refactor/fix: 优化运行时异常处理、调整 nncase 导入时机及修复 YOLO11/路径兼容性问题#4
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app.py: 1.原来在app.py中。设置了sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding='utf-8')，为了及时捕获报错添加了write_through=True 2.对于模型的安装，发现问题：当设置模型为yolo11n，会显示安装但是无法安装成功，这是一个固件bug，考虑到YOLO11和YOLOv8 在目标检测上的网络输出结构、后处理算法都完全相同，所以85-93行将所有yolo11全部对应为yolov8n（建议之后修复这个固件问题） 3.由于c后端会由于无法解析python报错直接abord，所以添加了异常处理 4.PyQt的主线程异常导致0xC0000409强制退出，无法获取内部报错，在主程序中添加代码拦截主线程异常 confertor.py: 1.nncase的import时间不恰当，原来nncase在环境变量设置前就初始化，导致nncase无法使用原本在其初始化后才设置的环境变量 2.大型数据集进行校准数据量巨大，在gen函数中添加上限为100，因为校准并不需要大量的数据 3.如果yaml中包含./，会导致目录“.”被错误读取导致校准照片无法被成功读取，进行修复
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app.py:
1.原来在app.py中。设置了sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding='utf-8')，为了及时捕获报错添加了write_through=True
2.对于模型的安装，发现问题：当设置模型为yolo11n，会显示安装但是无法安装成功，这是一个固件bug，考虑到YOLO11和YOLOv8 在目标检测上的网络输出结构、后处理算法都完全相同，所以85-93行将所有yolo11全部对应为yolov8n（建议之后修复这个固件问题）
3.由于c后端会由于无法解析python报错直接abord，所以添加了异常处理
4.PyQt的主线程异常导致0xC0000409强制退出，无法获取内部报错，在主程序中添加代码拦截主线程异常
convertor.py:
1.nncase的import时间不恰当，原来nncase在环境变量设置前就初始化，导致nncase无法使用原本在其初始化后才设置的环境变量
2.大型数据集进行校准数据量巨大，在gen函数中添加上限为100，因为校准并不需要大量的数据
3.如果yaml中包含./，会导致目录“.”被错误读取导致校准照片无法被成功读取，进行修复