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-0.0.2b20200826.tar.gz
(8.2 kB
view hashes)
Built Distribution
Close
Hashes for rfconv-0.0.2b20200826-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 169c813d0200ba4ed158216ec9c7756ffb4874e6dffd30aa37fc3d082e521fae |
|
MD5 | 9ec24fa28192622a4823de38a09246a3 |
|
BLAKE2b-256 | bb0f7c395b38934a28319c5cddfc53480923d5c50f3ba00503dae0ce9d35a7a0 |