【YOLO】labeling第二次打开闪退解决方法

Mr_老冷

原文:https://www.daowuya.love/yolov8% ... %e6%96%b9%e6%a1%88/

报错1:

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Traceback (most recent call last):
File "C:\Users\daowuya\.conda\envs\labelimg\lib\site-packages\labelImg\labelImg.py", line 738, in file_item_double_clicked
self.load_file(filename)
File "C:\Users\daowuya\.conda\envs\labelimg\lib\site-packages\labelImg\labelImg.py", line 1111, in load_file
self.show_bounding_box_from_annotation_file(file_path)
File "C:\Users\daowuya\.conda\envs\labelimg\lib\site-packages\labelImg\labelImg.py", line 1144, in show_bounding_box_from_annotation_file
self.load_yolo_txt_by_filename(txt_path)
File "C:\Users\daowuya\.conda\envs\labelimg\lib\site-packages\labelImg\labelImg.py", line 1557, in load_yolo_txt_by_filename
t_yolo_parse_reader = YoloReader(txt_path, self.image)
File "C:\Users\daowuya\.conda\envs\labelimg\lib\site-packages\libs\yolo_io.py", line 101, in __init__
self.classes = classes_file.read().strip('\n').split('\n')
UnicodeDecodeError: 'gbk（或者utf-8）' codec can't decode byte 0x9e in position 18: illegal multibyte sequence

原因：
labelimg在每次更新classes后，我注意观察了下，即使你刚开始的classes.txt是utf-8编码的，但是在更新后都会变成ANSI编码的。
解决方式：
①打开现有的classes.txt，并另存为ANSI编码的。
②进入labelimg的源代码目录，定位到报错的文件位置

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C:\Users\daowuya\.conda\envs\labelimg\lib\site-packages\libs\yolo_io.py

报错的代码

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classes_file = open(self.class_list_path, 'r')
self.classes = classes_file.read().strip('\n').split('\n')

修改成以ANSI编码打开文件

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with open(self.class_list_path, 'r', encoding='ANSI') as classes_file:
        self.classes = classes_file.read().strip('\n').split('\n')

报错2

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Traceback (most recent call last):
File "C:\Users\daowuya\.conda\envs\labelimg\lib\site-packages\labelImg\labelImg.py", line 1376, in open_next_image
self.load_file(filename)
File "C:\Users\daowuya\.conda\envs\labelimg\lib\site-packages\labelImg\labelImg.py", line 1111, in load_file
self.show_bounding_box_from_annotation_file(file_path)
File "C:\Users\daowuya\.conda\envs\labelimg\lib\site-packages\labelImg\labelImg.py", line 1144, in show_bounding_box_from_annotation_file
self.load_yolo_txt_by_filename(txt_path)
File "C:\Users\daowuya\.conda\envs\labelimg\lib\site-packages\labelImg\labelImg.py", line 1557, in load_yolo_txt_by_filename
t_yolo_parse_reader = YoloReader(txt_path, self.image)
File "C:\Users\daowuya\.conda\envs\labelimg\lib\site-packages\libs\yolo_io.py", line 115, in __init__
self.parse_yolo_format()
File "C:\Users\daowuya\.conda\envs\labelimg\lib\site-packages\libs\yolo_io.py", line 146, in parse_yolo_format
label, x_min, y_min, x_max, y_max = self.yolo_line_to_shape(class_index, x_center, y_center, w, h)
File "C:\Users\daowuya\.conda\envs\labelimg\lib\site-packages\libs\yolo_io.py", line 128, in yolo_line_to_shape
label = self.classes[int(class_index)]
IndexError: list index out of range

原因：
这种情况正常打开查看标注情况是没有任何问题的，但是只要是修改或者增加了标注，此时再点击查看下一张图的标注情况就会发生闪退。这是因为在你更新数据后，classes.txt的数据会被重写，重写为上一张图里的所有class，所以一旦你的下一张图里原本标注的class不存在于classes.txt内，就会报“list index out of range”这种错误。
解决方式：
①定位到labelimg.py源码目录

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C:\Users\daowuya\.conda\envs\labelimg\Lib\site-packages\labelImg

②在源码目录新建data文件夹，再在data文件夹里新建 predefined_classes.txt，注：这个txt文件的编码需要保存为utf-8。
再将classes.txt里的所有内容都黏贴进去，保存即可！