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Hi!
I am curious if you were able to reproduce the paper results with this implementation? I just want to use pre-trained weights of this model on a downstream task and the performance of this mode…
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To save performance and mitigate model spazzing out
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### Have you completed your first issue?
- [X] I have completed my first issue
### Guidelines
- [X] I have read the guidelines
- [X] I have the link to my latest merged PR
### Latest Merged PR Lin…
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Thank for your excellent work!
I just exported the pytorch model to onnx model without nms, and used deploy/onnx_demo.py for detecting facial features in images. However I found that the results o…
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**Tasks:**
- Review all model files for potential performance optimizations.
- Refactor code to improve readability and remove redundancies.
- Fix any existing bugs in the model logic or structur…
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**Tasks:**
- Review all model files for potential performance optimizations.
- Refactor code to improve readability and remove redundancies.
- Fix any existing bugs in the model logic or structur…
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Perform hyperparameter tuning and benchmark the performance:
- We use grid or random search to perform the tuning (Note that gradient descent is more efficient but sub optimal you should ask the inst…
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hi,
I am experiencing two significant performance issues with the software, and I would appreciate your assistance in resolving them:
1.Slow Model Import Speed
When importing a 20MB 3D model …
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I’m trying to train the clinician model based on the provided code ,but the model seems to struggle with learning — the performance is significantly below the reported results, and it appears that th…
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The model is working fine for smaller DBs. But when there are multiple level of foreign key connections it seems to struggle
Why is it so, any reason?