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-0.0.2b20210317.tar.gz (8.2 kB view details)

Uploaded Source

Built Distribution

rfconv-0.0.2b20210317-py3-none-any.whl (16.1 kB view details)

Uploaded Python 3

File details

Details for the file rfconv-0.0.2b20210317.tar.gz.

File metadata

  • Download URL: rfconv-0.0.2b20210317.tar.gz
  • Upload date:
  • Size: 8.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/3.7.3 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.7.10

File hashes

Hashes for rfconv-0.0.2b20210317.tar.gz
Algorithm Hash digest
SHA256 5f8258e2a7abb44c3df56dc7811823fea6ed7c8d5c459dd19dc241028e50e71c
MD5 91cad88b80c1071044da54e7777be201
BLAKE2b-256 d16df9ad879b3e5fc6ea28c6c38be4beccbf6c4302db8230e3b1f659b03806c8

See more details on using hashes here.

File details

Details for the file rfconv-0.0.2b20210317-py3-none-any.whl.

File metadata

  • Download URL: rfconv-0.0.2b20210317-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/3.7.3 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.7.10

File hashes

Hashes for rfconv-0.0.2b20210317-py3-none-any.whl
Algorithm Hash digest
SHA256 b2fec89a153be5d9f43508de266683c35732878ba782cc847ccb767e461572b4
MD5 b45d70f42a83cdb13a84026fc7bf171a
BLAKE2b-256 603502fa22bfbbc9266aa6579362ae5076071fc1b717165d077b24c8c1f0afb5

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