This repo contains the code for Python Course that I take for NWPU students.
This ReadMe describes how to use the code.
In the beginning, I assume you are running your code on Windows 10 or 11 Platform.
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You are required to setup Python environment with version 3.8 or higher. I recommend miniconda package from https://repo.anaconda.com/miniconda/Miniconda3-py38_4.12.0-Windows-x86_64.exe
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After you have installed Python. Your terminal is assumed to have python and pip in Path environment variable.
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Clone this repo by
git clone https://github.com/ainrichman/PythonCourseCode-NWPU
- Enter the cloned repo in your local disk. Then you will need to install necessary python packages by:
pip install -r requirements.txt
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Install Google Chrome explorer. View the version of your Chrome for example :106.0.5249.119.
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Download Chrome driver corresponding to your Chrome version from
https://chromedriver.chromium.org/downloads. -
If you have issues with step 5 and 6. I prepared the Chrome offline installer and Chrome Driver in this repo in the folder ‘/chrome’.
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Copy the Chrome driver to the folder
/crawlerand/testof this repo. -
(Optional) I strongly recommend you use Jetbrains' Python Development IDE Pycharm from
https://www.jetbrains.com/pycharm/. You can run Pycharm and import this repo. Then you will be able to run the examples of this repo directly by Pycharm. -
Download Stable diffusion model from https://pan.baidu.com/s/1wSQIH246RL0J-MonXbElTQ code:3auv. Copy the whole folder to /diffstable/. (Running Diffuse stable AI painting model requires you have at least 4G GPU Memory). You have to donwload NVIDIA Driver from https://www.nvidia.com/download/index.aspx according to your GPU card. If you have other issues with the instructions above. Please contact with me.
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For the first time run Faceswap, you need to download inswapper_128.onnx file and copy it to faceswap/. url: https://huggingface.co/ezioruan/inswapper_128.onnx/blob/main/inswapper_128.onnx