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-0.0.2b20210314.tar.gz
(8.2 kB
view details)
Built Distribution
File details
Details for the file rfconv-0.0.2b20210314.tar.gz.
File metadata
- Download URL: rfconv-0.0.2b20210314.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/4.59.0 CPython/3.7.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 0d77c8f95a573e5cc41ba1a53cdb9a3fd78da16e6768ac10041bba9356bbf1fb |
|
| MD5 | 52f88c0f313325c9f10dda63cf8d9f35 |
|
| BLAKE2b-256 | 1896c116205748a4bc28248325de76efb3379afd8176a98b2192442736d18220 |
File details
Details for the file rfconv-0.0.2b20210314-py3-none-any.whl.
File metadata
- Download URL: rfconv-0.0.2b20210314-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/4.59.0 CPython/3.7.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | ad1353d7d6255b678f4939a34cceb4f08d1b2c66013a308343333fbbc7739947 |
|
| MD5 | 0a96633dcd68b1040d5533ed62e7434b |
|
| BLAKE2b-256 | 3fc9431f33dd22446ac6188f2826394da463290ae5986bd1bcbc288aa3b10c59 |
