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Open Pose(Detecting Human Body Skeleton) network(Only heatmap and vectormap). Not complete.

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jaekyu-sim/Open-Pose-Only-Heatmap-Vectormap

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Open-Pose-Only-Heatmap-Vectormap

Open Pose(Detecting Human Body Skeleton) network(Only heatmap and vectormap)

This project only could make vectormap and heatmap. So, I'll upload the project that could express the pose data applied the non-maxima suppression.

The Loss of this project is expressed here.

Heatmap_output1 Heatmap_output1

the left is heatmap loss and right is vectormap loss.

In my project, there are many python files.

1. For_parsing_mat_to_json.ipynb

this ipynb file makes .mat file to json file. When you download 'mpii_human_pose_dataset', there are annotation data. And the annotation data's format is .mat. So you convert this file format to json.

2. Image_resize.ipynb

this ipynb file makes image files to regular size(regular width x regular height). The reason why I make image files size regulary is for saving time. By making image file size regular, training time could be reduced. Because there are no time to resize image during training.

3. network.py and network.ipynb

this files are containing VGG-19 network.

4. Pose.ipynb

this ipynb file is for training. It contains class and util function to train.

Here is a output of this project. There are only vectormap and heatmap images.
input images

input_image

1. Heatmap images

Heatmap_output1 Heatmap_output2 Heatmap_output3 Heatmap_output4 Heatmap_output5 Heatmap_output6 Heatmap_output7 Heatmap_output8 Heatmap_output9 Heatmap_output10 Heatmap_output11

2. Vectormap images

Vectormap_output1 Vectormap_output2 Vectormap_output3 Vectormap_output4 Vectormap_output5 Vectormap_output6 Vectormap_output7 Vectormap_output8 Vectormap_output9 Vectormap_output10

Vectormap_output11

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Open Pose(Detecting Human Body Skeleton) network(Only heatmap and vectormap). Not complete.

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