调试

app/yolov5/utils/dataloaders.py

@@ -428,11 +428,13 @@ class LoadImagesAndLabels(Dataset):
 
         # Check cache
         self.label_files = img2label_paths(self.im_files)  # labels
+        print('labelfile############',self.label_files)
         cache_path = (p if p.is_file() else Path(self.label_files[0]).parent).with_suffix('.cache')
         try:
             cache, exists = np.load(cache_path, allow_pickle=True).item(), True  # load dict
             assert cache['version'] == self.cache_version  # matches current version
             assert cache['hash'] == get_hash(self.label_files + self.im_files)  # identical hash
+            print('load_cache#########')
         except Exception:
             cache, exists = self.cache_labels(cache_path, prefix), False  # run cache ops
 
@@ -447,6 +449,7 @@ class LoadImagesAndLabels(Dataset):
 
         # Read cache
         [cache.pop(k) for k in ('hash', 'version', 'msgs')]  # remove items
+        print('@@@@@@@@@@@@@@@@@@@@@')
         labels, shapes, self.segments = zip(*cache.values())
         nl = len(np.concatenate(labels, 0))  # number of labels
         assert nl > 0 or not augment, f'{prefix}All labels empty in {cache_path}, can not start training. {HELP_URL}'