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-0.0.2b20210116.tar.gz
(8.2 kB
view details)
Built Distribution
File details
Details for the file rfconv-0.0.2b20210116.tar.gz.
File metadata
- Download URL: rfconv-0.0.2b20210116.tar.gz
- Upload date:
- Size: 8.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.3.0 pkginfo/1.6.1 requests/2.25.1 setuptools/47.1.0 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.7.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 039da2ba12f0737c52691aa8caeb3e844da3b2fb1c413a7671b00908fde5d263 |
|
| MD5 | 5a5ed2e0c3daafa140d366f1d817ca3f |
|
| BLAKE2b-256 | 0f725f65a29153996411ea895212f1329998acaa780ad2079e17724e55043f39 |
File details
Details for the file rfconv-0.0.2b20210116-py3-none-any.whl.
File metadata
- Download URL: rfconv-0.0.2b20210116-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/1.6.1 requests/2.25.1 setuptools/47.1.0 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.7.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | af344216368a989bbbfbced66afffdcda5c7efc260ad3c03123c6b17b21361d7 |
|
| MD5 | 1ba78fec01792e2b5009f1733d4be1de |
|
| BLAKE2b-256 | bfc27fc6ae0bdd89d6541bcec8ec23e20967837ba4934af35fd765fbc1b8a2bf |
