Datasets:
Size:
10K<n<100K
License:
test
Browse files- tomatotest.py +12 -8
tomatotest.py
CHANGED
@@ -29,7 +29,8 @@ class RGBSemanticDepthDataset(GeneratorBasedBuilder):
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features=Features({
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"left_rgb": datasets.Image(),
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"right_rgb": datasets.Image(),
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-
"
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"left_depth": datasets.Image(),
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"right_depth": datasets.Image(),
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})
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@@ -43,16 +44,18 @@ class RGBSemanticDepthDataset(GeneratorBasedBuilder):
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right_rgb = self._read_jpg(h5f['rgb_right'][:])
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left_depth = h5f['depth_left'][:].astype(np.float32)
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right_depth = h5f['depth_right'][:].astype(np.float32)
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-
return left_rgb, right_rgb, np.zeros((1,1)), left_depth, right_depth
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elif type_dataset == 'seg':
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-
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-
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else:
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right_rgb = self._read_jpg(h5f['rgb_right'][:])
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-
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left_depth = h5f['depth_left'][:].astype(np.float32)
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right_depth = h5f['depth_right'][:].astype(np.float32)
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-
return left_rgb, right_rgb,
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def _read_jpg(self, bytes_stream):
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return Image.open(io.BytesIO(bytes_stream))
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@@ -93,11 +96,12 @@ class RGBSemanticDepthDataset(GeneratorBasedBuilder):
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#print(path.split('/')[-1][:-3], all_splits[0])
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continue
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#print("added")
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-
left_rgb, right_rgb,
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yield path, {
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"left_rgb": left_rgb,
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"right_rgb": right_rgb,
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-
"
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"left_depth": left_depth,
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"right_depth": right_depth,
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}
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features=Features({
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"left_rgb": datasets.Image(),
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"right_rgb": datasets.Image(),
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+
"left_semantic": datasets.Image(),
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+
"left_instance": datasets.Image(),
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"left_depth": datasets.Image(),
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"right_depth": datasets.Image(),
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})
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right_rgb = self._read_jpg(h5f['rgb_right'][:])
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left_depth = h5f['depth_left'][:].astype(np.float32)
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right_depth = h5f['depth_right'][:].astype(np.float32)
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+
return left_rgb, right_rgb, np.zeros((1,1)), np.zeros((1,1)), left_depth, right_depth
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elif type_dataset == 'seg':
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+
left_semantic = h5f['seg_left'][:][:,:,2]
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+
left_instance = h5f['seg_left'][:][:,:,0] * 256 + h5f['seg_left'][:][:,:,1]
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+
return left_rgb, np.zeros((1,1)), left_semantic, left_instance, np.zeros((1,1)), np.zeros((1,1))
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else:
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right_rgb = self._read_jpg(h5f['rgb_right'][:])
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+
left_semantic = h5f['seg_left'][:][:,:,2]
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+
left_instance = h5f['seg_left'][:][:,:,0] * 256 + h5f['seg_left'][:][:,:,1]
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left_depth = h5f['depth_left'][:].astype(np.float32)
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right_depth = h5f['depth_right'][:].astype(np.float32)
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+
return left_rgb, right_rgb, left_semantic, left_instance, left_depth, right_depth
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def _read_jpg(self, bytes_stream):
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return Image.open(io.BytesIO(bytes_stream))
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#print(path.split('/')[-1][:-3], all_splits[0])
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continue
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#print("added")
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+
left_rgb, right_rgb, left_semantic, left_instance, left_depth, right_depth = self._h5_loader(file.read(), self.config.dataset_type)
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yield path, {
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"left_rgb": left_rgb,
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"right_rgb": right_rgb,
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+
"left_semantic": left_semantic,
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"left_instance": left_instance,
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"left_depth": left_depth,
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"right_depth": right_depth,
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}
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