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Hi, thanks for sharing your implementation. I have a few of problems about the usage of the `Cube++ dataset`.
The `PNG` files provided in Cube++ are in 16-bits format. It seems that these images c…
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Nvidia DALI is currently probably the fastest data augmentation library all around, especially for jpeg's image as those can be directly decompressed on GPU.
All their augmentations are implemented…
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I see that you have validation turned off in your training script:
https://github.com/alibaba/ClickSEG/blob/d61a76b2c88c56106e97d505ce41d16aa2535021/isegm/engine/baseline_trainer.py#L125
Moreover,…
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Hi, thanks for your nice paper and codes!
I have a question after reading the paper, in the section "Effect of Number of Positives", the number of positives always contain one positive which is the …
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I have tried to train RegNet variants with strong augmentations, such as AutoAugment or CutMix.
But the performance can not be improved with them.
For example, I have reproduced the paper's resu…
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## 📚 Documentation
In your documentation, you include the speed of image augmentations.
As you support keypoints augmentations as well, I think you are missing a benchmark on that type of data spe…
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[Kornia](https://kornia.readthedocs.io/en/latest/index.html) offers great transforms for data augmentation. GDL could replace its in-house augmentations from [augmentation.py](https://github.com/NRCan…
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Hi,
I disabled color based data augmentations by commenting in saturation,hue and value. How to disable rest of the augmentation operations ?
Thanks in advance
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Error occurs when running `OMP_NUM_THREADS=1 python tools/train_net.py --config-file configs/SOLOv2/R50_3x.yaml --num-gpus 1 OUTPUT_DIR training_dir/SOLOv2_R50_3x`,
```
[12/18 14:54:44 d2.data.data…