lightweight_openpose
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murdockhou
A tensorflow implementation of Arxiv Paper "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose "(https://arxiv.org/abs/1811.12004)
Hi, I want to know if you have the pretrained model available with your code? I already tested the PyTorch version with its pre-trained model and I'm looking for the...
at end of file get_paf.py line 99: mask = np.logical_or.reduce((np.abs(paf_map[0, :, :]) > 0, np.abs(paf_map[0, :, :]) > 0)) is it: mask = np.logical_or.reduce((np.abs(paf_map[0, :, :]) > 0, np.abs(paf_map[1, :,...
And there is my code to get pb model: import tensorflow as tf #from create_tf_record import * from tensorflow.python.framework import graph_util def freeze_graph(input_checkpoint,output_graph): output_node_names = "pre_hmap" saver = tf.train.import_meta_graph(input_checkpoint +...
Hello I have 2 problems, but tried but couldn't fix them: 1: my teacher told me that pose estimation model use the CNN to predict keypoints but in source only...
the website always say "incorrect username pwd" even though the setup went well and the change of password does several times also went well. any alternative way to download the...
Hello, # view pairs with max OKSs as match ones, add to oks_all oks_all = np.concatenate((oks_all, np.max(oks, axis=1)), axis=0) # accumulate total num by max(gtN,pN) oks_num += np.max(oks.shape) is there...
https://github.com/murdockhou/lightweight_openpose/blob/af59865dddd255f0039ddc750eb6841f7a3188cf/src/pose_decode.py#L181 感觉这个地方不应该用compute_resized_coords里面的resize方法，直接乘个resizeFactor就行，否则会导致检出关键点往右下方偏，改了之后没有这个问题。
I add 5 refinestage in your net model, and trained it .but the performance is still poor.According to the chapter ,5 refinestage's performance is better than 1refinestage.
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A tensorflow implementation of Arxiv Paper "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose "(https://arxiv.org/abs/1811.12004)