Rectified Convolution
Project description
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
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
rfconv-0.0.2b20210227.tar.gz
(8.2 kB
view details)
Built Distribution
File details
Details for the file rfconv-0.0.2b20210227.tar.gz.
File metadata
- Download URL: rfconv-0.0.2b20210227.tar.gz
- Upload date:
- Size: 8.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/47.1.0 requests-toolbelt/0.9.1 tqdm/4.58.0 CPython/3.7.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | cc8afb3f1d7f46dd9a006807796318192d23235e1ff4782108f8269e559e88ad |
|
| MD5 | ef3beed58ae7b1f85f0b1dbf2a31562c |
|
| BLAKE2b-256 | 925fa2bd7829b42fcb5ff89340a529fe5762725639d11f919714700eba233a81 |
File details
Details for the file rfconv-0.0.2b20210227-py3-none-any.whl.
File metadata
- Download URL: rfconv-0.0.2b20210227-py3-none-any.whl
- Upload date:
- Size: 16.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/47.1.0 requests-toolbelt/0.9.1 tqdm/4.58.0 CPython/3.7.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 66a71696477d2412826125881ee5b2e90195651b4e022a9c2a779f1daee17e14 |
|
| MD5 | 6e0b660bfedad248a726862828a58f3e |
|
| BLAKE2b-256 | 14b0fd13658dc4f097a619b2a72c11d919b54970e4ec67c54518db6612c9253e |
