Comments (1)
We evaluate our method on two datasets separately, i.e., we train it on the CMU hand and evaluate it on the CMU hand, and we train it on the Onehand10K and evaluate it on the Onehand10K.
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Related Issues (20)
- hand tightest bounding box? HOT 1
- CMU Panoptic file HOT 5
- What do mask1, mask2 and mask3 mean? HOT 1
- predict two hands from single picture HOT 5
- The results of other test images is error HOT 1
- Encounter segfault when running inference.py HOT 2
- ./CPM used in training? HOT 1
- src.augmentation missing
- model structure in code incompatible with in paper HOT 5
- Question about LM loss HOT 1
- Can the model predict hand boundary boxes on its own? HOT 2
- Can you provide the OneHand 10k dataset? HOT 1
- How to run the OneHand10K dataset
- demo output HOT 10
- mediapipe hand landmark detect HOT 1
- loss function HOT 1
- How to use NSRM in HR-Net HOT 6
- How to get 21 keypoints annotations after cropping the original image? HOT 2
- missing limb structure problems HOT 1
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