From 8eee70fae74f0e057d732c243563cf646007e8e2 Mon Sep 17 00:00:00 2001 From: Omkar Date: Fri, 27 Dec 2024 17:19:48 +0100 Subject: [PATCH 01/15] Added the tool point to raster and tests --- .../training_data_tools/points_to_raster.py | 130 +++++++++++++++++ notebooks/testing_points_to_raster.ipynb | 135 ++++++++++++++++++ .../points_to_raster_test.py | 39 +++++ 3 files changed, 304 insertions(+) create mode 100644 eis_toolkit/training_data_tools/points_to_raster.py create mode 100644 notebooks/testing_points_to_raster.ipynb create mode 100644 tests/training_data_tools/points_to_raster_test.py diff --git a/eis_toolkit/training_data_tools/points_to_raster.py b/eis_toolkit/training_data_tools/points_to_raster.py new file mode 100644 index 00000000..0162fea9 --- /dev/null +++ b/eis_toolkit/training_data_tools/points_to_raster.py @@ -0,0 +1,130 @@ +import os +from numbers import Number + +import geopandas +import numpy as np +import rasterio +from beartype import beartype +from beartype.typing import Optional, Tuple +from rasterio.io import MemoryFile + +from eis_toolkit.exceptions import NonMatchingCrsException +from eis_toolkit.raster_processing.create_constant_raster import create_constant_raster +from eis_toolkit.utilities.checks.raster import check_matching_crs + + +@beartype +def save_raster(path: str, array: np.ndarray, meta: dict = None, overwrite: bool = False): + """Save the given raster NumPy array and metadata in a raster format at the provided path. + + Args: + path: Path to store the raster. + array: Raster NumPy array. + meta: Raster metadata. + overwrite: overwrites the existing raster file if present, default false. + """ + + if os.path.exists(path) and overwrite is False: + print(f"File already exists: {os.path.basename(path)}.") + return + else: + if array.ndim == 2: + array = np.expand_dims(array, axis=0) + + with rasterio.open(path, "w", compress="lzw", **meta) as dst: + dst.write(array) + dst.close() + + +def _point_to_raster(raster_array, raster_meta, positives): + with MemoryFile() as memfile: + raster_meta["driver"] = "GTiff" + with memfile.open(**raster_meta) as datawriter: + datawriter.write(raster_array, 1) + + with memfile.open() as memraster: + if not check_matching_crs( + objects=[memraster, positives], + ): + raise NonMatchingCrsException( + "The raster and geodataframe are not in the same CRS." + ) # save raster data. + + # Select only positives that are within raster bounds + positives = positives.cx[ + memraster.bounds.left : memraster.bounds.right, # noqa: E203 + memraster.bounds.bottom : memraster.bounds.top, # noqa: E203 + ] + + positives_rows, positives_cols = rasterio.transform.rowcol( + memraster.transform, positives.geometry.x, positives.geometry.y + ) + raster_array[positives_rows, positives_cols] = 1 + + return raster_array, raster_meta + + +@beartype +def points_to_raster( + positives: geopandas.GeoDataFrame, + template_raster: Optional[rasterio.io.DatasetReader] = None, + coord_west: Optional[Number] = None, + coord_north: Optional[Number] = None, + coord_east: Optional[Number] = None, + coord_south: Optional[Number] = None, + target_epsg: Optional[int] = None, + target_pixel_size: Optional[int] = None, + raster_width: Optional[int] = None, + raster_height: Optional[int] = None, + nodata_value: Optional[Number] = None, +) -> Tuple[np.ndarray, dict]: + """Convert a point data set into a binary raster. + + Assigning a value of 1 to pixels corresponding to the points and 0 elsewhere. + Provide 3 methods for raster creation: + 1. Set extent and coordinate system based on a template raster. + 2. Set extent from origin, based on the western and northern coordinates and the pixel size. + 3. Set extent from bounds, based on western, northern, eastern and southern points. + + Always provide values for height and width for the last two options, which correspond to + the desired number of pixels for rows and columns. + + Args: + positives: The geodataframe points set to be converted into raster. + template_raster: An optional raster to use as a template for the output. + coord_west: The western coordinate of the output raster in [m]. + coord_east: The eastern coordinate of the output raster in [m]. + coord_south: The southern coordinate of the output raster in [m]. + coord_north: The northern coordinate of the output raster in [m]. + target_epsg: The EPSG code for the output raster. + target_pixel_size: The pixel size of the output raster. + raster_width: The width of the output raster. + raster_height: The height of the output raster. + nodata_value: The nodata value of the output raster. + + Returns: + A tuple containing the output raster as a NumPy array and updated metadata. + + Raises: + InvalidParameterValueException: Provide invalid input parameter. + NonMatchingCrsException: The raster and geodataframe are not in the same CRS. + """ + + base_value = 0 + raster_array, raster_meta = create_constant_raster( + base_value, + template_raster, + coord_west, + coord_north, + coord_east, + coord_south, + target_epsg, + target_pixel_size, + raster_width, + raster_height, + nodata_value, + ) + + raster_array, raster_meta = _point_to_raster(raster_array, raster_meta, positives) + + return raster_array, raster_meta diff --git a/notebooks/testing_points_to_raster.ipynb b/notebooks/testing_points_to_raster.ipynb new file mode 100644 index 00000000..fb757f4e --- /dev/null +++ b/notebooks/testing_points_to_raster.ipynb @@ -0,0 +1,135 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import sys\n", + "\n", + "sys.path.append(\"..\")" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import pandas as pd\n", + "import geopandas as gpd\n", + "import rasterio\n", + "from rasterio import plot\n", + "\n", + "import matplotlib\n", + "import matplotlib.pyplot as plt\n", + "import textwrap\n", + "\n", + "from tests.raster_processing.clip_test import raster_path as SMALL_RASTER_PATH\n", + "from eis_toolkit.training_data_tools.points_to_raster import points_to_raster" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Creating data points" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "positives = pd.DataFrame(\n", + " {\n", + " \"x\": [384824, 384803, 384807, 384793, 384773, 384785],\n", + " \"y\": [6671284, 6671295, 6671277, 6671293, 6671343, 6671357],\n", + " }\n", + ")\n", + "positives = gpd.GeoDataFrame(positives, geometry=gpd.points_from_xy(positives.x, positives.y, crs=\"EPSG:3067\"))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Creating binary raster from template raster" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "def plot_binary_raster_from_template_raster(template_raster_path):\n", + " \n", + " with rasterio.open(SMALL_RASTER_PATH) as temp_raster:\n", + "\n", + " transform=temp_raster.transform\n", + " \n", + " outarray,outmeta = points_to_raster(positives=positives,\n", + " template_raster=temp_raster,\n", + " nodata_value=-999)\n", + "\n", + " fig,axes = plt.subplots(1,2,figsize=(15,10))\n", + " norm = plt.Normalize(vmax=np.nanmax(outarray), vmin=np.nanmin(outarray))\n", + " cmap = 'gray'\n", + "\n", + " plot.show(temp_raster, ax=axes[0])\n", + " axes[0].set_title('Template Raster with positives.', fontsize=15)\n", + " positives.plot(ax=axes[0], facecolor='w', edgecolor='w')\n", + "\n", + " plt.colorbar(matplotlib.cm.ScalarMappable(norm=norm,cmap=cmap),ax=axes)\n", + " plot.show(outarray, transform, ax=axes[1], cmap='gray')\n", + " axes[1].set_title(textwrap.fill('Converted binary raster from positives and template raster.', width=30), fontsize=15)\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plot_binary_raster_from_template_raster(SMALL_RASTER_PATH)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "eis_toolkit_development_platform_eis_not_installed_py3.9", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.18" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/tests/training_data_tools/points_to_raster_test.py b/tests/training_data_tools/points_to_raster_test.py new file mode 100644 index 00000000..c53e5c3a --- /dev/null +++ b/tests/training_data_tools/points_to_raster_test.py @@ -0,0 +1,39 @@ +import geopandas as gpd +import pandas as pd +import pytest +import rasterio + +from eis_toolkit.exceptions import NonMatchingCrsException +from eis_toolkit.training_data_tools.points_to_raster import points_to_raster +from tests.raster_processing.clip_test import raster_path as SMALL_RASTER_PATH + +# Generating data +positives = pd.DataFrame( + { + "x": [384824, 384803, 384807, 384793, 384773, 384785], + "y": [6671284, 6671295, 6671277, 6671293, 6671343, 6671357], + } +) +positives = gpd.GeoDataFrame(positives, geometry=gpd.points_from_xy(positives.x, positives.y, crs="EPSG:3067")) + + +@pytest.mark.parametrize("positives", [positives]) # Case where CRS matches +def test_points_to_raster(positives): + """Test that points_to_raster function works as expected.""" + with rasterio.open(SMALL_RASTER_PATH) as temp_raster: + + outarray, outmeta = points_to_raster(positives, temp_raster, nodata_value=-999) + + assert outarray.shape == ( + temp_raster.height, + temp_raster.width, + ), f"Expected output array shape {(temp_raster.height,temp_raster.width)} but got {outarray.shape}" + + +@pytest.mark.parametrize("positives", [positives.to_crs(epsg=4326)]) # Case where CRS do not matches +def test_non_matching_crs_error(positives): + """Test that different crs raises NonMatchingCrsException.""" + + with pytest.raises(NonMatchingCrsException): + with rasterio.open(SMALL_RASTER_PATH) as temp_raster: + outarray, outmeta = points_to_raster(positives=positives, template_raster=temp_raster, nodata_value=-999) From d862bcb163b5b5c1c00723cd8f1708604372bf23 Mon Sep 17 00:00:00 2001 From: Omkar Date: Mon, 6 Jan 2025 12:11:57 +0100 Subject: [PATCH 02/15] Corrected the plot function added the argument to plot the data with bounds --- notebooks/testing_points_to_raster.ipynb | 9 ++++----- 1 file changed, 4 insertions(+), 5 deletions(-) diff --git a/notebooks/testing_points_to_raster.ipynb b/notebooks/testing_points_to_raster.ipynb index fb757f4e..9ea82791 100644 --- a/notebooks/testing_points_to_raster.ipynb +++ b/notebooks/testing_points_to_raster.ipynb @@ -68,9 +68,7 @@ "source": [ "def plot_binary_raster_from_template_raster(template_raster_path):\n", " \n", - " with rasterio.open(SMALL_RASTER_PATH) as temp_raster:\n", - "\n", - " transform=temp_raster.transform\n", + " with rasterio.open(template_raster_path) as temp_raster:\n", " \n", " outarray,outmeta = points_to_raster(positives=positives,\n", " template_raster=temp_raster,\n", @@ -85,8 +83,9 @@ " positives.plot(ax=axes[0], facecolor='w', edgecolor='w')\n", "\n", " plt.colorbar(matplotlib.cm.ScalarMappable(norm=norm,cmap=cmap),ax=axes)\n", - " plot.show(outarray, transform, ax=axes[1], cmap='gray')\n", + " plot.show(outarray, transform=outmeta['transform'], with_bounds=True, ax=axes[1], cmap='gray')\n", " axes[1].set_title(textwrap.fill('Converted binary raster from positives and template raster.', width=30), fontsize=15)\n", + "\n", " " ] }, @@ -97,7 +96,7 @@ "outputs": [ { "data": { - "image/png": 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AAAD4hNIhAAAAAACQgtKh9LGiBQAAAAAAwCesaAFwkgioJG+KwsEydcQP6HD7VkmJwe4UAAAAgCEmqxMtJhiUCQZ7fN7LDdkbScTddhaNOcRE7DHBPLf92XieW1zAIc4pxmHxU9xxLF0kBnBJmMPyMxOJ2mOi9hhJ8sK59iCXPgXtxy2RY4+Jh+3dkaTYcPvxLSpst8b8ReERa8yp+QetMTWhQ9YYSRoRbNXI/FqdUnKHwjlVye0dsY/0x8N36UjbC0oY+/ndlLBfu1Hj31tq0MusJJBrfwIDmLxKOCzKdImRpJaE/UIIqvfrstV1PgEA+M6lnMBz/f0ZgCRKh04EpUMAhrSR+bU6rWypcoOVKdtzg5U6rWypRubXDlLPAAAAAAxFJFoADGEBnVJyhyTJ81Lf7jp/Pv48b4UAAAAA/JHVpUMA0JvSvLNSyoU+zfMCCudUqSjvL9XU/t8D2DMAAAAgs1E6lD4+xgUwZIVzSp3icoPl/dwTAAAAACcLEi0AhqyOmP1LdSUpEt/fzz0BAAAAcLKgdAjAkHWw/Q11xD5SbrCyy3e0SJIxCUXiDWpq3zwIvQMAAAAyF6VD6WNFC4AhLKE/Hr5L0vGkyid1/nz8+cy6lTIAAACA7EWiBUCfBDxP51TV6NJx/0vnVNUo4HmD3aVeHWl7Qe8euFGReEPK9ki8Qe8euFFH2l4YpJ4BAAAAGIqyu3QoGDz+6ElOL8/9iRcKOe3KJByWKMXj9nZiMWvMgP/Z6vCHshe05+RMwsdVAQGHUbAPt29MLGqPaWt3ayzHftl50Xx7TMyfZXPGNd0aMvrrMeN1xzkzVTW8KLn5o2NNuuv1F7Xmg/dUnG8fg1OGHbLGjA4dscYEPbfz7Wh8mI4e+612H5ujkrwpCgfL1BE/oMPtW3V8JcswNSfs4x13uDITDoMZ8gbwxHXkOpYuEj7l7+MOY+lyTFzlOjQVMb3PKZHsWMkKAL1yWZbvZeCHLJnYJyDbUTqUvuxOtAAYMH89ZryWzrysy/bKgkItnXmZbnzxOb1l3L58dnAkdJjvYgEAAADQzygdAmAV8Dzdcc7M5L8//Zwk3XHOTAUGfj0WAAAAAGQUVrQAsJo65jMp5UKfFvA8VQ0v0udGjtW2I+8PYM8AAAAA9AdKh9LHihYAVmWFBU5xo8I9J2MAAAAA4GRAogWA1YHmFqe4Qx1N/dwTAAAAAMhslA4BsNrywT59dKxJlQWF3d7OOWGMGlqa9bsjuwehdwAAAAD8RulQ+ljRAsAqYYzuev3F5L8//Zwk3fX6i0ooO974AAAAAKC/kGgB4GTNB+/pxhefU0NLc8r2hpZm3fjic1rzwXuD1DMAAAAAyBzZXToUDBx/9MCE7C/Piyfc9hWL2WPicXtMJGoNcVoTEAy6RA2sgEPeznGpl5ewHxfj2ffnOQyTcTluDkwk4hTntbXbY1rtMcH2fHtMJGTfV8L9lsxrPnhPa/f8Xv+nolrlw4Zrf+sx/c/HHyZXteTn2M/vkSH7972MCLZaY6LG7e2rxYSd4mwSxn6+BTzH9xMHAfnXlh9cxzvu0y2+XcbbhesxiTvsr129X08dPvUZAAaT102JMICTV7aU6mSa7E60ABhwCWP0esPewe4GAAAAAGQkPn4DAAAAAADwCStaAAAAAABACu46lD5WtAAAAAAAAPiERAsAAAAAAIBPKB0CAAAAAAApKB1KHytaAAAAAAAAfEKiBQAAAAAAwCdZXTpkAgGZQM+5Iq+X55Jygk778nLsQ2XiCXtMLGbfl0OMM8+nXJpTO/bXr6DbeDtxWTYWd2jH5bUZh2Mbd9mZlOjosMYEWtqsMcGmYdaYUEvYGpPT5naOeBF7XEs01xpzLJ5njYka+/UW9BzON0cJM3A5Zz/77dJW3KfX5txvh/1FjT/vAwGHPgXltrzU5fUlLJ9NJBz3BQAAkA0oHUofK1oAAAAAAAB8QqIFAAAAAADAJ1ldOgQAAAAAAPxH6VD6WNECAAAAAADgExItAAAAAAAAPqF0CAAAAAAApKB0KH2saAEAAAAAAPAJiRYAAAAAAACfZHfpUE5ACvaSK0oE7W3E4o77chiqeMIa4sXt+zMu7QQdl0x5LjEO+baAfX9eb8eiU8Kt39mxICw9Jhqzx7S0WGMCzXnWmNyj+faYRofrRFJOk/34HmousMbsGVFijRkdOmqNqQw1WmMkKehwNgU9+3UZ9OzXpZ8SDnnwhPEnVx6Q/bW5xEhSwKdxiju8ebkdW8d+O76+/m4DAAAgU1A6lD5WtAAAAAAAAPiERAsAAAAAAIBPsrt0CAAAAAAA+I7SofSxogUAAAAAAMAnJFoAAAAAAAB8QukQAAAAAABIQelQ+ljRAgAAAAAA4BMSLQAAAAAAAD6hdAgAAAAAAKSgdCh9WZ1oMZ4n43k9B+Q4LNjJCTrty4vH7TFB+/5M0GF/sZi9nUjU3o4kL8fhRHTot3ob506hXHtMwj6OkuSwNymRsIYYz/7avIBDOwmHMTL2dlzjTNThHGg6Zo0JHcq3xuSXhKwxktR+yP52cWykfX/vFZZZY8rDzdaYwmC7NUaSCgId1piIsV+XcYeYXM9+fseNfwsJ4w5Xikufgp7juevA5fU57c+vdgAAAIABRukQAAAAAACAT7J6RQsAAAAAAPAfpUPpY0ULAAAAAACAT1jRAgAYIAGV5p2l3JxytccO6GD7Nkl8zwoAAACGFhItAIB+N7pgpiaXflP5OZXJba2xBu04eK8+anlpEHsGAACA7lA6lD5KhwAA/Wp0wUz9n4r7lBcsT9meHyzX2RX3qqrgwkHqGQAAAOA/Ei0AgH4U0OTSb0qSvE/dbr3z58mjviGmIwAAAAwVlA4BAPpNad5ZKeVCn+Z5AQ0LVao07/M62L51AHsGAACA3lA6lL6sTrR4xsjrbaA9z95ITtBpXyZhHyov7vCljrGYQ4xDh+JxhyDJ5TT0jMMnyUGHcQo6jLfcxlsBh9fn0ieXCzFhf/1ewH5sjUM7rozD8TVtbdaYwJEma0ze/nynPg0rto93tMge01BUZI15b1iZNaYiZH9tkjQm96A1Jtezj3fc4TpxiXEVl8v15NO+HPod9NL70tpwTqlTXF5O6jF32V/Axy/STff1+d0GAABDhcsfxJ7L32tAFmKtNgCg33TE7IkuSWqPHejnngAAAAADI6tXtAAAMtvB9jfUFmtQXrC8y3e0SJIxCbXF9v/pVs8AAADIFJQOpY8VLQCAfpTQjoM/knQ8qfJJnT/vOHSv5GMZEAAAADCYSLQAAPpVfcuL+p+Pb1N7fH/K9rbYfv33x9/QRy0vDVLPAAAAAP9ROgQA6Hf1LS+qvmWDSvPOUm5OudpjB/5ULsRKFgAAgExE6VD6SLQAAAZIQgfbtyjBYkoAAAAMYfy2CwAAAAAA4BNWtAAAAAAAgBSUDqUvuxMtsYRkeqnvd1mv43lu+woG7TEh+3B68ZC9nbj9OwtMPG5vR5KiUXuMl2uPcXj5culTN7d3TTfOczkmDheikctY2vflObUjmYQ/bw4ubzKmpdUak3OgyWl/BYX2czdSaD+XmgrzrDF/GFZqjanMb7bGSFJx0D4Go3KOObVlE5f9/SSogZ0c4sbhmnN5G8zAOc2lBCnAd8AAADAoPNe/s4AhiNIhAAAAAAAAn2T3ihYAAAAAAOA7SofSx4oWAAAAAAAAn5BoAQAAAAAA8EmfEi2LFy/WX/7lX6qwsFDl5eW67LLL9M4776TEHDt2TPPnz1d1dbXy8/M1YcIELV26NCWmo6NDN998s0pLS1VQUKBLL71UH3744Ym/GgAAcEKY6wEAgPTn0qFMe2SDPiVaXnnlFd100016/fXXtW7dOsViMc2ZM0ctLS3JmIULF2rNmjV6+umntWvXLi1cuFA333yznn/++WTMggULtHLlSq1YsUKvvvqqjh07pksuuURx1zvpAACAfsFcDwAAcGL69GW4a9asSfn5iSeeUHl5ubZu3aq/+qu/kiRt2rRJc+fO1Re+8AVJ0vXXX69HH31UW7ZsUV1dnRobG/XYY4/p5z//uWbNmiVJevrpp1VTU6P169ertrbWh5cFAADSwVwPAABwYk7oO1oaGxslSSUlJclt5513nlatWqV9+/bJGKMNGzbo3XffTf5StXXrVkWjUc2ZMyf5f6qqqjRp0iS99tpr3e6no6NDTU1NKQ8AAND/Bmqul5jvAQDININdJpSNZUPSCdze2RijW265Reedd54mTZqU3L5kyRJ99atfVXV1tXJychQIBLRs2TKdd955kqSGhgbl5uZq5MiRKe1VVFSooaGh230tXrxYd911V5ftXjQmLxHsuZNBhzyS59ljJClgjzMO+/NyHIY8x76s2nNcem0iEXtMLGbfn8PrV7CXY5FsyB4iSXIZJ5Nw2J99h55DjNNF7bnlLT2HYXJ6bQl7n1yOv3fU7Q+ZcEPYGlNQWGyNiRbaB6Bp+HBrzB8KS60xkjQ2/4A15jOhI/aGHM7ddhOyxsRNdn4HeWKAvzs9IPs14NIn5347XOJBz+G6HGIGcq6Xep7vAQAAsknavznPnz9fO3bs0PLly1O2L1myRK+//rpWrVqlrVu36v7779e8efO0fv36XtszxvT4B++iRYvU2NiYfOzduzfdbgMAAEcDOddLzPcAAGBoSGtFy80336xVq1Zp48aNqq6uTm5va2vT7bffrpUrV+riiy+WJE2ePFnbt2/Xfffdp1mzZqmyslKRSERHjhxJ+aRr//79mj59erf7C4fDCoftn6YDAAB/DPRcLzHfAwCQSTKxXCfT+tOTPq1oMcZo/vz5evbZZ/XSSy9p7NixKc9Ho1FFo1EFAqnNBoNBJRLHl1xPmTJFoVBI69atSz5fX1+vN998s9dfvgAAQP9jrgcAADgxfVrRctNNN+kXv/iFnn/+eRUWFibrrIuLi5Wfn6+ioiLNmDFD3/jGN5Sfn68xY8bolVde0VNPPaUHHnggGXvdddfp1ltv1ahRo1RSUqLbbrtNZ555ZvLOBAAAYHAw1wMAAJyYPiVali5dKknJ2zl2euKJJ3TNNddIklasWKFFixbpK1/5ig4fPqwxY8bo+9//vm644YZk/IMPPqicnBxdfvnlamtr08yZM/Xkk08q6PJlqgAAoN8w1wMAAInSoRPhmWzp6Sc0NTWpuLhYM8cvVE6wl1puP+86lHC420TU4e49HVFrjGnvsO+rwyFGbnedUcDhbkm59rupON11KODjL9hRhzsqORwTOdzByekycbgLkDOnOyo5HDeXO2ENL3DpkUxVmTWmebz9rkNHx9vPgZbP2q+T006tt8ZI0qyKXdaYM/M+dGrLxs+7DsWdb9HVu6DD7XQy8W46ft11yM/92captTmu//u/d6mxsVFFRUV+de2k1jnfAwCQSYb6XN85/37+85/PuA9I4vG4tm3b1udj8Mgjj+jee+9VfX29Jk6cqIceekjnn39+t7HPPvusli5dqu3bt6ujo0MTJ07UnXfeqdraWuf9Zed9RgEAAAAAACyeeeYZLViwQN/5zne0bds2nX/++brooou0Z8+ebuM3btyo2bNna/Xq1dq6dasuuOACfelLX9K2bduc95nWXYcAAAAAAMDQNVRKhx544AFdd911+od/+AdJ0kMPPaQXXnhBS5cu1eLFi7vEP/TQQyk/33PPPXr++ef161//Wp///Oed9pnViRYvFpOX6Hkpk0k4LNhxKJtx75DDUn+XUo4c+/IsE3NcwuWy1MvhZHUpwfEcSlnkWqLg0laO/fT1HMp5XC5Vz+WCdnxtTm8O9momp/Ii49JOa5tDkBQ41GSNGVZgvy1rZPgwa0y00H5s944cYY2RpL3FJdaY08P2MqQRwdZP/BTQiLypyg2WKxLfr6PtWyQlFE+4lPs4vu06lBj5VV7kJ9fSKCufXpp7qZY9LmEpL4qazDseAIC+cfk9zXP96gEAgy4SiWjr1q369re/nbJ9zpw5eu2115zaSCQSam5uVkmJ/e+KTlmdaAGAgVY6bI7GlXxXeTmjk9vaY/X6/eF/UfOxjYPYMwAAAODk0NSU+iFwOBxWONz1Q9+DBw8qHo+roqIiZXtFRUXyzoo2999/v1paWnT55Zc794/vaAEAR6XD5mhi2Y8VDqa+UYeDFZpY9mNVDps5SD0DAAAA/NVZOpRpD0mqqalRcXFx8tFdCdAnfXolmjHGaXXa8uXLdeedd+qZZ55ReXm589ixogUAnAQ0ruS7krqWyXleQMYkNLH0W2rYs0FyuIMNAAAAgPTs3bs35a5D3a1mkaTS0lIFg8Euq1f279/fZZXLpz3zzDO67rrr9O///u+aNWtWn/rHihYAcDAib6ryckb3+F1EnhfQsJzRGpV31gD3DAAAADi5FBUVpTx6SrTk5uZqypQpWrduXcr2devWafr06T22v3z5cl1zzTX6xS9+oYsvvrjP/WNFCwA4yA26LRUMB8v6uScAAABA/xsqdx265ZZbdNVVV2nq1KmaNm2afvrTn2rPnj264YYbJEmLFi3Svn379NRTT0k6nmS5+uqr9fDDD+ucc85JrobJz89XcXGx0z5JtACAg0h8v1NcR/xAP/cEAAAAgKsrrrhChw4d0t133636+npNmjRJq1ev1pgxYyRJ9fX12rNnTzL+0UcfVSwW00033aSbbropuX3u3Ll68sknnfZJogUAHBxt36L2WL3CwYpuy4eMSagt/rEOtb8xCL0DAAAA0JN58+Zp3rx53T736eTJyy+/fML74ztaAMBJQr8//C+SjidVPqnz57cO/lB8ES4AAACGgsG+u1Bvdx3KdCRaAMDRwda1euvAzeqIf5yyvSPeoLcO3KyG1hcHqWcAAAAAMkV2lw5FY1Ig2OPTXsIhj+Rw72xJMkGfclIu+wv2/JqSckNuuzP2T9dNJGpvKB63txOLOfTHcRxdxqCXY58Usp/iXsB+TEzcYZWC47nkOWRhTcIhU+twbF1iTNR+3CQp0dRsjQl9nGuNKSiyn7uRYns7jSXDrDGStGtkpTXm1Hz796qcmbdXklTf8qLqWzZoZN5UhYNl6ogf0JH2LZISCjnkruOO+W2XuKD8yehHjMO15MilT0Fv4Fb9xOV2XTqxvH/Fs+QTFgBAzzzH3+cAoDfZnWgBgEGR0JH2/xnsTgAAAAD9JhNLdTKtPz2hdAgAAAAAAMAnJFoAAAAAAAB8QukQAAAAAABIQelQ+ljRAgAAAAAA4BMSLQAAAAAAAD6hdAgAAAAAAKSgdCh9rGgBAAAAAADwSXavaInGpEAvuaJE0N6G5zntyks45KQc2/KjHa+31/0JJugwBsGEPSbhEBON2vujkL0dSZ7nMt4OfQo4vH4HXsKeOfU1txpwOJfiPu3LOIyjJBOJ2GMam6wxeQ351phhI+xvTR0j3d6+/lg8yhqzJf8Ua0yeZz+/a3IPuXTJSVw+vZ9kqYDczkubXMdhdDm+Y3KO9Pr8sVx/+gwAAIDslt2JFgAAAAAA4DtKh9JH6RAAAAAAAIBPSLQAAAAAAAD4hNIhAAAAAACQgtKh9LGiBQAAAAAAwCckWgAAAAAAAHxC6RAAAAAAAEhB6VD6sjLR0jm4sUSk90DPYcGO57nt1M+2bBIJh5i4U1PGNkaSjIk6NOQQ48LxwvCMyxi4HBOHGJexNDF7iHE7Ji5jYFxev+v+/OLQp4DL+RbvsMbEou3WmHi724K8RKu9rWiLvd9tOfZzoDVkPyZxx2ug3WTngsOg7K8v6DmcS3K4BhwkHPojSQnPfuyO5fTep5Zjx5/Pll8AsgFjCQDIRMxPsMnKREtzc7Mk6eUDPxvknqDP7H/zIlPZ8wySPYciHXaI2ekQ46M/OsT8v/7uBIaM5uZmFRcXD3Y3hoTO+R4AgEzCXA+brEy0VFVVae/evSosLJTn1yqSIaipqUk1NTXau3evioqKBrs7Qx7jPbAY74HFeNsZY9Tc3KyqqqrB7sqQwXxvx7U5sBjvgcV4DyzG2+5km+spHUpfViZaAoGAqqurB7sbWaOoqIg3ywHEeA8sxntgMd6949MtfzHfu+PaHFiM98BivAcW49075nq4yM4vAQAAAAAAAMhAWbmiBQAAAAAA9B9Kh9LHipYhLBwO64477lA4HB7srpwUGO+BxXgPLMYbyExcmwOL8R5YjPfAYrwB/3gmW1JCAAAAAACgXzU1Nam4uFjjx49XMBgc7O6kiMfjeu+999TY2JjR3yVE6RAAAAAAAEhB6VD6KB0CAAAAAADwCYkWAAAAAAAAn1A6BAAAAAAAUlA6lD5WtAySpUuXavLkySoqKlJRUZGmTZum3/zmN8nnjx07pvnz56u6ulr5+fmaMGGCli5d2m1bxhhddNFF8jxPzz33XHL7yy+/LM/zun1s3rw5pY0nn3xSkydPVl5eniorKzV//vyU53fu3KkZM2YoPz9fn/nMZ3T33XdnzUkuZdZ4b968WTNnztSIESM0cuRIzZkzR9u3b0/ZB+P9Zz2NtyS9++67qqurU2lpqYqKinTuuedqw4YNKTF79uzRl770JRUUFKi0tFRf//rXFYlEUmIY7z87kfH+3e9+pyuvvFI1NTXJ/Tz88MNd9pHt4w30RSbNP9LQnu8zaayZ65nr/ZYp481cD7hhRcsgqa6u1g9+8AONGzdOkvSzn/1MdXV12rZtmyZOnKiFCxdqw4YNevrpp3XKKado7dq1mjdvnqqqqlRXV5fS1kMPPSTP87rsY/r06aqvr0/Z9r3vfU/r16/X1KlTk9seeOAB3X///br33nt19tlnq729Xe+//37y+aamJs2ePVsXXHCBNm/erHfffVfXXHONCgoKdOutt/o5LP0mU8a7ublZtbW1qqur0yOPPKJYLKY77rhDtbW1+vDDDxUKhRhvx/GWpIsvvlinnXaaXnrpJeXn5+uhhx7SJZdcoj/84Q+qrKxUPB7XxRdfrLKyMr366qs6dOiQ5s6dK2OMfvzjH0vi/PZzvLdu3aqysjI9/fTTqqmp0Wuvvabrr79ewWAw+cfcUBhvoC8yZf6Rhv58nyljzVzPXN8fMmW8mesBRwYZY+TIkWbZsmXGGGMmTpxo7r777pTnzzrrLPPd7343Zdv27dtNdXW1qa+vN5LMypUre2w/EomY8vLylHYPHz5s8vPzzfr163v8f4888ogpLi427e3tyW2LFy82VVVVJpFI9OUlZpTBGO/NmzcbSWbPnj3JbTt27DCSzO9//3tjDOP9Sb2N94EDB4wks3HjxuS2pqYmIyl5Pq9evdoEAgGzb9++ZMzy5ctNOBw2jY2NxhjG+5NOdLy7M2/ePHPBBRckfx6q4w30BfP9wGGuH1jM9QOLuR79pbGx0Ugyp556qhk/fnxGPU499VQjKXl9ZypKhzJAPB7XihUr1NLSomnTpkmSzjvvPK1atUr79u2TMUYbNmzQu+++q9ra2uT/a21t1ZVXXqmf/OQnqqystO5n1apVOnjwoK655prktnXr1imRSGjfvn2aMGGCqqurdfnll2vv3r3JmE2bNmnGjBkKh8PJbbW1tfroo4/0xz/+8cQHYIAN5niffvrpKi0t1WOPPaZIJKK2tjY99thjmjhxosaMGSOJ8e5kG+9Ro0ZpwoQJeuqpp9TS0qJYLKZHH31UFRUVmjJliqTjYzlp0iRVVVUl/19tba06Ojq0devWZAzj7c94d6exsVElJSXJn4faeAN9wXw/cJjrBxZz/cBirgcyH6VDg2jnzp2aNm2a2tvbNXz4cK1cuVJnnHGGJGnJkiX66le/qurqauXk5CgQCGjZsmU677zzkv9/4cKFmj59epflgD157LHHVFtbq5qamuS2999/X4lEQvfcc48efvhhFRcX67vf/a5mz56tHTt2KDc3Vw0NDTrllFNS2qqoqJAkNTQ0aOzYsSc4EgMjE8a7sLBQL7/8surq6vTP//zPkqTTTjtNL7zwgnJyjl+OjPdxtvH2PE/r1q1TXV2dCgsLFQg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" ] From acf04299dae07bdc8f840d8dd0036884a82bbd37 Mon Sep 17 00:00:00 2001 From: Omkar Date: Fri, 10 Jan 2025 14:14:06 +0100 Subject: [PATCH 03/15] Points to raster code now accepts geodataframe In this commit I have added the argument to the points_to_raster.py as per the user, value of the points will be displayed on the raster. --- .vscode/launch.json | 15 ++++ .../training_data_tools/points_to_raster.py | 17 ++-- notebooks/testing_points_to_raster.ipynb | 75 ++++++++++++++---- .../interpolation_test_data_small.gpkg | Bin 98304 -> 98304 bytes .../points_to_raster_test.py | 17 ++-- 5 files changed, 94 insertions(+), 30 deletions(-) create mode 100644 .vscode/launch.json diff --git a/.vscode/launch.json b/.vscode/launch.json new file mode 100644 index 00000000..6b76b4fa --- /dev/null +++ b/.vscode/launch.json @@ -0,0 +1,15 @@ +{ + // Use IntelliSense to learn about possible attributes. + // Hover to view descriptions of existing attributes. + // For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387 + "version": "0.2.0", + "configurations": [ + { + "name": "Python Debugger: Current File", + "type": "debugpy", + "request": "launch", + "program": "${file}", + "console": "integratedTerminal" + } + ] +} \ No newline at end of file diff --git a/eis_toolkit/training_data_tools/points_to_raster.py b/eis_toolkit/training_data_tools/points_to_raster.py index 0162fea9..2e01bc9a 100644 --- a/eis_toolkit/training_data_tools/points_to_raster.py +++ b/eis_toolkit/training_data_tools/points_to_raster.py @@ -8,7 +8,7 @@ from beartype.typing import Optional, Tuple from rasterio.io import MemoryFile -from eis_toolkit.exceptions import NonMatchingCrsException +from eis_toolkit.exceptions import NonMatchingCrsException,EmptyDataFrameException from eis_toolkit.raster_processing.create_constant_raster import create_constant_raster from eis_toolkit.utilities.checks.raster import check_matching_crs @@ -36,7 +36,7 @@ def save_raster(path: str, array: np.ndarray, meta: dict = None, overwrite: bool dst.close() -def _point_to_raster(raster_array, raster_meta, positives): +def _point_to_raster(raster_array, raster_meta, positives, attribute): with MemoryFile() as memfile: raster_meta["driver"] = "GTiff" with memfile.open(**raster_meta) as datawriter: @@ -48,7 +48,7 @@ def _point_to_raster(raster_array, raster_meta, positives): ): raise NonMatchingCrsException( "The raster and geodataframe are not in the same CRS." - ) # save raster data. + ) # Select only positives that are within raster bounds positives = positives.cx[ @@ -56,10 +56,12 @@ def _point_to_raster(raster_array, raster_meta, positives): memraster.bounds.bottom : memraster.bounds.top, # noqa: E203 ] + values = positives[attribute] + positives_rows, positives_cols = rasterio.transform.rowcol( memraster.transform, positives.geometry.x, positives.geometry.y ) - raster_array[positives_rows, positives_cols] = 1 + raster_array[positives_rows, positives_cols] = values return raster_array, raster_meta @@ -67,6 +69,7 @@ def _point_to_raster(raster_array, raster_meta, positives): @beartype def points_to_raster( positives: geopandas.GeoDataFrame, + attribute: str, template_raster: Optional[rasterio.io.DatasetReader] = None, coord_west: Optional[Number] = None, coord_north: Optional[Number] = None, @@ -106,10 +109,14 @@ def points_to_raster( A tuple containing the output raster as a NumPy array and updated metadata. Raises: + EmptyDataFrameException: The input GeoDataFrame is empty. InvalidParameterValueException: Provide invalid input parameter. NonMatchingCrsException: The raster and geodataframe are not in the same CRS. """ + if positives.empty: + raise EmptyDataFrameException("Expected geodataframe to contain geometries.") + base_value = 0 raster_array, raster_meta = create_constant_raster( base_value, @@ -125,6 +132,6 @@ def points_to_raster( nodata_value, ) - raster_array, raster_meta = _point_to_raster(raster_array, raster_meta, positives) + raster_array, raster_meta = _point_to_raster(raster_array, raster_meta, positives, attribute) return raster_array, raster_meta diff --git a/notebooks/testing_points_to_raster.ipynb b/notebooks/testing_points_to_raster.ipynb index 9ea82791..0173d35d 100644 --- a/notebooks/testing_points_to_raster.ipynb +++ b/notebooks/testing_points_to_raster.ipynb @@ -8,7 +8,7 @@ "source": [ "import sys\n", "\n", - "sys.path.append(\"..