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-0.0.2b20200716.tar.gz (8.2 kB view details)

Uploaded Source

Built Distribution

rfconv-0.0.2b20200716-py3-none-any.whl (16.1 kB view details)

Uploaded Python 3

File details

Details for the file rfconv-0.0.2b20200716.tar.gz.

File metadata

  • Download URL: rfconv-0.0.2b20200716.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-0.0.2b20200716.tar.gz
Algorithm Hash digest
SHA256 44c069b6baa05ec59f01b89ad12f9d43fedf9ac152a9b4fdf0827bcb971a319d
MD5 af7fedeb6ad6a1e57941bf0fd432dff7
BLAKE2b-256 9a8210a20319b7bcae998e05979b08009c2804cb5e5211fa40af424b85a0b809

See more details on using hashes here.

File details

Details for the file rfconv-0.0.2b20200716-py3-none-any.whl.

File metadata

  • Download URL: rfconv-0.0.2b20200716-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-0.0.2b20200716-py3-none-any.whl
Algorithm Hash digest
SHA256 a0fc1f4e538993ca0ec9a14a5f0a9f799bc34fb7314427056178e10f3368eb34
MD5 3b75f9bca0e92b2a934aaa3f6344257e
BLAKE2b-256 8eadceef18465d663e97a453e35a6ea7b477b15b69c2bcd5783e2e4ff3ed1793

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