Computer vision
Computer vision is an interdisciplinary field that deals with how computers can be made to gain high-level understanding of digital images and videos.
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I figured out a way to get the (x,y,z) data points for each frame from one hand previously. but im not sure how to do that for the new holistic model that they released. I am trying to get the all landmark data points for both hands as well as parts of the chest and face. does anyone know how to extract the holistic landmark data/print it to a text file? or at least give me some directions as to h
Change tensor.data to tensor.detach() due to
pytorch/pytorch#6990 (comment)
tensor.detach() is more robust than tensor.data.
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Describe the bug
https://github.com/jina-ai/jina/blob/master/jina/resources/fluent.conf#L17
It does not work as expected. '${workspace_path}' will be created.
$ ls
'${workspace_path}' boot etc lib media opt root sbin sys usr
bin dev home lib64 mnt proc run srv
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Back when it was initially implemented in 2019, the LR scheduler in the segmentation reference scripts couldn't be implemented with native PyTorch schedulers, so we had to resort to LambdaLR
https://github.com/pytorch/vision/blob/9275cc61fb3c26ce15ced0199ad8b7540d48676c/references/segmentation/train.py#L136-L138
It might be that this is now available in PyTorch natively, and this can be simp
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System information (version)
Detailed description
When running cv2.seamlessClone() the error is a bit misleading when the incorrect image path is supplied. It doesn't make it obvious that the problem is in the path
Steps to reproduce