manuel-delverme
commited on
Commit
•
865ea05
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Parent(s):
5e7a56d
Upload folder using huggingface_hub
Browse files
annotations/test_annotations/mask.tar.gz
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:ca6c44dcb881406240292e6ca0bd8c6d8475e87f52e2990a640974be6d91f16f
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size 192553
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annotations/train_annotations/mask.tar.gz
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:09f01270005918df7155bc930067c8397befa8673ca7f7d45138753e21db526f
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size 1887261
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annotations/val_annotations/mask.tar.gz
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:a3a21a2e2ec75b2985dac1f4a9b1f10c4d197adaf409c681029fbb443750d28c
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size 200115
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test_repo.py
CHANGED
@@ -78,7 +78,7 @@ class PatchyImagenet(datasets.GeneratorBasedBuilder):
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"categories": datasets.Value("string"),
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"scores": datasets.Sequence(datasets.Value("float32")),
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"mask": datasets.Sequence(
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datasets.Array2D(shape=(224, 224), dtype="bool")
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),
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# "mask": datasets.Sequence(datasets.Image()),
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}
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@@ -133,8 +133,8 @@ class PatchyImagenet(datasets.GeneratorBasedBuilder):
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image_path = os.path.join(image_dir, "images", f"{split}_images", data["file_name"])
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sample_name, _extension = os.path.splitext(data["file_name"])
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mask_file = os.path.join(mask_dir, "masks", sample_name + ".npy")
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mask = np.load(mask_file).astype(bool)
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# breakpoint()
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pil_image = PIL.Image.open(image_path)
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yield key, {
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"categories": datasets.Value("string"),
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"scores": datasets.Sequence(datasets.Value("float32")),
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"mask": datasets.Sequence(
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datasets.Array2D(shape=(224 // 8, 224 // 8), dtype="bool")
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),
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# "mask": datasets.Sequence(datasets.Image()),
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}
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image_path = os.path.join(image_dir, "images", f"{split}_images", data["file_name"])
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sample_name, _extension = os.path.splitext(data["file_name"])
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mask_file = os.path.join(mask_dir, "masks", sample_name + ".npy")
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# mask = np.load(mask_file).astype(bool)
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mask = np.load(mask_file).astype(np.uint8)
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# breakpoint()
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pil_image = PIL.Image.open(image_path)
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yield key, {
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