Web application demonstrating XAITK Saliency functionality
Project description
Web application demonstrating XAITK Saliency functionality
Free software: BSD License
Created using template from trame-cookiecutter
Installing
It is recommended to use conda to properly install the various ML packages.
macOS conda setup
brew install miniforge
conda init zshvenv creation for AI
conda create --name xaitk python=3.9
conda activate xaitk
conda install "pytorch==1.9.1" "torchvision==0.10.1" -c pytorch
conda install scipy "scikit-learn==0.24.2" "scikit-image==0.18.3" -c conda-forge
pip install -e .Run the application
conda activate xaitk
xaitk_saliency_demo
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
xaitk-saliency-demo-1.0.0.tar.gz
(16.3 kB
view details)
Built Distribution
File details
Details for the file xaitk-saliency-demo-1.0.0.tar.gz.
File metadata
- Download URL: xaitk-saliency-demo-1.0.0.tar.gz
- Upload date:
- Size: 16.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.26.0 requests-toolbelt/0.9.1 urllib3/1.26.7 tqdm/4.62.3 importlib-metadata/4.10.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | fb9c615c52dd8b8d981fdcfb3a0d464bc77c08288ce0077f24bd2bcd7b80af87 |
|
| MD5 | 7052d1e9296c719fffd76bc31062df87 |
|
| BLAKE2b-256 | c083d6e674fd7a8719d6962377f6c9a8423d60bdf4b629342bdb9233232f24fc |
File details
Details for the file xaitk_saliency_demo-1.0.0-py3-none-any.whl.
File metadata
- Download URL: xaitk_saliency_demo-1.0.0-py3-none-any.whl
- Upload date:
- Size: 20.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.26.0 requests-toolbelt/0.9.1 urllib3/1.26.7 tqdm/4.62.3 importlib-metadata/4.10.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 1b047bf1e025979da8aa9c62aa5f48b3b567cdaed09378e41595e151eb2049ce |
|
| MD5 | 319ab2c1c29ac6b2063defd0eb212148 |
|
| BLAKE2b-256 | 6de22680af502243a29b62ceb2280101a12a9cac37eb2b639c6c01c7d2d96cba |
