facebookresearch / facebookresearch/detectron2
pt model predict return different result
Open
- Dominant language
- Python
- Stars
- 34.7k
- Forks
- 7.9k
- PR merge metrics
- No merged PRs in 30d
Description
Hi
Since I trying to use git.trace to generate the maskrcnn with 152 resnet pt to deploy in the C++ env, I faced some issues. I load the converted pt file using torch.jit.load and make a prediction. The model return a turple with len = 5. The value are quite different from the detectron2 output. Am i doing anything wrong?
Contributor guide
Assessment
This issue has not been assessed yet.