Comments (2)
Due to the Model is 2D pose, So on same pose of various view should be hard for the model. And the training data set didn't cover all possible camera view. If you testing on camera view that have much different from training set it should be low on accurate.
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thanks a lot!
from human-falling-detect-tracks.
Related Issues (20)
- Trck
- st-gcn openpose HOT 2
- How to solve the problem of No module named ‘cv2’ HOT 1
- Pre-training model HOT 2
- I have a question, why "merge_pose - 0.3"?
- Skeleton keypoints do not exist HOT 1
- Issues in skeleton running main.py
- Multi-person action recognition HOT 1
- get the labels are all 0 from create_dataset_1.py.
- decisions for the 7 actions
- Is it possible to change detect model? HOT 5
- .
- Coffee_room_new-set(labelXscrw).pkl和Home_new-set(labelXscrw).pkl HOT 1
- How Do I Make a dataset
- valid_loader, train_loader_ = load_dataset() is written backwards( 写反了了吗)? HOT 2
- SPPE FastPose (AlphaPose) - resnet101 Lost HOT 2
- Pretrain drive Access is not available. HOT 4
- Pretrain drive Access is not available+1 HOT 1
- Pretrain drive Access is not available+2 HOT 1
- Google Drive Links Dead - Please Reupload! HOT 8
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