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
Project details
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-0.0.2b20201010.tar.gz
(8.2 kB
view hashes)
Built Distribution
Close
Hashes for rfconv-0.0.2b20201010-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 66ebcf016982bda77bfdc72b4357fc9583817ee9599b4a7c246f2fb5923d98c6 |
|
MD5 | f7e84a009b6b1d3d69c9f7ce9ab4c72f |
|
BLAKE2b-256 | 9634f6cc6bbd7f0171884743eb0647e40ff3abdf9e9794558842107e2f97892e |