Comments (1)
D-X-Y
commented on July 30, 2024
Yes, the prediction is reasonable while not that accurate. First, this is predicted by the regression model (much simpler than a heatmap-based model, please see metrics in our paper). Second, this pic is for demo, the image style and crop size are very different from the training data. If you expect an accurate results, you can try on 300W.
from landmark-detection.
Related Issues (20)
- Pretrained Model of SRT? HOT 3
- How to divide 300VW-Dataset into 3 categories HOT 1
- lk_target_loss return None, scale of batch_locs? How to set forward_max and fb_thresh? HOT 3
- [SAN/SBR] Problems in point_meta about apply_rotate . HOT 1
- Can someone share the paper SRT? HOT 1
- why dont normalized the network outputs to (0-1)? HOT 6
- Problem about training SBR with 300VW dataset HOT 1
- SRT inference HOT 8
- SBR using for our videos
- training failed in SRT heatmaps？ HOT 1
- SRT inference get wrong results HOT 6
- SBR inference on new video
- how to get arhuments of --face
- SRT inference on video HOT 2
- [Dataset issues] How to download "Synthetic-Face" dataset? HOT 2
- [feature request] SRT improve video inference
- [feature request] SRT inference on multiview images and videos
- ModuleNotFoundError: No module named 'xvision' HOT 3
- Confuse about "batch_interpolate_flow" function in SRT/lib/sbr/interpolate.py
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from landmark-detection.