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License: MIT License
Input image data sources wrapped as TensorFlow Datasets
License: MIT License
frame_paths = glob(f'/globalwork/datasets/3DPW/imageFiles/courtyard_arguing_00/image_*.jpg')
batches_gpu, batches_cpu = tfinp.image_files(frame_paths, batch_size=64, prefetch_gpu=2, tee_cpu=True)
batch_gpu, batch_cpu = next(iter(zip(batches_gpu, batches_cpu)))
One batch is fetched
An error occurs
TypeError:
generator
yielded an element of shape (1920, 1080, 3) where an element of shape (1080, 1920, 3) was expected
The image_files
function passes [width, height]
on as imshape, which is used for output_shapes
with Dataset.from_generator
while cv2.imread
will return images as [height, width, channels]
. MeTRAbs seems to expect the input format as [height, width]
thus imshape
in image_files
should probably change.
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