Comments (3)
Hi,
I didn't upload the post-processing code so this seems the results of the old version:)
Someone asked me about this. Sorry these months I have no time to update this repo.
You could use this draft function instead of the one in the repo. I will update the repo as soon as possible.
Btw, it is better to use multigpu with small batch size (e.g. 2) to train the model. In my experiments this can bring better results.
from reltr.
Well, thanks alot! I am going to test with your code!
from reltr.
Related Issues (20)
- Model not getting trained on single GPU HOT 4
- Evaluation on VRD dataset HOT 1
- Inquiry about code behavior in relation to constraints of evaluation metrics HOT 1
- About training strategy HOT 1
- Can ur work train on VidOR? HOT 1
- Some questions about evaluation HOT 2
- RuntimeError: CUDA error: device-side assert triggered CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. For debugging consider passing CUDA_LAUNCH_BLOCKING=1. Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions. HOT 4
- About evaluate_rel_batch() function HOT 7
- name 'train_stats' is not defined HOT 2
- convert the reltr model to onnx forma
- about Predcls HOT 1
- Evaluation HOT 3
- checkpoint should be updated with enhanced version HOT 1
- Some misunderstanding about the heat map using to predict Relationship HOT 2
- Error during training in bbox.pyx : ValueError: Buffer dtype mismatch, expected 'DTYPE_t' but got 'double' HOT 1
- 请问如何将inference.py得到的场景图保存成一个json文件呢 HOT 1
- What happens when there are no relations in a sample? HOT 2
- When I was training data, I encountered an error HOT 1
- About OpenV6 HOT 3
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from reltr.