Tylersuard commited on
Commit
09b6897
·
1 Parent(s): 8cc08a7

Update PathfinderX2.py

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Files changed (1) hide show
  1. PathfinderX2.py +4 -6
PathfinderX2.py CHANGED
@@ -78,8 +78,6 @@ class PathfinderX2(datasets.GeneratorBasedBuilder):
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  train_data = dl_manager.iter_archive(data_dirs["images"]), dl_manager.iter_archive(
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  data_dirs["annotations"]
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  )
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- val_data = dl_manager.iter_archive(data_dirs["images"]), dl_manager.iter_archive(data_dirs["annotations"])
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- test_data = dl_manager.iter_archive(data_dirs["images"]), dl_manager.iter_archive(data_dirs["annotations"])
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  return [
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  datasets.SplitGenerator(
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  name=datasets.Split.TRAIN,
@@ -109,11 +107,11 @@ class PathfinderX2(datasets.GeneratorBasedBuilder):
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  image_id2annot = {}
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  # loads the annotations for the split into RAM (less than 100 MB) to support streaming
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  for path_annot, file_annot in annotations:
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- if split in path_annot and path_annot.endswith(".png"):
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  image_id = os.path.basename(path_annot).split(".")[0]
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  image_id2annot[image_id] = (path_annot, file_annot.read())
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  for idx, (path_img, file_img) in enumerate(images):
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- if split in path_img and path_img.endswith(".png"):
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  image_id = os.path.basename(path_img).split(".")[0]
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  path_annot, bytes_annot = image_id2annot[image_id]
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  yield idx, {
@@ -125,11 +123,11 @@ class PathfinderX2(datasets.GeneratorBasedBuilder):
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  image_id2annot = {}
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  # loads the annotations for the split into RAM (less than 100 MB) to support streaming
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  for path_annot, file_annot in annotations:
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- if split in path_annot and path_annot.endswith(".png"):
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  image_id = os.path.basename(path_annot).split(".")[0]
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  image_id2annot[image_id] = (path_annot, file_annot.read())
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  for idx, (path_img, file_img) in enumerate(images):
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- if split in path_img and path_img.endswith(".png"):
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  image_id = os.path.basename(path_img).split(".")[0]
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  path_annot, bytes_annot = image_id2annot[image_id]
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  yield idx, {
 
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  train_data = dl_manager.iter_archive(data_dirs["images"]), dl_manager.iter_archive(
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  data_dirs["annotations"]
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  )
 
 
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  return [
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  datasets.SplitGenerator(
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  name=datasets.Split.TRAIN,
 
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  image_id2annot = {}
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  # loads the annotations for the split into RAM (less than 100 MB) to support streaming
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  for path_annot, file_annot in annotations:
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+ if path_annot.endswith(".png"):
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  image_id = os.path.basename(path_annot).split(".")[0]
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  image_id2annot[image_id] = (path_annot, file_annot.read())
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  for idx, (path_img, file_img) in enumerate(images):
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+ if path_img.endswith(".png"):
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  image_id = os.path.basename(path_img).split(".")[0]
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  path_annot, bytes_annot = image_id2annot[image_id]
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  yield idx, {
 
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  image_id2annot = {}
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  # loads the annotations for the split into RAM (less than 100 MB) to support streaming
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  for path_annot, file_annot in annotations:
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+ if path_annot.endswith(".png"):
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  image_id = os.path.basename(path_annot).split(".")[0]
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  image_id2annot[image_id] = (path_annot, file_annot.read())
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  for idx, (path_img, file_img) in enumerate(images):
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+ if path_img.endswith(".png"):
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  image_id = os.path.basename(path_img).split(".")[0]
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  path_annot, bytes_annot = image_id2annot[image_id]
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  yield idx, {