https://github.com/Wyverns010/Body-Keypoints-Detection.git

Original repo

quanhua92/human-pose-estimation-opencv

human-pose-estimation-opencv

Perform Human Pose Estimation in OpenCV Using OpenPose MobileNet

How to use current impl

• Test with image

python keypoints_detector.py

Things to Note:

• All images that being processed by the code are in images folder
• The keypoints for all the iamgesw processed are stored in keypoints.csv file

How to use

• Test with webcam

python openpose.py

• Test with image

python openpose.py --input image.jpg

• Use --thr to increase confidence threshold

python openpose.py --input image.jpg --thr 0.5

Notes(quanhua92, original author):

• I modified the OpenCV DNN Example to use the Tensorflow MobileNet Model, which is provided by ildoonet/tf-pose-estimation, instead of Caffe Model from CMU OpenPose. The original openpose.py from OpenCV example only uses Caffe Model which is more than 200MB while the Mobilenet is only 7MB.
• Basically, we need to change the cv.dnn.blobFromImage and use out = out[:, :19, :, :] to get only the first 19 rows in the out variable.