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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The new GrpcDataRuntime (https://github.com/jina-ai/jina/blob/master/jina/peapods/runtimes/grpc/__init__.py) does not support sharding at the moment. Thus a Flow should not specify this runtime and a sharded pod at the same time.
Right now this will not raise any error, but silently produce unexpected behavior. This is undesirable and the Flow should rather check this condition and raise an app
🚀 Feature
PyTorch now exposes torch.__version__ as a TorchVersion object, which allows for better version comparisons.
We might be able to simplify things like https://github.com/pytorch/vision/pull/4285/files#r692734821
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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