Skip to content

xjtu-mia/BurnAnalysis

Repository files navigation

BurnAnalysis

1. Environment

  • Please prepare an environment with python=3.10|cudatoolkit=11.3.1, and then use the command "pip install -r requirements.txt" for the dependencies.

2. Prepare Burns datasets

3. Train model

  • To train a multi-task network, you can enter the following command in the terminal interface.
python train_net.py --data-split='0', --batch-size=4, --max-epoch=150, --ckpt-dir='ckpt/tmpckpt'

4. Test model and evaluate

  • To test a trained multi-task network, you can enter the following command in the terminal interface.
python test_eval.py --data-split='0', --batch-size=4, --ckpt-dir='ckpt/tmpckpt', --out-dir='output/tmp', --cndct-vis=False

BurnAI Application (Android OS version ≥10)

  • You can download the installation pakage from the Baidu Netdisk (access code: gr67).

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published