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-0.0.2b20210106.tar.gz
(8.2 kB
view hashes)
Built Distribution
Close
Hashes for rfconv-0.0.2b20210106-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 6df7c3df673f91ad2c91257f9f3f0fa1ddb38c0d9810363e5dc659a8f13eff47 |
|
MD5 | 652d3fa85405e1981600c5d32caef74c |
|
BLAKE2b-256 | 64541f95ff4499b90d4be811f30f0bd341d8991e35811ae0a1f6bdbfc9ec19fd |