\")" + "sys.path.insert(0, \"..\")" ] }, { @@ -28,7 +28,10 @@ "import textwrap\n", "\n", "from tests.raster_processing.clip_test import raster_path as SMALL_RASTER_PATH\n", - "from eis_toolkit.training_data_tools.points_to_raster import points_to_raster" + "from eis_toolkit.training_data_tools.points_to_raster import points_to_raster\n", + "\n", + "PATH_LABELS_GPKG = \"../tests/data/remote/interpolating/interpolation_test_data_small.gpkg\"\n", + "RASTER_PATH = \"../tests/data/remote/small_raster.tif\"" ] }, { @@ -42,15 +45,54 @@ "cell_type": "code", "execution_count": 3, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " id value geometry\n", + "0 1.0 10.0 POINT (384758.306 6671365.922)\n", + "1 2.0 20.0 POINT (384769.919 6671362.194)\n", + "2 3.0 30.0 POINT (384769.059 6671350.580)\n", + "3 4.0 40.0 POINT (384777.519 6671344.128)\n", + "4 5.0 35.0 POINT (384761.030 6671342.264)\n", + "5 6.0 25.0 POINT (384758.306 6671355.025)\n", + "6 7.0 50.0 POINT (384783.397 6671365.205)\n", + "7 8.0 100.0 POINT (384795.584 6671358.179)\n", + "8 9.0 120.0 POINT (384795.728 6671344.988)\n", + "9 11.0 79.0 POINT (384786.408 6671335.955)\n", + "10 12.0 60.0 POINT (384780.243 6671327.783)\n", + "11 13.0 50.0 POINT (384771.497 6671320.040)\n", + "12 NaN 40.0 POINT (384791.797 6671314.259)\n", + "13 NaN 30.0 POINT (384799.487 6671303.044)\n", + "14 NaN 20.0 POINT (384808.459 6671290.707)\n", + "15 NaN 30.0 POINT (384787.791 6671295.033)\n", + "16 NaN 30.0 POINT (384815.509 6671310.254)\n", + "17 NaN 20.0 POINT (384826.244 6671297.436)\n", + "18 NaN 15.0 POINT (384825.763 6671287.503)\n", + "19 NaN 10.0 POINT (384815.349 6671280.453)\n", + "20 NaN 13.0 POINT (384797.404 6671281.895)\n", + "21 NaN 32.0 POINT (384779.941 6671288.785)\n", + "22 NaN 35.0 POINT (384765.521 6671282.216)\n", + "23 NaN 45.0 POINT (384768.084 6671297.917)\n", + "24 NaN 50.0 POINT (384762.637 6671305.608)\n", + "25 NaN 55.0 POINT (384759.913 6671316.182)\n", + "26 NaN 60.0 POINT (384749.820 6671310.414)\n", + "27 NaN 65.0 POINT (384750.941 6671299.840)\n", + "28 NaN 40.0 POINT (384753.665 6671287.343)\n", + "29 NaN 100.0 POINT (384815.028 6671333.325)\n", + "30 NaN 90.0 POINT (384801.410 6671331.723)\n", + "31 NaN 70.0 POINT (384792.438 6671325.795)\n", + "32 NaN 120.0 POINT (384812.144 6671349.828)\n", + "33 NaN 100.0 POINT (384807.338 6671365.689)\n", + "34 NaN 80.0 POINT (384796.443 6671373.380)\n", + "35 NaN 30.0 POINT (384778.499 6671375.623)\n" + ] + } + ], "source": [ - "positives = pd.DataFrame(\n", - " {\n", - " \"x\": [384824, 384803, 384807, 384793, 384773, 384785],\n", - " \"y\": [6671284, 6671295, 6671277, 6671293, 6671343, 6671357],\n", - " }\n", - ")\n", - "positives = gpd.GeoDataFrame(positives, geometry=gpd.points_from_xy(positives.x, positives.y, crs=\"EPSG:3067\"))" + "gdf = gpd.read_file(PATH_LABELS_GPKG)\n", + "print(gdf)" ] }, { @@ -70,7 +112,8 @@ " \n", " with rasterio.open(template_raster_path) as temp_raster:\n", " \n", - " outarray,outmeta = points_to_raster(positives=positives,\n", + " outarray,outmeta = points_to_raster(positives=gdf,\n", + " attribute='value',\n", " template_raster=temp_raster,\n", " nodata_value=-999)\n", "\n", @@ -80,7 +123,11 @@ "\n", " plot.show(temp_raster, ax=axes[0])\n", " axes[0].set_title('Template Raster with positives.', fontsize=15)\n", - " positives.plot(ax=axes[0], facecolor='w', edgecolor='w')\n", + " points = gdf.cx[\n", + " temp_raster.bounds.left : temp_raster.bounds.right, # noqa: E203\n", + " temp_raster.bounds.bottom : temp_raster.bounds.top, # noqa: E203\n", + " ]\n", + " points.plot(ax=axes[0], facecolor='w', edgecolor='w')\n", "\n", " plt.colorbar(matplotlib.cm.ScalarMappable(norm=norm,cmap=cmap),ax=axes)\n", " plot.show(outarray, transform=outmeta['transform'], with_bounds=True, ax=axes[1], cmap='gray')\n", @@ -96,7 +143,7 @@ "outputs": [ { "data": { - "image/png": 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AAAD4hNIhAAAAAACQgtKh9LGiBQAAAAAAwCesaAFwkgioJG+KwsEydcQP6HD7VkmJwe4UAAAAgCEmqxMtJhiUCQZ7fN7LDdkbScTddhaNOcRE7DHBPLf92XieW1zAIc4pxmHxU9xxLF0kBnBJmMPyMxOJ2mOi9hhJ8sK59iCXPgXtxy2RY4+Jh+3dkaTYcPvxLSpst8b8ReERa8yp+QetMTWhQ9YYSRoRbNXI/FqdUnKHwjlVye0dsY/0x8N36UjbC0oY+/ndlLBfu1Hj31tq0MusJJBrfwIDmLxKOCzKdImRpJaE/UIIqvfrstV1PgEA+M6lnMBz/f0ZgCRKh04EpUMAhrSR+bU6rWypcoOVKdtzg5U6rWypRubXDlLPAAAAAAxFJFoADGEBnVJyhyTJ81Lf7jp/Pv48b4UAAAAA/JHVpUMA0JvSvLNSyoU+zfMCCudUqSjvL9XU/t8D2DMAAAAgs1E6lD4+xgUwZIVzSp3icoPl/dwTAAAAACcLEi0AhqyOmP1LdSUpEt/fzz0BAAAAcLKgdAjAkHWw/Q11xD5SbrCyy3e0SJIxCUXiDWpq3zwIvQMAAAAyF6VD6WNFC4AhLKE/Hr5L0vGkyid1/nz8+cy6lTIAAACA7EWiBUCfBDxP51TV6NJx/0vnVNUo4HmD3aVeHWl7Qe8euFGReEPK9ki8Qe8euFFH2l4YpJ4BAAAAGIqyu3QoGDz+6ElOL8/9iRcKOe3KJByWKMXj9nZiMWvMgP/Z6vCHshe05+RMwsdVAQGHUbAPt29MLGqPaWt3ayzHftl50Xx7TMyfZXPGNd0aMvrrMeN1xzkzVTW8KLn5o2NNuuv1F7Xmg/dUnG8fg1OGHbLGjA4dscYEPbfz7Wh8mI4e+612H5ujkrwpCgfL1BE/oMPtW3V8JcswNSfs4x13uDITDoMZ8gbwxHXkOpYuEj7l7+MOY+lyTFzlOjQVMb3PKZHsWMkKAL1yWZbvZeCHLJnYJyDbUTqUvuxOtAAYMH89ZryWzrysy/bKgkItnXmZbnzxOb1l3L58dnAkdJjvYgEAAADQzygdAmAV8Dzdcc7M5L8//Zwk3XHOTAUGfj0WAAAAAGQUVrQAsJo65jMp5UKfFvA8VQ0v0udGjtW2I+8PYM8AAAAA9AdKh9LHihYAVmWFBU5xo8I9J2MAAAAA4GRAogWA1YHmFqe4Qx1N/dwTAAAAAMhslA4BsNrywT59dKxJlQWF3d7OOWGMGlqa9bsjuwehdwAAAAD8RulQ+ljRAsAqYYzuev3F5L8//Zwk3fX6i0ooO974AAAAAKC/kGgB4GTNB+/pxhefU0NLc8r2hpZm3fjic1rzwXuD1DMAAAAAyBzZXToUDBx/9MCE7C/Piyfc9hWL2WPicXtMJGoNcVoTEAy6RA2sgEPeznGpl5ewHxfj2ffnOQyTcTluDkwk4hTntbXbY1rtMcH2fHtMJGTfV8L9lsxrPnhPa/f8Xv+nolrlw4Zrf+sx/c/HHyZXteTn2M/vkSH7972MCLZaY6LG7e2rxYSd4mwSxn6+BTzH9xMHAfnXlh9cxzvu0y2+XcbbhesxiTvsr129X08dPvUZAAaT102JMICTV7aU6mSa7E60ABhwCWP0esPewe4GAAAAAGQkPn4DAAAAAADwCStaAAAAAABACu46lD5WtAAAAAAAAPiERAsAAAAAAIBPKB0CAAAAAAApKB1KHytaAAAAAAAAfEKiBQAAAAAAwCdZXTpkAgGZQM+5Iq+X55Jygk778nLsQ2XiCXtMLGbfl0OMM8+nXJpTO/bXr6DbeDtxWTYWd2jH5bUZh2Mbd9mZlOjosMYEWtqsMcGmYdaYUEvYGpPT5naOeBF7XEs01xpzLJ5njYka+/UW9BzON0cJM3A5Zz/77dJW3KfX5txvh/1FjT/vAwGHPgXltrzU5fUlLJ9NJBz3BQAAkA0oHUofK1oAAAAAAAB8QqIFAAAAAADAJ1ldOgQAAAAAAPxH6VD6WNECAAAAAADgExItAAAAAAAAPqF0CAAAAAAApKB0KH2saAEAAAAAAPAJiRYAAAAAAACfZHfpUE5ACvaSK0oE7W3E4o77chiqeMIa4sXt+zMu7QQdl0x5LjEO+baAfX9eb8eiU8Kt39mxICw9Jhqzx7S0WGMCzXnWmNyj+faYRofrRFJOk/34HmousMbsGVFijRkdOmqNqQw1WmMkKehwNgU9+3UZ9OzXpZ8SDnnwhPEnVx6Q/bW5xEhSwKdxiju8ebkdW8d+O76+/m4DAAAgU1A6lD5WtAAAAAAAAPiERAsAAAAAAIBPsrt0CAAAAAAA+I7SofSxogUAAAAAAMAnJFoAAAAAAAB8QukQAAAAAABIQelQ+ljRAgAAAAAA4BMSLQAAAAAAAD6hdAgAAAAAAKSgdCh9WZ1oMZ4n43k9B+Q4LNjJCTrty4vH7TFB+/5M0GF/sZi9nUjU3o4kL8fhRHTot3ob506hXHtMwj6OkuSwNymRsIYYz/7avIBDOwmHMTL2dlzjTNThHGg6Zo0JHcq3xuSXhKwxktR+yP52cWykfX/vFZZZY8rDzdaYwmC7NUaSCgId1piIsV+XcYeYXM9+fseNfwsJ4w5Xikufgp7juevA5fU57c+vdgAAAIABRukQAAAAAACAT7J6RQsAAAAAAPAfpUPpY0ULAAAAAACAT1jRAgAYIAGV5p2l3JxytccO6GD7Nkl8zwoAAACGFhItAIB+N7pgpiaXflP5OZXJba2xBu04eK8+anlpEHsGAACA7lA6lD5KhwAA/Wp0wUz9n4r7lBcsT9meHyzX2RX3qqrgwkHqGQAAAOA/Ei0AgH4U0OTSb0qSvE/dbr3z58mjviGmIwAAAAwVlA4BAPpNad5ZKeVCn+Z5AQ0LVao07/M62L51AHsGAACA3lA6lL6sTrR4xsjrbaA9z95ITtBpXyZhHyov7vCljrGYQ4xDh+JxhyDJ5TT0jMMnyUGHcQo6jLfcxlsBh9fn0ieXCzFhf/1ewH5sjUM7rozD8TVtbdaYwJEma0ze/nynPg0rto93tMge01BUZI15b1iZNaYiZH9tkjQm96A1Jtezj3fc4TpxiXEVl8v15NO+HPod9NL70tpwTqlTXF5O6jF32V/Axy/STff1+d0GAABDhcsfxJ7L32tAFmKtNgCg33TE7IkuSWqPHejnngAAAAADI6tXtAAAMtvB9jfUFmtQXrC8y3e0SJIxCbXF9v/pVs8AAADIFJQOpY8VLQCAfpTQjoM/knQ8qfJJnT/vOHSv5GMZEAAAADCYSLQAAPpVfcuL+p+Pb1N7fH/K9rbYfv33x9/QRy0vDVLPAAAAAP9ROgQA6Hf1LS+qvmWDSvPOUm5OudpjB/5ULsRKFgAAgExE6VD6SLQAAAZIQgfbtyjBYkoAAAAMYfy2CwAAAAAA4BNWtAAAAAAAgBSUDqUvuxMtsYRkeqnvd1mv43lu+woG7TEh+3B68ZC9nbj9OwtMPG5vR5KiUXuMl2uPcXj5culTN7d3TTfOczkmDheikctY2vflObUjmYQ/bw4ubzKmpdUak3OgyWl/BYX2czdSaD+XmgrzrDF/GFZqjanMb7bGSFJx0D4Go3KOObVlE5f9/SSogZ0c4sbhmnN5G8zAOc2lBCnAd8AAADAoPNe/s4AhiNIhAAAAAAAAn2T3ihYAAAAAAOA7SofSx4oWAAAAAAAAn5BoAQAAAAAA8EmfEi2LFy/WX/7lX6qwsFDl5eW67LLL9M4776TEHDt2TPPnz1d1dbXy8/M1YcIELV26NCWmo6NDN998s0pLS1VQUKBLL71UH3744Ym/GgAAcEKY6wEAgPTn0qFMe2SDPiVaXnnlFd100016/fXXtW7dOsViMc2ZM0ctLS3JmIULF2rNmjV6+umntWvXLi1cuFA333yznn/++WTMggULtHLlSq1YsUKvvvqqjh07pksuuURx1zvpAACAfsFcDwAAcGL69GW4a9asSfn5iSeeUHl5ubZu3aq/+qu/kiRt2rRJc+fO1Re+8AVJ0vXXX69HH31UW7ZsUV1dnRobG/XYY4/p5z//uWbNmiVJevrpp1VTU6P169ertrbWh5cFAADSwVwPAABwYk7oO1oaGxslSSUlJclt5513nlatWqV9+/bJGKMNGzbo3XffTf5StXXrVkWjUc2ZMyf5f6qqqjRp0iS99tpr3e6no6NDTU1NKQ8AAND/Bmqul5jvAQDININdJpSNZUPSCdze2RijW265Reedd54mTZqU3L5kyRJ99atfVXV1tXJychQIBLRs2TKdd955kqSGhgbl5uZq5MiRKe1VVFSooaGh230tXrxYd911V5ftXjQmLxHsuZNBhzyS59ljJClgjzMO+/NyHIY8x76s2nNcem0iEXtMLGbfn8PrV7CXY5FsyB4iSXIZJ5Nw2J99h55DjNNF7bnlLT2HYXJ6bQl7n1yOv3fU7Q+ZcEPYGlNQWGyNiRbaB6Bp+HBrzB8KS60xkjQ2/4A15jOhI/aGHM7ddhOyxsRNdn4HeWKAvzs9IPs14NIn5347XOJBz+G6HGIGcq6Xep7vAQAAsknavznPnz9fO3bs0PLly1O2L1myRK+//rpWrVqlrVu36v7779e8efO0fv36XtszxvT4B++iRYvU2NiYfOzduzfdbgMAAEcDOddLzPcAAGBoSGtFy80336xVq1Zp48aNqq6uTm5va2vT7bffrpUrV+riiy+WJE2ePFnbt2/Xfffdp1mzZqmyslKRSERHjhxJ+aRr//79mj59erf7C4fDCoftn6YDAAB/DPRcLzHfAwCQSTKxXCfT+tOTPq1oMcZo/vz5evbZZ/XSSy9p7NixKc9Ho1FFo1EFAqnNBoNBJRLHl1xPmTJFoVBI69atSz5fX1+vN998s9dfvgAAQP9jrgcAADgxfVrRctNNN+kXv/iFnn/+eRUWFibrrIuLi5Wfn6+ioiLNmDFD3/jGN5Sfn68xY8bolVde0VNPPaUHHnggGXvdddfp1ltv1ahRo1RSUqLbbrtNZ555ZvLOBAAAYHAw1wMAAJyYPiVali5dKknJ2zl2euKJJ3TNNddIklasWKFFixbpK1/5ig4fPqwxY8bo+9//vm644YZk/IMPPqicnBxdfvnlamtr08yZM/Xkk08q6PJlqgAAoN8w1wMAAInSoRPhmWzp6Sc0NTWpuLhYM8cvVE6wl1puP+86lHC420TU4e49HVFrjGnvsO+rwyFGbnedUcDhbkm59rupON11KODjL9hRhzsqORwTOdzByekycbgLkDOnOyo5HDeXO2ENL3DpkUxVmTWmebz9rkNHx9vPgZbP2q+T006tt8ZI0qyKXdaYM/M+dGrLxs+7DsWdb9HVu6DD7XQy8W46ft11yM/92captTmu//u/d6mxsVFFRUV+de2k1jnfAwCQSYb6XN85/37+85/PuA9I4vG4tm3b1udj8Mgjj+jee+9VfX29Jk6cqIceekjnn39+t7HPPvusli5dqu3bt6ujo0MTJ07UnXfeqdraWuf9Zed9RgEAAAAAACyeeeYZLViwQN/5zne0bds2nX/++brooou0Z8+ebuM3btyo2bNna/Xq1dq6dasuuOACfelLX9K2bduc95nWXYcAAAAAAMDQNVRKhx544AFdd911+od/+AdJ0kMPPaQXXnhBS5cu1eLFi7vEP/TQQyk/33PPPXr++ef161//Wp///Oed9pnViRYvFpOX6Hkpk0k4LNhxKJtx75DDUn+XUo4c+/IsE3NcwuWy1MvhZHUpwfEcSlnkWqLg0laO/fT1HMp5XC5Vz+WCdnxtTm8O9momp/Ii49JOa5tDkBQ41GSNGVZgvy1rZPgwa0y00H5s944cYY2RpL3FJdaY08P2MqQRwdZP/BTQiLypyg2WKxLfr6PtWyQlFE+4lPs4vu06lBj5VV7kJ9fSKCufXpp7qZY9LmEpL4qazDseAIC+cfk9zXP96gEAgy4SiWjr1q369re/nbJ9zpw5eu2115zaSCQSam5uVkmJ/e+KTlmdaAGAgVY6bI7GlXxXeTmjk9vaY/X6/eF/UfOxjYPYMwAAAODk0NSU+iFwOBxWONz1Q9+DBw8qHo+roqIiZXtFRUXyzoo2999/v1paWnT55Zc794/vaAEAR6XD5mhi2Y8VDqa+UYeDFZpY9mNVDps5SD0DAAAA/NVZOpRpD0mqqalRcXFx8tFdCdAnfXolmjHGaXXa8uXLdeedd+qZZ55ReXm589ixogUAnAQ0ruS7krqWyXleQMYkNLH0W2rYs0FyuIMNAAAAgPTs3bs35a5D3a1mkaTS0lIFg8Euq1f279/fZZXLpz3zzDO67rrr9O///u+aNWtWn/rHihYAcDAib6ryckb3+F1EnhfQsJzRGpV31gD3DAAAADi5FBUVpTx6SrTk5uZqypQpWrduXcr2devWafr06T22v3z5cl1zzTX6xS9+oYsvvrjP/WNFCwA4yA26LRUMB8v6uScAAABA/xsqdx265ZZbdNVVV2nq1KmaNm2afvrTn2rPnj264YYbJEmLFi3Svn379NRTT0k6nmS5+uqr9fDDD+ucc85JrobJz89XcXGx0z5JtACAg0h8v1NcR/xAP/cEAAAAgKsrrrhChw4d0t133636+npNmjRJq1ev1pgxYyRJ9fX12rNnTzL+0UcfVSwW00033aSbbropuX3u3Ll68sknnfZJogUAHBxt36L2WL3CwYpuy4eMSagt/rEOtb8xCL0DAAAA0JN58+Zp3rx53T736eTJyy+/fML74ztaAMBJQr8//C+SjidVPqnz57cO/lB8ES4AAACGgsG+u1Bvdx3KdCRaAMDRwda1euvAzeqIf5yyvSPeoLcO3KyG1hcHqWcAAAAAMkV2lw5FY1Ig2OPTXsIhj+Rw72xJMkGfclIu+wv2/JqSckNuuzP2T9dNJGpvKB63txOLOfTHcRxdxqCXY58Usp/iXsB+TEzcYZWC47nkOWRhTcIhU+twbF1iTNR+3CQp0dRsjQl9nGuNKSiyn7uRYns7jSXDrDGStGtkpTXm1Hz796qcmbdXklTf8qLqWzZoZN5UhYNl6ogf0JH2LZISCjnkruOO+W2XuKD8yehHjMO15MilT0Fv4Fb9xOV2XTqxvH/Fs+QTFgBAzzzH3+cAoDfZnWgBgEGR0JH2/xnsTgAAAAD9JhNLdTKtPz2hdAgAAAAAAMAnJFoAAAAAAAB8QukQAAAAAABIQelQ+ljRAgAAAAAA4BMSLQAAAAAAAD6hdAgAAAAAAKSgdCh9rGgBAAAAAADwSXavaInGpEAvuaJE0N6G5zntyks45KQc2/KjHa+31/0JJugwBsGEPSbhEBON2vujkL0dSZ7nMt4OfQo4vH4HXsKeOfU1txpwOJfiPu3LOIyjJBOJ2GMam6wxeQ351phhI+xvTR0j3d6+/lg8yhqzJf8Ua0yeZz+/a3IPuXTJSVw+vZ9kqYDczkubXMdhdDm+Y3KO9Pr8sVx/+gwAAIDslt2JFgAAAAAA4DtKh9JH6RAAAAAAAIBPSLQAAAAAAAD4hNIhAAAAAACQgtKh9LGiBQAAAAAAwCckWgAAAAAAAHxC6RAAAAAAAEhB6VD6sjLR0jm4sUSk90DPYcGO57nt1M+2bBIJh5i4U1PGNkaSjIk6NOQQ48LxwvCMyxi4HBOHGJexNDF7iHE7Ji5jYFxev+v+/OLQp4DL+RbvsMbEou3WmHi724K8RKu9rWiLvd9tOfZzoDVkPyZxx2ug3WTngsOg7K8v6DmcS3K4BhwkHPojSQnPfuyO5fTep5Zjx5/Pll8AsgFjCQDIRMxPsMnKREtzc7Mk6eUDPxvknqDP7H/zIlPZ8wySPYciHXaI2ekQ46M/OsT8v/7uBIaM5uZmFRcXD3Y3hoTO+R4AgEzCXA+brEy0VFVVae/evSosLJTn1yqSIaipqUk1NTXau3evioqKBrs7Qx7jPbAY74HFeNsZY9Tc3KyqqqrB7sqQwXxvx7U5sBjvgcV4DyzG2+5km+spHUpfViZaAoGAqqurB7sbWaOoqIg3ywHEeA8sxntgMd6949MtfzHfu+PaHFiM98BivAcW49075nq4yM4vAQAAAAAAAMhAWbmiBQAAAAAA9B9Kh9LHipYhLBwO64477lA4HB7srpwUGO+BxXgPLMYbyExcmwOL8R5YjPfAYrwB/3gmW1JCAAAAAACgXzU1Nam4uFjjx49XMBgc7O6kiMfjeu+999TY2JjR3yVE6RAAAAAAAEhB6VD6KB0CAAAAAADwCYkWAAAAAAAAn1A6BAAAAAAAUlA6lD5WtAySpUuXavLkySoqKlJRUZGmTZum3/zmN8nnjx07pvnz56u6ulr5+fmaMGGCli5d2m1bxhhddNFF8jxPzz33XHL7yy+/LM/zun1s3rw5pY0nn3xSkydPVl5eniorKzV//vyU53fu3KkZM2YoPz9fn/nMZ3T33XdnzUkuZdZ4b968WTNnztSIESM0cuRIzZkzR9u3b0/ZB+P9Zz2NtyS9++67qqurU2lpqYqKinTuuedqw4YNKTF79uzRl770JRUUFKi0tFRf//rXFYlEUmIY7z87kfH+3e9+pyuvvFI1NTXJ/Tz88MNd9pHt4w30RSbNP9LQnu8zaayZ65nr/ZYp481cD7hhRcsgqa6u1g9+8AONGzdOkvSzn/1MdXV12rZtmyZOnKiFCxdqw4YNevrpp3XKKado7dq1mjdvnqqqqlRXV5fS1kMPPSTP87rsY/r06aqvr0/Z9r3vfU/r16/X1KlTk9seeOAB3X///br33nt19tlnq729Xe+//37y+aamJs2ePVsXXHCBNm/erHfffVfXXHONCgoKdOutt/o5LP0mU8a7ublZtbW1qqur0yOPPKJYLKY77rhDtbW1+vDDDxUKhRhvx/GWpIsvvlinnXaaXnrpJeXn5+uhhx7SJZdcoj/84Q+qrKxUPB7XxRdfrLKyMr366qs6dOiQ5s6dK2OMfvzjH0vi/PZzvLdu3aqysjI9/fTTqqmp0Wuvvabrr79ewWAw+cfcUBhvoC8yZf6Rhv58nyljzVzPXN8fMmW8mesBRwYZY+TIkWbZsmXGGGMmTpxo7r777pTnzzrrLPPd7343Zdv27dtNdXW1qa+vN5LMypUre2w/EomY8vLylHYPHz5s8vPzzfr163v8f4888ogpLi427e3tyW2LFy82VVVVJpFI9OUlZpTBGO/NmzcbSWbPnj3JbTt27DCSzO9//3tjDOP9Sb2N94EDB4wks3HjxuS2pqYmIyl5Pq9evdoEAgGzb9++ZMzy5ctNOBw2jY2NxhjG+5NOdLy7M2/ePHPBBRckfx6q4w30BfP9wGGuH1jM9QOLuR79pbGx0Ugyp556qhk/fnxGPU499VQjKXl9ZypKhzJAPB7XihUr1NLSomnTpkmSzjvvPK1atUr79u2TMUYbNmzQu+++q9ra2uT/a21t1ZVXXqmf/OQnqqystO5n1apVOnjwoK655prktnXr1imRSGjfvn2aMGGCqqurdfnll2vv3r3JmE2bNmnGjBkKh8PJbbW1tfroo4/0xz/+8cQHYIAN5niffvrpKi0t1WOPPaZIJKK2tjY99thjmjhxosaMGSOJ8e5kG+9Ro0ZpwoQJeuqpp9TS0qJYLKZHH31UFRUVmjJliqTjYzlp0iRVVVUl/19tba06Ojq0devWZAzj7c94d6exsVElJSXJn4faeAN9wXw/cJjrBxZz/cBirgcyH6VDg2jnzp2aNm2a2tvbNXz4cK1cuVJnnHGGJGnJkiX66le/qurqauXk5CgQCGjZsmU677zzkv9/4cKFmj59epflgD157LHHVFtbq5qamuS2999/X4lEQvfcc48efvhhFRcX67vf/a5mz56tHTt2KDc3Vw0NDTrllFNS2qqoqJAkNTQ0aOzYsSc4EgMjE8a7sLBQL7/8surq6vTP//zPkqTTTjtNL7zwgnJyjl+OjPdxtvH2PE/r1q1TXV2dCgsLFQg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" ] @@ -106,7 +153,7 @@ } ], "source": [ - "plot_binary_raster_from_template_raster(SMALL_RASTER_PATH)" + "plot_binary_raster_from_template_raster(RASTER_PATH)" ] } ], diff --git a/tests/data/remote/interpolating/interpolation_test_data_small.gpkg b/tests/data/remote/interpolating/interpolation_test_data_small.gpkg index dbc9cf3c443cd747058a8746fe9802ca466dce57..7b741f5852ac8ee29969ce6ec021aed04f080d6b 100644 GIT binary patch delta 51 zcmZo@U~6b#lL-#=$t+1#NXswEO)OC`W)NUtWMptqP+(wSWSuDE%*x83m-ezTWoruK GoO%FX$qj%2 delta 51 zcmZo@U~6b#lL-#=$t+1#NXswEO)OC`W)NUtVq$PmP+(wSWSJ=A%*w)`7w*-VvNeTq GPCWoxU<}d# diff --git a/tests/training_data_tools/points_to_raster_test.py b/tests/training_data_tools/points_to_raster_test.py index c53e5c3a..73716248 100644 --- a/tests/training_data_tools/points_to_raster_test.py +++ b/tests/training_data_tools/points_to_raster_test.py @@ -1,5 +1,5 @@ +from pathlib import Path import geopandas as gpd -import pandas as pd import pytest import rasterio @@ -7,22 +7,17 @@ from eis_toolkit.training_data_tools.points_to_raster import points_to_raster from tests.raster_processing.clip_test import raster_path as SMALL_RASTER_PATH -# Generating data -positives = pd.DataFrame( - { - "x": [384824, 384803, 384807, 384793, 384773, 384785], - "y": [6671284, 6671295, 6671277, 6671293, 6671343, 6671357], - } -) -positives = gpd.GeoDataFrame(positives, geometry=gpd.points_from_xy(positives.x, positives.y, crs="EPSG:3067")) +test_dir = Path(__file__).parent.parent +PATH_LABELS_GPKG = test_dir.joinpath("data/remote/interpolating/interpolation_test_data_small.gpkg") +positives = gpd.read_file(PATH_LABELS_GPKG) @pytest.mark.parametrize("positives", [positives]) # Case where CRS matches def test_points_to_raster(positives): """Test that points_to_raster function works as expected.""" with rasterio.open(SMALL_RASTER_PATH) as temp_raster: - outarray, outmeta = points_to_raster(positives, temp_raster, nodata_value=-999) + outarray, outmeta = points_to_raster(positives=positives, attribute='value', template_raster=temp_raster, nodata_value=-999) assert outarray.shape == ( temp_raster.height, @@ -36,4 +31,4 @@ def test_non_matching_crs_error(positives): with pytest.raises(NonMatchingCrsException): with rasterio.open(SMALL_RASTER_PATH) as temp_raster: - outarray, outmeta = points_to_raster(positives=positives, template_raster=temp_raster, nodata_value=-999) + outarray, outmeta = points_to_raster(positives=positives, attribute='value', template_raster=temp_raster, nodata_value=-999) From e6a1565a4712133bbaaa5a6783c46d969550a385 Mon Sep 17 00:00:00 2001 From: Omkar Date: Fri, 10 Jan 2025 14:14:48 +0100 Subject: [PATCH 04/15] Made cosmetic changes --- eis_toolkit/training_data_tools/points_to_raster.py | 8 +++----- tests/training_data_tools/points_to_raster_test.py | 10 ++++++++-- 2 files changed, 11 insertions(+), 7 deletions(-) diff --git a/eis_toolkit/training_data_tools/points_to_raster.py b/eis_toolkit/training_data_tools/points_to_raster.py index 2e01bc9a..0a45dd35 100644 --- a/eis_toolkit/training_data_tools/points_to_raster.py +++ b/eis_toolkit/training_data_tools/points_to_raster.py @@ -8,7 +8,7 @@ from beartype.typing import Optional, Tuple from rasterio.io import MemoryFile -from eis_toolkit.exceptions import NonMatchingCrsException,EmptyDataFrameException +from eis_toolkit.exceptions import EmptyDataFrameException, NonMatchingCrsException from eis_toolkit.raster_processing.create_constant_raster import create_constant_raster from eis_toolkit.utilities.checks.raster import check_matching_crs @@ -46,9 +46,7 @@ def _point_to_raster(raster_array, raster_meta, positives, attribute): if not check_matching_crs( objects=[memraster, positives], ): - raise NonMatchingCrsException( - "The raster and geodataframe are not in the same CRS." - ) + raise NonMatchingCrsException("The raster and geodataframe are not in the same CRS.") # Select only positives that are within raster bounds positives = positives.cx[ @@ -116,7 +114,7 @@ def points_to_raster( if positives.empty: raise EmptyDataFrameException("Expected geodataframe to contain geometries.") - + base_value = 0 raster_array, raster_meta = create_constant_raster( base_value, diff --git a/tests/training_data_tools/points_to_raster_test.py b/tests/training_data_tools/points_to_raster_test.py index 73716248..b21c5868 100644 --- a/tests/training_data_tools/points_to_raster_test.py +++ b/tests/training_data_tools/points_to_raster_test.py @@ -1,4 +1,5 @@ from pathlib import Path + import geopandas as gpd import pytest import rasterio @@ -12,12 +13,15 @@ positives = gpd.read_file(PATH_LABELS_GPKG) + @pytest.mark.parametrize("positives", [positives]) # Case where CRS matches def test_points_to_raster(positives): """Test that points_to_raster function works as expected.""" with rasterio.open(SMALL_RASTER_PATH) as temp_raster: - outarray, outmeta = points_to_raster(positives=positives, attribute='value', template_raster=temp_raster, nodata_value=-999) + outarray, outmeta = points_to_raster( + positives=positives, attribute="value", template_raster=temp_raster, nodata_value=-999 + ) assert outarray.shape == ( temp_raster.height, @@ -31,4 +35,6 @@ def test_non_matching_crs_error(positives): with pytest.raises(NonMatchingCrsException): with rasterio.open(SMALL_RASTER_PATH) as temp_raster: - outarray, outmeta = points_to_raster(positives=positives, attribute='value', template_raster=temp_raster, nodata_value=-999) + outarray, outmeta = points_to_raster( + positives=positives, attribute="value", template_raster=temp_raster, nodata_value=-999 + ) From f802a122c5e394055829c097be633f58dd2a7f55 Mon Sep 17 00:00:00 2001 From: Omkar Date: Mon, 13 Jan 2025 10:30:15 +0100 Subject: [PATCH 05/15] Renamed the plots --- notebooks/testing_points_to_raster.ipynb | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/notebooks/testing_points_to_raster.ipynb b/notebooks/testing_points_to_raster.ipynb index 0173d35d..25ae24f7 100644 --- a/notebooks/testing_points_to_raster.ipynb +++ b/notebooks/testing_points_to_raster.ipynb @@ -131,7 +131,7 @@ "\n", " plt.colorbar(matplotlib.cm.ScalarMappable(norm=norm,cmap=cmap),ax=axes)\n", " plot.show(outarray, transform=outmeta['transform'], with_bounds=True, ax=axes[1], cmap='gray')\n", - " axes[1].set_title(textwrap.fill('Converted binary raster from positives and template raster.', width=30), fontsize=15)\n", + " axes[1].set_title(textwrap.fill('True positives converted to raster.', width=30), fontsize=15)\n", "\n", " " ] @@ -143,7 +143,7 @@ "outputs": [ { "data": { - "image/png": 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" ] From 4267db66d3bd0eda11fe0bac74105806f2aaa082 Mon Sep 17 00:00:00 2001 From: Omkar Date: Fri, 24 Jan 2025 16:55:31 +0100 Subject: [PATCH 06/15] Added the mark_negatives on the raster --- .../training_data_tools/mark_negatives.py | 54 ++++++ .../training_data_tools/points_to_raster.py | 87 ++++++++- notebooks/testing_points_to_raster.ipynb | 180 ++++++++++++++++-- .../mark_negatives_test.py | 48 +++++ 4 files changed, 350 insertions(+), 19 deletions(-) create mode 100644 eis_toolkit/training_data_tools/mark_negatives.py create mode 100644 tests/training_data_tools/mark_negatives_test.py diff --git a/eis_toolkit/training_data_tools/mark_negatives.py b/eis_toolkit/training_data_tools/mark_negatives.py new file mode 100644 index 00000000..5f6318b1 --- /dev/null +++ b/eis_toolkit/training_data_tools/mark_negatives.py @@ -0,0 +1,54 @@ +import geopandas +import numpy as np +import rasterio +from beartype import beartype +from beartype.typing import Tuple, Union +from rasterio import profiles + +from eis_toolkit.exceptions import EmptyDataFrameException, NonMatchingCrsException + + +def _mark_negatives(negatives, raster_array, raster_meta): + + out_array = np.copy(raster_array) + + n_row, n_cols = rasterio.transform.rowcol(raster_meta.get("transform"), negatives.geometry.x, negatives.geometry.y) + + out_array[np.ix_(n_row, n_cols)] = np.where( + raster_array[np.ix_(n_row, n_cols)] == 0, -1, raster_array[np.ix_(n_row, n_cols)] + ) + + return out_array + + +@beartype +def mark_negatives( + negatives: geopandas.GeoDataFrame, + raster_array: np.ndarray, + raster_meta: Union[profiles.Profile, dict], +) -> Tuple[np.ndarray, dict]: + """Convert a point data set into a binary raster. + + Args: + negatives: The geodataframe points set to be marked into raster. + raster_array: The raster data with positives already marked. + raster_meta: The raster metadata with crs. + + Returns: + A tuple containing the output raster as a NumPy array and updated metadata. + + Raises: + EmptyDataFrameException: The input GeoDataFrame is empty. + InvalidParameterValueException: Provided invalid input parameter. + NonMatchingCrsException: The raster and geodataframe are not in the same CRS. + """ + + if negatives.empty: + raise EmptyDataFrameException("Expected geodataframe to contain geometries.") + + if raster_meta.get("crs").to_epsg() != negatives.crs.to_epsg(): + raise NonMatchingCrsException("The metadata provided and geodataframe are not in the same CRS.") + + out_array = _mark_negatives(negatives, raster_array, raster_meta) + + return out_array, raster_meta diff --git a/eis_toolkit/training_data_tools/points_to_raster.py b/eis_toolkit/training_data_tools/points_to_raster.py index 0a45dd35..1e977cd9 100644 --- a/eis_toolkit/training_data_tools/points_to_raster.py +++ b/eis_toolkit/training_data_tools/points_to_raster.py @@ -7,12 +7,79 @@ from beartype import beartype from beartype.typing import Optional, Tuple from rasterio.io import MemoryFile +from scipy.ndimage import binary_dilation from eis_toolkit.exceptions import EmptyDataFrameException, NonMatchingCrsException from eis_toolkit.raster_processing.create_constant_raster import create_constant_raster from eis_toolkit.utilities.checks.raster import check_matching_crs +def _get_kernel_size(radius: int) -> tuple[int, int]: + size = 1 + (radius * 2) + return size, radius + + +def _create_grid(size: int, radius) -> tuple[np.ndarray, np.ndarray]: + y = np.arange(-radius, size - radius) + x = np.arange(-radius, size - radius) + y, x = np.meshgrid(y, x) + return x, y + + +def _basic_kernel(radius: int, value: Number) -> np.ndarray: + size, _ = _get_kernel_size(radius) + + x, y = _create_grid(size, radius) + mask = x**2 + y**2 <= radius**2 + kernel = np.zeros((size, size)) + kernel[mask] = value + + return kernel + + +def _create_local_buffer( + array: np.ndarray, + radius: int, + target_value: Number, +) -> np.ndarray: + kernel = _basic_kernel(radius, target_value) + array = np.squeeze(array) if array.ndim >= 3 else array + + return binary_dilation(array == target_value, structure=kernel) + + +def _create_buffer_around_labels( + array: np.ndarray, + radius: int = 1, + target_value: int = 1, + buffer_value: Optional[str] = None, + overwrite_nodata: bool = False, +) -> np.ndarray: + out_array = np.copy(array) + out_array = _create_local_buffer( + array=out_array, + radius=radius, + target_value=target_value, + ) + + if buffer_value == "avg": + out_array = np.where(out_array, target_value, 0) + out_array = np.where((array != 0) & (out_array != 0), (array + out_array) * 0.5, (array + out_array)) + elif buffer_value == "max": + out_array = np.where(out_array, target_value, 0) + out_array = np.where(array != 0, np.maximum(array, out_array), out_array) + elif buffer_value == "min": + out_array = np.where(out_array, target_value, 0) + out_array = np.where((array != 0) & (out_array != 0), np.minimum(array, out_array), (array + out_array)) + else: + out_array = np.where(out_array, target_value, array) + + if overwrite_nodata is False: + out_array = np.where(np.isnan(array), np.nan, out_array) + + return out_array + + @beartype def save_raster(path: str, array: np.ndarray, meta: dict = None, overwrite: bool = False): """Save the given raster NumPy array and metadata in a raster format at the provided path. @@ -36,7 +103,7 @@ def save_raster(path: str, array: np.ndarray, meta: dict = None, overwrite: bool dst.close() -def _point_to_raster(raster_array, raster_meta, positives, attribute): +def _point_to_raster(raster_array, raster_meta, positives, attribute, radius, buffer_value): with MemoryFile() as memfile: raster_meta["driver"] = "GTiff" with memfile.open(**raster_meta) as datawriter: @@ -54,20 +121,30 @@ def _point_to_raster(raster_array, raster_meta, positives, attribute): memraster.bounds.bottom : memraster.bounds.top, # noqa: E203 ] - values = positives[attribute] + if attribute is not None: + values = positives[attribute] + else: + values = [1] positives_rows, positives_cols = rasterio.transform.rowcol( memraster.transform, positives.geometry.x, positives.geometry.y ) raster_array[positives_rows, positives_cols] = values + unique_values = list(set(values)) + + if radius is not None: + for target_value in unique_values: + raster_array = _create_buffer_around_labels(raster_array, radius, target_value, buffer_value) + return raster_array, raster_meta @beartype def points_to_raster( positives: geopandas.GeoDataFrame, - attribute: str, + attribute: Optional[str] = None, + radius: Optional[int] = None, template_raster: Optional[rasterio.io.DatasetReader] = None, coord_west: Optional[Number] = None, coord_north: Optional[Number] = None, @@ -78,6 +155,7 @@ def points_to_raster( raster_width: Optional[int] = None, raster_height: Optional[int] = None, nodata_value: Optional[Number] = None, + buffer_value: Optional[str] = None, ) -> Tuple[np.ndarray, dict]: """Convert a point data set into a binary raster. @@ -108,7 +186,6 @@ def points_to_raster( Raises: EmptyDataFrameException: The input GeoDataFrame is empty. - InvalidParameterValueException: Provide invalid input parameter. NonMatchingCrsException: The raster and geodataframe are not in the same CRS. """ @@ -130,6 +207,6 @@ def points_to_raster( nodata_value, ) - raster_array, raster_meta = _point_to_raster(raster_array, raster_meta, positives, attribute) + raster_array, raster_meta = _point_to_raster(raster_array, raster_meta, positives, attribute, radius, buffer_value) return raster_array, raster_meta diff --git a/notebooks/testing_points_to_raster.ipynb b/notebooks/testing_points_to_raster.ipynb index 25ae24f7..1332b962 100644 --- a/notebooks/testing_points_to_raster.ipynb +++ b/notebooks/testing_points_to_raster.ipynb @@ -18,20 +18,20 @@ "outputs": [], "source": [ "import numpy as np\n", - "import pandas as pd\n", "import geopandas as gpd\n", "import rasterio\n", "from rasterio import plot\n", "\n", - "import matplotlib\n", "import matplotlib.pyplot as plt\n", "import textwrap\n", "\n", "from tests.raster_processing.clip_test import raster_path as SMALL_RASTER_PATH\n", "from eis_toolkit.training_data_tools.points_to_raster import points_to_raster\n", + "from eis_toolkit.training_data_tools.mark_negatives import mark_negatives\n", "\n", "PATH_LABELS_GPKG = \"../tests/data/remote/interpolating/interpolation_test_data_small.gpkg\"\n", - "RASTER_PATH = \"../tests/data/remote/small_raster.tif\"" + "RASTER_PATH = \"../tests/data/remote/small_raster.tif\"\n", + "NEGATIVE_DATA_POINTS = \"../tests/data/remote/point.gpkg\"" ] }, { @@ -109,43 +109,195 @@ "outputs": [], "source": [ "def plot_binary_raster_from_template_raster(template_raster_path):\n", + "\n", + " attribute = 'value'\n", + " radius = 3\n", " \n", " with rasterio.open(template_raster_path) as temp_raster:\n", " \n", " outarray,outmeta = points_to_raster(positives=gdf,\n", - " attribute='value',\n", " template_raster=temp_raster,\n", " nodata_value=-999)\n", + " \n", + " outarray2,outmeta2 = points_to_raster(positives=gdf,\n", + " attribute=attribute,\n", + " template_raster=temp_raster,\n", + " nodata_value=-999)\n", + " \n", + " outarray3,outmeta3 = points_to_raster(positives=gdf,\n", + " template_raster=temp_raster,\n", + " radius=radius,\n", + " nodata_value=-999)\n", + " \n", + " outarray4,outmeta4 = points_to_raster(positives=gdf,\n", + " template_raster=temp_raster,\n", + " attribute=attribute,\n", + " radius=radius,\n", + " nodata_value=-999)\n", + " \n", + " outarray5,outmeta5 = points_to_raster(positives=gdf,\n", + " template_raster=temp_raster,\n", + " attribute=attribute,\n", + " radius=radius,\n", + " nodata_value=-999,\n", + " buffer_value='avg')\n", + " \n", + " outarray6,outmeta6 = points_to_raster(positives=gdf,\n", + " template_raster=temp_raster,\n", + " attribute=attribute,\n", + " radius=radius,\n", + " nodata_value=-999,\n", + " buffer_value='min')\n", + " \n", + " outarray7,outmeta7 = points_to_raster(positives=gdf,\n", + " template_raster=temp_raster,\n", + " attribute=attribute,\n", + " radius=radius,\n", + " nodata_value=-999,\n", + " buffer_value='max')\n", + "\n", + " extent = [temp_raster.bounds.left, temp_raster.bounds.right,\n", + " temp_raster.bounds.bottom, temp_raster.bounds.top]\n", "\n", - " fig,axes = plt.subplots(1,2,figsize=(15,10))\n", + " fig,axes = plt.subplots(3,3,figsize=(20,15))\n", " norm = plt.Normalize(vmax=np.nanmax(outarray), vmin=np.nanmin(outarray))\n", - " cmap = 'gray'\n", + " norm2 = plt.Normalize(vmax=np.nanmax(outarray2), vmin=np.nanmin(outarray2))\n", + "\n", + " plot.show(temp_raster, ax=axes[0][0])\n", + " axes[0][0].set_title('Template Raster with positives.', fontsize=15)\n", + " points = gdf.cx[\n", + " temp_raster.bounds.left : temp_raster.bounds.right, # noqa: E203\n", + " temp_raster.bounds.bottom : temp_raster.bounds.top, # noqa: E203\n", + " ]\n", + " points.plot(ax=axes[0][0], facecolor='w', edgecolor='w')\n", + "\n", + " im1 = axes[0][1].imshow(outarray, cmap='gray', norm=norm, extent=extent)\n", + " axes[0][1].set_title(textwrap.fill('True positives converted to raster.', width=30), fontsize=15)\n", + " fig.colorbar(im1, ax=axes[0][1], orientation='vertical')\n", + "\n", + " im2 = axes[0][2].imshow(outarray2, cmap='gray', norm=norm2, extent=extent)\n", + " axes[0][2].set_title(textwrap.fill('True positives converted to raster with attribute.', width=30), fontsize=15)\n", + " fig.colorbar(im2, ax=axes[0][2], orientation='vertical')\n", + "\n", + " im3 = axes[1][0].imshow(outarray3, cmap='gray', norm=norm, extent=extent)\n", + " axes[1][0].set_title(textwrap.fill('True positives converted to raster with radius.', width=30), fontsize=15)\n", + " fig.colorbar(im3, ax=axes[1][0], orientation='vertical')\n", + "\n", + " im4 = axes[1][1].imshow(outarray4, cmap='gray', norm=norm2, extent=extent)\n", + " axes[1][1].set_title(textwrap.fill('True positives converted to raster with attribute and radius.', width=30), fontsize=15)\n", + " fig.colorbar(im4, ax=axes[1][1], orientation='vertical')\n", + "\n", + " im5 = axes[1][2].imshow(outarray5, cmap='gray', norm=norm2, extent=extent)\n", + " axes[1][2].set_title(textwrap.fill('True positives converted to raster with attribute and radius and averaging buffer.', width=30), fontsize=15)\n", + " fig.colorbar(im5, ax=axes[1][2], orientation='vertical')\n", + " \n", + " im6 = axes[2][0].imshow(outarray6, cmap='gray', norm=norm2, extent=extent)\n", + " axes[2][0].set_title(textwrap.fill('True positives converted to raster with attribute and radius and min buffer.', width=30), fontsize=15)\n", + " fig.colorbar(im6, ax=axes[2][0], orientation='vertical')\n", + "\n", + " im7 = axes[2][1].imshow(outarray7, cmap='gray', norm=norm2, extent=extent)\n", + " axes[2][1].set_title(textwrap.fill('True positives converted to raster with attribute and radius and max buffer.', width=30), fontsize=15)\n", + " fig.colorbar(im7, ax=axes[2][1], orientation='vertical')\n", + "\n", + " axes[2][2].axis('off')\n", + "\n", + " plt.tight_layout()\n", + " plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plot_binary_raster_from_template_raster(SMALL_RASTER_PATH)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "negative_gdf = gpd.read_file(NEGATIVE_DATA_POINTS)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "def plot_negatives(template_raster_path):\n", + "\n", + " attribute = 'value'\n", + " radius = 3\n", + " \n", + " with rasterio.open(template_raster_path) as temp_raster:\n", + " \n", + " outarray,outmeta = points_to_raster(positives=gdf,\n", + " template_raster=temp_raster,\n", + " nodata_value=-999)\n", + " \n", + " outarray2,outmeta2 = mark_negatives(negatives=negative_gdf,\n", + " raster_array=outarray,\n", + " raster_meta=outmeta)\n", + " \n", + " extent = [temp_raster.bounds.left, temp_raster.bounds.right,\n", + " temp_raster.bounds.bottom, temp_raster.bounds.top]\n", + "\n", + " fig,axes = plt.subplots(1,3,figsize=(20,15))\n", + " norm = plt.Normalize(vmax=np.nanmax(outarray), vmin=np.nanmin(outarray))\n", + " norm2 = plt.Normalize(vmax=np.nanmax(outarray2), vmin=np.nanmin(outarray2))\n", "\n", " plot.show(temp_raster, ax=axes[0])\n", - " axes[0].set_title('Template Raster with positives.', fontsize=15)\n", + " axes[0].set_title('Template Raster with positives and negatives.', fontsize=15)\n", " points = gdf.cx[\n", " temp_raster.bounds.left : temp_raster.bounds.right, # noqa: E203\n", " temp_raster.bounds.bottom : temp_raster.bounds.top, # noqa: E203\n", " ]\n", " points.plot(ax=axes[0], facecolor='w', edgecolor='w')\n", "\n", - " plt.colorbar(matplotlib.cm.ScalarMappable(norm=norm,cmap=cmap),ax=axes)\n", - " plot.show(outarray, transform=outmeta['transform'], with_bounds=True, ax=axes[1], cmap='gray')\n", + " npoints = negative_gdf.cx[\n", + " temp_raster.bounds.left : temp_raster.bounds.right, # noqa: E203\n", + " temp_raster.bounds.bottom : temp_raster.bounds.top, # noqa: E203\n", + " ]\n", + " npoints.plot(ax=axes[0], facecolor='r', edgecolor='r')\n", + "\n", + " im1 = axes[1].imshow(outarray, cmap='gray', norm=norm, extent=extent)\n", " axes[1].set_title(textwrap.fill('True positives converted to raster.', width=30), fontsize=15)\n", + " fig.colorbar(im1, ax=axes[1], orientation='vertical')\n", "\n", - " " + " im2 = axes[2].imshow(outarray2, cmap='gray', norm=norm2, extent=extent)\n", + " axes[2].set_title(textwrap.fill('Negatives converted to raster with attribute.', width=30), fontsize=15)\n", + " fig.colorbar(im2, ax=axes[2], orientation='vertical')\n", + "\n", + " plt.tight_layout()\n", + " plt.show()" ] }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 8, "metadata": {}, "outputs": [ { "data": { - "image/png": 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PfxQeNGhQPv7442o/GP7sZz/LL3/5y2rHqM2AAQOyySabZNiwYenRo0e1XlSVcRx88MGZNWtWLr300pIbC373u9/lhBNOyHe+8528+uqradmy5WIfm6VXURR16hm3LJEXlgannnpqrrjiivz+97/PCSecsMjv+vp8Tx122GGZNWtWzj///Jx44olV+zr77LPz85//vMbjDBgwIN/73veqFVevvvrqHH744Tn++OPzwAMPJPn8Zq1tt902f/nLX9KpU6cav79qc/DBB+eee+7JDTfcUK0Q/sEHH+Tuu+9Op06dSgqCdc3BbbfdlldffTU/+tGPcvHFF5ccY+rUqZk6depixfrQQw/lhBNOSPv27XPHHXeU9K6dM2dOHnzwwap/f5Hv6zvuuCP77rtvVSGzctmAAQNy9tlnVxXCk88L3D//+c9zww035Gc/+1nJfl588cU8++yz2WSTTUoKzCeeeGLGjBmTgQMH5pJLLqkqCr/zzjvZc8898+c//zl77rln9thjj5L9vfnmm2nZsmVeeumlavO8L6p9/dprr+WQQw5J69atc++992b77beveu7aa6/NoYcemsMOO6ykd/6FF16YsWPHZsstt8zIkSPTsWPHJJ/fGFvTjZC1qbwmF9UGPO200/LUU09lxx13zPDhw6vyMn78+PTp0ydDhw7NzjvvnN13332xj72wv9+22WabPPvss1U3lFS65557stdee+UHP/hBXnnllZK/jxbnOl7c9+Nhhx2WF154ISeddFJ++ctfVk1ZMHHixOy88845/fTTs/vuu1eL7/HHH8/WW2+diRMnLvJvLxonbcfaLct5qdPQ6G+//XYGDhyY7t27Z4cddshjjz2Wf/7zn9lpp52SfP4H+RZbbJGDDz44X/va1/LrX/86v/rVr6p9GQ4YMCAHHHBAttlmm7Rp0yYjRowo+QMeAABYtrRs2TK///3vl0gRPEnOOeecJMmNN95Y8mNQ8+bNM3To0HTp0iVXXHFFrUNV1ua3v/1tVRE8SdZZZ52qH+b++Mc/Vi0fNWpUnnvuuay11lo5++yzS3pZ77fffhkwYEBmzJhR0ou88gee+XtdV9pggw0W2hv8i6os0l5//fXVnqupkDtixIg8//zzOeigg3LssceWnN+mm26an/3sZ5k5c2bJMJpTp05Nx44dqxXBk2TLLbdM+/btFxnnW2+9lWuuuSatW7fOtddeW+0H9W7dupXsv/KHtLPOOquk106HDh1yySWXVA1pPmfOnGrH+s53vlNVBE8+H+3stNNOS5JqQ79/5zvfSVEUufHGG0uWF0WRm266KU2bNs2BBx5Ytfyqq67KlClT8pOf/KSkCJ4kO+64Y37wgx9k8uTJufPOO6vFtdJKK+W8886r89/Qn332WX7zm9+kffv2ueGGG6p+WE+Stm3b5vLLL0/Lli3z5z//uWr5qFGjMn78+Ky//vo5+eSTS/Z3xhlnLPG55m+55Za8/fbb2W677ar1rh8yZEh69eqV//73vxk+fPgSPS4AX45VVlklRx11VGbMmFE1dWZt6vM99cADD+Tll19Ojx498pOf/KRkf6eddlrVlBwLqryJbUGHHXZYttlmm4waNSoffvhhXU61Rt/61rfSpk2bDBs2LJ988knJc7fddlvmzJmTAw88MM2afd5XrT45WFj7ceWVVy4ZJWdhfv3rX6coivz85z+vNsR0ixYtqnroJl/s+7pDhw657LLLSkZl2nvvvbPRRhtl0qRJJcOIL6x9Wrls/vbp1KlTc8UVV2SttdbK5ZdfXtIzeqWVVqrK2/z5m9+5555brQi+OIYOHZqPP/44559/fkkRPEkOOeSQDBgwIE888UT+9a9/VS2/9NJLk3xeK6ksgifJZpttVnWTw5Iyc+bMXHnllWnSpEnJzQHJ572oTz/99CSpVoBelIX9/bbRRhtVKzInyS677JL9998/EyZMKJnOaEldx8nnozHdfffd6d27d379619XFcGTZO21184FF1yQuXPn5oorrqhx+4svvlgRHMpMnQrhV155ZV5//fV88sknmTp1au67776qInjy+d1RV199dSZPnpxZs2Zl/PjxOeGEE0p+FGnVqlV+//vf5913383HH3+cESNGZLXVVltyZwQAACx1Nttss3r98FSTqVOn5tlnn80GG2yQ7t27V3u+VatW2XzzzfPBBx/klVdeWez9rrDCCiV//1SqHI5x7NixVXdZjxkzJkly4IEH1liwHDhwYMl6SaoKuJXz4NW1SP9F7LvvvmnVqlVuu+22krknJ02alLFjx2b99dfP5ptvXrW8cq7wAQMG1Li/yqGu558DsFevXvnggw9yxBFH1DiP9+J48MEHM3fu3Oy+++5ZddVVF7rup59+mnHjxqWioqJkyMxKlT/QzZgxI88++2y15+fvnVWpcmjz+edrT/7vR9jKmwYqjRkzJm+++WZ22GGHqqHUk/rlr9KOO+5Yr2kDnn766UybNi3bbrttyc0clTp37pz11lsvzz//fGbNmpXk8+Hbk2T//fevNmR+s2bNqhXxv6jK98OCc6VWqhySdf73DQCN2ymnnJJWrVrlD3/4Q6ZNm1brevX5nho7dmySz28yXPB7qmnTptVG2JnfRx99lBtvvDEnn3xyvve972XQoEEZNGhQ3nrrrRRFUafhqWvTrl277LXXXvnwww/zj3/8o+S5mm40rE8OKtuPp512Wu68887Mnj27znHOnTs3o0aNSpIcddRRi1z/i3xfb7755llhhRWqLa+pjbX22mtnq622yksvvVRSRE4+75DXpEmTfPvb365aNnr06Hz66afZddddaxw5pmfPnmnfvn2N7auKiorsueeeNZ7PolS26/bee+8an1+wXTdp0qS8+eab6datW3r37l1t/flvxFwSnnrqqcyaNStbbrll1ltvvWrPV/5d8sgjj9Spx+ii/n775JNPcscdd+SnP/1pjjrqqKr32HPPPZckJX+HLYnruNL8r8eCnwvJwtvZXbt2LfmbBygPdSqEAwAAfBmWZM/SN954I8nnQyZWVFTU+KjsabuwH2QXtOCQ15U6dOiQ5ZZbLh999FGmT5+eJPnf//6XJDUOTTj/8sr1ks+Hcuzbt29GjBiRb3zjG1lhhRWyyy675Pe//31mzJix2HHWR8eOHbPHHnvk3XffzT//+c+q5TfccEPVMO/zq+ytc+CBB9aY38ofkObP7znnnJOePXvmqquuykYbbZSVVlope++9d66++upqvaRq8+abbyZJjb24FvTuu+9mzpw56dy5c60jDdT0OlSqqdBe2YNmwXi7d++eXr165bnnnqv6cS+p+Ufu5P/y941vfKPG/FUWmGu6Puv7Xqk85t13313r++L5559PURR57733kvxfXmo75pLuEV6f9w0AjVvXrl0zePDgfPTRRwudkuaLfE/V1smqtu+pBx54IGuvvXa+853v5Pzzz88VV1yRv/zlL/nLX/6SiRMnJskSa3vV1Kv5f//7X0aPHp211lorW2+9ddXy+uRghx12yJAhQzJ+/Pjsueee6dixY77xjW/kZz/7WUnv6oWZNm1aZs2alZVXXnmxRuj5It/Xtd3IWFsbq6b8jRs3LhMmTEifPn1K9ld5vpdeemmt+ZsxY0aN7auVV1653tOuVB63S5cuNR6zcrSCyuM2tvbVcsstl44dO5b8LbM4Fhbnc889lx49emTAgAE555xzcvnll1e9x/79738nKX2PLYnruFLl+ieffHKNr0flTSZLsp0NNG51miMcAADgy1DfIdFr6jU9d+7cJJ//8FpTr975Le681ItSW++Jmnoh1PZ8hw4d8sADD+SRRx7JiBEjMmrUqNx///0ZOXJkzj333IwZM2axCsD1dfDBB2fYsGG54YYbqnrEVBZyF+xRXZnj3XbbrWoO8Jr06NGj6v9XW221PPnkk3nggQdy5513ZvTo0RkxYkT+/ve/5/zzz8/YsWOz/PLLL1asi8prXdetaZ26HCP5PH9PPfVUbrjhhpx77rn59NNPc9ttt6V169b51re+VbJuZf7233//hfbu/sY3vlFtWX3fK5XHXG+99WrsfTS/yh+CK6/ruubii6rL+waAxu/kk0/On//85/zxj3+sNoR5pfp8T1Wq7XuhpvbZRx99lAMOOCDvvvtufvazn+Wggw7KGmuskdatW1eNInPjjTcusblUd9lll3Tq1Cn/+Mc/8uGHH6Zjx4656aabMm/evGo3ytU3BxdeeGGOPvro3HHHHbn//vvzyCOP5PHHH8/555+fm2++udYRaBZU1+/X+nxf1/UYBx54YIYMGZKbbropv/nNb9KkSZNabzSszN+mm25a47DcC/NFpmeaO3duKioqcsghhyx0vcq5zBfVvvqy2jn1bRPXpracFUWRAw44IK+//noGDx6cwYMHZ+211067du1SUVGR0047Leeee26199iSuo4rr4Ptttsua6+9dq3r1TTqwpKapgtoXBTCAQCARq1FixZJPv/hckGVPYTnV9kzpEuXLrnmmmuWWByTJk2qcfn06dPz4Ycfpm3btunQoUOSz+fETJLXXnutxm0qe60vOO93RUVFtt1226oh+955550cd9xxufHGG3Paaafl5ptvXiLnUpM99tgjyy23XP7+97/no48+yhtvvJHnnnsu3/jGN0rm107+L8eDBw/OXnvttdjHaNasWXbeeeeqGxQmTZqUww47LA888EB+/etf57zzzlvo9pU9vl599dVFHmvFFVdMixYtMmXKlMyaNSutW7eutk5tr0N9fPvb386JJ56YG264Ieecc07uueeevPvuuznwwAOr9a5addVV89JLL+X000+v8w+19VX5mm244YaL/b6ovI4r87Sg2t4T9VXf9w0AjVuXLl3y/e9/PxdeeGHOP//8kvmhK9Xne6ry+6C276Oa2oljxozJu+++m3333TdnnXVWtecre4QvKc2bN8/++++fSy+9NMOGDcvhhx9e642G9clBpe7du+ekk07KSSedlNmzZ1fddHD00UcvsoDYqVOntG7dOm+//XZmzJixyF7hX+X39UorrZSddtopd999d0aNGpU+ffrklltuScuWLbPvvvuWrFuZv759++bCCy/8wsdeXKuuumomTJiQiy++uOpvgYVZVPuqtuX1tajX68MPP6z6W2ZxRgRYlPHjx2f8+PHZfPPNq+ZCn9/C3mNf5DquVHkd7Lfffjn22GPrdQ5AeTE0OgAA0KhV/oj28ssvV3tu5MiR1Zatuuqq6d69e/7973/X+oNPfbz77ru57777qi2/8cYbkyS9e/eu6kWx3XbbJUluvvnmql4J87vuuutK1qvNSiutlDPPPDNJSobcrk3lTQOfffbZItetadv99tsvH3/8cW6//faqIShrmv9xxx13TJLcfvvtdT7O/FZfffWcfPLJSRbv/Pr27ZumTZvmrrvuyuTJkxe6bvPmzbPVVlulKIqq12h+zz//fJ599tm0b98+PXv2rN8JzKdr167p169fJk2alEceeaTW3krJksvfghb2+m+xxRbp2LFjHnzwwcUe9rLyhoxhw4ZV67Xz2WefZdiwYUssvuT/3g/zD386v8rli3rfUD6KovBYyAOWJieffHLatGmTSy65JG+//Xa15+vzPVXZa7qm76l58+Zl+PDh1bZ5//33k9Q8nPqrr75abS7qSs2bN69X+yr5v7bADTfckJdffjlPPfVUNttss2ywwQYl69UnBzVp1apVfvzjH6dr166ZOnVqpk6dutD1mzZtmr59+yZJLr/88kXu/6v+vp4/f/fff3/efvvtqhs459evX780bdo0d955Z43t7/paVPulru26NdZYI6uuumomT56cRx99tNrzN9100xKNsVevXmndunUef/zxknm5K1X+XbLtttsukd7ole+xmobBf//996vm8F6UhV3HC3s/flntbJYODd02a+yPZZVCOAAA0Kj16dMnSXLBBRfk448/rlp+33335aKLLqpxm9NPPz1z587Nvvvum+eff77a8xMmTMhVV11V51hOPPHEvPvuu1X/fu2113L22WcnSX7wgx9ULe/bt2822mijvPbaa/n5z39e8kfn7bffnr/97W9p165dBg0aVLX8T3/6U42F+7vvvjvJ4s1ZV9nj46WXXqrbif1/88/DeNNNN6Vp06Y58MADq6233377pUePHrnmmmty3nnn5dNPPy15fs6cOfnb3/5WUtz+3e9+V+MP35Vzki/u+R1yyCGZNWtWBg0aVDU/ZqX//e9/JT9g/+hHP0qSnHHGGSW9T2bMmJEf/vCHKYoiRx99dNWPh19UZf4uu+yy/P3vf88KK6yQXXfdtdp6Rx99dFZaaaWcc845ufrqq6v9KDFz5sxce+21+e9//1un4y/s9W/ZsmV+8pOf5IMPPsi+++5bY2+jf//73yWjDvTr1y/rr79+xo8fn9/+9rcl6/7yl7+sc4+lTp06pXnz5pkwYUKNP1AfcMAB6dy5c8aMGZPLLrus5LmLL744TzzxRFZdddVqQ80D0PitvPLK+cEPfpCPP/44f/nLX6o9X5/vqf79+2fdddfNiy++mN/97ncl6/7617+usefp+uuvnyT529/+lnfeeadq+QcffJAjjjiiWpum0iqrrJK33347H3zwwWKd7/x69+6dNddcMw8++GAuuOCCJDXfKFefHNx+++0ZN25ctfWefvrpvP3222nfvv1iTT1TOZ/y2WefnTFjxpQ89+mnn+aee+6p+vdX/X09YMCAtG3bNsOGDcvVV1+dpOb8devWLYMGDcorr7ySgQMH1jgH9NixY3PXXXfV6fiLal//+Mc/TuvWrTNkyJCMGDGi2vPvvfdeLrnkksyaNatq2dFHH1217fw3PTzzzDP54x//WKf4FhVj27Ztc/jhh2fevHk55phjMnPmzKrnXn755fzyl79M8n/t5i9q3XXXTZMmTfLAAw+UFN5nz56dwYMHV2u/J3W/jhf2ftxqq62yww475MEHH8yQIUOqjSo2b968jBw5Mg8//PAXOEtgabJ0D43+2dykSR3u7lqCd4LVqkk97i34KuY3q88xmjat2/rN6rh+fdX1zpX6nHs9Xsaiad02mtey7m+/T9vXfZs57ev2usxpV/d8fda27tvMreOUK/Pq8WlV1OdWn3KabrCub5XqU6x+KYo6flTUdf2kfq99kzre2F1Rj6+U+mxT52vyq7qG63oTYSN9bxX1iesrOJe6xlWv84ClyEEHHVQ1h/QGG2yQLbbYIm+++WaefPLJnHDCCdUKdEny3e9+N88991zOP//8bLLJJtl0002z1lprZfr06XnjjTcyfvz49OzZM4cffvhix7HVVltlzpw5WW+99dK/f//MmTMn999/fz7++ON897vfLRmur6KiItdff3369euXc845J8OHD88mm2xS1Vu4WbNmueqqq9KlS5eqbf70pz/l+9//fr72ta9lgw02SLNmzfLSSy/lmWeeSevWrXPGGWcsVowrr7xybrvttvTt2zdrr712mjRpksMPP3yRc00mn990sOqqq1YVp3fdddca5wBv1qxZhg8fnl122SWnnHJKhg4dmo033jgdOnTIm2++mfHjx+eDDz7I8OHDs9FGGyVJfvGLX+QnP/lJevbsmfXWWy9FUeTf//53XnrppXTq1CknnnjiIuNLkqFDh2b8+PG57777suaaa2a77bZLu3bt8vrrr+df//pXfvrTn2azzTZL8nnB/qijjspll12WDTfcMP3790+bNm0yatSovPPOO9lqq63yi1/8YrGOuzj22WeffP/7389f//rXJMnAgQPTvHnzaustv/zyGT58ePbaa68cfvjh+cUvfpENN9wwLVu2zKRJk/Liiy9m5syZefrpp2vsTVObvfbaK3/5y1/yne98JzvvvHM6duyYJLniiiuSJKeddlpeeOGF3HjjjenevXs222yzrL766pk2bVomTpyY1157LXvvvXfVzQ9NmjTJNddckx122CEnnXRSbrzxxvTo0SPPP/98xo8fnyOPPLJq34ujRYsW2XXXXTNixIj07Nkzm222WVq0aJFtttkmhx12WNq2bZvrr78+e+65Z44++uhcdtllVYX4p59+Om3bts0NN9xQbW5YAJYOJ510Ui699NKSQtz86vo91bRp01x99dXZaaed8uMf/zjXX399unfvnhdeeCEvvvhivve97+Xyyy8vueFt8803z0477ZR7770366+/flVP6FGjRqVTp07Ze++9c8cdd1SLba+99srvf//7bLbZZundu3datWqV7t27L1b7pXLu8XPOOSeXXXZZmjRpkm9/+9tLJAejRo3K0KFD061bt2y66abp0KFD/ve//+Xhhx/OvHnzcvbZZ9fYFllQnz59cv755+fEE0/M9ttvny233DLrrLNOpk6dmmeffTZt27bN66+/niRf+fd127Zts/fee+eGG27ITTfdlI4dO2aPPfaocd2LL744EydOzI033pg777wzm2yySVZZZZVMmTIlr776aiZPnpzjjjsuu++++2Iff1Ht6/XWWy/XXXddvvvd72avvfZK9+7ds8EGG6Qoirzxxht54YUXMmfOnHznO9+pmqrnxBNPzJ133plHH30066yzTvr165cZM2bkgQceyBFHHFHjkOILs6g24Lnnnptx48bl3nvvzdprr50+ffpk5syZeeCBBzJ79uwce+yxtea0rlZeeeUcccQRufzyy9OzZ8/0798/rVu3zpgxYzJ37twMGjSo2tD/db2OF/V+vP7667PzzjvnoosuyrXXXptNNtkkK620UiZPnpyXXnop77zzTn73u99VjX4ElDc9wgEAgEat9f9j787Do6oOPo7/7mSFbEAgAZKwaBRZFUEsaCXIJhbEWotapVihb31dQbAVtWLcwLYKSAXbisVqK75KseICBCQIRVRAFFxYRSAmRBHIAmSZOe8flKlDEpgzJJlk5vt5nnmY3HvOPcu9c+cw555zmjTR8uXLdd1116m4uFhvvfWWPB6PXn75Zd166601xnv88ce1fPlyXXHFFdq7d69ee+01ffTRR2ratKnuvvtu6xHhMTExeuedd3Tdddfpvffe05IlS5SRkaE//OEP1a7j2L17d23YsEG//OUvVVJSoldffVVbtmzRlVdeqX//+9/66U9/6hP+4Ycf1k033STHcbR8+XItWrRIhw8f1v/8z//ok08+Ud++fU+Zx9jYWL355psaPHiwNm7cqHnz5mnu3LnVTitfHcdxdN1113n/PnHtyu8755xztHHjRj344INKSUnR6tWr9eabb+qbb77RJZdcor/+9a/eqQkladasWbr22mt1+PBhvf3221q8eLEiIiI0adIkffLJJzrzzDP9ymNCQoJWrFih6dOnq1OnTlq5cqXeeOMNHTx4UDfddFOVev3Tn/6kv/3tb+rZs6dWrlypRYsWKSUlRY8++qjeeecdNW3a1K90/ZGYmKgRI0Z4/z5Z/V100UXatGmTdxTRO++8o6VLl6qoqEjDhw/Xyy+/rC5dulilf9VVV2n69OlKT0/XokWLNHfuXM2dO9e73+Vy6R//+IdeffVVDRgwQNu2bdM///lPffbZZ0pNTdWDDz5YZZ32vn37as2aNRo2bJi2b9+uN954Q61atdKKFSt00UUXWeVPOvaD7OjRo7V//3794x//0Ny5c7Vy5Urv/oEDB+rDDz/Uddddp7179+rVV19VQUGBbrjhBq1fv55p0QGgEWvVqtVJ226BfE9dfPHFWr16tYYOHapt27bpjTfeUMuWLbVy5Uq1b99ekpScnOwT51//+pfuu+8+tWrVSm+//bbWr1+va6+9VmvXrq0y3fZxU6dO1W233abKykq9/PLLmjt3rt58802/y/79EcxZWVneEbynWwc33nijJk6cqLZt2+qDDz7QggUL9OWXX+ryyy/XihUrdOedd/qdx0mTJik3N1cjR47Ul19+qVdffVVffPGFevXqpccee8wnbH1/X3+//n7yk5/U2MnetGlTLV26VM8++6zOP/98bd68WQsXLtSOHTt05pln6ne/+50mTZpklbY/7eurrrpKH3/8sX71q1+poqLCu6Z5WVmZrr/+er3xxhvezmnp2P8rli1bpkmTJikmJkb/+te/tHPnTj3yyCP64x//aFk7p24DJiQkaOXKlcrOzlbLli31+uuva9WqVerdu7f+8Y9/aObMmdZpnsycOXP0xBNPqGPHjlq+fLlWrVqlQYMGad26dd7P5ffZXsen+jympqZq7dq1evLJJ3XWWWfpww8/1Guvvaa9e/eqZ8+eevrpp3XDDTfUapkBNFyOaYQTwxcVFSkpKUmD0m5WpMviybKGOiLcNo6rHkZ3SzJRlkNwAxgRbgIaqW4XxwR0TuyjMCLcDiPC60EYjwh3ldnHiar+gfSaw5fYf33Wy4jw+sKI8Dplmy93+VF98rf7dOjQISUmJtZNpoAwtmvXLnXs2FH9+/dXbm5usLMDACHv+O8+r776quLi4oKdnQaptLRUV199Ne0/4CSGDRumxYsXa+3atbrwwguDnR0AQB2h7Xhq4dx2ZEQ4AAAAAAAAAKDR+e6776qspW2M0axZs7R48WJlZmaqT58+QcodAAAItsa9RjgAAAAAAABCViOcyBBAPdq6dav69eunHj166IwzzpDb7dbmzZu1c+dONWnSRH/5y1/kBDIjJQCgUaLtiBMxIhwAAAAAAAAA0OicccYZuvnmm1VWVqbly5fr7bffVllZmX72s5/p/fffV1ZWVrCzCAAAgogR4QAAAABwEh06dOCpcgAAgAYoJSVFs2fPDnY2AABAA8WIcAAAAAAAAAAAAABASKEjHAAAAAAAAAAAAAAQUpgaHQAAAAAAAA2OMYalKWpAvQAAAPii7VizcK4XRoQDqJbLcdTr7HQN7dNJvc5Ol8txgp0lAAAAAAAAAH5wHEcdOnSwirNr1y45jqOsrKw6yVNDceONN8pxHOXm5vps79Chgxx+AwWAkEJHOIAqLu2ZqTemjdNf7h6lqb/8kf5y9yi9MW2cLu2ZGeysAQAAIETxwyMAAEDdys3NleM4uvHGG4OdlRrV1El93IMPPijHcTRv3rx6zVdtCoUyAEBjQUc4AB+X9szU7/53hFKax/tsT2kWr9/97wg6wwEAAAAAAIAG7vPPP9fy5cuDnY0GaerUqfr888/Vp0+fYGcFAFDHGvUa4aasQsZVdyMGnIgG+pxARIR1FFMfZfF47OMEUBZZjhIxUfZl90Tb58vd1O7jVBFvn0Z5vH1ZyhP9ry+X42jizwZ43/vscznyGKOJP8vS4ryd8nxvTQl3rHW25IlomGtSGNvTUl+3iQA+Xo5lHMdtfz+1TeNYJLvgAV0rMfZlcVfYhY+yTiGw+rK+JutLPQzYM/UxKDCANOolXwAAAAAAnIZzzjkn2FlosNq0aaM2bdoEOxsAgHrQQHt6AQTD+WemqU2zhBrXA3c5jto0S1SvDmn1nDMAAADUte+vCVlUVKSJEyeqY8eOioqK0vjx43Xw4EHNmjVLQ4cOVfv27RUTE6Pk5GRddtllysnJqfaYpaWlevzxx3XeeeepWbNmio+P15lnnqmf/vSnWrJkiaT/TtH51VdfSTq2nuXx14nrWpaXl2vmzJm64IILlJCQoLi4OPXp00dz586VMVUfnjt+jPLycj300EM655xzFBMToyuvvLJW6w4AAKA2HD16VLGxserYsWOVfcOHD5fjOBowYECVfd26dVNkZKSKioq8205sS914443euM8//7xPm+vBBx+scswjR47onnvu8bb7MjMz9fjjj1fb5jpZeebOnauRI0fqjDPOUJMmTdSsWTNdcsklmj9/fpXwjuPo+eeflyQNGDDAJ4+7du1Shw4dlJ2dLUn6xS9+4bP/+FTq8+bN85Zp69atuvbaa5WamiqXy6XXXnvNWxcnm37dGKOZM2eqS5cuio2NVVpamu644w4dPHiwStisrCxv/k5U3Zrr/pThuNWrV+vHP/6xUlJSFBMTow4dOuiOO+7QN998U3OlAwB8NOoR4QBqV8vEOL/CtUrwLxwAAAAanyNHjqh///766quv1L9/f51//vlq3ry51q5dqzvuuEMZGRk6++yz1bdvX+3evVtLly7V0qVL9eyzz+qmm27yHsftdmvIkCFas2aN0tPTlZWVpejoaO3du1dvvPGG4uLiNHToULVu3VpjxozRq6++qtLSUo0ZM8Z7jJYtW3rfl5aWatiwYVq1apVatmypiy++WC6XS++9957GjRunDz/8UM8880yV8ng8Hl155ZV699131b9/f/Xo0UPJycl1W4kAaoUxxqrDJZxQL0Boio2N1YUXXqh3333X2/ErHWtXrV69WpL03nvveTvMJenbb7/VZ599pvPPP1+JiYk1Hvviiy9WQUGBlixZojPPPFMXX3yxd995553nE7a8vFxDhgzRp59+qj59+qhz585auXKl7rnnHhUXF+uRRx7xqzy7du3SuHHjlJqaqnPOOUd9+vRRQUGB1qxZo1WrVumLL77w6YQfM2aMVq9erR07dnjbicfFx8fr6quv1rJly/Txxx/roosuUmbmf5dw/H5YSdqyZYsuuOACJScna8CAATpw4ICiovyb3+/222/Xn//8Z2VlZal79+5auXKlZs2apZUrV2r16tVKSEjw6zjV8bcMTz31lMaPHy+Xy6U+ffooLS1Nmzdv1qxZs/TGG2/o3//+N6PagRPQdqxZONcLHeEAvL4tKvUr3DfF/oUDAABA4/PBBx+ob9++2rlzp5o1a+bd/uWXX+rf//63+vXr5xP+o48+0qWXXqoJEyZo1KhRio+PlyStWrVKa9as0ciRI/XPf/5TLtd/JyQ7dOiQtm/fLunYtJ3z5s1Tbm6uSktLNW/evGrzdffdd2vVqlUaPXq0Zs+e7U3nm2++0YgRI/SnP/1JI0aM0I9+9COfeHv27FFMTIy2bNmitDRmNgIAAA1bVlaW3n33XeXm5urGG2+UdKy9dejQIXXt2lWffvqp1q5d6x1lnJubK2OMz6jj6owbN06ZmZlasmSJLr744hrbXNKxzvYf/vCH2rp1q/fBxHXr1qlv376aPn267rnnHm9b7GRatWqlJUuWaNCgQT5twS+//FKXXnqpHn74Yd14443eDv958+bpxhtv1I4dO3TPPfdUKdMf/vAHPfjgg/r44481btw4b/1UZ/78+brttts0Y8YMRVguz/nCCy/ovffeU69evSRJJSUlGjlypN555x1NmTJFTz75pNXxbMuwdu1aTZgwQe3atdPrr7+uHj16SDrWkfXII4/ogQce0B133KFXXnkl4HwAQLhganQAXht25Cn/YLHP+t/f5zFG+QeLtH5XXj3nDAAAAPXpqaee8ukEl6SOHTtW6QSXpJ49e+rWW29VUVGRVqxY4d1eWFgo6diPud//4VOSkpKSvD8s+qOwsFDPPvusOnbsqL/85S8+P7y2atVKf/rTnyTJ+++Jpk6dSic4AABoFPr37y9JPtNkr1y5UpL0wAMP1LjvVB3hNlwul5599lmf2Xl69+6tYcOG6fDhw1q3bp1fx0lOTtaQIUOqtAU7duyo++67Tx6PR4sWLaq1fH9fq1at9Pjjj1t3gkvSbbfd5tNWjY+P1x//+Ec5jqO5c+eqrKysNrNaxbRp0+TxePTnP//Z2wkuHZs6/v7771fPnj31z3/+U99++22d5gMAQgEjwgF4eYzR1DdzNeNnw+Uxxmet8OOd41PfXFljRzkAAAAavzZt2qh3797V7nO73Vq+fLnWrFmjgoICHT16VJK0bds2n3+lY1Nsulwu/f73v1fr1q31ox/9KOBpJFeuXKmKigpddtlliomJqbL/3HPPVUJCgj788MMq+xzH0YgRIwJKFwAAoL7169dPMTExPp3dubm5atasma6++mqlp6dX2edyuXymOj9dHTp00Nlnn11l+/Ft+fn5VsdbvXq1cnNzlZeXp6NHj8oY4z3G99uPtWnQoEFq2rRpQHGvvfbaKts6d+6sc889Vxs3btQnn3yiCy644HSzWC2Px6Ply5crISFBAwcOrLLfcRxddNFF+uijj7R+/XoNHTq0TvIBAKGCjnAAPpZ9ul3j//GGJv8oS22a/feHyn2HijX1zZVa9un2IOYOAAAAda1du3bVbt+7d6+GDx+ujz/+uMa4xcXF3vdnn322fv/73+uee+7Rddddp4iICHXr1k2DBg3SL37xC3Xt2tXvPO3atUuSNGfOHM2ZM6fGcEeOHKmyLSUlpdrOcwAAgIYoNjZWffr00apVq7Rr1y61a9dOq1ev1iWXXCKXy6X+/fvr1Vdf1dGjR1VSUqJPP/1UPXv2rDKbz+lIT0+vdvvxWXn8HRF96NAhXXXVVXrnnXdqDPP99mNtqqlN64/27dtXu71Dhw7auHGjvv7664CPfSr79+9XSUmJJCky8uTdN4wIB4BTY2p0AFUs+3S7Bv9+rsb85RVNmv+WxvzlFQ3+/XN0ggMAws57772nSy+9VHFxcWrWrJmysrKq7Wj7vry8PN1www1KTk5W06ZNdd5552n9+vXe/Y7jVPv6/e9/7w3z5z//WVlZWUpMTJTjODp48GBA+T948KBuvfVWtWnTRrGxsercubPeeuutgI6F8BEbG1vt9nHjxunjjz/WVVddpffff18HDx6U2+2WMcY7Jbk5Yeagu+66Szt27NBTTz2lyy+/XF999ZWeeOIJ9ejRQ08//bTfeXK73ZKOTcM+ZsyYGl/XX3+93+UBAKC20XZEbfn+9OgbN27UwYMHvVOfZ2VlqaysTGvXrtW7777r1/rgtpzvzRJ5On7zm9/onXfe0SWXXKLc3Fx9++23qqyslDFGS5YskVS1/Vhb6qINaJtXj8djncbxdm9CQsJJ271jxoypscMeAPBfjAgHUC2PMfrwy73BzgYAAHUqKytLN954o2688cYq+9577z1ddtllmjx5smbNmqX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" ] }, "metadata": {}, @@ -153,7 +305,7 @@ } ], "source": [ - "plot_binary_raster_from_template_raster(RASTER_PATH)" + "plot_negatives(SMALL_RASTER_PATH)" ] } ], diff --git a/tests/training_data_tools/mark_negatives_test.py b/tests/training_data_tools/mark_negatives_test.py new file mode 100644 index 00000000..0e33646c --- /dev/null +++ b/tests/training_data_tools/mark_negatives_test.py @@ -0,0 +1,48 @@ +from pathlib import Path + +import geopandas as gpd +import pytest +import rasterio + +from eis_toolkit.exceptions import NonMatchingCrsException +from eis_toolkit.training_data_tools.mark_negatives import mark_negatives +from eis_toolkit.training_data_tools.points_to_raster import points_to_raster +from tests.raster_processing.clip_test import raster_path as SMALL_RASTER_PATH + +test_dir = Path(__file__).parent.parent +PATH_LABELS_GPKG = test_dir.joinpath("data/remote/interpolating/interpolation_test_data_small.gpkg") +PATH_NEGATIVES_GPKG = test_dir.joinpath("data/remote/point.gpkg") + +positives = gpd.read_file(PATH_LABELS_GPKG) +negatives = gpd.read_file(PATH_NEGATIVES_GPKG) + + +@pytest.mark.parametrize("positives, negatives", [(positives, negatives)]) # Pass both GeoDataFrames as a tuple +def test_points_to_raster(positives, negatives): + """Test that mark_negatives function works as expected.""" + with rasterio.open(SMALL_RASTER_PATH) as temp_raster: + + outarray, outmeta = points_to_raster( + positives=positives, attribute="value", template_raster=temp_raster, nodata_value=-999 + ) + + outarray, outmeta = mark_negatives(negatives=negatives, raster_array=outarray, raster_meta=outmeta) + + assert outarray.shape == ( + temp_raster.height, + temp_raster.width, + ), f"Expected output array shape {(temp_raster.height, temp_raster.width)} but got {outarray.shape}" + + +@pytest.mark.parametrize( + "positives, negatives", [(positives, negatives.to_crs(epsg=4326))] +) # Case where CRS do not matches +def test_non_matching_crs_error(positives, negatives): + """Test that different crs raises NonMatchingCrsException.""" + + with pytest.raises(NonMatchingCrsException): + with rasterio.open(SMALL_RASTER_PATH) as temp_raster: + outarray, outmeta = points_to_raster( + positives=positives, attribute="value", template_raster=temp_raster, nodata_value=-999 + ) + outarray, outmeta = mark_negatives(negatives=negatives, raster_array=outarray, raster_meta=outmeta) From 0809ea1c92db3dc80eb53b247e7e4c33ce7fa73c Mon Sep 17 00:00:00 2001 From: Omkar Date: Fri, 31 Jan 2025 09:16:12 +0100 Subject: [PATCH 07/15] Added the code for random negative sampling --- .../training_data_tools/mark_negatives.py | 54 ------------ .../training_data_tools/points_to_raster.py | 24 +++-- .../training_data_tools/random_sampling.py | 87 +++++++++++++++++++ notebooks/testing_points_to_raster.ipynb | 70 +++++++-------- .../mark_negatives_test.py | 48 ---------- .../random_sampling_test.py | 39 +++++++++ 6 files changed, 171 insertions(+), 151 deletions(-) delete mode 100644 eis_toolkit/training_data_tools/mark_negatives.py create mode 100644 eis_toolkit/training_data_tools/random_sampling.py delete mode 100644 tests/training_data_tools/mark_negatives_test.py create mode 100644 tests/training_data_tools/random_sampling_test.py diff --git a/eis_toolkit/training_data_tools/mark_negatives.py b/eis_toolkit/training_data_tools/mark_negatives.py deleted file mode 100644 index 5f6318b1..00000000 --- a/eis_toolkit/training_data_tools/mark_negatives.py +++ /dev/null @@ -1,54 +0,0 @@ -import geopandas -import numpy as np -import rasterio -from beartype import beartype -from beartype.typing import Tuple, Union -from rasterio import profiles - -from eis_toolkit.exceptions import EmptyDataFrameException, NonMatchingCrsException - - -def _mark_negatives(negatives, raster_array, raster_meta): - - out_array = np.copy(raster_array) - - n_row, n_cols = rasterio.transform.rowcol(raster_meta.get("transform"), negatives.geometry.x, negatives.geometry.y) - - out_array[np.ix_(n_row, n_cols)] = np.where( - raster_array[np.ix_(n_row, n_cols)] == 0, -1, raster_array[np.ix_(n_row, n_cols)] - ) - - return out_array - - -@beartype -def mark_negatives( - negatives: geopandas.GeoDataFrame, - raster_array: np.ndarray, - raster_meta: Union[profiles.Profile, dict], -) -> Tuple[np.ndarray, dict]: - """Convert a point data set into a binary raster. - - Args: - negatives: The geodataframe points set to be marked into raster. - raster_array: The raster data with positives already marked. - raster_meta: The raster metadata with crs. - - Returns: - A tuple containing the output raster as a NumPy array and updated metadata. - - Raises: - EmptyDataFrameException: The input GeoDataFrame is empty. - InvalidParameterValueException: Provided invalid input parameter. - NonMatchingCrsException: The raster and geodataframe are not in the same CRS. - """ - - if negatives.empty: - raise EmptyDataFrameException("Expected geodataframe to contain geometries.") - - if raster_meta.get("crs").to_epsg() != negatives.crs.to_epsg(): - raise NonMatchingCrsException("The metadata provided and geodataframe are not in the same CRS.") - - out_array = _mark_negatives(negatives, raster_array, raster_meta) - - return out_array, raster_meta diff --git a/eis_toolkit/training_data_tools/points_to_raster.py b/eis_toolkit/training_data_tools/points_to_raster.py index 1e977cd9..6a2bb691 100644 --- a/eis_toolkit/training_data_tools/points_to_raster.py +++ b/eis_toolkit/training_data_tools/points_to_raster.py @@ -52,7 +52,7 @@ def _create_buffer_around_labels( array: np.ndarray, radius: int = 1, target_value: int = 1, - buffer_value: Optional[str] = None, + buffer: Optional[str] = None, overwrite_nodata: bool = False, ) -> np.ndarray: out_array = np.copy(array) @@ -62,13 +62,13 @@ def _create_buffer_around_labels( target_value=target_value, ) - if buffer_value == "avg": + if buffer == "avg": out_array = np.where(out_array, target_value, 0) out_array = np.where((array != 0) & (out_array != 0), (array + out_array) * 0.5, (array + out_array)) - elif buffer_value == "max": + elif buffer == "max": out_array = np.where(out_array, target_value, 0) out_array = np.where(array != 0, np.maximum(array, out_array), out_array) - elif buffer_value == "min": + elif buffer == "min": out_array = np.where(out_array, target_value, 0) out_array = np.where((array != 0) & (out_array != 0), np.minimum(array, out_array), (array + out_array)) else: @@ -103,7 +103,7 @@ def save_raster(path: str, array: np.ndarray, meta: dict = None, overwrite: bool dst.close() -def _point_to_raster(raster_array, raster_meta, positives, attribute, radius, buffer_value): +def _point_to_raster(raster_array, raster_meta, positives, attribute, radius, buffer): with MemoryFile() as memfile: raster_meta["driver"] = "GTiff" with memfile.open(**raster_meta) as datawriter: @@ -135,7 +135,7 @@ def _point_to_raster(raster_array, raster_meta, positives, attribute, radius, bu if radius is not None: for target_value in unique_values: - raster_array = _create_buffer_around_labels(raster_array, radius, target_value, buffer_value) + raster_array = _create_buffer_around_labels(raster_array, radius, target_value, buffer) return raster_array, raster_meta @@ -145,6 +145,7 @@ def points_to_raster( positives: geopandas.GeoDataFrame, attribute: Optional[str] = None, radius: Optional[int] = None, + buffer: Optional[str] = None, template_raster: Optional[rasterio.io.DatasetReader] = None, coord_west: Optional[Number] = None, coord_north: Optional[Number] = None, @@ -155,11 +156,10 @@ def points_to_raster( raster_width: Optional[int] = None, raster_height: Optional[int] = None, nodata_value: Optional[Number] = None, - buffer_value: Optional[str] = None, ) -> Tuple[np.ndarray, dict]: """Convert a point data set into a binary raster. - Assigning a value of 1 to pixels corresponding to the points and 0 elsewhere. + Assigs attribute values if provided else 1 to pixels corresponding to the points and 0 elsewhere. Provide 3 methods for raster creation: 1. Set extent and coordinate system based on a template raster. 2. Set extent from origin, based on the western and northern coordinates and the pixel size. @@ -170,6 +170,12 @@ def points_to_raster( Args: positives: The geodataframe points set to be converted into raster. + attribute: Values to be be assigned to the positives. + radius: Radius to be applied around the positives in [m]. + buffer: Buffers the matrix value when two or more radii with different attribute value overlap. + 'avg': performs averaging of the two attribute value + 'min': minimum of the two attribute values + 'max': maximum of the two attribute values template_raster: An optional raster to use as a template for the output. coord_west: The western coordinate of the output raster in [m]. coord_east: The eastern coordinate of the output raster in [m]. @@ -207,6 +213,6 @@ def points_to_raster( nodata_value, ) - raster_array, raster_meta = _point_to_raster(raster_array, raster_meta, positives, attribute, radius, buffer_value) + raster_array, raster_meta = _point_to_raster(raster_array, raster_meta, positives, attribute, radius, buffer) return raster_array, raster_meta diff --git a/eis_toolkit/training_data_tools/random_sampling.py b/eis_toolkit/training_data_tools/random_sampling.py new file mode 100644 index 00000000..443ceefa --- /dev/null +++ b/eis_toolkit/training_data_tools/random_sampling.py @@ -0,0 +1,87 @@ +import numpy as np +import rasterio +from numbers import Number +from beartype import beartype +from beartype.typing import Union, Tuple +from rasterio import profiles +import rasterio.transform +import geopandas as gpd +from shapely.geometry import Point +from eis_toolkit.exceptions import EmptyDataException + +def _random_sampling( + indices: np.ndarray, + values: np.ndarray, + sample_number:Number, + random_seed: int, + ) -> np.ndarray: + + indices_negatives = indices[values == 0] + + total_negatives=min(indices_negatives.size,sample_number) + + np.random.seed(random_seed) + negative_indices = np.random.choice(indices_negatives.shape[0],total_negatives,replace=False) + Negative_sample = indices_negatives[negative_indices] + + return Negative_sample + +@beartype +def generate_negatives( + raster_array: np.ndarray, + raster_meta: Union[profiles.Profile, dict], + sample_number:Number, + random_seed: int = 48, +) -> Tuple[gpd.GeoDataFrame, np.ndarray, dict]: + """Generate probable negatives from raster array with marked positives. + + Args: + raster_array: Raster array with marked positives. + raster_meta: Raster metadata. + sample_number: maximum number of negatives to be generated. + random_seed: Seed for generating random negatives. + + Returns: + A tuple containing the shapely points, output raster as a NumPy array and updated metadata. + + Raises: + EmptyDataException: The raster array is empty. + """ + + if raster_array.size==0: + raise EmptyDataException + + out_array=np.copy(raster_array) + + total_rows = out_array.shape[0] + total_cols = out_array.shape[1] + + indices = np.arange(total_rows*total_cols) + + indices = indices.reshape(-1,1) + + values = out_array.reshape(-1,1) + + sampled_negatives = _random_sampling(indices=indices, + values=values, + sample_number=sample_number, + random_seed=random_seed) + + sampled_negatives = sampled_negatives.reshape(1,-1) + + row = sampled_negatives//total_cols + row = row[0] + + col = np.mod(sampled_negatives, total_cols) + col = col[0] + + out_array[row,col] = -1 + + x,y = rasterio.transform.xy(raster_meta['transform'], row, col) + + points = [Point(x[i],y[i]) for i in range(len(x))] + + sample_negative = gpd.GeoDataFrame(geometry=points) + sample_negative.set_crs(raster_meta['crs'], allow_override=True, inplace=True) + + return sample_negative, out_array, raster_meta \ No newline at end of file diff --git a/notebooks/testing_points_to_raster.ipynb b/notebooks/testing_points_to_raster.ipynb index 1332b962..10b494a0 100644 --- a/notebooks/testing_points_to_raster.ipynb +++ b/notebooks/testing_points_to_raster.ipynb @@ -27,11 +27,10 @@ "\n", "from tests.raster_processing.clip_test import raster_path as SMALL_RASTER_PATH\n", "from eis_toolkit.training_data_tools.points_to_raster import points_to_raster\n", - "from eis_toolkit.training_data_tools.mark_negatives import mark_negatives\n", + "from eis_toolkit.training_data_tools.random_sampling import generate_negatives\n", "\n", "PATH_LABELS_GPKG = \"../tests/data/remote/interpolating/interpolation_test_data_small.gpkg\"\n", - "RASTER_PATH = \"../tests/data/remote/small_raster.tif\"\n", - "NEGATIVE_DATA_POINTS = \"../tests/data/remote/point.gpkg\"" + "RASTER_PATH = \"../tests/data/remote/small_raster.tif\"" ] }, { @@ -140,21 +139,21 @@ " attribute=attribute,\n", " radius=radius,\n", " nodata_value=-999,\n", - " buffer_value='avg')\n", + " buffer='avg')\n", " \n", " outarray6,outmeta6 = points_to_raster(positives=gdf,\n", " template_raster=temp_raster,\n", " attribute=attribute,\n", " radius=radius,\n", " nodata_value=-999,\n", - " buffer_value='min')\n", + " buffer='min')\n", " \n", " outarray7,outmeta7 = points_to_raster(positives=gdf,\n", " template_raster=temp_raster,\n", " attribute=attribute,\n", " radius=radius,\n", " nodata_value=-999,\n", - " buffer_value='max')\n", + " buffer='max')\n", "\n", " extent = [temp_raster.bounds.left, temp_raster.bounds.right,\n", " temp_raster.bounds.bottom, temp_raster.bounds.top]\n", @@ -231,16 +230,7 @@ "metadata": {}, "outputs": [], "source": [ - "negative_gdf = gpd.read_file(NEGATIVE_DATA_POINTS)" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [], - "source": [ - "def plot_negatives(template_raster_path):\n", + "def plot_samples(template_raster_path):\n", "\n", " attribute = 'value'\n", " radius = 3\n", @@ -251,38 +241,38 @@ " template_raster=temp_raster,\n", " nodata_value=-999)\n", " \n", - " outarray2,outmeta2 = mark_negatives(negatives=negative_gdf,\n", - " raster_array=outarray,\n", - " raster_meta=outmeta)\n", + " sampled_negatives, outarray2, _ = generate_negatives(raster_array=outarray,\n", + " raster_meta=outmeta,\n", + " sample_number=10,\n", + " random_seed=30)\n", " \n", " extent = [temp_raster.bounds.left, temp_raster.bounds.right,\n", " temp_raster.bounds.bottom, temp_raster.bounds.top]\n", "\n", - " fig,axes = plt.subplots(1,3,figsize=(20,15))\n", + " fig,axes = plt.subplots(2,2,figsize=(20,15))\n", " norm = plt.Normalize(vmax=np.nanmax(outarray), vmin=np.nanmin(outarray))\n", " norm2 = plt.Normalize(vmax=np.nanmax(outarray2), vmin=np.nanmin(outarray2))\n", "\n", - " plot.show(temp_raster, ax=axes[0])\n", - " axes[0].set_title('Template Raster with positives and negatives.', fontsize=15)\n", + " plot.show(temp_raster, ax=axes[0][0])\n", + " axes[0][0].set_title('Template Raster with positives', fontsize=15)\n", " points = gdf.cx[\n", - " temp_raster.bounds.left : temp_raster.bounds.right, # noqa: E203\n", - " temp_raster.bounds.bottom : temp_raster.bounds.top, # noqa: E203\n", + " temp_raster.bounds.left : temp_raster.bounds.right, \n", + " temp_raster.bounds.bottom : temp_raster.bounds.top, \n", " ]\n", - " points.plot(ax=axes[0], facecolor='w', edgecolor='w')\n", + " points.plot(ax=axes[0][0], facecolor='w', edgecolor='w')\n", "\n", - " npoints = negative_gdf.cx[\n", - " temp_raster.bounds.left : temp_raster.bounds.right, # noqa: E203\n", - " temp_raster.bounds.bottom : temp_raster.bounds.top, # noqa: E203\n", - " ]\n", - " npoints.plot(ax=axes[0], facecolor='r', edgecolor='r')\n", + " im1 = axes[0][1].imshow(outarray, cmap='gray', norm=norm, extent=extent)\n", + " axes[0][1].set_title(textwrap.fill('True positives converted to raster.', width=30), fontsize=15)\n", + " fig.colorbar(im1, ax=axes[0][1], orientation='vertical')\n", "\n", - " im1 = axes[1].imshow(outarray, cmap='gray', norm=norm, extent=extent)\n", - " axes[1].set_title(textwrap.fill('True positives converted to raster.', width=30), fontsize=15)\n", - " fig.colorbar(im1, ax=axes[1], orientation='vertical')\n", + " plot.show(temp_raster, ax=axes[1][0])\n", + " axes[1][0].set_title('Template Raster with positives and random negatives', fontsize=15)\n", + " sampled_negatives.plot(ax=axes[1][0], facecolor='r', edgecolor='r')\n", + " points.plot(ax=axes[1][0], facecolor='w', edgecolor='w')\n", "\n", - " im2 = axes[2].imshow(outarray2, cmap='gray', norm=norm2, extent=extent)\n", - " axes[2].set_title(textwrap.fill('Negatives converted to raster with attribute.', width=30), fontsize=15)\n", - " fig.colorbar(im2, ax=axes[2], orientation='vertical')\n", + " im1 = axes[1][1].imshow(outarray2, cmap='gray', norm=norm2, extent=extent)\n", + " axes[1][1].set_title(textwrap.fill('True positives and sampled negatives converted to raster.', width=30), fontsize=15)\n", + " fig.colorbar(im1, ax=axes[1][1], orientation='vertical')\n", "\n", " plt.tight_layout()\n", " plt.show()" @@ -290,14 +280,14 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 7, "metadata": {}, "outputs": [ { "data": { - "image/png": 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" ] }, "metadata": {}, @@ -305,7 +295,7 @@ } ], "source": [ - "plot_negatives(SMALL_RASTER_PATH)" + "plot_samples(SMALL_RASTER_PATH)" ] } ], diff --git a/tests/training_data_tools/mark_negatives_test.py b/tests/training_data_tools/mark_negatives_test.py deleted file mode 100644 index 0e33646c..00000000 --- a/tests/training_data_tools/mark_negatives_test.py +++ /dev/null @@ -1,48 +0,0 @@ -from pathlib import Path - -import geopandas as gpd -import pytest -import rasterio - -from eis_toolkit.exceptions import NonMatchingCrsException -from eis_toolkit.training_data_tools.mark_negatives import mark_negatives -from eis_toolkit.training_data_tools.points_to_raster import points_to_raster -from tests.raster_processing.clip_test import raster_path as SMALL_RASTER_PATH - -test_dir = Path(__file__).parent.parent -PATH_LABELS_GPKG = test_dir.joinpath("data/remote/interpolating/interpolation_test_data_small.gpkg") -PATH_NEGATIVES_GPKG = test_dir.joinpath("data/remote/point.gpkg") - -positives = gpd.read_file(PATH_LABELS_GPKG) -negatives = gpd.read_file(PATH_NEGATIVES_GPKG) - - -@pytest.mark.parametrize("positives, negatives", [(positives, negatives)]) # Pass both GeoDataFrames as a tuple -def test_points_to_raster(positives, negatives): - """Test that mark_negatives function works as expected.""" - with rasterio.open(SMALL_RASTER_PATH) as temp_raster: - - outarray, outmeta = points_to_raster( - positives=positives, attribute="value", template_raster=temp_raster, nodata_value=-999 - ) - - outarray, outmeta = mark_negatives(negatives=negatives, raster_array=outarray, raster_meta=outmeta) - - assert outarray.shape == ( - temp_raster.height, - temp_raster.width, - ), f"Expected output array shape {(temp_raster.height, temp_raster.width)} but got {outarray.shape}" - - -@pytest.mark.parametrize( - "positives, negatives", [(positives, negatives.to_crs(epsg=4326))] -) # Case where CRS do not matches -def test_non_matching_crs_error(positives, negatives): - """Test that different crs raises NonMatchingCrsException.""" - - with pytest.raises(NonMatchingCrsException): - with rasterio.open(SMALL_RASTER_PATH) as temp_raster: - outarray, outmeta = points_to_raster( - positives=positives, attribute="value", template_raster=temp_raster, nodata_value=-999 - ) - outarray, outmeta = mark_negatives(negatives=negatives, raster_array=outarray, raster_meta=outmeta) diff --git a/tests/training_data_tools/random_sampling_test.py b/tests/training_data_tools/random_sampling_test.py new file mode 100644 index 00000000..b4f82186 --- /dev/null +++ b/tests/training_data_tools/random_sampling_test.py @@ -0,0 +1,39 @@ +from pathlib import Path + +import geopandas as gpd +import pytest +import rasterio + +from eis_toolkit.training_data_tools.random_sampling import generate_negatives +from eis_toolkit.training_data_tools.points_to_raster import points_to_raster +from tests.raster_processing.clip_test import raster_path as SMALL_RASTER_PATH + +test_dir = Path(__file__).parent.parent +PATH_LABELS_GPKG = test_dir.joinpath("data/remote/interpolating/interpolation_test_data_small.gpkg") + +positives = gpd.read_file(PATH_LABELS_GPKG) + + +@pytest.mark.parametrize("positives", [(positives)]) +def test_points_to_raster(positives): + """Test that generate_negatives function works as expected.""" + with rasterio.open(SMALL_RASTER_PATH) as temp_raster: + + outarray, outmeta = points_to_raster( + positives=positives, attribute="value", template_raster=temp_raster, nodata_value=-999 + ) + + sampled_negatives, outarray2, outmeta2 = generate_negatives( + raster_array=outarray, raster_meta=outmeta, sample_number=10, random_seed=30 + ) + + row, col = rasterio.transform.rowcol( + outmeta2['transform'], sampled_negatives.geometry.x, sampled_negatives.geometry.y + ) + + assert outarray2.shape == ( + temp_raster.height, + temp_raster.width, + ), f"Expected output array shape {(temp_raster.height, temp_raster.width)} but got {outarray2.shape}" + + assert (outarray2[row, col] == -1).all() From 90f5ac5ead9829154ac80c366006e875fa5acf57 Mon Sep 17 00:00:00 2001 From: Omkar Date: Fri, 31 Jan 2025 09:21:11 +0100 Subject: [PATCH 08/15] Added test testing_random_sampling --- .../training_data_tools/random_sampling.py | 79 +++++----- notebooks/testing_points_to_raster.ipynb | 75 ---------- notebooks/testing_random_sampling.ipynb | 141 ++++++++++++++++++ .../random_sampling_test.py | 6 +- 4 files changed, 185 insertions(+), 116 deletions(-) create mode 100644 notebooks/testing_random_sampling.ipynb diff --git a/eis_toolkit/training_data_tools/random_sampling.py b/eis_toolkit/training_data_tools/random_sampling.py index 443ceefa..3db067bb 100644 --- a/eis_toolkit/training_data_tools/random_sampling.py +++ b/eis_toolkit/training_data_tools/random_sampling.py @@ -1,37 +1,41 @@ +from numbers import Number + +import geopandas as gpd import numpy as np import rasterio -from numbers import Number +import rasterio.transform from beartype import beartype -from beartype.typing import Union, Tuple +from beartype.typing import Tuple, Union from rasterio import profiles -import rasterio.transform -import geopandas as gpd from shapely.geometry import Point + from eis_toolkit.exceptions import EmptyDataException + def _random_sampling( - indices: np.ndarray, - values: np.ndarray, - sample_number:Number, - random_seed: int, - ) -> np.ndarray: - + indices: np.ndarray, + values: np.ndarray, + sample_number: Number, + random_seed: int, +) -> np.ndarray: + indices_negatives = indices[values == 0] - - total_negatives=min(indices_negatives.size,sample_number) + + total_negatives = min(indices_negatives.size, sample_number) np.random.seed(random_seed) - negative_indices = np.random.choice(indices_negatives.shape[0],total_negatives,replace=False) + negative_indices = np.random.choice(indices_negatives.shape[0], total_negatives, replace=False) Negative_sample = indices_negatives[negative_indices] return Negative_sample + @beartype def generate_negatives( - raster_array: np.ndarray, - raster_meta: Union[profiles.Profile, dict], - sample_number:Number, - random_seed: int = 48, + raster_array: np.ndarray, + raster_meta: Union[profiles.Profile, dict], + sample_number: Number, + random_seed: int = 48, ) -> Tuple[gpd.GeoDataFrame, np.ndarray, dict]: """Generate probable negatives from raster array with marked positives. @@ -47,41 +51,40 @@ def generate_negatives( Raises: EmptyDataException: The raster array is empty. """ - - if raster_array.size==0: + + if raster_array.size == 0: raise EmptyDataException - out_array=np.copy(raster_array) + out_array = np.copy(raster_array) total_rows = out_array.shape[0] total_cols = out_array.shape[1] - indices = np.arange(total_rows*total_cols) + indices = np.arange(total_rows * total_cols) - indices = indices.reshape(-1,1) + indices = indices.reshape(-1, 1) - values = out_array.reshape(-1,1) - - sampled_negatives = _random_sampling(indices=indices, - values=values, - sample_number=sample_number, - random_seed=random_seed) + values = out_array.reshape(-1, 1) - sampled_negatives = sampled_negatives.reshape(1,-1) - - row = sampled_negatives//total_cols + sampled_negatives = _random_sampling( + indices=indices, values=values, sample_number=sample_number, random_seed=random_seed + ) + + sampled_negatives = sampled_negatives.reshape(1, -1) + + row = sampled_negatives // total_cols row = row[0] - + col = np.mod(sampled_negatives, total_cols) col = col[0] - out_array[row,col] = -1 + out_array[row, col] = -1 + + x, y = rasterio.transform.xy(raster_meta["transform"], row, col) - x,y = rasterio.transform.xy(raster_meta['transform'], row, col) - - points = [Point(x[i],y[i]) for i in range(len(x))] + points = [Point(x[i], y[i]) for i in range(len(x))] sample_negative = gpd.GeoDataFrame(geometry=points) - sample_negative.set_crs(raster_meta['crs'], allow_override=True, inplace=True) + sample_negative.set_crs(raster_meta["crs"], allow_override=True, inplace=True) - return sample_negative, out_array, raster_meta \ No newline at end of file + return sample_negative, out_array, raster_meta diff --git a/notebooks/testing_points_to_raster.ipynb b/notebooks/testing_points_to_raster.ipynb index 10b494a0..3500347b 100644 --- a/notebooks/testing_points_to_raster.ipynb +++ b/notebooks/testing_points_to_raster.ipynb @@ -27,7 +27,6 @@ "\n", "from tests.raster_processing.clip_test import raster_path as SMALL_RASTER_PATH\n", "from eis_toolkit.training_data_tools.points_to_raster import points_to_raster\n", - "from eis_toolkit.training_data_tools.random_sampling import generate_negatives\n", "\n", "PATH_LABELS_GPKG = \"../tests/data/remote/interpolating/interpolation_test_data_small.gpkg\"\n", "RASTER_PATH = \"../tests/data/remote/small_raster.tif\"" @@ -223,80 +222,6 @@ "source": [ "plot_binary_raster_from_template_raster(SMALL_RASTER_PATH)" ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "def plot_samples(template_raster_path):\n", - "\n", - " attribute = 'value'\n", - " radius = 3\n", - " \n", - " with rasterio.open(template_raster_path) as temp_raster:\n", - " \n", - " outarray,outmeta = points_to_raster(positives=gdf,\n", - " template_raster=temp_raster,\n", - " nodata_value=-999)\n", - " \n", - " sampled_negatives, outarray2, _ = generate_negatives(raster_array=outarray,\n", - " raster_meta=outmeta,\n", - " sample_number=10,\n", - " random_seed=30)\n", - " \n", - " extent = [temp_raster.bounds.left, temp_raster.bounds.right,\n", - " temp_raster.bounds.bottom, temp_raster.bounds.top]\n", - "\n", - " fig,axes = plt.subplots(2,2,figsize=(20,15))\n", - " norm = plt.Normalize(vmax=np.nanmax(outarray), vmin=np.nanmin(outarray))\n", - " norm2 = plt.Normalize(vmax=np.nanmax(outarray2), vmin=np.nanmin(outarray2))\n", - "\n", - " plot.show(temp_raster, ax=axes[0][0])\n", - " axes[0][0].set_title('Template Raster with positives', fontsize=15)\n", - " points = gdf.cx[\n", - " temp_raster.bounds.left : temp_raster.bounds.right, \n", - " temp_raster.bounds.bottom : temp_raster.bounds.top, \n", - " ]\n", - " points.plot(ax=axes[0][0], facecolor='w', edgecolor='w')\n", - "\n", - " im1 = axes[0][1].imshow(outarray, cmap='gray', norm=norm, extent=extent)\n", - " axes[0][1].set_title(textwrap.fill('True positives converted to raster.', width=30), fontsize=15)\n", - " fig.colorbar(im1, ax=axes[0][1], orientation='vertical')\n", - "\n", - " plot.show(temp_raster, ax=axes[1][0])\n", - " axes[1][0].set_title('Template Raster with positives and random negatives', fontsize=15)\n", - " sampled_negatives.plot(ax=axes[1][0], facecolor='r', edgecolor='r')\n", - " points.plot(ax=axes[1][0], facecolor='w', edgecolor='w')\n", - "\n", - " im1 = axes[1][1].imshow(outarray2, cmap='gray', norm=norm2, extent=extent)\n", - " axes[1][1].set_title(textwrap.fill('True positives and sampled negatives converted to raster.', width=30), fontsize=15)\n", - " fig.colorbar(im1, ax=axes[1][1], orientation='vertical')\n", - "\n", - " plt.tight_layout()\n", - " plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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- "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_samples(SMALL_RASTER_PATH)" - ] } ], "metadata": { diff --git a/notebooks/testing_random_sampling.ipynb b/notebooks/testing_random_sampling.ipynb new file mode 100644 index 00000000..f263df73 --- /dev/null +++ b/notebooks/testing_random_sampling.ipynb @@ -0,0 +1,141 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import sys\n", + "\n", + "sys.path.insert(0, \"..\")" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import geopandas as gpd\n", + "import rasterio\n", + "from rasterio import plot\n", + "\n", + "import matplotlib.pyplot as plt\n", + "import textwrap\n", + "\n", + "from tests.raster_processing.clip_test import raster_path as SMALL_RASTER_PATH\n", + "from eis_toolkit.training_data_tools.points_to_raster import points_to_raster\n", + "from eis_toolkit.training_data_tools.random_sampling import generate_negatives\n", + "\n", + "PATH_LABELS_GPKG = \"../tests/data/remote/interpolating/interpolation_test_data_small.gpkg\"\n", + "RASTER_PATH = \"../tests/data/remote/small_raster.tif\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "gdf = gpd.read_file(PATH_LABELS_GPKG)\n", + "print(gdf)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "def plot_samples(template_raster_path):\n", + " \n", + " with rasterio.open(template_raster_path) as temp_raster:\n", + " \n", + " outarray,outmeta = points_to_raster(positives=gdf,\n", + " template_raster=temp_raster,\n", + " nodata_value=-999)\n", + " \n", + " sampled_negatives, outarray2, _ = generate_negatives(raster_array=outarray,\n", + " raster_meta=outmeta,\n", + " sample_number=10,\n", + " random_seed=30)\n", + " \n", + " extent = [temp_raster.bounds.left, temp_raster.bounds.right,\n", + " temp_raster.bounds.bottom, temp_raster.bounds.top]\n", + "\n", + " fig,axes = plt.subplots(2,2,figsize=(20,15))\n", + " norm = plt.Normalize(vmax=np.nanmax(outarray), vmin=np.nanmin(outarray))\n", + " norm2 = plt.Normalize(vmax=np.nanmax(outarray2), vmin=np.nanmin(outarray2))\n", + "\n", + " plot.show(temp_raster, ax=axes[0][0])\n", + " axes[0][0].set_title('Template Raster with positives', fontsize=15)\n", + " points = gdf.cx[\n", + " temp_raster.bounds.left : temp_raster.bounds.right, \n", + " temp_raster.bounds.bottom : temp_raster.bounds.top, \n", + " ]\n", + " points.plot(ax=axes[0][0], facecolor='w', edgecolor='w')\n", + "\n", + " im1 = axes[0][1].imshow(outarray, cmap='gray', norm=norm, extent=extent)\n", + " axes[0][1].set_title(textwrap.fill('True positives converted to raster.', width=30), fontsize=15)\n", + " fig.colorbar(im1, ax=axes[0][1], orientation='vertical')\n", + "\n", + " plot.show(temp_raster, ax=axes[1][0])\n", + " axes[1][0].set_title('Template Raster with positives and random negatives', fontsize=15)\n", + " sampled_negatives.plot(ax=axes[1][0], facecolor='r', edgecolor='r')\n", + " points.plot(ax=axes[1][0], facecolor='w', edgecolor='w')\n", + "\n", + " im1 = axes[1][1].imshow(outarray2, cmap='gray', norm=norm2, extent=extent)\n", + " axes[1][1].set_title(textwrap.fill('True positives and sampled negatives converted to raster.', width=30), fontsize=15)\n", + " fig.colorbar(im1, ax=axes[1][1], orientation='vertical')\n", + "\n", + " plt.tight_layout()\n", + " plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "ename": "NameError", + "evalue": "name 'gdf' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[1;32mIn[4], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m \u001b[43mplot_samples\u001b[49m\u001b[43m(\u001b[49m\u001b[43mSMALL_RASTER_PATH\u001b[49m\u001b[43m)\u001b[49m\n", + "Cell \u001b[1;32mIn[3], line 5\u001b[0m, in \u001b[0;36mplot_samples\u001b[1;34m(template_raster_path)\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mplot_samples\u001b[39m(template_raster_path):\n\u001b[0;32m 3\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m rasterio\u001b[38;5;241m.\u001b[39mopen(template_raster_path) \u001b[38;5;28;01mas\u001b[39;00m temp_raster:\n\u001b[1;32m----> 5\u001b[0m outarray,outmeta \u001b[38;5;241m=\u001b[39m points_to_raster(positives\u001b[38;5;241m=\u001b[39m\u001b[43mgdf\u001b[49m,\n\u001b[0;32m 6\u001b[0m template_raster\u001b[38;5;241m=\u001b[39mtemp_raster,\n\u001b[0;32m 7\u001b[0m nodata_value\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m999\u001b[39m)\n\u001b[0;32m 9\u001b[0m sampled_negatives, outarray2, _ \u001b[38;5;241m=\u001b[39m generate_negatives(raster_array\u001b[38;5;241m=\u001b[39moutarray,\n\u001b[0;32m 10\u001b[0m raster_meta\u001b[38;5;241m=\u001b[39moutmeta,\n\u001b[0;32m 11\u001b[0m sample_number\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m10\u001b[39m,\n\u001b[0;32m 12\u001b[0m random_seed\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m30\u001b[39m)\n\u001b[0;32m 14\u001b[0m extent \u001b[38;5;241m=\u001b[39m [temp_raster\u001b[38;5;241m.\u001b[39mbounds\u001b[38;5;241m.\u001b[39mleft, temp_raster\u001b[38;5;241m.\u001b[39mbounds\u001b[38;5;241m.\u001b[39mright,\n\u001b[0;32m 15\u001b[0m temp_raster\u001b[38;5;241m.\u001b[39mbounds\u001b[38;5;241m.\u001b[39mbottom, temp_raster\u001b[38;5;241m.\u001b[39mbounds\u001b[38;5;241m.\u001b[39mtop]\n", + "\u001b[1;31mNameError\u001b[0m: name 'gdf' is not defined" + ] + } + ], + "source": [ + "plot_samples(SMALL_RASTER_PATH)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "eis_toolkit_development_platform_eis_not_installed_py3.9", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.18" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/tests/training_data_tools/random_sampling_test.py b/tests/training_data_tools/random_sampling_test.py index b4f82186..dd9c3c21 100644 --- a/tests/training_data_tools/random_sampling_test.py +++ b/tests/training_data_tools/random_sampling_test.py @@ -14,7 +14,7 @@ positives = gpd.read_file(PATH_LABELS_GPKG) -@pytest.mark.parametrize("positives", [(positives)]) +@pytest.mark.parametrize("positives", [(positives)]) def test_points_to_raster(positives): """Test that generate_negatives function works as expected.""" with rasterio.open(SMALL_RASTER_PATH) as temp_raster: @@ -28,8 +28,8 @@ def test_points_to_raster(positives): ) row, col = rasterio.transform.rowcol( - outmeta2['transform'], sampled_negatives.geometry.x, sampled_negatives.geometry.y - ) + outmeta2["transform"], sampled_negatives.geometry.x, sampled_negatives.geometry.y + ) assert outarray2.shape == ( temp_raster.height, From c3929de6d1609dcee23dd2a0f09ee5c558b94633 Mon Sep 17 00:00:00 2001 From: Omkar Date: Fri, 31 Jan 2025 09:22:00 +0100 Subject: [PATCH 09/15] Some cosmetic changes done --- tests/training_data_tools/random_sampling_test.