Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper.
I have encountered an error while trying to val.py on coco val2017 :
1/ I run this :
python val.py --labels /content/lightweight-human-pose-estimation.pytorch/data/coco/annotations/person_keypoints_val2017.json --images-folder /content/lightweight-human-pose-estimation.pytorch/data/coco/val2017 --checkpoint-path /content/lightweight-human-pose-estimation.pytorch/checkpoint_iter_370000.pth
2/ after execution, I obtained this
TypeError: 'numpy.float64' object cannot be interpreted as an integer
I have encountered an error while trying to val.py on coco val2017 : 1/ I run this : python val.py --labels /content/lightweight-human-pose-estimation.pytorch/data/coco/annotations/person_keypoints_val2017.json --images-folder /content/lightweight-human-pose-estimation.pytorch/data/coco/val2017 --checkpoint-path /content/lightweight-human-pose-estimation.pytorch/checkpoint_iter_370000.pth
2/ after execution, I obtained this TypeError: 'numpy.float64' object cannot be interpreted as an integer