Pre-release
This release is a pre-release and may not be stable for production use.
RFConv
Rectified Convolution
Pretrained Model
| model | baseline | rectified |
|---|---|---|
| ResNet-50 | 76.66 | 77.10 |
| ResNet-101 | 78.13 | 78.74 |
| ResNeXt-50_32x4d | 78.17 | 78.48 |
| ResNeSt-50_2s8x | 78.73 | 79.38 |
Verify Models:
Prepare ImageNet dataset:
cd scripts/dataset/
# assuming you have downloaded the dataset in the current folder
python prepare_imagenet.py --download-dir ./
Test Model
# use resnest50 as an example
cd scripts/
python verify.py --model resnet50 --crop-size 224
1 maintainer
Release files for rfconv 0.0.2b20210128
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Source distribution (sdist)
| File | Size | Uploaded | |
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| rfconv-0.0.2b20210128.tar.gz | 8.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| rfconv-0.0.2b20210128-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 24.3 kB
Release files / rfconv-0.0.2b20210128.tar.gz
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Release files / rfconv-0.0.2b20210128-py3-none-any.whl
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