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-0.0.2b20210330.tar.gz
(8.2 kB
view details)
Built Distribution
File details
Details for the file rfconv-0.0.2b20210330.tar.gz
.
File metadata
- Download URL: rfconv-0.0.2b20210330.tar.gz
- Upload date:
- Size: 8.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.1 importlib_metadata/3.10.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.7.10
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 60031f1aac10db1805ae7fff9159553cf8ef4dc11318221445c2e26a6c971f57 |
|
MD5 | d7e6a7258f0961cfc6c9e9904dc45124 |
|
BLAKE2b-256 | 7578fd224bc8080cd7683bcdb254b100b3486af803ce5648fd5718eda1f8e4f7 |
File details
Details for the file rfconv-0.0.2b20210330-py3-none-any.whl
.
File metadata
- Download URL: rfconv-0.0.2b20210330-py3-none-any.whl
- Upload date:
- Size: 16.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.1 importlib_metadata/3.10.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.7.10
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 420fd7fd3613b8f56f74b5bbd51e02214df5b76a3ecd227371cac1b4f9746f73 |
|
MD5 | d3a6925cc44619081f9a4b3d086e3949 |
|
BLAKE2b-256 | e3d3d29206b58b27a744d222b5f3d818ef582b3c6e94194a80e2f000e766adf1 |