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-0.0.2b20200912.tar.gz (8.2 kB view details)

Uploaded Source

Built Distribution

rfconv-0.0.2b20200912-py3-none-any.whl (16.1 kB view details)

Uploaded Python 3

File details

Details for the file rfconv-0.0.2b20200912.tar.gz.

File metadata

  • Download URL: rfconv-0.0.2b20200912.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/3.7.9

File hashes

Hashes for rfconv-0.0.2b20200912.tar.gz
Algorithm Hash digest
SHA256 4d11e21d7435bf3d6e76c1d0eb7241a2dc25067ce5bbaa8efffa127aaf695059
MD5 3f045da94aaddce63bf6a303c3ad0ea9
BLAKE2b-256 c0aea6b9fdff623b26bb32c56201fc54f2117b032273c3bea51d3020d8f57cfa

See more details on using hashes here.

File details

Details for the file rfconv-0.0.2b20200912-py3-none-any.whl.

File metadata

  • Download URL: rfconv-0.0.2b20200912-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/3.7.9

File hashes

Hashes for rfconv-0.0.2b20200912-py3-none-any.whl
Algorithm Hash digest
SHA256 276cc6ab6f4d82e8fa236d41d9947e1f6945f13100d924c98cb4864ab1053240
MD5 1d7db8f2a1c8f617c01f8af9b04aa915
BLAKE2b-256 dc2984e96d6e20f121671544c3dbae18c7bde2a5458dd7dbe2e8085142cb70b3

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