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-0.0.2b20200807.tar.gz (8.2 kB view details)

Uploaded Source

Built Distribution

rfconv-0.0.2b20200807-py3-none-any.whl (16.1 kB view details)

Uploaded Python 3

File details

Details for the file rfconv-0.0.2b20200807.tar.gz.

File metadata

  • Download URL: rfconv-0.0.2b20200807.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/4.48.2 CPython/3.7.8

File hashes

Hashes for rfconv-0.0.2b20200807.tar.gz
Algorithm Hash digest
SHA256 f7d244fd727874e37debe175ff97a553a095fe9a035f3269e0481279eb189300
MD5 1f8f8f3c0fcb30971062c8472e0169d3
BLAKE2b-256 7cd1b3d4a395b9e026c57936fd45d8b0f3f399b1bcbb1a2f39102fe5e307e47b

See more details on using hashes here.

File details

Details for the file rfconv-0.0.2b20200807-py3-none-any.whl.

File metadata

  • Download URL: rfconv-0.0.2b20200807-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/4.48.2 CPython/3.7.8

File hashes

Hashes for rfconv-0.0.2b20200807-py3-none-any.whl
Algorithm Hash digest
SHA256 1bbc7f3778aef73bdb86fec8cc9bea52e35e582263accee71cb5fe483181e311
MD5 564bc472e8ca76ca49f3db02704f1e6f
BLAKE2b-256 e7290014938dedd44c5c24dc3d6fa7fe743c51c21e53a2122a89ab1e5e2a8ad5

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