run quick start but error occur: `annotate.py: error: unrecognized arguments dataset.path=... dataset.name=... GPU_IDS=...`

[hanbit-o]

Hi, thank you for your impressive work.

I try to follow your instructions from installation to quick start for my video.

I completed the installation by following: Installation.

and... I try to do quick start with my video (adroit hammering task).

python script/annotate.py \
    dataset.path="/home/hanbit-o/code/NILS/video" \
    dataset.name="test" \
    GPU_IDS=[0] \
    PROC_PER_GPU=1 \
    embodiment_prompt_grounding_dino="the yellow robotic hand" \
    embodiment_prompt_clipseg="the yellow robotic hand"

but... an error occurs as below:

...
2025-03-31 19:09:29,116 - INFO - Retrieving objects in scene
2025-03-31 19:09:41,309 - INFO - High overlap classes: [{'name': 'hammer', 'color': 'bronze'}]
2025-03-31 19:09:41,309 - INFO - Detected the following objects in the scene: ['table', 'hammer', 'metal bar', 'wooden block', 'hand']
2025-03-31 19:09:43,824 - INFO - Labeling frames
2025-03-31 19:09:48,373 - INFO - Computing image embeddings for the provided images...
2025-03-31 19:09:48,497 - INFO - Image embeddings computed.
usage: annotate.py [-h] [--model MODEL] [--output OUTPUT] [--save_all] [--multirun MULTIRUN] [--key_dim KEY_DIM] [--value_dim VALUE_DIM] [--pix_feat_dim PIX_FEAT_DIM] [--disable_long_term] [--max_mid_term_frames MAX_MID_TERM_FRAMES] [--min_mid_term_frames MIN_MID_TERM_FRAMES] [--max_long_term_elements MAX_LONG_TERM_ELEMENTS] [--num_prototypes NUM_PROTOTYPES]
                   [--top_k TOP_K] [--mem_every MEM_EVERY] [--chunk_size CHUNK_SIZE] [--size SIZE] [--GROUNDING_DINO_CONFIG_PATH GROUNDING_DINO_CONFIG_PATH] [--GROUNDING_DINO_CHECKPOINT_PATH GROUNDING_DINO_CHECKPOINT_PATH] [--DINO_THRESHOLD DINO_THRESHOLD] [--DINO_NMS_THRESHOLD DINO_NMS_THRESHOLD] [--SAM_ENCODER_VERSION SAM_ENCODER_VERSION]
                   [--SAM_CHECKPOINT_PATH SAM_CHECKPOINT_PATH] [--MOBILE_SAM_CHECKPOINT_PATH MOBILE_SAM_CHECKPOINT_PATH] [--SAM_NUM_POINTS_PER_SIDE SAM_NUM_POINTS_PER_SIDE] [--resegment_whole_image RESEGMENT_WHOLE_IMAGE] [--SAM_NUM_POINTS_PER_BATCH SAM_NUM_POINTS_PER_BATCH] [--SAM_PRED_IOU_THRESHOLD SAM_PRED_IOU_THRESHOLD]
                   [--SAM_OVERLAP_THRESHOLD SAM_OVERLAP_THRESHOLD] [--img_path IMG_PATH] [--detection_every DETECTION_EVERY] [--num_voting_frames NUM_VOTING_FRAMES] [--rp_check_interval RP_CHECK_INTERVAL] [--temporal_setting TEMPORAL_SETTING] [--max_missed_detection_count MAX_MISSED_DETECTION_COUNT] [--max_num_objects MAX_NUM_OBJECTS] [--prompt PROMPT]
                   [--sam_variant SAM_VARIANT]
annotate.py: error: unrecognized arguments: dataset.path=/home/hanbit-o/code/NILS/video dataset.name=test GPU_IDS=[0] PROC_PER_GPU=1 embodiment_prompt_grounding_dino=the yellow robotic hand embodiment_prompt_clipseg=the yellow robotic hand
Process: 0 - Labeling Demonstrations:   0%|       

Do you have any advice to address this?