-
Download one of the following pretrained openpose models:
- COCO:
- MPI:
-
Place them in the models directory on the project root
The program can be executed either as an API or a Desktop app:
- Running the app in desktop mode:
python desktop.py --model ../models/pose_iter_440000.caffemodel --proto ../models/openpose_pose_coco.prototxt --frame ../pictures/person1.jpg --template ../pictures/person2.jpg --dataset COCO
- Running the app as an api:
python api.py --model ../models/pose_iter_440000.caffemodel --proto ../models/openpose_pose_coco.prototxt --dataset COCO
python desktop.py --model ../models/pose_iter_440000.caffemodel --proto ../models/openpose_pose_coco.prototxt --frame ../pictures/person4.jpg --template ../pictures/person2.jpg --dataset COCO
Comparison Result: [(0.9590177080589004, ['Neck', 'RShoulder']), (0.9550641368112371, ['Neck', 'LShoulder']), (0.9942131485173553, ['RShoulder', 'RElbow']), (0.9227181254350099, ['RElbow', 'RWrist']), (0.9178385863657164, ['LShoulder', 'LElbow']), (None, ['LElbow', 'LWrist']), (0.9036583588082726, ['Neck', 'RHip']), (0.9979523745279008, ['RHip', 'RKnee']), (0.6186889309822976, ['RKnee', 'RAnkle']), (0.9309666110041757, ['Neck', 'LHip']), (0.8557118698254541, ['LHip', 'LKnee']), (0.9083627223985159, ['LKnee', 'LAnkle']), (0.9892988574946624, ['Neck', 'Nose'])]
The comparison result gives a value between -1 and 1 specifying how similar a part of the pose is between the two images.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent