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The predicted symmetry correspondences is only random points not lines (numbers are too small they dont form a line). Meanwhile the graph and keypoints are predicted correctly. Why does that happen?
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Hello everyone,
I know that we extract 1000 corners at eight-scale levels. How are they calculated (for each level, how many)? and to compare keypoints (multiscale) between two frames?
Thanks
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Hi, I am new to pose. I want to use the pose to control a physical robot. Like to mimic the movement of a real person.
I can print out the cmap, paf, counts, objects and peak. May I know where I can …
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Hello WHAM Team,
I'm considering using the WHAM repository for a commercial project and I noticed that the repository is under the MIT License, which typically allows for such use. However, I have …
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the default value of keypoints is None, but make_kprpe_input will use the keypoints
extra_ctx = make_kprpe_input(keypoints, x, self.keypoint_linear, self.rpe_config, self.mask_ratio,
…
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Start from Line [#140](https://github.com/mkocabas/pose-residual-network/blob/749cba142e9e2581bb10710067f9e6d8ebbb7c96/src/evaluate.py#L140) in evaluation.py, it seems to me that you are using the gro…
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Just an idea
cc: @h-kamada
1. Define mask image in stochastic representation (defined in probability density function)
2. Extract keypoints as usual
3. sample points like RANSAC based detection but s…
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Hi, thanks for your sharing.
I got the trained model of chairs by running the following cmd:
python main.py --model_dir=/home/user1/code/keypoint-network/keypointnet_trained_model_chair --dset=/home…
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Thanks for your awesome work~
I conducted experiments with my own data with your provided code,
and find that when human legs in driving video overlap, the generated ones cannot determine which o…
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We need a function which tests a keypoint detector by trying it on all the data (train and test) and checking it finds an appropriate number of keypoints for all of them.