Comments (2)
yinguobing
commented on August 27, 2024
Actually I didn't pay much attention to the NME computation. In the code the predictions are transformed back because the labels are of image dimensions. If the predictions won't be transformed, then we will have to transform the labels into the cropped image dimension.
from facial-landmark-detection-hrnet.
Sheepy0
commented on August 27, 2024
Great, this makes sense !
Also, at the moment, I think the NME computation is only being performed on a single image per batch, rather than on the entire batch.
Thanks for your quick response,
have a good day.
from facial-landmark-detection-hrnet.
Related Issues (20)
- edge TPU版本 HOT 14
- No access to the pretrained-model HOT 3
- 百度云盘没有下载到hrnet的模型 HOT 5
- Stability and accuracy HOT 1
- Checkpoints on Drive or Dropbox
- Model Training HOT 4
- Multi-face detection HOT 6
- how to create dataset? HOT 5
- need your help HOT 6
- pretrained weight model HOT 1
- how come can use tfrecord by face-mesh-generator? HOT 1
- Need Help
- Help to load HRNet model with OpenCV HOT 5
- asking about dataset creation HOT 3
- Training error HOT 4
- generate_mesh_dataset.py HOT 1
- 运行报错 HOT 16
- No module named 'face_detector.detector HOT 2
- WFLW数据集使用
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