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@@ -280,16 +280,28 @@ class LoadImagesAndLabels(Dataset): # for training/testing |
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def __init__(self, path, img_size=640, batch_size=16, augment=False, hyp=None, rect=False, image_weights=False, |
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cache_images=False, single_cls=False, stride=32, pad=0.0): |
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try: |
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path = str(Path(path)) # os-agnostic |
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parent = str(Path(path).parent) + os.sep |
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if os.path.isfile(path): # file |
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with open(path, 'r') as f: |
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f = f.read().splitlines() |
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f = [x.replace('./', parent) if x.startswith('./') else x for x in f] # local to global path |
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elif os.path.isdir(path): # folder |
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f = glob.iglob(path + os.sep + '*.*') |
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if type(path) is list: |
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# Multiple datasets handler |
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f = [] |
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for subpath in path: |
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with open(subpath, 'r') as t: |
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subpath = str(Path(subpath)) # os-agnostic |
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parent = str(Path(subpath).parent) + os.sep |
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t = t.read().splitlines() |
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t = [x.replace('./', parent) if x.startswith('./') else x for x in t] # local to global path |
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f += t |
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path = str(Path(path[0])) # from now on treat multiple datasets as single |
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else: |
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raise Exception('%s does not exist' % path) |
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path = str(Path(path)) # os-agnostic |
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parent = str(Path(path).parent) + os.sep |
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if os.path.isfile(path): # file |
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with open(path, 'r') as f: |
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f = f.read().splitlines() |
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f = [x.replace('./', parent) if x.startswith('./') else x for x in f] # local to global path |
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elif os.path.isdir(path): # folder |
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f = glob.iglob(path + os.sep + '*.*') |
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else: |
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raise Exception('%s does not exist' % path) |
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self.img_files = [x.replace('/', os.sep) for x in f if os.path.splitext(x)[-1].lower() in img_formats] |
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except: |
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raise Exception('Error loading data from %s. See %s' % (path, help_url)) |