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tests/training_data_tools/random_sampling_test.py b/tests/training_data_tools/random_sampling_test.py index dd9c3c21..d221d0aa 100644 --- a/tests/training_data_tools/random_sampling_test.py +++ b/tests/training_data_tools/random_sampling_test.py @@ -4,8 +4,8 @@ import pytest import rasterio -from eis_toolkit.training_data_tools.random_sampling import generate_negatives from eis_toolkit.training_data_tools.points_to_raster import points_to_raster +from eis_toolkit.training_data_tools.random_sampling import generate_negatives from tests.raster_processing.clip_test import raster_path as SMALL_RASTER_PATH test_dir = Path(__file__).parent.parent From f87a5326f27a2d0efbc74e03430ee9af51875b50 Mon Sep 17 00:00:00 2001 From: Omkar Date: Fri, 14 Feb 2025 12:21:42 +0100 Subject: [PATCH 10/15] Changes made: 1) Added launch.json file to gitignore. 2) Removed the save raster function 3) Removed the Memoryfile function 4) Renamed the positives --- .gitignore | 3 + .../training_data_tools/points_to_raster.py | 91 +++++++------------ eis_toolkit/utilities/miscellaneous.py | 2 +- notebooks/testing_points_to_raster.ipynb | 50 +++++----- .../points_to_raster_test.py | 14 +-- 5 files changed, 70 insertions(+), 90 deletions(-) diff --git a/.gitignore b/.gitignore index 67d161cd..daeccda9 100755 --- a/.gitignore +++ b/.gitignore @@ -164,3 +164,6 @@ cython_debug/ tests/data/local/** !tests/data/local/**/ !tests/data/local/**/.gitkeep + +#configuration files +.vscode/launch.json \ No newline at end of file diff --git a/eis_toolkit/training_data_tools/points_to_raster.py b/eis_toolkit/training_data_tools/points_to_raster.py index 6a2bb691..5362e0e8 100644 --- a/eis_toolkit/training_data_tools/points_to_raster.py +++ b/eis_toolkit/training_data_tools/points_to_raster.py @@ -1,12 +1,12 @@ -import os from numbers import Number import geopandas import numpy as np import rasterio +from pyproj import CRS +import rasterio.transform from beartype import beartype from beartype.typing import Optional, Tuple -from rasterio.io import MemoryFile from scipy.ndimage import binary_dilation from eis_toolkit.exceptions import EmptyDataFrameException, NonMatchingCrsException @@ -80,69 +80,46 @@ def _create_buffer_around_labels( return out_array -@beartype -def save_raster(path: str, array: np.ndarray, meta: dict = None, overwrite: bool = False): - """Save the given raster NumPy array and metadata in a raster format at the provided path. - - Args: - path: Path to store the raster. - array: Raster NumPy array. - meta: Raster metadata. - overwrite: overwrites the existing raster file if present, default false. - """ - - if os.path.exists(path) and overwrite is False: - print(f"File already exists: {os.path.basename(path)}.") - return - else: - if array.ndim == 2: - array = np.expand_dims(array, axis=0) - - with rasterio.open(path, "w", compress="lzw", **meta) as dst: - dst.write(array) - dst.close() - +def _point_to_raster(raster_array, raster_meta, geodataframe, attribute, radius, buffer): + + geodataframe_crs = geodataframe.crs + raster_crs = raster_meta["crs"].to_epsg() -def _point_to_raster(raster_array, raster_meta, positives, attribute, radius, buffer): - with MemoryFile() as memfile: - raster_meta["driver"] = "GTiff" - with memfile.open(**raster_meta) as datawriter: - datawriter.write(raster_array, 1) + if(geodataframe_crs != raster_crs): + raise NonMatchingCrsException("The input GeoDataFrame and raster are not in the same CRS.") + + width = raster_meta["width"] + height = raster_meta["height"] - with memfile.open() as memraster: - if not check_matching_crs( - objects=[memraster, positives], - ): - raise NonMatchingCrsException("The raster and geodataframe are not in the same CRS.") + left = raster_meta["transform"][2] + top = raster_meta["transform"][5] + right = left + width * raster_meta["transform"][0] + bottom = top + height * raster_meta["transform"][4] - # Select only positives that are within raster bounds - positives = positives.cx[ - memraster.bounds.left : memraster.bounds.right, # noqa: E203 - memraster.bounds.bottom : memraster.bounds.top, # noqa: E203 - ] + geodataframe = geodataframe.cx[left:right, bottom:top] - if attribute is not None: - values = positives[attribute] - else: - values = [1] + if attribute is not None: + values = geodataframe[attribute] + else: + values = [1] - positives_rows, positives_cols = rasterio.transform.rowcol( - memraster.transform, positives.geometry.x, positives.geometry.y - ) - raster_array[positives_rows, positives_cols] = values + positives_rows, positives_cols = rasterio.transform.rowcol( + raster_meta["transform"], geodataframe.geometry.x, geodataframe.geometry.y + ) + raster_array[positives_rows, positives_cols] = values - unique_values = list(set(values)) + unique_values = list(set(values)) - if radius is not None: - for target_value in unique_values: - raster_array = _create_buffer_around_labels(raster_array, radius, target_value, buffer) + if radius is not None: + for target_value in unique_values: + raster_array = _create_buffer_around_labels(raster_array, radius, target_value, buffer) return raster_array, raster_meta @beartype def points_to_raster( - positives: geopandas.GeoDataFrame, + geodataframe: geopandas.GeoDataFrame, attribute: Optional[str] = None, radius: Optional[int] = None, buffer: Optional[str] = None, @@ -169,9 +146,9 @@ def points_to_raster( the desired number of pixels for rows and columns. Args: - positives: The geodataframe points set to be converted into raster. - attribute: Values to be be assigned to the positives. - radius: Radius to be applied around the positives in [m]. + geodataframe: The geodataframe points set to be converted into raster. + attribute: Values to be be assigned to the geodataframe. + radius: Radius to be applied around the geodataframe in [m]. buffer: Buffers the matrix value when two or more radii with different attribute value overlap. 'avg': performs averaging of the two attribute value 'min': minimum of the two attribute values @@ -195,7 +172,7 @@ def points_to_raster( NonMatchingCrsException: The raster and geodataframe are not in the same CRS. """ - if positives.empty: + if geodataframe.empty: raise EmptyDataFrameException("Expected geodataframe to contain geometries.") base_value = 0 @@ -213,6 +190,6 @@ def points_to_raster( nodata_value, ) - raster_array, raster_meta = _point_to_raster(raster_array, raster_meta, positives, attribute, radius, buffer) + raster_array, raster_meta = _point_to_raster(raster_array, raster_meta, geodataframe, attribute, radius, buffer) return raster_array, raster_meta diff --git a/eis_toolkit/utilities/miscellaneous.py b/eis_toolkit/utilities/miscellaneous.py index 7e0fcb02..6c04f7d7 100644 --- a/eis_toolkit/utilities/miscellaneous.py +++ b/eis_toolkit/utilities/miscellaneous.py @@ -5,7 +5,7 @@ import pandas as pd from beartype import beartype from beartype.typing import Any, List, Optional, Sequence, Tuple, Union -from osgeo import gdal +#from osgeo import gdal from rasterio import transform from shapely.geometry import Point diff --git a/notebooks/testing_points_to_raster.ipynb b/notebooks/testing_points_to_raster.ipynb index 3500347b..13158b97 100644 --- a/notebooks/testing_points_to_raster.ipynb +++ b/notebooks/testing_points_to_raster.ipynb @@ -51,16 +51,16 @@ " id value geometry\n", "0 1.0 10.0 POINT (384758.306 6671365.922)\n", "1 2.0 20.0 POINT (384769.919 6671362.194)\n", - "2 3.0 30.0 POINT (384769.059 6671350.580)\n", + "2 3.0 30.0 POINT (384769.059 6671350.58)\n", "3 4.0 40.0 POINT (384777.519 6671344.128)\n", - "4 5.0 35.0 POINT (384761.030 6671342.264)\n", + "4 5.0 35.0 POINT (384761.03 6671342.264)\n", "5 6.0 25.0 POINT (384758.306 6671355.025)\n", "6 7.0 50.0 POINT (384783.397 6671365.205)\n", "7 8.0 100.0 POINT (384795.584 6671358.179)\n", "8 9.0 120.0 POINT (384795.728 6671344.988)\n", "9 11.0 79.0 POINT (384786.408 6671335.955)\n", "10 12.0 60.0 POINT (384780.243 6671327.783)\n", - "11 13.0 50.0 POINT (384771.497 6671320.040)\n", + "11 13.0 50.0 POINT (384771.497 6671320.04)\n", "12 NaN 40.0 POINT (384791.797 6671314.259)\n", "13 NaN 30.0 POINT (384799.487 6671303.044)\n", "14 NaN 20.0 POINT (384808.459 6671290.707)\n", @@ -75,15 +75,15 @@ "23 NaN 45.0 POINT (384768.084 6671297.917)\n", "24 NaN 50.0 POINT (384762.637 6671305.608)\n", "25 NaN 55.0 POINT (384759.913 6671316.182)\n", - "26 NaN 60.0 POINT (384749.820 6671310.414)\n", - "27 NaN 65.0 POINT (384750.941 6671299.840)\n", + "26 NaN 60.0 POINT (384749.82 6671310.414)\n", + "27 NaN 65.0 POINT (384750.941 6671299.84)\n", "28 NaN 40.0 POINT (384753.665 6671287.343)\n", "29 NaN 100.0 POINT (384815.028 6671333.325)\n", - "30 NaN 90.0 POINT (384801.410 6671331.723)\n", + "30 NaN 90.0 POINT (384801.41 6671331.723)\n", "31 NaN 70.0 POINT (384792.438 6671325.795)\n", "32 NaN 120.0 POINT (384812.144 6671349.828)\n", "33 NaN 100.0 POINT (384807.338 6671365.689)\n", - "34 NaN 80.0 POINT (384796.443 6671373.380)\n", + "34 NaN 80.0 POINT (384796.443 6671373.38)\n", "35 NaN 30.0 POINT (384778.499 6671375.623)\n" ] } @@ -113,41 +113,41 @@ " \n", " with rasterio.open(template_raster_path) as temp_raster:\n", " \n", - " outarray,outmeta = points_to_raster(positives=gdf,\n", + " outarray,outmeta = points_to_raster(geodataframe=gdf,\n", " template_raster=temp_raster,\n", " nodata_value=-999)\n", " \n", - " outarray2,outmeta2 = points_to_raster(positives=gdf,\n", + " outarray2,outmeta2 = points_to_raster(geodataframe=gdf,\n", " attribute=attribute,\n", " template_raster=temp_raster,\n", " nodata_value=-999)\n", " \n", - " outarray3,outmeta3 = points_to_raster(positives=gdf,\n", + " outarray3,outmeta3 = points_to_raster(geodataframe=gdf,\n", " template_raster=temp_raster,\n", " radius=radius,\n", " nodata_value=-999)\n", " \n", - " outarray4,outmeta4 = points_to_raster(positives=gdf,\n", + " outarray4,outmeta4 = points_to_raster(geodataframe=gdf,\n", " template_raster=temp_raster,\n", " attribute=attribute,\n", " radius=radius,\n", " nodata_value=-999)\n", " \n", - " outarray5,outmeta5 = points_to_raster(positives=gdf,\n", + " outarray5,outmeta5 = points_to_raster(geodataframe=gdf,\n", " template_raster=temp_raster,\n", " attribute=attribute,\n", " radius=radius,\n", " nodata_value=-999,\n", " buffer='avg')\n", " \n", - " outarray6,outmeta6 = points_to_raster(positives=gdf,\n", + " outarray6,outmeta6 = points_to_raster(geodataframe=gdf,\n", " template_raster=temp_raster,\n", " attribute=attribute,\n", " radius=radius,\n", " nodata_value=-999,\n", " buffer='min')\n", " \n", - " outarray7,outmeta7 = points_to_raster(positives=gdf,\n", + " outarray7,outmeta7 = points_to_raster(geodataframe=gdf,\n", " template_raster=temp_raster,\n", " attribute=attribute,\n", " radius=radius,\n", @@ -162,7 +162,7 @@ " norm2 = plt.Normalize(vmax=np.nanmax(outarray2), vmin=np.nanmin(outarray2))\n", "\n", " plot.show(temp_raster, ax=axes[0][0])\n", - " axes[0][0].set_title('Template Raster with positives.', fontsize=15)\n", + " axes[0][0].set_title('Template Raster with geodataframe.', fontsize=15)\n", " points = gdf.cx[\n", " temp_raster.bounds.left : temp_raster.bounds.right, # noqa: E203\n", " temp_raster.bounds.bottom : temp_raster.bounds.top, # noqa: E203\n", @@ -170,31 +170,31 @@ " points.plot(ax=axes[0][0], facecolor='w', edgecolor='w')\n", "\n", " im1 = axes[0][1].imshow(outarray, cmap='gray', norm=norm, extent=extent)\n", - " axes[0][1].set_title(textwrap.fill('True positives converted to raster.', width=30), fontsize=15)\n", + " axes[0][1].set_title(textwrap.fill('True geodataframe converted to raster.', width=30), fontsize=15)\n", " fig.colorbar(im1, ax=axes[0][1], orientation='vertical')\n", "\n", " im2 = axes[0][2].imshow(outarray2, cmap='gray', norm=norm2, extent=extent)\n", - " axes[0][2].set_title(textwrap.fill('True positives converted to raster with attribute.', width=30), fontsize=15)\n", + " axes[0][2].set_title(textwrap.fill('True geodataframe converted to raster with attribute.', width=30), fontsize=15)\n", " fig.colorbar(im2, ax=axes[0][2], orientation='vertical')\n", "\n", " im3 = axes[1][0].imshow(outarray3, cmap='gray', norm=norm, extent=extent)\n", - " axes[1][0].set_title(textwrap.fill('True positives converted to raster with radius.', width=30), fontsize=15)\n", + " axes[1][0].set_title(textwrap.fill('True geodataframe converted to raster with radius.', width=30), fontsize=15)\n", " fig.colorbar(im3, ax=axes[1][0], orientation='vertical')\n", "\n", " im4 = axes[1][1].imshow(outarray4, cmap='gray', norm=norm2, extent=extent)\n", - " axes[1][1].set_title(textwrap.fill('True positives converted to raster with attribute and radius.', width=30), fontsize=15)\n", + " axes[1][1].set_title(textwrap.fill('True geodataframe converted to raster with attribute and radius.', width=30), fontsize=15)\n", " fig.colorbar(im4, ax=axes[1][1], orientation='vertical')\n", "\n", " im5 = axes[1][2].imshow(outarray5, cmap='gray', norm=norm2, extent=extent)\n", - " axes[1][2].set_title(textwrap.fill('True positives converted to raster with attribute and radius and averaging buffer.', width=30), fontsize=15)\n", + " axes[1][2].set_title(textwrap.fill('True geodataframe converted to raster with attribute and radius and averaging buffer.', width=30), fontsize=15)\n", " fig.colorbar(im5, ax=axes[1][2], orientation='vertical')\n", " \n", " im6 = axes[2][0].imshow(outarray6, cmap='gray', norm=norm2, extent=extent)\n", - " axes[2][0].set_title(textwrap.fill('True positives converted to raster with attribute and radius and min buffer.', width=30), fontsize=15)\n", + " axes[2][0].set_title(textwrap.fill('True geodataframe converted to raster with attribute and radius and min buffer.', width=30), fontsize=15)\n", " fig.colorbar(im6, ax=axes[2][0], orientation='vertical')\n", "\n", " im7 = axes[2][1].imshow(outarray7, cmap='gray', norm=norm2, extent=extent)\n", - " axes[2][1].set_title(textwrap.fill('True positives converted to raster with attribute and radius and max buffer.', width=30), fontsize=15)\n", + " axes[2][1].set_title(textwrap.fill('True geodataframe converted to raster with attribute and radius and max buffer.', width=30), fontsize=15)\n", " fig.colorbar(im7, ax=axes[2][1], orientation='vertical')\n", "\n", " axes[2][2].axis('off')\n", @@ -210,7 +210,7 @@ "outputs": [ { "data": { - "image/png": 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2ueSSSwLfS/fu3c3u3buDylecq7fddpvxer3m2GOPNYMGDTLt2rUzkkxmZqbZsGFDoPxXX31lJJlevXqFbO/ixYuNJHPiiScGpc+ePdukpqYaSeaYY44xl1xyienevbtxHMckJiaaadOmBZV/7bXXjCRz+eWXm9TUVNOmTRszePBg079/fzN+/HgzdOhQk5OTYySZQYMGBX3/FXw+n7n00kuNJJOammrOOOMMc8EFF5jc3NzAdejz+YL2O3/+fJOUlGQkmeOOO85cfvnlplOnTiY2NtbccMMNIa/rUCZOnGgGDRpkJJmcnJyg9v3jH/8IlPviiy8C19UJJ5xgLr/8cnPccccFvu9Zs2YddF8AgPqB+JH4kfiR+JH4EdGKQU8AAACgHjvYTStJ5qKLLjLFxcWV6lbnptXbb79tJJnjjz8+qF5paWngJsYdd9xRpbZX7EOS6dKli9m8eXMg7+effzbNmjUzksyHH34YSPf7/aZz585Gkrn33nuDbga98847xuPxmJSUFJOfn1+pj957771Kbfj+++/N+vXrD3rcFTc2bDcRbPX69u1rJIW8IfD3v//dSDKjRo0KpJWXl5tOnToZSebZZ58NOr5FixaZzMxMk5ycbDZu3BhI7927t3Ecx3zzzTeV9vH111+bwsLCkG0+0PDhw40kc/rpp5uCgoKgvLVr1wZt/9133zWSTPPmzc1PP/0USN+xY4fp1auXkWTuvPPOoG1UfA8ej8dMmDAh6Jgrbro8+OCDQXXatm1rHMcxq1atqtTeO++800gyY8eODdp/bm6uiY2NNe+8805Q+alTp5q4uDjTvHlzU1JSEkiv+G4lmVtuuSXoBmIFt2vFGGMee+wxI8n069fPbNq0KZC+a9cuc9555xlJ5m9/+1sg3efzmQ4dOhhJZsyYMUHbeuCBBwLtqcpNK2PcbzJXtKPixtu4ceOC8p5++mkjybRo0cLs2bOnSvsDAEQ34kfiR+JH4kfiR0QrBj0BAACAeuxgN63i4+PN2rVrQ9atzk2rY4891kgyP/zwQ6U6xcXFJjc316Snp1d6KjmU/W9aTZkypVL+uHHjjCTTv3//QNq0adOMJNOmTZuQNxcuvvjiSjcCBg4caCSZbdu2VblNNXXT6pVXXjGSzIgRIyrVqXj6f8GCBYG0iRMnGklmyJAhIfczduxYI8k89dRTgbSOHTua9PT0gx6bm/Xr1xuv12sSExPNmjVrDlr+tNNOM5LMK6+8Uilv6dKlxnEck5KSEnRzqOJcveqqqyrVWbhwYcj+e/DBB0Pe2PH7/aZly5bG6/UGPd3/zDPPBG5ohjJq1KhKNzArvtvs7GxTVFQUsp7btVJWVmaysrJMSkpK0I3XCvn5+SY+Pt507tw5kPbll18aSaZdu3aVZnGUlZWZVq1a1ehNq1dffdVIMqeeemrI/K5duxpJ5s0336zS/gAA0Y34MRjxY/UQPxI/Ej8iEninJwAAANCAnXDCCWrevHmNbGvTpk369ttv1bFjR7Vv375SfkJCgrp166bt27frp59+qvJ2MzIy1K9fv0rpV1xxhSRp3rx5MsZIkmbPni1JGjx4sLxeb6U6V199dVA5Seratask6ZprrtF//vMf63ueDodBgwYpISFB7777btB7eVavXq158+apXbt26tatWyC94t1MF154Ycjt9erVS5KC3j3VtWtXbd++XcOHDw/53qSqmD59unw+n84++2y1aNHCtWxZWZnmz58vx3EC39H+OnfurC5dumjnzp369ttvK+X379+/Ulq7du0kKej9WJJ05ZVXSpImTJgQlD579mytWbNGZ5xxhnJzcwPp1em/CmeeeaaSkpJC1nOzePFiFRQUqFevXsrKyqqUn5OTo6OOOkp5eXkqLi6WJM2ZM0eSdOmll1Z6t1NMTIwuueSSsNvhpuJ6qOjPA1111VVB5QAADRvxI/FjVRA/Ej/uXw6oLQx6AgAAAA1Yq1atamxbv/76qyRp+fLlchwn5Oejjz6SJBUUFFR5u61btw6ZnpqaqvT0dO3atUuFhYWSpPXr10uSjjjiiJB1KtIryknSnXfeqT59+mjy5Mk6+eSTlZGRoQEDBuivf/2rdu7cWeV2VkdaWprOOeccbdmyRZ999lkgfcKECTLGVLqJsGrVKkl7b8qF6t+KG1z79++jjz6qY489Vq+++qo6d+6s7OxsXXDBBXrttddUUlJSpXauWbNGktS2bduDlt2yZYtKS0uVk5OjhISEkGVCfQ8VQt0Ua9SokSRVam/79u3VtWtXLVu2TMuWLQukV9zEsvXfySefHLL/Km4GhTo/q3utVOzz008/tV4XeXl5MsZo69atkvb1i22fNXnd7r+/cK4bAEDDRfxI/FgVxI/Ej/uXA2pLTKQbAAAAACBybDcVDibU0+w+n0+S1LRp05BPW+8vMzOzWvs9UMUT+gc68Olmt/zU1FRNmzZNc+fO1eTJkzVjxgx9+eWXmjJlisaMGaPZs2dX6WZNdV155ZV67733NGHCBJ133nmS9t10OfBJ94o+HjhwoJo0aWLdZocOHQL/btmypb755htNmzZNH330kWbOnKnJkydr0qRJevzxxzVv3jw1bty4Sm09WL+GWzZUmXD2Ie3tv4ULF2rChAkaM2aMysrK9O677yoxMVEXXXRRUNmK/rv00ktdn7o/+eSTK6VV91qp2OdRRx2lHj16uJaNj4+XtO+8DrcvDlU41w0AoOEifiR+JH6sjPixevlATWPQEwAAAEBIcXFxkqRdu3ZVyqt4cnt/FU9Y5+bmavz48TXWjtWrV4dMLyws1I4dO5ScnKzU1FRJUrNmzSRJK1euDFmnYjZB06ZNg9Idx1GvXr0Cy1Nt3rxZv//97/Xmm2/qvvvu09tvv10jxxLKOeeco/T0dE2aNEm7du3Sr7/+qmXLlunkk0/WkUceGVS2oo9vvPFGnX/++VXeR0xMjPr37x+4mbh69Wpde+21mjZtmv7yl7/osccec63fsmVLSdLPP/980H1lZmYqLi5O+fn5Ki4uVmJiYqUytu+hOi6//HLdeeedmjBhgh599FF9/vnn2rJliwYPHqyUlJSgsi1atNCKFSv0wAMPqEuXLoe876qo+M46depU5eui4jyu6KcD2a6J6qrudQMAwIGIH4kfKxA/Vh/xI1B9LG8LAAAAIKSKP1B//PHHSnlTpkyplNaiRQu1b99eS5cutf7xWx1btmzRF198USn9zTfflCT16NEj8ATxqaeeKkl6++23A09I7+///b//F1TOJjs7W6NHj5akoGWvbCpu8JWXlx+0bKi6l1xyiXbv3q0PPvhA//rXvySFfj/OmWeeKUn64IMPwt7P/lq1aqW7775bUtWOr0+fPvJ6vfrkk0+0bt0617KxsbE65ZRTZIwJfEf7y8vL07fffquUlBQde+yx1TuA/TRt2lSnn366Vq9erblz51qXJpNqrv8O5Pb9n3jiiUpLS9P06dMDy+gdTMXN0/fee6/SbJTy8nK99957NdY+ad/1UHHuHagi/WDXDQAAxI+jJRE/SsSPB0P8CBweDHoCAAAACKl3796SpKeeekq7d+8OpH/xxRcaO3ZsyDoPPPCAfD6fBg0apLy8vEr5v/zyi1599dWw23LnnXdqy5Ytgf+vXLlS//d//ydJGjlyZCC9T58+6ty5s1auXKk//vGPQX/wf/DBB3r//ffVqFEjDRs2LJD+wgsvhLzJ9umnn0qq2vtvKp50XrFiRXgH9j8VN1j+9a9/6a233pLX69XgwYMrlbvkkkvUoUMHjR8/Xo899pjKysqC8ktLS/X+++8H3Yh65plntHHjxkrbqngHVFWP75prrlFxcbGGDRsWeHdQhfXr12vRokWB/996662SpIceekj//e9/A+k7d+7ULbfcImOMRowYEbiZcqgq+u+ll17SpEmTlJGRobPOOqtSuREjRig7O1uPPvqoXnvttUo3hIqKivT6669r7dq1Ye3f7fuPj4/XHXfcoe3bt2vQoEEhn75funRp0GyQ008/Xe3atdMPP/ygJ598Mqjsn/70J+sT/DZZWVmKjY3VL7/8EvJm7mWXXaacnBzNnj1bL730UlDec889pwULFqhFixaVlnsDAOBAxI/EjxWIH90RPwKHiQEAAABQbw0dOtRIMg899FBQ+vTp040kM3ToUGvd3bt3m/bt2xtJplWrVmbQoEHmpJNOMh6Px9xxxx1Gkundu3elenfddZeRZLxer+nWrZu59NJLzYABA0yHDh2MJHPsscdWqe0rV640kswpp5xiTjjhBNO4cWMzaNAgc95555mkpCQjyVx11VWV6i1dutRkZmYaSaZjx45myJAhpmfPnkaSiYmJMf/+97+Dyh977LFGkjn66KPNoEGDzODBg81xxx1nJJnExEQzb968Sm068LiLi4tNkyZNAnnXXnutGT58uJk7d65rvQp+v9+0aNHCSDKSzFlnnWXtl+XLl5tWrVoZSaZp06ZmwIAB5tJLLzWnnHKKSU9PN5LMxIkTA+XT0tKMx+Mxxx9/vLnsssvMpZdeGvhes7KyzM8//3yQb2KvwsJC0717dyPJpKSkmLPPPttcdtll5qSTTjIxMTGVzrHf/va3gT4855xzzKWXXmqys7MD32lRUVFQ+Ypzdfr06SH3L8m0bt06ZN6OHTtMQkJCoP9uvPFG63HMmTPHZGRkBLZ3zjnnmIsvvth069bNJCcnG0lm8eLFgfKvvfZayGtof++9956RZFJTU80ll1xihg8fboYPHx7I9/l8ZsiQIUaSiY+PN927dzeDBw82Z5xxhmnTpo2RZC644IKgbc6bN88kJiYaSeb44483Q4YMMZ07dzaxsbHm+uuvP2ibDnTeeecZSeaYY44xV199tRk+fLh59dVXA/lffPFFYH9du3Y1Q4YMMccff7yRZJKTk82sWbOqvC8AQHQjfiR+JH4MRvxI/IjowaAnAAAAUI8dyk0rY4xZu3atGTJkiGncuLFJTEw03bp1M++8885Bb8J8+eWX5qKLLjK5ubkmNjbWNGnSxJxwwgnmzjvvNAsXLqxS2/ffx/bt283IkSNNs2bNTFxcnGnfvr158sknTXl5eci6v/76q7nhhhtMy5YtTWxsrMnKyjIXXnih+frrryuVnTRpkrnuuuvMMcccY9LT001SUpJp166d+e1vf2t++ukna5sOtGDBAtOvXz+TlpZmHMcxksxrr7120HoV7rzzzsBNl9dff921b7Zu3WpGjx5tjj32WJOcnGySkpJM27Ztzfnnn29ee+01s3PnzkDZ119/3VxxxRWmffv2JiUlxaSkpJijjz7a3HHHHWb9+vWu+znQnj17zDPPPBO4wbN/X+Xl5VUq//rrr5sePXqYRo0amYSEBHPMMceYP//5z2b37t2Vyh7KTStjjLn00ksD/XewGyzr1q0zt99+u+nQoYNJTEw0jRo1Mu3atTODBw82b7/9tikpKQmUrcpNK2OMeeaZZ8zRRx9t4uPjA+040LvvvmvOOussk5WVZWJjY03Tpk3NKaecYkaPHm1++OGHSuUXL15sBg4cGPje+vbta+bMmVPlNu1v48aN5uqrrza5ubnG6/WGvP7z8vLMkCFDTE5OTqB9V111Vci2AQDqL+JH4kfix8qIH4kfER0cYw6Yjw0AAAAAdcCqVavUpk0b9e7dWzNmzIh0cwAAAFDHET8CQMPGOz0BAAAAAAAAAAAARDUGPQEAAAAAAAAAAABENQY9AQAAAAAAAAAAAEQ13ukJAAAAAAAAAAAAIKox0xMAAAAAAAAAAABAVGPQEwAAAAAAAAAAAEBUY9CzjnIcJ6zPEUccEekmR51Vq1bJcRz16dOnVuoBoYwfP16O42j06NGRbgoAAKhhw4YNk+M4mjFjRlj1+vTpI8dxtGrVqsPSrrpgxowZchxHw4YNC0ofPXq0HMfR+PHjI9Ku+szW5wAAoG4hhrQjhqx9xJCINgx61lFDhw6t9Gnbtq0k6dhjj62Ud8kll0S4xfUHg1ANW10PEBl0BwDUV0cccYQcx4l0M2pFXT/Wg93YqA/xSH04BgAAUPfjqppU14+VGBJAXRAT6QYgtFBPpQwbNky//PKLLrzwQgbkakDz5s21fPlyJSUl1Uo9AAAANCxjxozRPffco1atWkW6KXXOSSedpOXLlystLS3STQEAAKhTiCHtiCEBHAyDnmiwYmNj1aFDh1qrBwAAgIaladOmatq0aaSbUSclJSURUwMAAIRADGlHDAngYFjeth7Yf+mA/Px8XX/99WrRooViYmI0duxYSe5Ldh5sWv7kyZM1YMAAZWZmKiEhQe3atdODDz6oXbt2VbmN+++jsLBQv//979WyZUslJCSoY8eOeuaZZ+T3+0PWXbNmjUaMGKHWrVsrPj5eTZo00cUXX6wFCxaELL98+XJdffXVatu2rRISEpSdna3jjjtOo0aN0oYNG1yPu0+fPrr22mslSQ8//HDQe1MrZt+GqvfUU0/JcRzdc8891j44++yz5TiOpk6dGpS+efNm3XHHHWrfvr0SEhLUuHFjDRw4ULNmzQq5na+//loXXXRRoD9yc3N10kkn6d577w3rOykrK9Pzzz+vnj17Kj09XUlJSWrXrp1uuOEG5eXlVSr/xhtvqFevXkpNTVVSUpK6dOmiMWPGaM+ePZXK7v/ugVmzZqlv375KSUlRamqqzjnnHH3//fdB5W+99VY5jqMXXnjB2t5jjjlGjuPoxx9/DEpftWqVRowYoSOOOELx8fHKzs7WJZdcoqVLl1baxv5LF//444+6/PLLlZOTI4/Ho7Fjx8pxHM2cOVOS1KZNm6Dvf3/GGP3zn//UaaedpvT0dCUmJqpLly568sknVVZWFrL9S5cu1bnnnqu0tDSlpaWpX79++uqrr6zHG8ro0aPVpk0bSdLMmTOD2nfg0iHff/+9rrzySjVt2lRxcXFq3ry5rrnmGq1YsSKsfQIAGoYDY7Xbb79dbdq0UWxsrEaNGiVJ2r59u/76179qwIABgTgkMzNTZ511VqX4pkJRUZEee+wxHXfccUpPT1ejRo3Utm1bXXrppfr8888l7Ytlf/31V0nB77Y/8L31paWlevbZZ3XiiScqJSVFycnJOumkk/TKK6/IGFNp/xXbKC0t1SOPPKIOHTooPj5eF154oWt/DB06NCguqPDuu+8G2nZgXP3kk0/KcRz9/e9/D6Qd+D6mcI61wgcffKBTTjlFycnJysjI0JAhQ7R27VrX9h9o9uzZuuWWW9SlSxc1btxYiYmJ6tChg+655x5t3749qOywYcN0+umnS5L++c9/BrVx9OjRVY5HDtb3VXk30Ndff60BAwYoPT1dqamp6tevn+bPn1+p3MFeT3Hg30LhxFThxuo2GzZs0OOPP67evXurefPmiouLU25uruvfNfsvYffyyy+rS5cuSkxMVG5urkaMGFHpu6uwatUqDRkyRJmZmWrUqJF69Oihjz/+OKz2AgBQFcSQwYghiSErEEMCkcNMz3pk8+bNOvHEE1VeXq5evXppz549h7wE6+23366nn35aCQkJiYEGAAABAABJREFUOumkk5SVlaWFCxfqT3/6kz799FPNnDlTycnJVd5eSUmJ+vbtq19++UV9+/ZVaWmpvvzyS912221aunSpXnvttaDyy5YtU9++fVVQUKAOHTro4osv1urVqzVx4kRNnjxZEyZM0KWXXhoov2jRosCxn3TSSTrppJO0c+dO/fe//9Wzzz6rCy+80PVJqbPOOkvl5eWaO3eujj32WB133HGBvCOPPNJab8iQIbrrrrv05ptvasyYMZUGyQoKCjR16lTl5uaqb9++gfQffvhBZ555ptatW6e2bdvq7LPP1pYtWzRt2jRNmTJFb7zxhq644opA+Y8//ljnn3++HMdRz5491aNHD23btk0//vij/vKXv2jEiBFq1KjRQb+HoqIiDRw4ULNnz1ajRo106qmnKiUlRStXrtT48ePVvHlzderUKVB+xIgReumll5SQkKC+ffsqKSlJM2bM0H333afJkyfryy+/VGJiYqX9TJ48Wc8++6w6deqkAQMGaNmyZfrkk0/09ddfKy8vT7m5uZKkK6+8Un/729/0r3/9SzfeeGOl7SxZskTff/+9TjzxRLVr1y6QPmfOHJ1zzjkqLCzUMccco