Python How do I run this lip movement observation project?

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The discussion revolves around the challenges of running a specific code related to a project on lip movement analysis. The original poster (OP) expresses confusion about how to start using the code, indicating that the documentation is unclear. Participants highlight that the code is intended for developers, not general users, and emphasize the importance of having a suitable Python environment set up. They clarify that the code consists of various scripts for data preprocessing, analysis, and model training, rather than being a straightforward application. Suggestions include referring to the project's README file for guidance and considering reaching out to the authors for further clarification on the implementation steps.
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jedishrfu said:
What wasnt clear?
IDK how to run this code? I mean where do I start?
 
shivajikobardan said:
IDK how to run this code? I mean where do I start?
Have you installed an environment that can run Python code?
 
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scottdave said:
Have you installed an environment that can run Python code?
Indeed. OP, what is your knowledge level for software development environments? The code you have found is not really for the general public; it's meant for developers.
 
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shivajikobardan said:
IDK how to run this code? I mean where do I start?
Your response. Reminds me of the Wizard in the Wizard of Oz movie when the balloon takes off without Dorothy.

I can't come back, I don't know how it works.

https://getyarn.io/yarn-clip/9c369b08-76b9-4eb8-b00e-432aa1a36977

What I meant was what step in the readme wasn't clear? This code isn't something run like a game or application, rather it's a collection of tools to pre process a dataset, to analyse the data, and then train a model.

Each task is a separate python script run as shown in the readme. Once the model is trained then you can write code to read in the model and use it to analyze some new video of someone talking.

I would get their paper and maybe even ask them about the steps they take and how they run their code beyond what is shown in the readme.
 
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