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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We at Jina are fans of the written word. And , if you are a beginner in neural search and OSS, what better than starting out with documentation and blogs ?
How to make a contribution?
Comment below this issue the topic you have in mind for writing a blog. The topic should revolve around - neural search/Jina/Jina-OSS etc. (basically about Jina)
What can it be about? It could be a tutorial or
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🚀 The feature
The trainable_backbone_layers parameter supported by all the Object Detection factory methods is not covered properly by unit-tests.
We should improve the coverage by testing the various permitted values of each model. One idea would be to test the number of trainable parameters for all possible values:
max_trainable=5
n_trainable_params = []
for trainable_-
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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