1️⃣ Data Preparation Download dataset and environment:

url: https://pan.baidu.com/s/1eetuDUPcX1xk2FhBNH_wGA?pwd=xpki

PWD: xpki

File Introduction

• AnchorDiff.zip: Dataset compressed file
• environment.yml: Conda environment dependencies
• mamba.zip: Complete Conda environment
• anchordiff_image.tar: Docker image

2️⃣ Environment Setup

pip install -r requirements.txt

3️⃣ Quick Start

python ./core/match_relese/5_match_detail.py

python ./core/match_relese/6_read_result.py

4️⃣ Full Pipeline

Execute scripts 0-6 in sequence:

python ./core/match_relese/0_xxx.py
...
python ./core/match_relese/6_read_result.py

We have placed a Docker image that can be quickly executed at the URL below.

url: https://pan.baidu.com/s/1eetuDUPcX1xk2FhBNH_wGA?pwd=xpki

PWD: xpki

FileName: anchordiff_image.tar

docker load -i anchordiff_image.tar

docker run -it --name anchordiff_container \
  -v /path/to/host/data:/AnchorDiff/data \
  anchordiff_image /bin/bash

Replace /path/to/host/data with your actual host directory path

conda activate mamba
cd /AnchorDiff
python ./core/match_relese/quick_start.py

conda activate mamba
cd /AnchorDiff
python ./core/match_relese/0_xxx.py
python ./core/match_relese/1_xxx.py
python ./core/match_relese/2_xxx.py
python ./core/match_relese/3_xxx.py
python ./core/match_relese/4_xxx.py
python ./core/match_relese/5_xxx.py
python ./core/match_relese/6_read_result.py

• Data processing/encoding tools contain closed-source components
• Related tools will be released in future updates