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-0.0.2b20200714.tar.gz (8.2 kB view details)

Uploaded Source

Built Distribution

rfconv-0.0.2b20200714-py3-none-any.whl (16.1 kB view details)

Uploaded Python 3

File details

Details for the file rfconv-0.0.2b20200714.tar.gz.

File metadata

  • Download URL: rfconv-0.0.2b20200714.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/2.23.0 setuptools/47.1.0 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.7.8

File hashes

Hashes for rfconv-0.0.2b20200714.tar.gz
Algorithm Hash digest
SHA256 b2df4e6eb900a7c26cbf7c0b267c51e86b890ac69174926601240afbcf5519e7
MD5 cd6951144a17dcba7171e4cb3fe1db4f
BLAKE2b-256 87ac68fc6d31f3b082144a3a988764abe7c9ad105b25e78940f759c45c8b8113

See more details on using hashes here.

File details

Details for the file rfconv-0.0.2b20200714-py3-none-any.whl.

File metadata

  • Download URL: rfconv-0.0.2b20200714-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/2.23.0 setuptools/47.1.0 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.7.8

File hashes

Hashes for rfconv-0.0.2b20200714-py3-none-any.whl
Algorithm Hash digest
SHA256 c032d9a735146cd24969382954c66cf9ed6d640861c856b0987ce673f3070220
MD5 bacda3a2ee75f5a5b97fddbd1ccbcf15
BLAKE2b-256 1879ec4507966bc7e4f45e2b0ba6319c85baddcfa8ffb00d193ab1d7e4efb4fb

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