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| #from annotator.dwpose import DWposeDetector | |
| from easy_dwpose import DWposeDetector | |
| from PIL import Image | |
| device = "cpu" | |
| dwpose = DWposeDetector(device=device) | |
| for n in range(1, 46): | |
| pil_image = Image.open("videos/dance2/frame ("+str(n)+").png").convert("RGB") | |
| #skeleton = dwpose(pil_image, output_type="np", include_hands=True, include_face=False) | |
| out_img, pose = dwpose(pil_image, include_hands=True, include_face=True) | |
| print(pose['bodies']) | |
| out_img.save('videos/dance'+str(n)+'.png') | |