Rectified Convolution
Project description
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
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-0.0.2b20200914.tar.gz
(8.2 kB
view details)
Built Distribution
File details
Details for the file rfconv-0.0.2b20200914.tar.gz.
File metadata
- Download URL: rfconv-0.0.2b20200914.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/4.49.0 CPython/3.7.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 2373abbe0597344588102a9943017a7d87908e0c56bc2b19d10e7df627dcba5d |
|
| MD5 | 8d22963bf50316dbbe3e9b9797636657 |
|
| BLAKE2b-256 | 6e550094a474637fb0a842ed9dc2027f5949fc735e7ae09c804aa78abfc0c553 |
File details
Details for the file rfconv-0.0.2b20200914-py3-none-any.whl.
File metadata
- Download URL: rfconv-0.0.2b20200914-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/4.49.0 CPython/3.7.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 3942e81e54aa7647c222276da9aaf976998372beb74c6ff6d321c84bc30310de |
|
| MD5 | e87f78cffcf7791b0b00f3d51ce2321a |
|
| BLAKE2b-256 | e9616ad519427af24d80d043e4f8810b6b6d89efccb55568641609158f1f4ca2 |
