update
Browse files- create_shard.py +0 -8
- imagenet-r.py +15 -14
create_shard.py
DELETED
@@ -1,8 +0,0 @@
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'''
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把 imagenet-r.tar 改写成多个 tar shard
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'''
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import tarfile
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num_shard = 10
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imagenet-r.py
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@@ -17,10 +17,12 @@ _CITATION = """\
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"""
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_DESCRIPTION = """\
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"""
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_HOMEPAGE = "
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_URLs = {
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"imagenet-r": "./imagenet-r.tar",
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@@ -42,18 +44,14 @@ class ImageNet_R_Config(datasets.BuilderConfig):
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def list_subfolders_and_files(root_dir):
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for root, dirs, files in os.walk(root_dir):
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# 添加当前遍历到的目录路径
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# all_paths.append(root)
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# 遍历当前目录下的所有文件,添加文件路径
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for file in files:
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file_path = os.path.join(root, file)
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all_paths.append(file_path)
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# raise RuntimeError( len(all_paths) )
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return all_paths
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@@ -64,7 +62,7 @@ class ImageNet_R(datasets.GeneratorBasedBuilder):
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BUILDER_CONFIGS = [
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ImageNet_R_Config(
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name="test",
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description="test
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),
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]
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@@ -74,7 +72,7 @@ class ImageNet_R(datasets.GeneratorBasedBuilder):
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description=_DESCRIPTION,
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features=datasets.Features(
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{
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"image": datasets.
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"wnid": datasets.Value("string"),
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"class_name": datasets.Value("string"),
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}
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@@ -115,16 +113,19 @@ class ImageNet_R(datasets.GeneratorBasedBuilder):
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image_paths = list_subfolders_and_files(filepath)
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# raise RuntimeError( len(image_paths), image_paths[0], image_paths[-1] )
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for _id, image_path in enumerate(image_paths):
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if self.config.name == "test":
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img_style = image_path.split('/')[-1].split('_')[0] #
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wnid = image_path.split('/')[-2]
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class_name = wordnet[wnid]
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yield _id, {
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"image":
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# "label": imagenet_r_wnids.index(wnid),
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"wnid": wnid,
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"class_name": class_name,
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}
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"""
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_DESCRIPTION = """\
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ImageNet-R(endition) contains art, cartoons, deviantart, graffiti, embroidery, graphics, origami, paintings, patterns, plastic objects, plush objects, sculptures, sketches, tattoos, toys, and video game renditions of ImageNet classes.
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ImageNet-R has renditions of 200 ImageNet classes resulting in 30,000 images.
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"""
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_HOMEPAGE = "https://github.com/hendrycks/imagenet-r/"
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_URLs = {
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"imagenet-r": "./imagenet-r.tar",
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def list_subfolders_and_files(root_dir):
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# all images paths
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all_paths = []
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for root, dirs, files in os.walk(root_dir):
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for file in files:
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file_path = os.path.join(root, file)
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all_paths.append(file_path)
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# end for
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return all_paths
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BUILDER_CONFIGS = [
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ImageNet_R_Config(
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name="test",
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description="test-set of ImageNet-R",
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),
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]
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description=_DESCRIPTION,
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features=datasets.Features(
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{
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"image": datasets.Image(),
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"wnid": datasets.Value("string"),
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"class_name": datasets.Value("string"),
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}
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image_paths = list_subfolders_and_files(filepath)
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for _id, image_path in enumerate(image_paths):
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if self.config.name == "test":
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# img_style = image_path.split('/')[-1].split('_')[0] # [art]_0.jpg
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wnid = image_path.split('/')[-2]
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class_name = wordnet[wnid]
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yield _id, {
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"image": {
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"path": image_path,
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"bytes": open(image_path, "rb").read(),
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},
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# "label": imagenet_r_wnids.index(wnid),
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"wnid": wnid,
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"class_name": class_name,
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}
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