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-0.0.2b20210328.tar.gz
(8.2 kB
view hashes)
Built Distribution
Close
Hashes for rfconv-0.0.2b20210328-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | f309d8f4939a4b9c3569e002237cb91993b4bf1d063ccfcf40f45766965f07b3 |
|
MD5 | c43486eb6833a7923fa03db02d25f63a |
|
BLAKE2b-256 | 4a1ccc13d7d756123286e4215b4d4a1f5860d0080f4682f86a7633eb28239de1 |