Update cell_benchmark.py
Browse files- cell_benchmark.py +11 -15
cell_benchmark.py
CHANGED
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@@ -18,7 +18,9 @@ _SPLIT_URLS = {
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"train": _URL_BASE + "train.zip",
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"val": _URL_BASE + "val.zip",
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"test": _URL_BASE + "test.zip",
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"
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}
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@@ -41,16 +43,13 @@ class Cellsegmentation(datasets.GeneratorBasedBuilder):
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def _split_generators(self, dl_manager):
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data_files = dl_manager.download_and_extract(_SPLIT_URLS)
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#masks_dir = [os.path.dirname(path) for i, path in enumerate(dl_manager.iter_files([data_files["masks"]])) if i < 1][0]
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masks_dir = dl_manager.iter_files([data_files["masks"]])
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splits = [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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gen_kwargs={
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"files" : dl_manager.iter_files([data_files["train"]]),
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"
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"split": "training",
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},
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),
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@@ -58,7 +57,7 @@ class Cellsegmentation(datasets.GeneratorBasedBuilder):
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name=datasets.Split.VALIDATION,
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gen_kwargs={
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"files" : dl_manager.iter_files([data_files["val"]]),
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"
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"split": "validation",
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},
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),
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@@ -66,7 +65,7 @@ class Cellsegmentation(datasets.GeneratorBasedBuilder):
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name=datasets.Split.TEST,
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gen_kwargs={
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"files" : dl_manager.iter_files([data_files["test"]]),
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"
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"split": "test",
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}
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)
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@@ -74,14 +73,11 @@ class Cellsegmentation(datasets.GeneratorBasedBuilder):
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return splits
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def _generate_examples(self, files,
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for i, path in enumerate(files):
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file_name = "/mask_" + os.path.basename(path).replace("jpg", "png")
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yield i, {
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"image": path,
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"masks": masks_dir + file_name,
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"path": path,
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}
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"train": _URL_BASE + "train.zip",
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"val": _URL_BASE + "val.zip",
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"test": _URL_BASE + "test.zip",
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"masks_train": _URL_BASE + "masks/train.zip",
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"masks_val": _URL_BASE + "masks/val.zip",
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"masks_test": _URL_BASE + "masks/test.zip",
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}
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def _split_generators(self, dl_manager):
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data_files = dl_manager.download_and_extract(_SPLIT_URLS)
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splits = [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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gen_kwargs={
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"files" : dl_manager.iter_files([data_files["train"]]),
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"masks": dl_manager.iter_files([data_files["masks_train"]]),
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"split": "training",
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},
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),
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name=datasets.Split.VALIDATION,
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gen_kwargs={
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"files" : dl_manager.iter_files([data_files["val"]]),
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"masks": dl_manager.iter_files([data_files["masks_val"]]),
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"split": "validation",
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},
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),
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name=datasets.Split.TEST,
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gen_kwargs={
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"files" : dl_manager.iter_files([data_files["test"]]),
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"masks": dl_manager.iter_files([data_files["masks_test"]]),
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"split": "test",
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}
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)
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return splits
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def _generate_examples(self, files, masks, split):
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for i, path in enumerate(zip(files, masks)):
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yield i, {
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"image": path[0],
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"masks": path[1],
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"path": path,
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}
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