🚀 Quick Start

📦 Installation

It is recommended to use anaconda3 to manage and maintain the python library environment.

1. Download the .sh file from the anaconda3 website
2. Install anaconda3 with .sh file

bash Anaconda3-2023.03-Linux-x86_64.sh

🔧 Environment Setup

Create and activate a virtual environment:

conda create -n openhaiv python=3.10 -y
conda activate openhaiv
pip install -r requirements.txt
python setup.py install

Required packages:

• pytorch>=1.12.0 torchvision>=0.13.0 (recommend official torch command)
• numpy>=1.26.4
• scipy>=1.14.0
• scikit-learn>=1.5.1

🏃‍♂️ Running Examples

🚨 Out-of-Distribution Detection

python ncdia/train.py --cfg configs/pipeline/ood_detection/msp/det_oes_rn50_msp_train.yaml --opts device='cuda:0'

🌱 Class-incremental Learning

bash ./scripts/inc_BM200_lwf.sh  

🔍 Novel Class Discovery

# Set required parameters
# - model weight in weight_path
# - id_txt_file and ood_txt_file
# - output_dir

python ncd.py