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-0.0.2b20201228.tar.gz
(8.2 kB
view hashes)
Built Distribution
Close
Hashes for rfconv-0.0.2b20201228-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 6bbe73fe1463069a205a12f6f4d82cf56a400d76325758ae7bd0c20daa2d9ad1 |
|
MD5 | 47d6c8555602116afae3bf4c04a1b9e4 |
|
BLAKE2b-256 | cbca058f018c946ea1a7f51b10b46c78840105bae42d69e1c7a6333572e85aff |