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-0.0.2b20200806.tar.gz (8.2 kB view details)

Uploaded Source

Built Distribution

rfconv-0.0.2b20200806-py3-none-any.whl (16.1 kB view details)

Uploaded Python 3

File details

Details for the file rfconv-0.0.2b20200806.tar.gz.

File metadata

  • Download URL: rfconv-0.0.2b20200806.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-0.0.2b20200806.tar.gz
Algorithm Hash digest
SHA256 147830f66aa6f43c250ca1cc6aad9762a0912fd15407813d74e66381825150e1
MD5 c77993cf25eaa1c22ec7e08c0fef39b8
BLAKE2b-256 6458aaa5d925d25201f1a71172a47e25db778a0052a1aafbf5b14083c88ff4ac

See more details on using hashes here.

File details

Details for the file rfconv-0.0.2b20200806-py3-none-any.whl.

File metadata

  • Download URL: rfconv-0.0.2b20200806-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-0.0.2b20200806-py3-none-any.whl
Algorithm Hash digest
SHA256 a8917d36bda3e0ae606f5ed6d0106b9596e884505c066bcdfa7af34bf3ff4280
MD5 5d4c7533c921e16cb89a27bac1a34f9b
BLAKE2b-256 f10c943810133e9f1855c7faaa289f12470f48dde64f59feac406dfe471e864f

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