/PPP1/r1q3T+++/r08++UQff/xxIODa34oVK3TiiScqMzNTp59+urZt26bGjRtr6NCh+uyzz7Rx40YNGjQoZF/6/X5dfvnleuedd5SamqoTTzxRjRo10tdff60777xT06dP1+TJk+Xx7Hum5Ouvv1bfvn21e/duHXfccerQoYPy8vLUu3fvsF4Cftxxx2nQoEF67733lJOTo7POOiuQ16tXr8C/v/zyS5133nkqLi7WCSecoD59+uiHH37QG2+8oYkTJ+qTTz7RqaeeWuX9AgAajuLiYvXu3Vu//vqrevfurRNOOEGNGzeWJM2fP1+/+93v1LJlS7Vr107du3fX6tWrNWXKFE2ZMkUvv/yyrrvuusC2fD6f+vfvr3nz5qlFixbq06eP4uLitHbtWn300UdKTk7WgAEDlJubq6FDh+rdd99VUVGRhg4dGthGVlZW4N/7xy9ZWVnq1auXPB6PvvrqK11//fVasGBByAeo/H6/LrzwQs2aNUu9e/dWly5dlJmZ6doPffr00euvv67p06erd+/egfSKG08V/97/93hF3v7lD1TVY63w/PPP66mnnlK3bt101llnacGCBXrrrbe0cOFCffvttyHjr1DuvPNOLVmyRJ06dVLfvn1VUlKiRYsW6bHHHtNHH32k+fPnB+KeXr16KT8/X59//rnatm0bFGNUxMZViUek6vV9hXnz5mnEiBE68sgjNXDgQP3888/64osvNGvWLH300Ufq169flbYTSlVjqnBjdTcffvih7r77bh155JHq3LmzUlNT9fPPP2vixIn66KOP9NFHH6l///4h6951112BG7VnnXWW5s2bp5deeknLly8P3HCr8Msvv6hHjx7atGmT2rVrpxNOOEErV67UeeedFzLOBgCgJhBD7kUMSQwpEUMCEWcQNYYOHWokmYceeigoffr06UaSkWQuuugiU1xcXKlu7969jSSzcuXKSnkrV640kkzv3r2D0t9++20jyRx//PFB9UpLS81vf/tbI8nccccdVWp7xT4kmS5dupjNmzcH8n7++WfTrFkzI8l8+OGHgXS/3286d+5sJJl7773X+P3+QN4777xjPB6PSUlJMfn5+ZX66L333qvUhu+//96sX7/+oMf92muvhezng9Xr27evkWRmzZpVqc7f//53I8mMGjUqkFZeXm46depkJJlnn3026PgWLVpkMjMzTXJystm4cWMgvXfv3sZxHPPNN99U2sfXX39tCgsLQ7b5QMOHDzeSzOmnn24KCgqC8tauXRu0/XfffddIMs2bNzc//fRTIH3Hjh2mV69eRpK58847g7ZR8T14PB4zYcKEoGMeNGiQkWQefPDBoDpt27Y1juOYVatWVWrvnXfeaSSZsWPHBu0/NzfXxMbGmnfeeSeo/NSpU01cXJxp3ry5KSkpCaRXfLeSzC233GLKy8sr7cvtWjHGmMcee8xIMv369TObNm0KpO/atcucd955RpL529/+Fkj3+XymQ4cORpIZM2ZM0LYeeOCBQHts59uBbOff/u3Iyckxksy4ceOC8p5++mkjybRo0cLs2bOnSvsDADQM+8dq3bt3N9u2batU5r///a+ZO3dupfRFixaZ9PR0k5qaanbu3BlIr4hRL7jgAuPz+YLqbN++vVI807p1a+P258lNN91kJJmrr746aD+bNm0yJ598spFkPvroo6A6Fcd05JFHmrVr17r2wYHHGur37THHHGOOOuooExcXZ4YOHRpI9/l8Ji0tzWRlZQXFdBUx0fTp08M61op4JDk52Xz55ZeB9KKiItOjRw8jybzyyitVPp6PP/7YbN26NShtz549gZj+4YcfDsqr+O72P8b9HSweMebgfW/bx0MPPRSoe9999wX15/PPP28kmWbNmgX9zXOw+D1UfHewY6hOrO5m6dKl5ttvv62U/tlnn5m4uDjTtm3boH0Ys+88adq0qVm8eHEgffPmzebII480koLOD2OM6d+/v5FkRo4cGXTd/eMf/wj0q+17BQAgXMSQlY+VGJIYkhgSiCwGPaPIwQY94+Pjrb+IqzPoeeyxxxpJ5ocffqhUp7i42OTm5pr09PRKAUgo+wdBU6ZMqZQ/btw4I8n0798/kDZt2jQjybRp0ybk4NTFF19caSBp4MCBRlLIIMvWppoa9HzllVeMJDNixIhKdXr27GkkmQULFgTSJk6caCSZIUOGhNzP2LFjjSTz1FNPBdI6duxo0tPTD3psbtavX2+8Xq9JTEw0a9asOWj50047zRoULV261DiOY1JSUoIGFyvO1auuuqpSnYULF4bsvwcffDDkwKDf7zctW7Y0Xq/XbNiwIZD+zDPPBAbEQxk1alSlAfCK7zY7O9sUFRWFrOd2rZSVlZmsrCyTkpISNHBfIT8/38THx5vOnTsH0r788ksjybRr165SEFJWVmZatWpVo4Oer776qpFkTj311JD5Xbt2NZLMm2++WaX9AQAahv1jtf3jlaq6//77jSQzadKkQFrFA3TPPPNMlbbhdhNn48aNJjY21rRp0ybkgztLliwxksx5550XlF5xTAc+IFUVrVq1MvHx8YEbI5s3bzaO45hbb73V9OzZ07Ru3TpQ9ptvvjGSzKBBg4K2cag3rB544IFKee+9916N3XTYvXu3iYmJMSeccEJQek3esLL1/cFuWLVu3dqUlZVVqldxc3L/B+sOxw2r6sTq1XXllVcaSWbp0qVB6RXnycsvv1ypzlNPPVXpmH/++WcjyTRu3Njs2rWrUp2Km53csAIA1BRiyMqIIYkhiSGByOKdnvXICSecoObNm9fItjZt2qRvv/1WHTt2VPv27SvlJyQkqFu3btq+fbt++umnKm83IyMj5DICFVP6582bF1hLf/bs2ZKkwYMHy+v1Vqpz9dVXB5WTpK5du0qSrrnmGv3nP/+xvif0cBg0aJASEhL07rvvBr3XcfXq1Zo3b57atWunbt26BdIr3ltgex9AxbII+6/P3rVrV23fvl3Dhw8P+d7Nqpg+fbp8Pp/OPvtstWjRwrVsWVmZ5s+fL8dxQi670LlzZ3Xp0kU7d+7Ut99+Wyk/1PIKFcvT7v9+VWnvEreSNGHChKD02bNna82aNTrjjDMCy+FK1eu/CmeeeWa1ln5evHixCgoK1KtXr5DLh+Tk5Oioo45SXl6eiouLJe1dgleSLr300krLHsfExOiSSy4Jux1uKq6Hiv480FVXXRVUDgCA/TVt2jQoXjmQz+fTlClTNHr0aN14440aNmyYhg0bpunTp0tSUFx43HHHyePx6IknntBbb72lnTt3VrtdM2fOVFlZmc466yzFx8dXyj/22GOVkpIS8ve+4zg677zzwt5n7969VVJSEnj/z8yZM2WMUZ8+fdSnTx/9+uuvgff7VGVZsuoIJ5Y6mHXr1umFF17QqFGjdN1112nYsGG66aabFBcXF1Y8H47q9r20N7aOian8NpYhQ4ZI2hdjHS6HEmvalJSU6MMPP9T999+v3/72t4HrZ9myZZJk/R6qeh7MnTtXknT22WeHfAXJ5ZdfXuW2AgAQDmLIfYghDx0xZDBiSCA8vNOzHmnVqlWNbavixdjLly+vNFBzoIKCgpADo6G0bt06ZHpqaqrS09O1fft2FRYWKi0tTevXr5ck6wu5K9Irykl715qfM2eOJk+erMmTJystLU0nn3yyzj33XA0bNkwpKSlVamd1pKWl6ZxzztF7772nzz77LPDLecKECTLGVBqEqghwBg8erMGDB1u3W1BQEPj3o48+qmXLlunVV1/Vq6++qqysLPXo0UMXXnihrrjiipAB3IHWrFkjSWrbtu1By27ZskWlpaXKzc1VQkJCyDJHHHGEvv3226DvoUKoQdWKtf5LSkqC0tu3b6+uXbtq4cKFWrZsmTp37ixp3yCorf9OPvlk12PYv/8qVPdaqdjnp59+etDrYuvWrWrevHmgX2z7rMnrVlK1rhsAACq4/V5au3atzj333JAPOlXY/6ZUu3bt9MQTT+iee+7RkCFD5PV61alTJ5155pm69tprdcwxx1S5XRW/g8eNG6dx48ZZy1U8dLS/Jk2aVClGOlCfPn30xhtvaMaMGerTp49mzJghx3HUu3dvpaam6s9//nPgnUwVN6z69OkT9n7chBNLuXn66ad17733qrS0tMbaVhXV7XvJ/ndDbcUy1YnV3Sxbtkznn39+YLuh2G7qVvU8qO24EwCACsSQ+xBDHjpiyH2IIYHwMehZj9gGpQ4m1GxIn88nae+TWraXIVeo6oukD6ZihueBDja4tH9+amqqpk2bprlz52ry5MmaMWOGvvzyS02ZMkVjxozR7NmzqzTYV11XXnml3nvvPU2YMCFo0FNSpZmSFX08cOBANWnSxLrNDh06BP7dsmVLffPNN5o2bZo++ugjzZw5U5MnT9akSZP0+OOPa968eYEXxR/Mwfo13LKhyoSzD2lv/y1cuFATJkzQmDFjVFZWpnfffVeJiYm66KKLgspW9N+ll17qOmsz1KBoda+Vin0eddRR6tGjh2vZiuCs4rwOty8OVTjXDQAAFdx+R15//fX69ttvdfHFF+vuu+9W+/btlZKSIo/Ho5deekkjRoyoFM/ddtttuvTSS/XBBx9o6tSpmj17tp566ik988wzeu6553TzzTdXqV0Vv4OPP/54denSpcaOyU3FE/cVN6Nmzpypzp07KzMzUz179lRcXJxmzJiha665RnPmzFFmZqY6depUrX3Z1MTv6/nz5+v2229XWlqaXnrpJfXp00e5ubmBWKVZs2ZhP/FfVdXteze2vxncVGf1l+rE6jbGGF122WVatWqVbrzxRt144436zW9+o0aNGslxHN13330aM2ZMtf8e2n8/4ZQHAKCmEEPuQwx56Igh9yKGBKqHQc8GIi4uTpK0a9euSnkVM//2V/EkSG5ursaPH19j7Vi9enXI9MLCQu3YsUPJyclKTU2VtPeXpyStXLkyZJ2K2ahNmzYNSnccR7169QosF7B582b9/ve/15tvvqn77rtPb7/9do0cSyjnnHOO0tPTNWnSJO3atev/s3fncVGW+//H3yOboIAKCi64lPuaqSVaibuWS1numXq045Ydcyurc6LOSUtPatmJc+yYtmNWlpWaWGEaWa59U8vKXRNNU1BEULh/f/RjjiPMyD0MM9zwej4e8yju5bo/9z0z8Pa+7vu6dejQIX3//fe6+eabVb9+fYdl847x+PHj1a9fv0Jvw9/fXz169LB3Rh8+fFijR4/W559/rmeeeUbPPvusy/VjYmIkSb/88ss1txUREaHAwEClpqYqMzNTwcHB+ZZx9j64Y8iQIZoxY4beeustzZ49W59++qlOnz6twYMH57tLt1atWtq7d68ef/xx08HVXXnvWfPmzQv9vcj7HOcdp6s5+064y93vDQAArmRkZCgpKUlRUVF655138j16YP/+/U7XjYmJ0eTJkzV58mRdvnxZiYmJGj16tKZOnarhw4erUqVK19x+3t/guLg4zZ8/v0j7UljXX3+9YmJitHnzZh07dky7du3S5MmTJUnBwcFq166dkpOTtXPnTp09e1Z33XVXiTxRsHLlSknSP/7xD40cOdJhXmZmplJTU31R1jVdKzvlZR7J9b91pIL/vXMt7mb1gvz444/68ccf1bZt2wLvMnH1/THD27kTAIBrIUOSIb2NDGkeGRKlDc/0LCPyOjh++umnfPPWrVuXb1qtWrXUqFEj/d///Z/TzhN3nD59WuvXr883/e2335YkdejQwf6H/tZbb5UkLV++3H6VzJXeeOMNh+WcqVq1quLj4yXJPta5K3l/8C5fvnzNZQta95577tGFCxf0wQcf6M0335RU8PMVu3XrJkn64IMPTG/nSrVr19bDDz8sqXD7FxcXJz8/P61evVrHjh1zuWxAQIDat28vwzDs79GVdu3ape+++06hoaFq1aqVeztwherVq6tz5846fPiwvvrqK6dD20qeO35Xc/X+t2vXTuHh4friiy+Unp5eqPbyOt/fe++9fFdeXb58We+9957H6pP+933I++xdLW/6tb43AABcKS0tTbm5uapevXq+k1WXL1+2nxS5Fn9/f917771q166dsrOzHbKpq79xnTt3lp+fnz7++OMCc2FxyXsm07PPPivDMNS5c2f7vLxnMuVdCGVmWLKi5E2zzpw5I+l/F75dacWKFQVeGX6t+rxR/3vvvVfge52YmChJ6tixo32aq3/r7N27t8ATNdfaB09mzbz3oKAhxs6cOWN/9lNR5R2T1atXKyMjI9/8vGMHAIC3kCHJkGbmewIZ0jwyJEobOj3LiLyhFZ577jlduHDBPn39+vVauHBhges8/vjjysnJ0d13361du3blm79v3z698sorpmuZMWOGTp8+bf/5wIED+vvf/y5Jmjhxon16XFycWrRooQMHDuhvf/ubwx/TDz74QO+//74qVqyoUaNG2af/+9//LrCTds2aNZIKNwZ53tUte/fuNbdj/19eB92bb76pxMRE+fn5FTiG+z333KPGjRtr2bJlevbZZ3Xp0iWH+dnZ2Xr//fcdOjIXLFigEydO5Gtr7dq1kgq/f/fdd58yMzM1atQo/f777w7zf/31V23fvt3+c97VaE888YTDFUTnzp3TAw88IMMwNG7cOPsf/aLKO36LFy/WqlWrVKVKFfXq1SvfcuPGjVPVqlU1e/ZsLV26NF/YysjI0GuvvaajR4+a2r6r9z8oKEjTp0/X2bNndffddxd4BdT//d//OdxN3LlzZzVs2FA//vij/vnPfzos+49//MPpVVTOREZGKiAgQPv27SswxA0aNEhRUVHauHGjFi9e7DDvhRde0JYtW1SrVq18wwUDAOBKtWrVFB4erl27dumrr76yT8/JydHMmTMLPFHwxRdfaP369fmGhTp06JD9ufFX/gPe1d/gmjVratSoUfr55581YsSIAp+Bk5KSotWrV7u9jwXJy9Avv/yybDabbrvtNvu8vBNUL7/8ssPPhVHUvGlGw4YNJUlLlixxyJt79uyxXzhntr5r5RFPOHTokJ588kmHaYsXL9bXX3+t6OhohyzTrl07hYSEaM2aNdq2bZt9+m+//aYxY8YUODTZtfbBnazuTP369VWuXDl9/vnn+vnnn+3TL168qPHjx+fL4+6qX7++unbtqjNnzuiRRx5x2O+lS5cqJSXFI9sBAKCwyJBkyCuRIcmQgFcYsIyRI0cakownnnjCYfoXX3xhSDJGjhzpdN0LFy4YjRo1MiQZtWvXNu6++27jpptuMsqVK2dMnz7dkGR06tQp33ozZ840JBl+fn5G27ZtjYEDBxo9e/Y0GjdubEgyWrVqVajaDxw4YEgy2rdvb9x4441G5cqVjbvvvtvo27evERISYkgy7r333nzr/d///Z8RERFhSDKaNGliDB061OjYsaMhyfD39zfeeecdh+VbtWplSDKaNm1q3H333cbgwYONG264wZBkBAcHGykpKflqunq/MzMzjWrVqtnnjR492hgzZozx1VdfuVwvT25urlGrVi1DkiHJ6NWrl9Pj8sMPPxi1a9c2JBnVq1c3evbsaQwcONBo3769UalSJUOSsXLlSvvy4eHhRrly5YzWrVsbgwYNMgYOHGh/XyMjI41ffvnlGu/EH9LT043Y2FhDkhEaGmrcfvvtxqBBg4ybbrrJ8Pf3z/cZ+/Of/2w/hnfccYcxcOBAo2rVqvb3NCMjw2H5vM/qF198UeD2JRl16tQpcF5aWppRvnx5+/EbP3680/3YtGmTUaVKFXt7d9xxhzFgwACjbdu2RoUKFQxJxo4dO+zLL126tMDv0JXee+89Q5IRFhZm3HPPPcaYMWOMMWPG2Ofn5OQYQ4cONSQZQUFBRmxsrDF48GCja9euRr169QxJRv/+/R3aTElJMYKDgw1JRuvWrY2hQ4caLVq0MAICAoyxY8des6ar9e3b15BkNGvWzBgxYoQxZswY45VXXrHPX79+vX17bdq0MYYOHWq0bt3akGRUqFDB+PLLLwu9LQBA2XCtfGMYhvH000/bc2H37t2NwYMHG3Xr1jWCg4ONSZMm5ft7tmDBAkOSUbVqVaNXr17G8OHDjR49etj/zk+ZMsWh/eeee86QZERFRRlDhgwxxowZYzz88MP2+RkZGUbnzp3t+eXWW281Bg8ebHTq1MmoWbOmIcn4y1/+4tCmq8xRGD///LM9k1ydezMyMozAwEBDklGlShUjNzc33/rOMtG19rVTp06GJOPAgQP52izMe3WlU6dOGdHR0YYko169esagQYOMbt26GQEBAcbAgQONOnXqGAX9s7Bly5aGJKNdu3bGqFGjjDFjxhgffvihff618si1jr2zf8M88cQThiTj/vvvNwICAoxmzZoZQ4cONdq1a2dIMgICAow1a9bka+9vf/ubIckoX7680atXL6NXr15GpUqVjA4dOthz79XH81r7YDaru3L//fc75Ol77rnHiIqKMiIjI41Ro0YZkoylS5c6rOPsvXF1/H766Sd7Tm/UqJExdOhQo3379obNZjPGjx9/zX83AgBgBhmyYGRIMiQZEvAdOj0tpCidnoZhGEePHjWGDh1qVK5c2QgODjbatm1rrFix4pp/9D777DPjrrvuMqKjo42AgACjWrVqxo033mjMmDHD2LZtW6Fqv3IbZ8+eNSZOnGjUqFHDCAwMNBo1amT885//NC5fvlzguocOHTLuv/9+IyYmxggICDAiIyONO++80/jmm2/yLbtq1SrjT3/6k9GsWTOjUqVKRkhIiNGwYUPjz3/+s/Hzzz87relqW7ZsMbp3726Eh4cbNpvN4Q9IYULCjBkz7OHmtddec3lsfv/9dyM+Pt5o1aqVUaFCBSMkJMS4/vrrjX79+hlLly41zp07Z1/2tddeM4YNG2Y0atTICA0NNUJDQ42mTZsa06dPN3799VeX27naxYsXjQULFtg7CK88Vrt27cq3/GuvvWZ06NDBqFixolG+fHmjWbNmxtNPP21cuHAh37JF6fQ0DMMYOHCg/fhdq4Pu2LFjxrRp04zGjRsbwcHBRsWKFY2GDRsagwcPNpYvX25kZWXZly1Mp6dh/BGwmzZtagQFBdnruNq7775r9OrVy4iMjDQCAgKM6tWrG+3btzfi4+ONH3/8Md/yO3bsMHr37m1/37p06WJs2rSp0DVd6cSJE8aIESOM6Ohow8/Pr8Dv/65du4yhQ4caUVFR9vruvffeAmsDAKCwJ0FeffVVo3Xr1kZISIgRERFh9O/f3/juu+8K/Hv2888/G48//rjRsWNHo3r16kZgYKBRs2ZNo3v37gX+I//SpUvG448/blx//fVGQEBAgXnh0qVLxn//+1+jU6dORuXKlY3AwECjVq1axm233WbMnTvXOHLkiMPyRT1hZRiG/WK2q0+GGYZhvxjvzjvvLHBdZ5noWvvqyRNWhmEYR44cMYYNG2bUrFnTKF++vNGkSRNjzpw5xuXLl52eFPn555+NO++804iIiDDKlSuX7/29Vh4p6gmrpUuXGikpKUbXrl2N0NBQo2LFikbXrl3tFyJeLTc315g3b55Rv359IyAgwKhVq5Yxbdo0IyMjw+nxLEymMpPVXbl8+bLx3HPPGU2bNjXKly9vREVFGcOHDzcOHjzosM9XcueElWEYxr59+4xBgwYZlStXNkJCQoybb77Z+PDDDwv970YAAAqLDOkcGZIMSYYEfMNmGAUMwA142MGDB1WvXj116tRJycnJvi4HAAAAAAAAAAAApQjP9AQAAAAAAAAAAABgaXR6AgAAAAAAAAAAALA0Oj0BAAAAAAAAAAAAWBrP9AQAAAAAAAAAAABgadzpCQAAAAAAAAAAAMDS6PQEAAAAAAAAAAAAYGl0egIWMWrUKNlsNiUnJ5taLy4uTjabTQcPHiyWuorbwYMHZbPZFBcX5zB92bJlstlsio+P90ldAAAAVpKcnCybzaZRo0Y5TI+Pj5fNZtOyZct8UhcAACjdyCDmWP08Xklks9lUt25dX5eRj7fPbb799ttq06aNQkJC8h2Tffv26a677lJkZKTKlSvn1jlooKTw93UBQHGoW7euDh06pLLwyNqytK8AAAAAAAAAgMLbsmWL7r33XpUvX149evRQpUqVFBkZKUnKzc3VPffco507d6p9+/Zq0KCBypUrp+joaB9XDbiHTk/AIubMmaNHHnlEtWvX9nUpJcJdd92l9u3b2/9AAwAAwLwHHnhAQ4YMUfXq1X1dCgAAKEPIIPCWH374QQEBAb4uw6c++ugj5ebmatGiRfrTn/7kMO/gwYPauXOnbr31Vn355Zc+qhDwHDo9AYuoXr06QfAK4eHhCg8P93UZAAAAlhYZGclFZAAAwOvIIPCWxo0b+7oEnzt69Kgk6brrrjM1D7AinukJj7vyGYzp6emaNm2a6tWrp4CAAE2ZMkWSdPbsWS1atEg9e/ZUnTp1FBQUpIiICPXq1UtJSUkFtpuRkaFnn31WN9xwgypVqqSKFSvq+uuv18CBA/Xpp59K+t9zAg4dOiTpjzHb815Xj92enZ2t559/Xu3atVNoaKgqVKigm266SUuWLClwqNi8NrKzs/XUU0+pcePGCgoK0p133unyeIwcOVI2m00bNmxwmP7uu+/aa7t6nP5//vOfstls+te//mWfdvUzPc3sa54PPvhA7du3V4UKFVSlShUNHTrU/oetsK51HC5evKglS5aof//+uu666xQcHKxKlSrptttuU2JiotN2T506pXHjxik6OlohISFq3bq1XnvtNafLOxv33tWzD5w9H9QwDCUmJuq2225TdHS0ypcvr5iYGHXr1s3hPQAAAPCUa2Vmd/JyXrtDhw5VRESEKlasqA4dOuiTTz5xuryz52nVrVtXNputwHWcPZvr0qVL+s9//qObbrpJkZGRCgkJUd26ddWnTx+XORAAAHhHcZ2zy2vb6hnkk08+0Z/+9Cc1adJEYWFhqlChglq1aqXZs2crKysr3/JXnps6fPiwhg0bpqpVqyo4OFht27bVRx995HRbixcvVosWLVS+fHnVrFlTkydPVlpaWqFrzWP2/WrRooVsNpt+/PHHAttLTU2Vv7+/atWqpdzcXId5mzZt0l133aVq1aopKChIdevW1YMPPqjffvstXztXnsf89NNP1blzZ1WqVEk2m01nz56VJG3cuFEPPPCAWrZsqcqVKys4OFiNGzfWI488Yl/maoZhKCEhQc2bN1f58uVVq1YtTZkyRefOnXN6TrCgc6VXfpZ+//13TZgwQdWrV1dQUJCaN2+uV155peADLumdd95Ru3btFBwcrKioKI0ePVonTpzId+7WjJ9++kl33323IiIiVKFCBXXs2FGrV6/Ot5yz70Ceq2vI+4wuXbpUktS5c2f7+eO8eZ06dZIkvfrqq/Z5V587/f777zV8+HDVrFlTQUFBqlGjhkaPHl3g+dcrv9vffvut+vTpo4iICNlsNu3cudP0sQHM4k5PFJvMzEx16tRJhw4dUqdOnXTjjTeqcuXKkqTNmzfrwQcfVExMjBo2bKjY2FgdPnxY69at07p16/Tf//7X4Vb7nJwc9ejRQykpKapVq5bi4uIUGBioo0eP6uOPP1aFChXUs2dPRUdHa+TIkXr33XeVkZGhkSNH2tu48uqxjIwM9e7dWxs3blRkZKRuueUWlStXTl9//bXGjh2rLVu26N///ne+fcrNzdWdd96pL7/8Up06dVLLli0VERHh8jjExcXptdde0xdffGH/IyLJ4Q9gcnKywx+rvHlXLn+1wu5rnpdeeknPPfec2rZtq169emnLli1KTEzUtm3b9N133yk4ONjlflzJ1XE4ePCgxo4dq6ioKDVu3Fg33XSTUlNTlZKSoo0bN+rHH3/M11F5+vRpdezYUT/99JNq1aqlfv36KTU1VaNHj9b48eMLXZe7Zs2apWeffVahoaG65ZZbVKlSJR0/flzfffedfvnlF02aNKnYawAAAGWTs8xsNi9L0r59+9ShQwedPHlSDRs21I033qgDBw6ob9++XslUI0aM0PLlyxUZGakOHTooJCREx44d08aNG3X+/HkNGTKk2GsAAADX5slzdlLpySBjxoxRRkaGmjVrphYtWig9PV3ffvutHnvsMX322Wdat26d/Pz88q138OBBtWvXTuXLl9ctt9yiEydO6Ouvv9add96pNWvWqEePHg7LT58+Xc8995yCgoLUpUsXhYSE6M0339RXX32loKAgU/tu9v0aPny4Zs2apTfffFN///vf87WXmJionJwcDRs2TOXK/e9+qRdeeEFTpkxRuXLldNNNN6lmzZratWuXFi1apI8//lhfffVVgSPUvfXWW/rvf/+rtm3bqnfv3tq3b5+9U3vGjBnauXOnmjdvri5duigrK0vbt2/Xs88+q48//libN29WxYoVHdqbMmWKXnjhBQUFBalr164KDg7W66+/rpSUFPn7m+/qOHv2rGJjY5WWlqabbrpJ58+f15dffqkxY8YoNzdXY8eOdVh+4cKFeuihh+Tn56e4uDhFRkYqKSlJycnJatmypentS398f2666SZVqVJFPXr00K+//qqNGzeqT58+euWVV5x2cBZG/fr1NXLkSG3atEn79u2znz+/cl5qaqo+/fRTXX/99brlllskOd4d+95772nYsGHKzs5WmzZt1KFDB+3bt0/Lli3TRx99pA0bNqhZs2b5tv3ll1/qz3/+sxo2bGjfrys/U0CxMQAPO3DggCHJkGTExsYaZ86cybfM/v37ja+++irf9O3btxuVKlUywsLCjHPnztmnf/HFF4Yko3///kZOTo7DOmfPnjW2bt3qMK1OnTqGq4/3hAkTDEnGiBEjHLZz8uRJ4+abbzYkGR9//LHDOnn7VL9+fePo0aMuj8HV+yrJ6NSpk8P0Zs2aGQ0aNDACAwONkSNH2qfn5OQY4eHhRmRkpJGbm2ufPnLkSEOS8cUXX5ja106dOhmSjAoVKhifffaZfXpGRobRoUMHQ5KxZMmSQu/PtY7DqVOnjE8//TTf+7R//36jbt26Rrly5YwDBw44zPvzn/9sf38vXrxon7569WrD39+/wOO3dOlSQ5LxxBNPFLi/V2/DMP732byyrczMTCMoKMioW7eucfr0aYflL126ZGzYsMH5wQAAAHDTtTKz2bxsGIbRo0cPQ5IxceJEhyz28ssv27d1Ze40DMN44oknDEnG0qVLHaa7yph52fzKtvL2p127dkZmZqbD8hcuXDBSUlKcHAkAAOAtxXHOzjBKTwZZuXKlcf78eYdp6enpRp8+fQxJxquvvuowL+/clCRj8uTJxqVLl+zzFi5caEgybr31Vod1vvrqK0OSUaVKFWPXrl326adOnTJatmxpb6+g81oFMft+HTp0yLDZbMZ1111XYHvt2rUzJBk7d+60T/v666+NcuXKGXXq1DG+++47+/Tc3FzjqaeeMiQZ99xzj0M7eecxJRmJiYkFbuuTTz4xfv/9d4dpFy9etJ8nfPLJJx3mbdy40ZBkREZGGnv27LFP//333402bdo4PXaSjDp16jhMy/ssSTLuvvtuh/f9gw8+MCQZtWvXdlhn3759RmBgoFG+fHnjyy+/tE/PzMw07rjjDnt7V5+7debKz899993n8Pn56KOPDD8/P6NChQrGr7/+mq/uq79PeZydP3Y2/Vpt7t+/3wgJCTHCw8PznSN99dVX7d+9K+V9tyUZzz77rOuDABQDutZRrF544QVVqlQp3/R69eqpQ4cO+aa3bt1akyZNUnp6ur744gv79JMnT0r6467Jq68ICQ8PV5s2bQpd08mTJ/Xf//5X9erV08svv+xwxVDVqlX1n//8R5Ls/73anDlzVLNmzUJvr169eqpdu7Y2b96sixcvSvpjKNc9e/aoV69eateuncNdnzt27FBaWpo6derkdDgPdzz00EPq0qWL/eeQkBBNmzZNktx6SLWz4xAREaEePXrke5/q1aunxx57TLm5uQ7De5w/f16vv/66/P397Vdq5endu7cGDhxoujYz0tPTlZWVpVatWqlKlSoO8/z9/XXbbbcV6/YBAAAKysxm8/K+ffu0bt06Va5cWXPnznXIYmPHji2wLU/Ky+sdOnRQ+fLlHeYFBwcrNja2WLcPAADM8dQ5u9KUQe68805VqFDBYVpoaKgWLFggSfrwww8LXO+6667Tc88953Cn4aRJk+yjd2RnZ9un540sN23aNIe74yIiIjRv3rxC15rH7PtVu3Zt3XLLLdq/f782b97ssM4vv/yiLVu2qGnTpmrVqpV9+jPPPKPc3FwtXrzY4W5Gm82mxx9/XK1bt9b777+vU6dO5avjjjvu0ODBgwus/fbbb7ffYZwnKChICxculL+/f77jfeWxa9KkiX165cqV3Tp2khQWFqbFixc7vO/9+/dXixYtdPjwYYfhW1955RVlZ2dr5MiRuvXWW+3Ty5cvr+eff97tuxgrVqxo3+c8ffr00T333KOMjIx8Q0B70/PPP68LFy5o7ty5+c6R3nfffbrzzju1ZcsWbd++Pd+6zZs314wZM7xVKmDH8LYoNtWrV1fbtm2dzs/JydFnn32mlJQUpaam2jsEf/75Z4f/StINN9ygcuXKad68eYqOjtYdd9yh0NBQt+rasGGDLl26pF69ehU4ZESrVq0UGhqqLVu25Jtns9nUt29f09vs1KmTXn/9dW3evFlxcXHasGGDDMNQXFycwsLC9PTTT+vgwYOqW7duoYa2dcfVQ2lIUsOGDSVJx48fN9VWYY7Dpk2blJycrGPHjunixYsyDMO+nSvf2+3btyszM1MdO3ZU7dq187UzdOhQvf3226bqM6NatWqqVauWPvnkE82bN0/Dhw9XjRo1im17AAAAV3KVmc3k5a+++krSHyePrj5ZJ0lDhgxRSkqKp8u3a9y4sSpUqKClS5eqWbNmGjBgwDUfAwEAAHzDk+fsSlsG+fnnn7V69Wr98ssvysjIUG5urgzDsM8rSFxcnAICAhym+fv767rrrtO2bdt0+vRp+9CvmzZtkiQNGjQoXzs9evRQlSpV9Pvvv5uq2cz7Jf0xxO3GjRv11ltvqX379vbpb731liTp3nvvtU/Lzc3VZ599ptDQUHXt2jXftm02mzp27KgdO3Zo27Zt6tmzp8P8fv36uaz92LFj+uijj/Tjjz8qPT3d/hzRwMDAfHXnfY4KukGic+fOioiI0OnTp11u72pt27bNdxOE9Mc50++//17Hjx+3Pw/U1favv/56tW7dWtu2bTO1femP9/3qzl/pj3Oiy5cvt39mfCHvubD9+/cvcP4tt9yiDz74QFu2bNGNN97oMK9v374evaEHKCw6PVFsCurAynP06FH16dNH3333ndNlzp07Z///hg0bat68eXrkkUc0dOhQ+fn5qXnz5urWrZtGjx5d4LjhzuRdoZOQkKCEhASny2VmZuablvegbrPi4uL0+uuvKzk5WXFxcfaHTnfq1Mne6Zn3XM+8Ts+rHxhdVLVq1co3Le8u14Iexu6Kq+OQlpamAQMG6PPPP3e6/pXv7a+//irJ+efF1efIU1599VUNGTJEM2fO1MyZM1WvXj3ddtttGjZsWIGdxQAAAJ7iLOuYzcu+zlRhYWF6+eWX9ec//1l//vOfNW7cODVq1EidO3fWfffd53BCDQAA+JYnz9mVlgxiGIamT5+uBQsW2Ds5r3blfl+poHNuUsHn3X799VfZbDbFxMQUuE7t2rVNdXqafb+kPzrtHnzwQS1fvlwLFiywP6f07bffls1m09ChQ+3Lnj59WufPn5ekaz4zs6A7PV29//Pnz9esWbMc7oR1Je/YOTvetWvXNt3pafa9k+TyvXOn07NOnToFTs/rbM3bri/knUfPew6oM2bfe6A4Mbwtis3VQ0pcaezYsfruu+80YMAAffPNNzp79qxycnJkGIZ9WNmrA8bUqVO1b98+vfDCC7r99tt16NAhPffcc2rZsqX+9a9/FbqunJwcSX8M8zBy5Einr+HDh5vaJ1fy7trM69DcsGGDWrRooYiICHXs2FGBgYFKTk5Wbm6uNm3apIiICDVv3tytbTnjyStrXB2Hhx9+WJ9//rluu+02JScn69SpU7p8+bIMw9Cnn34qyfG9zft/b1z5k3e12NW6dOmiX375RW+++aZGjBihnJwcvfrqq+rZs6fTITgAAAA8wVmuMpuXS0KmGjp0qPbv36+XX35Z99xzj37//XclJCQoNjZWM2fOLPa6AABA4XjynF1pySDLly/X/PnzVbNmTb377rs6duyYsrOzZRiGvePLWWeoL+9mc+cca5UqVdSrVy+dPHlS69evl/THSGw//vijOnbsaO9sk/53HjU0NNTledSRI0cW2Hnn7LO2efNmTZs2TcHBwVq2bJkOHjxoHynOMAz7nbFmOHt/XHHnvXO2jjvbd8Wd9px9R9yVk5Mjm812zfe+oBuS3D2PDhQVd3rC6zIyMpSUlKSoqCi988479quJ8uzfv9/pujExMZo8ebImT56sy5cvKzExUaNHj9bUqVM1fPjwAp9FcLW8K3ji4uI0f/78Iu1LYV1//fWKiYnR5s2bdezYMe3atUuTJ0+W9MfzBfKe67lz506dPXtWd911l2Vv/1+5cqX8/Py0atUqhYeHO8wr6L3NG0r20KFDBbZ3+PBhU9sPDAyUJPtVaFc6cuSI0/XCwsI0bNgwDRs2TNIf4WvgwIF65513NGrUKPXu3dtUHQAAAO5yJy8XZ6bKu9I9j6tMVbVqVY0dO1Zjx461X/Q2ePBgzZs3T6NGjVLTpk1N1QEAALynLGeQlStXSvpjZLg+ffo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"text/plain": [ "
" ] @@ -226,7 +226,7 @@ ], "metadata": { "kernelspec": { - "display_name": "eis_toolkit_development_platform_eis_not_installed_py3.9", + "display_name": "eis_toolkit_development", "language": "python", "name": "python3" }, @@ -240,7 +240,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.18" + "version": "3.9.21" } }, "nbformat": 4, diff --git a/tests/training_data_tools/points_to_raster_test.py b/tests/training_data_tools/points_to_raster_test.py index b21c5868..f8d84bda 100644 --- a/tests/training_data_tools/points_to_raster_test.py +++ b/tests/training_data_tools/points_to_raster_test.py @@ -11,16 +11,16 @@ test_dir = Path(__file__).parent.parent PATH_LABELS_GPKG = test_dir.joinpath("data/remote/interpolating/interpolation_test_data_small.gpkg") -positives = gpd.read_file(PATH_LABELS_GPKG) +geodataframe = gpd.read_file(PATH_LABELS_GPKG) -@pytest.mark.parametrize("positives", [positives]) # Case where CRS matches -def test_points_to_raster(positives): +@pytest.mark.parametrize("geodataframe", [geodataframe]) # Case where CRS matches +def test_points_to_raster(geodataframe): """Test that points_to_raster function works as expected.""" with rasterio.open(SMALL_RASTER_PATH) as temp_raster: outarray, outmeta = points_to_raster( - positives=positives, attribute="value", template_raster=temp_raster, nodata_value=-999 + geodataframe=geodataframe, attribute="value", template_raster=temp_raster, nodata_value=-999 ) assert outarray.shape == ( @@ -29,12 +29,12 @@ def test_points_to_raster(positives): ), f"Expected output array shape {(temp_raster.height,temp_raster.width)} but got {outarray.shape}" -@pytest.mark.parametrize("positives", [positives.to_crs(epsg=4326)]) # Case where CRS do not matches -def test_non_matching_crs_error(positives): +@pytest.mark.parametrize("geodataframe", [geodataframe.to_crs(epsg=4326)]) # Case where CRS do not matches +def test_non_matching_crs_error(geodataframe): """Test that different crs raises NonMatchingCrsException.""" with pytest.raises(NonMatchingCrsException): with rasterio.open(SMALL_RASTER_PATH) as temp_raster: outarray, outmeta = points_to_raster( - positives=positives, attribute="value", template_raster=temp_raster, nodata_value=-999 + geodataframe=geodataframe, attribute="value", template_raster=temp_raster, nodata_value=-999 ) From b86be86d8cb7210a49e801e2a7fed976b00eb5f1 Mon Sep 17 00:00:00 2001 From: Omkar Date: Fri, 14 Feb 2025 18:55:56 +0100 Subject: [PATCH 11/15] Refactored the points_to_raster.py according to the requested changes --- .../training_data_tools/points_to_raster.py | 95 ++++++------------- notebooks/testing_points_to_raster.ipynb | 29 +++--- .../points_to_raster_test.py | 9 +- 3 files changed, 47 insertions(+), 86 deletions(-) diff --git a/eis_toolkit/training_data_tools/points_to_raster.py b/eis_toolkit/training_data_tools/points_to_raster.py index 5362e0e8..4f68cc71 100644 --- a/eis_toolkit/training_data_tools/points_to_raster.py +++ b/eis_toolkit/training_data_tools/points_to_raster.py @@ -2,16 +2,13 @@ import geopandas import numpy as np -import rasterio -from pyproj import CRS -import rasterio.transform +from rasterio import profiles, transform from beartype import beartype -from beartype.typing import Optional, Tuple +from beartype.typing import Optional, Tuple, Union from scipy.ndimage import binary_dilation +from eis_toolkit.utilities.checks.raster import check_raster_profile from eis_toolkit.exceptions import EmptyDataFrameException, NonMatchingCrsException -from eis_toolkit.raster_processing.create_constant_raster import create_constant_raster -from eis_toolkit.utilities.checks.raster import check_matching_crs def _get_kernel_size(radius: int) -> tuple[int, int]: @@ -81,20 +78,16 @@ def _create_buffer_around_labels( def _point_to_raster(raster_array, raster_meta, geodataframe, attribute, radius, buffer): - - geodataframe_crs = geodataframe.crs - raster_crs = raster_meta["crs"].to_epsg() + + width = raster_meta.get("width") + height = raster_meta.get("height") - if(geodataframe_crs != raster_crs): - raise NonMatchingCrsException("The input GeoDataFrame and raster are not in the same CRS.") - - width = raster_meta["width"] - height = raster_meta["height"] + raster_transform = raster_meta.get("transform") - left = raster_meta["transform"][2] - top = raster_meta["transform"][5] - right = left + width * raster_meta["transform"][0] - bottom = top + height * raster_meta["transform"][4] + left = raster_transform[2] + top = raster_transform[5] + right = left + width * raster_transform[0] + bottom = top + height * raster_transform[4] geodataframe = geodataframe.cx[left:right, bottom:top] @@ -103,8 +96,8 @@ def _point_to_raster(raster_array, raster_meta, geodataframe, attribute, radius, else: values = [1] - positives_rows, positives_cols = rasterio.transform.rowcol( - raster_meta["transform"], geodataframe.geometry.x, geodataframe.geometry.y + positives_rows, positives_cols = transform.rowcol( + raster_transform, geodataframe.geometry.x, geodataframe.geometry.y ) raster_array[positives_rows, positives_cols] = values @@ -114,36 +107,20 @@ def _point_to_raster(raster_array, raster_meta, geodataframe, attribute, radius, for target_value in unique_values: raster_array = _create_buffer_around_labels(raster_array, radius, target_value, buffer) - return raster_array, raster_meta + return raster_array @beartype def points_to_raster( geodataframe: geopandas.GeoDataFrame, + raster_profile: