Comments (2)
The visualization code is in evaluation.py
. You can add -ds
arguments at the evaluation stage to generate visualization results. For example, python3 evaluation.py -i ../runs/GU2Net/results/test_epoch067 -ds
.
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from yolo_universal_anatomical_landmark_detection.
Related Issues (13)
- Cannot train the model with SGD optimizer HOT 1
- Cannot run the code HOT 3
- [KeyError] Pandas raises KeyError when reading landmak from all.csv for hand dataset HOT 2
- 手部数据有问题 HOT 4
- [Previous line repeated 997 more times] RecursionError: maximum recursion depth exceeded HOT 3
- Can you please provide the dataset, and chest_label.zip is empty please provide a valid zip file. HOT 2
- The `chest_label.zip` is empty and can you provide me the dataset HOT 2
- Shared head Dataset link cannot download anymore HOT 1
- Performing Inference on an Image not included in the Dataset using the Pre-trained Model (best.pt) HOT 1
- Weakmethod object error using torch.save HOT 1
- Difference between GLN and GLN2 HOT 1
- The file of "all.csv" of hand can't downloads from the original website. HOT 2
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