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-0.0.2b20210120.tar.gz
(8.2 kB
view details)
Built Distribution
File details
Details for the file rfconv-0.0.2b20210120.tar.gz.
File metadata
- Download URL: rfconv-0.0.2b20210120.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/4.56.0 CPython/3.7.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | ce8835055de9345074909e94e8261050f27168799293c7f30e040e5efeab19ba |
|
| MD5 | b1f0aff41a1edfd7ce64c9633de75f98 |
|
| BLAKE2b-256 | f9cf4aff6ca042ea2effd368f47d55aba45ac0e571e63d01f3e8924b41085357 |
File details
Details for the file rfconv-0.0.2b20210120-py3-none-any.whl.
File metadata
- Download URL: rfconv-0.0.2b20210120-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/4.56.0 CPython/3.7.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 5fe2ecced167c0813365a940fcf6b3b9535ddf8fac38d68cba5507221d647bcc |
|
| MD5 | e2571b641f4d3cc5d3c19f11f7c3cee0 |
|
| BLAKE2b-256 | 326c172a01cef5d364c5f1d28ece7cc6e750efd90a70f3156fa5ba4bd64b73aa |
