-
Prepare the data:
- Download datasets LEVIR, WHU, and SYSU
- Generate list file as
ls -R ./label/* > test.txt
- Prepare datasets into the following structure and set their path in
train.py
andtest.py
├─Train ├─A ...jpg/png ├─B ...jpg/png ├─label ...jpg/png └─list ...txt ├─Val ├─A ├─B ├─label └─list ├─Test ├─A ├─B ├─label └─list
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Prerequisites for Python:
- Creating a virtual environment in the terminal:
conda create -n PGPANet python=3.8
- Installing necessary packages:
pip install -r requirements.txt
- Creating a virtual environment in the terminal:
-
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