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-0.0.2b20210223.tar.gz
(8.2 kB
view details)
Built Distribution
File details
Details for the file rfconv-0.0.2b20210223.tar.gz.
File metadata
- Download URL: rfconv-0.0.2b20210223.tar.gz
- Upload date:
- Size: 8.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/47.1.0 requests-toolbelt/0.9.1 tqdm/4.57.0 CPython/3.7.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 24343064e8362c841e7fddb16d64b08c6b9ccf84e1a12daf63c208b741924091 |
|
| MD5 | 91ef0b7c8fd96f6da7c4da92ea59a486 |
|
| BLAKE2b-256 | 381ceacf24a10b20e5e8e4fbbdd218070336924511edb3e171c46950f389e002 |
File details
Details for the file rfconv-0.0.2b20210223-py3-none-any.whl.
File metadata
- Download URL: rfconv-0.0.2b20210223-py3-none-any.whl
- Upload date:
- Size: 16.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/47.1.0 requests-toolbelt/0.9.1 tqdm/4.57.0 CPython/3.7.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | c0f93e5dd4253ef9534d361237f3247035d1fa0f4c7a7c7de64316265893acf5 |
|
| MD5 | 46e3c58e1107d086cf9dcb69ddd386b2 |
|
| BLAKE2b-256 | 35c9443d6f15b83a3c61d83d27c077f05db802b60eac4e71fecbbf8a2c518e70 |