Union[profiles.Profile, dict], attribute: Optional[str] = None, radius: Optional[int] = None, buffer: Optional[str] = None, - template_raster: Optional[rasterio.io.DatasetReader] = None, - coord_west: Optional[Number] = None, - coord_north: Optional[Number] = None, - coord_east: Optional[Number] = None, - coord_south: Optional[Number] = None, - target_epsg: Optional[int] = None, - target_pixel_size: Optional[int] = None, - raster_width: Optional[int] = None, - raster_height: Optional[int] = None, - nodata_value: Optional[Number] = None, -) -> Tuple[np.ndarray, dict]: +) -> Tuple[np.ndarray, Union[profiles.Profile, dict]]: """Convert a point data set into a binary raster. Assigs attribute values if provided else 1 to pixels corresponding to the points and 0 elsewhere. - Provide 3 methods for raster creation: - 1. Set extent and coordinate system based on a template raster. - 2. Set extent from origin, based on the western and northern coordinates and the pixel size. - 3. Set extent from bounds, based on western, northern, eastern and southern points. - - Always provide values for height and width for the last two options, which correspond to - the desired number of pixels for rows and columns. Args: geodataframe: The geodataframe points set to be converted into raster. @@ -153,16 +130,6 @@ def points_to_raster( 'avg': performs averaging of the two attribute value 'min': minimum of the two attribute values 'max': maximum of the two attribute values - template_raster: An optional raster to use as a template for the output. - coord_west: The western coordinate of the output raster in [m]. - coord_east: The eastern coordinate of the output raster in [m]. - coord_south: The southern coordinate of the output raster in [m]. - coord_north: The northern coordinate of the output raster in [m]. - target_epsg: The EPSG code for the output raster. - target_pixel_size: The pixel size of the output raster. - raster_width: The width of the output raster. - raster_height: The height of the output raster. - nodata_value: The nodata value of the output raster. Returns: A tuple containing the output raster as a NumPy array and updated metadata. @@ -174,22 +141,20 @@ def points_to_raster( if geodataframe.empty: raise EmptyDataFrameException("Expected geodataframe to contain geometries.") + + if raster_profile.get("crs") != geodataframe.crs: + raise NonMatchingCrsException( + "Expected coordinate systems to match between raster and GeoDataFrame." + ) + + check_raster_profile(raster_profile=raster_profile) - base_value = 0 - raster_array, raster_meta = create_constant_raster( - base_value, - template_raster, - coord_west, - coord_north, - coord_east, - coord_south, - target_epsg, - target_pixel_size, - raster_width, - raster_height, - nodata_value, - ) + raster_width = raster_profile.get("width") + raster_height = raster_profile.get("height") + + raster_array = np.zeros((raster_height, raster_width)) + - raster_array, raster_meta = _point_to_raster(raster_array, raster_meta, geodataframe, attribute, radius, buffer) + out_array = _point_to_raster(raster_array, raster_profile, geodataframe, attribute, radius, buffer) - return raster_array, raster_meta + return out_array, raster_profile diff --git a/notebooks/testing_points_to_raster.ipynb b/notebooks/testing_points_to_raster.ipynb index 13158b97..4563713f 100644 --- a/notebooks/testing_points_to_raster.ipynb +++ b/notebooks/testing_points_to_raster.ipynb @@ -112,46 +112,41 @@ " radius = 3\n", " \n", " with rasterio.open(template_raster_path) as temp_raster:\n", + "\n", + " raster_profile = temp_raster.profile\n", " \n", " outarray,outmeta = points_to_raster(geodataframe=gdf,\n", - " template_raster=temp_raster,\n", - " nodata_value=-999)\n", + " raster_profile=raster_profile)\n", " \n", " outarray2,outmeta2 = points_to_raster(geodataframe=gdf,\n", " attribute=attribute,\n", - " template_raster=temp_raster,\n", - " nodata_value=-999)\n", + " raster_profile=raster_profile)\n", " \n", " outarray3,outmeta3 = points_to_raster(geodataframe=gdf,\n", - " template_raster=temp_raster,\n", - " radius=radius,\n", - " nodata_value=-999)\n", + " raster_profile=raster_profile,\n", + " radius=radius)\n", " \n", " outarray4,outmeta4 = points_to_raster(geodataframe=gdf,\n", - " template_raster=temp_raster,\n", + " raster_profile=raster_profile,\n", " attribute=attribute,\n", - " radius=radius,\n", - " nodata_value=-999)\n", + " radius=radius)\n", " \n", " outarray5,outmeta5 = points_to_raster(geodataframe=gdf,\n", - " template_raster=temp_raster,\n", + " raster_profile=raster_profile,\n", " attribute=attribute,\n", " radius=radius,\n", - " nodata_value=-999,\n", " buffer='avg')\n", " \n", " outarray6,outmeta6 = points_to_raster(geodataframe=gdf,\n", - " template_raster=temp_raster,\n", + " raster_profile=raster_profile,\n", " attribute=attribute,\n", " radius=radius,\n", - " nodata_value=-999,\n", " buffer='min')\n", " \n", " outarray7,outmeta7 = points_to_raster(geodataframe=gdf,\n", - " template_raster=temp_raster,\n", + " raster_profile=raster_profile,\n", " attribute=attribute,\n", " radius=radius,\n", - " nodata_value=-999,\n", " buffer='max')\n", "\n", " extent = [temp_raster.bounds.left, temp_raster.bounds.right,\n", @@ -226,7 +221,7 @@ ], "metadata": { "kernelspec": { - "display_name": "eis_toolkit_development", + "display_name": "eis_toolkit_development_env", "language": "python", "name": "python3" }, diff --git a/tests/training_data_tools/points_to_raster_test.py b/tests/training_data_tools/points_to_raster_test.py index f8d84bda..871a01d4 100644 --- a/tests/training_data_tools/points_to_raster_test.py +++ b/tests/training_data_tools/points_to_raster_test.py @@ -19,9 +19,10 @@ def test_points_to_raster(geodataframe): """Test that points_to_raster function works as expected.""" with rasterio.open(SMALL_RASTER_PATH) as temp_raster: + raster_profile = temp_raster.profile + outarray, outmeta = points_to_raster( - geodataframe=geodataframe, attribute="value", template_raster=temp_raster, nodata_value=-999 - ) + geodataframe=geodataframe, attribute="value", raster_profile=raster_profile) assert outarray.shape == ( temp_raster.height, @@ -35,6 +36,6 @@ def test_non_matching_crs_error(geodataframe): with pytest.raises(NonMatchingCrsException): with rasterio.open(SMALL_RASTER_PATH) as temp_raster: + raster_profile = temp_raster.profile outarray, outmeta = points_to_raster( - geodataframe=geodataframe, attribute="value", template_raster=temp_raster, nodata_value=-999 - ) + geodataframe=geodataframe, attribute="value", raster_profile=raster_profile) From 5bde0f1f5277ca6e69e31a37707520d8934bb279 Mon Sep 17 00:00:00 2001 From: Niko Aarnio <113038549+nmaarnio@users.noreply.github.com> Date: Tue, 18 Mar 2025 15:14:28 +0200 Subject: [PATCH 12/15] Delete .vscode/launch.json --- .vscode/launch.json | 15 --------------- 1 file changed, 15 deletions(-) delete mode 100644 .vscode/launch.json diff --git a/.vscode/launch.json b/.vscode/launch.json deleted file mode 100644 index 6b76b4fa..00000000 --- a/.vscode/launch.json +++ /dev/null @@ -1,15 +0,0 @@ -{ - // Use IntelliSense to learn about possible attributes. - // Hover to view descriptions of existing attributes. - // For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387 - "version": "0.2.0", - "configurations": [ - { - "name": "Python Debugger: Current File", - "type": "debugpy", - "request": "launch", - "program": "${file}", - "console": "integratedTerminal" - } - ] -} \ No newline at end of file From aff595f06c70ca2c5923d9c04bef33203d551ba9 Mon Sep 17 00:00:00 2001 From: Omkar Date: Thu, 20 Mar 2025 09:40:07 +0100 Subject: [PATCH 13/15] Added the Literal to points_to_raster --- .../training_data_tools/points_to_raster.py | 19 ++++++++---------- notebooks/testing_points_to_raster.ipynb | 20 +++++++++---------- 2 files changed, 18 insertions(+), 21 deletions(-) diff --git a/eis_toolkit/training_data_tools/points_to_raster.py b/eis_toolkit/training_data_tools/points_to_raster.py index 4f68cc71..1e5689ca 100644 --- a/eis_toolkit/training_data_tools/points_to_raster.py +++ b/eis_toolkit/training_data_tools/points_to_raster.py @@ -2,13 +2,13 @@ import geopandas import numpy as np -from rasterio import profiles, transform from beartype import beartype -from beartype.typing import Optional, Tuple, Union +from beartype.typing import Literal, Optional, Tuple, Union +from rasterio import profiles, transform from scipy.ndimage import binary_dilation -from eis_toolkit.utilities.checks.raster import check_raster_profile from eis_toolkit.exceptions import EmptyDataFrameException, NonMatchingCrsException +from eis_toolkit.utilities.checks.raster import check_raster_profile def _get_kernel_size(radius: int) -> tuple[int, int]: @@ -78,7 +78,7 @@ def _create_buffer_around_labels( def _point_to_raster(raster_array, raster_meta, geodataframe, attribute, radius, buffer): - + width = raster_meta.get("width") height = raster_meta.get("height") @@ -116,7 +116,7 @@ def points_to_raster( raster_profile: Union[profiles.Profile, dict], attribute: Optional[str] = None, radius: Optional[int] = None, - buffer: Optional[str] = None, + buffer: Optional[Literal["min", "avg", "max"]] = None, ) -> Tuple[np.ndarray, Union[profiles.Profile, dict]]: """Convert a point data set into a binary raster. @@ -141,19 +141,16 @@ def points_to_raster( if geodataframe.empty: raise EmptyDataFrameException("Expected geodataframe to contain geometries.") - + if raster_profile.get("crs") != geodataframe.crs: - raise NonMatchingCrsException( - "Expected coordinate systems to match between raster and GeoDataFrame." - ) - + raise NonMatchingCrsException("Expected coordinate systems to match between raster and GeoDataFrame.") + check_raster_profile(raster_profile=raster_profile) raster_width = raster_profile.get("width") raster_height = raster_profile.get("height") raster_array = np.zeros((raster_height, raster_width)) - out_array = _point_to_raster(raster_array, raster_profile, geodataframe, attribute, radius, buffer) diff --git a/notebooks/testing_points_to_raster.ipynb b/notebooks/testing_points_to_raster.ipynb index 4563713f..ffeddb61 100644 --- a/notebooks/testing_points_to_raster.ipynb +++ b/notebooks/testing_points_to_raster.ipynb @@ -51,16 +51,16 @@ " id value geometry\n", "0 1.0 10.0 POINT (384758.306 6671365.922)\n", "1 2.0 20.0 POINT (384769.919 6671362.194)\n", - "2 3.0 30.0 POINT (384769.059 6671350.58)\n", + "2 3.0 30.0 POINT (384769.059 6671350.580)\n", "3 4.0 40.0 POINT (384777.519 6671344.128)\n", - "4 5.0 35.0 POINT (384761.03 6671342.264)\n", + "4 5.0 35.0 POINT (384761.030 6671342.264)\n", "5 6.0 25.0 POINT (384758.306 6671355.025)\n", "6 7.0 50.0 POINT (384783.397 6671365.205)\n", "7 8.0 100.0 POINT (384795.584 6671358.179)\n", "8 9.0 120.0 POINT (384795.728 6671344.988)\n", "9 11.0 79.0 POINT (384786.408 6671335.955)\n", "10 12.0 60.0 POINT (384780.243 6671327.783)\n", - "11 13.0 50.0 POINT (384771.497 6671320.04)\n", + "11 13.0 50.0 POINT (384771.497 6671320.040)\n", "12 NaN 40.0 POINT (384791.797 6671314.259)\n", "13 NaN 30.0 POINT (384799.487 6671303.044)\n", "14 NaN 20.0 POINT (384808.459 6671290.707)\n", @@ -75,15 +75,15 @@ "23 NaN 45.0 POINT (384768.084 6671297.917)\n", "24 NaN 50.0 POINT (384762.637 6671305.608)\n", "25 NaN 55.0 POINT (384759.913 6671316.182)\n", - "26 NaN 60.0 POINT (384749.82 6671310.414)\n", - "27 NaN 65.0 POINT (384750.941 6671299.84)\n", + "26 NaN 60.0 POINT (384749.820 6671310.414)\n", + "27 NaN 65.0 POINT (384750.941 6671299.840)\n", "28 NaN 40.0 POINT (384753.665 6671287.343)\n", "29 NaN 100.0 POINT (384815.028 6671333.325)\n", - "30 NaN 90.0 POINT (384801.41 6671331.723)\n", + "30 NaN 90.0 POINT (384801.410 6671331.723)\n", "31 NaN 70.0 POINT (384792.438 6671325.795)\n", "32 NaN 120.0 POINT (384812.144 6671349.828)\n", "33 NaN 100.0 POINT (384807.338 6671365.689)\n", - "34 NaN 80.0 POINT (384796.443 6671373.38)\n", + "34 NaN 80.0 POINT (384796.443 6671373.380)\n", "35 NaN 30.0 POINT (384778.499 6671375.623)\n" ] } @@ -205,7 +205,7 @@ "outputs": [ { "data": { - "image/png": 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" ] @@ -221,7 +221,7 @@ ], "metadata": { "kernelspec": { - "display_name": "eis_toolkit_development_env", + "display_name": "eis_toolkit_development_platform_eis_not_installed_py3.9", "language": "python", "name": "python3" }, @@ -235,7 +235,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.21" + "version": "3.9.18" } }, "nbformat": 4, From 492d517f8ccb8da6d24b77d66f8c3b6d427f0ca7 Mon Sep 17 00:00:00 2001 From: Omkar Date: Thu, 20 Mar 2025 11:03:17 +0100 Subject: [PATCH 14/15] fixed the problem with random_sampling_test.py --- .../training_data_tools/random_sampling.py | 2 +- notebooks/testing_random_sampling.ipynb | 78 ++++++++++++++----- .../random_sampling_test.py | 11 ++- 3 files changed, 66 insertions(+), 25 deletions(-) diff --git a/eis_toolkit/training_data_tools/random_sampling.py b/eis_toolkit/training_data_tools/random_sampling.py index 3db067bb..82114d56 100644 --- a/eis_toolkit/training_data_tools/random_sampling.py +++ b/eis_toolkit/training_data_tools/random_sampling.py @@ -36,7 +36,7 @@ def generate_negatives( raster_meta: Union[profiles.Profile, dict], sample_number: Number, random_seed: int = 48, -) -> Tuple[gpd.GeoDataFrame, np.ndarray, dict]: +) -> Tuple[gpd.GeoDataFrame, np.ndarray, Union[profiles.Profile, dict]]: """Generate probable negatives from raster array with marked positives. Args: diff --git a/notebooks/testing_random_sampling.ipynb b/notebooks/testing_random_sampling.ipynb index f263df73..64d7f5be 100644 --- a/notebooks/testing_random_sampling.ipynb +++ b/notebooks/testing_random_sampling.ipynb @@ -35,9 +35,53 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " id value geometry\n", + "0 1.0 10.0 POINT (384758.306 6671365.922)\n", + "1 2.0 20.0 POINT (384769.919 6671362.194)\n", + "2 3.0 30.0 POINT (384769.059 6671350.580)\n", + "3 4.0 40.0 POINT (384777.519 6671344.128)\n", + "4 5.0 35.0 POINT (384761.030 6671342.264)\n", + "5 6.0 25.0 POINT (384758.306 6671355.025)\n", + "6 7.0 50.0 POINT (384783.397 6671365.205)\n", + "7 8.0 100.0 POINT (384795.584 6671358.179)\n", + "8 9.0 120.0 POINT (384795.728 6671344.988)\n", + "9 11.0 79.0 POINT (384786.408 6671335.955)\n", + "10 12.0 60.0 POINT (384780.243 6671327.783)\n", + "11 13.0 50.0 POINT (384771.497 6671320.040)\n", + "12 NaN 40.0 POINT (384791.797 6671314.259)\n", + "13 NaN 30.0 POINT (384799.487 6671303.044)\n", + "14 NaN 20.0 POINT (384808.459 6671290.707)\n", + "15 NaN 30.0 POINT (384787.791 6671295.033)\n", + "16 NaN 30.0 POINT (384815.509 6671310.254)\n", + "17 NaN 20.0 POINT (384826.244 6671297.436)\n", + "18 NaN 15.0 POINT (384825.763 6671287.503)\n", + "19 NaN 10.0 POINT (384815.349 6671280.453)\n", + "20 NaN 13.0 POINT (384797.404 6671281.895)\n", + "21 NaN 32.0 POINT (384779.941 6671288.785)\n", + "22 NaN 35.0 POINT (384765.521 6671282.216)\n", + "23 NaN 45.0 POINT (384768.084 6671297.917)\n", + "24 NaN 50.0 POINT (384762.637 6671305.608)\n", + "25 NaN 55.0 POINT (384759.913 6671316.182)\n", + "26 NaN 60.0 POINT (384749.820 6671310.414)\n", + "27 NaN 65.0 POINT (384750.941 6671299.840)\n", + "28 NaN 40.0 POINT (384753.665 6671287.343)\n", + "29 NaN 100.0 POINT (384815.028 6671333.325)\n", + "30 NaN 90.0 POINT (384801.410 6671331.723)\n", + "31 NaN 70.0 POINT (384792.438 6671325.795)\n", + "32 NaN 120.0 POINT (384812.144 6671349.828)\n", + "33 NaN 100.0 POINT (384807.338 6671365.689)\n", + "34 NaN 80.0 POINT (384796.443 6671373.380)\n", + "35 NaN 30.0 POINT (384778.499 6671375.623)\n" + ] + } + ], "source": [ "gdf = gpd.read_file(PATH_LABELS_GPKG)\n", "print(gdf)" @@ -45,23 +89,23 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "def plot_samples(template_raster_path):\n", " \n", " with rasterio.open(template_raster_path) as temp_raster:\n", + " raster_profile = temp_raster.profile\n", " \n", - " outarray,outmeta = points_to_raster(positives=gdf,\n", - " template_raster=temp_raster,\n", - " nodata_value=-999)\n", + " outarray,outmeta = points_to_raster(geodataframe=gdf,\n", + " raster_profile=raster_profile)\n", " \n", " sampled_negatives, outarray2, _ = generate_negatives(raster_array=outarray,\n", " raster_meta=outmeta,\n", " sample_number=10,\n", " random_seed=30)\n", - " \n", + "\n", " extent = [temp_raster.bounds.left, temp_raster.bounds.right,\n", " temp_raster.bounds.bottom, temp_raster.bounds.top]\n", "\n", @@ -96,20 +140,18 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 5, "metadata": {}, "outputs": [ { - "ename": "NameError", - "evalue": "name 'gdf' is not defined", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[1;32mIn[4], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m \u001b[43mplot_samples\u001b[49m\u001b[43m(\u001b[49m\u001b[43mSMALL_RASTER_PATH\u001b[49m\u001b[43m)\u001b[49m\n", - "Cell \u001b[1;32mIn[3], line 5\u001b[0m, in \u001b[0;36mplot_samples\u001b[1;34m(template_raster_path)\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mplot_samples\u001b[39m(template_raster_path):\n\u001b[0;32m 3\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m rasterio\u001b[38;5;241m.\u001b[39mopen(template_raster_path) \u001b[38;5;28;01mas\u001b[39;00m temp_raster:\n\u001b[1;32m----> 5\u001b[0m outarray,outmeta \u001b[38;5;241m=\u001b[39m points_to_raster(positives\u001b[38;5;241m=\u001b[39m\u001b[43mgdf\u001b[49m,\n\u001b[0;32m 6\u001b[0m template_raster\u001b[38;5;241m=\u001b[39mtemp_raster,\n\u001b[0;32m 7\u001b[0m nodata_value\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m999\u001b[39m)\n\u001b[0;32m 9\u001b[0m sampled_negatives, outarray2, _ \u001b[38;5;241m=\u001b[39m generate_negatives(raster_array\u001b[38;5;241m=\u001b[39moutarray,\n\u001b[0;32m 10\u001b[0m raster_meta\u001b[38;5;241m=\u001b[39moutmeta,\n\u001b[0;32m 11\u001b[0m sample_number\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m10\u001b[39m,\n\u001b[0;32m 12\u001b[0m random_seed\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m30\u001b[39m)\n\u001b[0;32m 14\u001b[0m extent \u001b[38;5;241m=\u001b[39m [temp_raster\u001b[38;5;241m.\u001b[39mbounds\u001b[38;5;241m.\u001b[39mleft, temp_raster\u001b[38;5;241m.\u001b[39mbounds\u001b[38;5;241m.\u001b[39mright,\n\u001b[0;32m 15\u001b[0m temp_raster\u001b[38;5;241m.\u001b[39mbounds\u001b[38;5;241m.\u001b[39mbottom, temp_raster\u001b[38;5;241m.\u001b[39mbounds\u001b[38;5;241m.\u001b[39mtop]\n", - "\u001b[1;31mNameError\u001b[0m: name 'gdf' is not defined" - ] + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" } ], "source": [ diff --git a/tests/training_data_tools/random_sampling_test.py b/tests/training_data_tools/random_sampling_test.py index d221d0aa..c1a2da56 100644 --- a/tests/training_data_tools/random_sampling_test.py +++ b/tests/training_data_tools/random_sampling_test.py @@ -11,17 +11,16 @@ test_dir = Path(__file__).parent.parent PATH_LABELS_GPKG = test_dir.joinpath("data/remote/interpolating/interpolation_test_data_small.gpkg") -positives = gpd.read_file(PATH_LABELS_GPKG) +gdf = gpd.read_file(PATH_LABELS_GPKG) -@pytest.mark.parametrize("positives", [(positives)]) -def test_points_to_raster(positives): +@pytest.mark.parametrize("geodataframe", [gdf]) +def test_points_to_raster(geodataframe): """Test that generate_negatives function works as expected.""" with rasterio.open(SMALL_RASTER_PATH) as temp_raster: + raster_profile = temp_raster.profile - outarray, outmeta = points_to_raster( - positives=positives, attribute="value", template_raster=temp_raster, nodata_value=-999 - ) + outarray, outmeta = points_to_raster(geodataframe=gdf, attribute="value", raster_profile=raster_profile) sampled_negatives, outarray2, outmeta2 = generate_negatives( raster_array=outarray, raster_meta=outmeta, sample_number=10, random_seed=30 From 2727352cff69dd7e17f433572502d59d687c2621 Mon Sep 17 00:00:00 2001 From: Omkar Date: Thu, 20 Mar 2025 11:28:49 +0100 Subject: [PATCH 15/15] Added the required files --- docs/training_data_tools/points_to_raster.md | 3 +++ docs/training_data_tools/random_sampling.md | 3 +++ eis_toolkit/utilities/miscellaneous.py | 2 +- tests/training_data_tools/points_to_raster_test.py | 6 ++++-- 4 files changed, 11 insertions(+), 3 deletions(-) create mode 100644 docs/training_data_tools/points_to_raster.md create mode 100644 docs/training_data_tools/random_sampling.md diff --git a/docs/training_data_tools/points_to_raster.md b/docs/training_data_tools/points_to_raster.md new file mode 100644 index 00000000..5fccb9a5 --- /dev/null +++ b/docs/training_data_tools/points_to_raster.md @@ -0,0 +1,3 @@ +# Points to raster + +::: eis_toolkit.training_data_tools.points_to_raster diff --git a/docs/training_data_tools/random_sampling.md b/docs/training_data_tools/random_sampling.md new file mode 100644 index 00000000..83652052 --- /dev/null +++ b/docs/training_data_tools/random_sampling.md @@ -0,0 +1,3 @@ +# Random sampling + +::: eis_toolkit.training_data_tools.random_sampling \ No newline at end of file diff --git a/eis_toolkit/utilities/miscellaneous.py b/eis_toolkit/utilities/miscellaneous.py index 6c04f7d7..7e0fcb02 100644 --- a/eis_toolkit/utilities/miscellaneous.py +++ b/eis_toolkit/utilities/miscellaneous.py @@ -5,7 +5,7 @@ import pandas as pd from beartype import beartype from beartype.typing import Any, List, Optional, Sequence, Tuple, Union -#from osgeo import gdal +from osgeo import gdal from rasterio import transform from shapely.geometry import Point diff --git a/tests/training_data_tools/points_to_raster_test.py b/tests/training_data_tools/points_to_raster_test.py index 871a01d4..11a1b04d 100644 --- a/tests/training_data_tools/points_to_raster_test.py +++ b/tests/training_data_tools/points_to_raster_test.py @@ -22,7 +22,8 @@ def test_points_to_raster(geodataframe): raster_profile = temp_raster.profile outarray, outmeta = points_to_raster( - geodataframe=geodataframe, attribute="value", raster_profile=raster_profile) + geodataframe=geodataframe, attribute="value", raster_profile=raster_profile + ) assert outarray.shape == ( temp_raster.height, @@ -38,4 +39,5 @@ def test_non_matching_crs_error(geodataframe): with rasterio.open(SMALL_RASTER_PATH) as temp_raster: raster_profile = temp_raster.profile outarray, outmeta = points_to_raster( - geodataframe=geodataframe, attribute="value", raster_profile=raster_profile) + geodataframe=geodataframe, attribute="value", raster_profile=raster_profile + )