Skip to main content

Rectified Convolution

Project description

PyPI PyPI Pre-release pytest License

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-0.0.2b20201009.tar.gz (8.2 kB view details)

Uploaded Source

Built Distribution

rfconv-0.0.2b20201009-py3-none-any.whl (16.1 kB view details)

Uploaded Python 3

File details

Details for the file rfconv-0.0.2b20201009.tar.gz.

File metadata

  • Download URL: rfconv-0.0.2b20201009.tar.gz
  • Upload date:
  • Size: 8.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.1.0 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.7.9

File hashes

Hashes for rfconv-0.0.2b20201009.tar.gz
Algorithm Hash digest
SHA256 fb9a09c16090cc94d7129c249d748028dadcde0e6fe2a83f354e8ba1de917c5b
MD5 eaaf2bc05f0bbc9ebff85c0e5a3d4fb3
BLAKE2b-256 1c4d0c7fe394ec14f0a6e7648e21c23a3aa1e1d60927ba38a8c0178f8089e29c

See more details on using hashes here.

File details

Details for the file rfconv-0.0.2b20201009-py3-none-any.whl.

File metadata

  • Download URL: rfconv-0.0.2b20201009-py3-none-any.whl
  • Upload date:
  • Size: 16.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.1.0 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.7.9

File hashes

Hashes for rfconv-0.0.2b20201009-py3-none-any.whl
Algorithm Hash digest
SHA256 b427b4ec8cfcaa08946afe9a56e69109008d17911c82660fadda5d9355758861
MD5 b211369264232ceecb7d00bbfec5efb9
BLAKE2b-256 85ba62b1a5d326724f1c133cfffd82a1e42bb2fafd5687610b5b7ac5b12a8261

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page