Running the Speaking by Observing Lip Movements Project

  • Context: MHB 
  • Thread starter Thread starter shivajikobardan
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Discussion Overview

The discussion revolves around the process of running a project related to generating speech by observing lip movements, specifically focusing on the source code available on GitHub. Participants are exploring the steps required to set up and execute the code, including documentation, dependencies, and environment setup.

Discussion Character

  • Homework-related
  • Technical explanation
  • Exploratory

Main Points Raised

  • One participant expresses difficulty in understanding how to run the code due to a lack of documentation.
  • Another participant provides a link to the GitHub repository and suggests cloning the code as a starting point, questioning the original poster's familiarity with Git and GitHub.
  • A participant reiterates the GitHub link and shares their own experience with GitHub, indicating they primarily use it for saving personal projects.
  • Some participants assert that the documentation is adequate and offer to guide the original poster through the setup process, asking if they have Python 3.7 installed.
  • There is a suggestion that running the code involves multiple steps, including creating a virtual environment and installing dependencies, with an inquiry about the original poster's intentions regarding the extent of their engagement with the project.
  • The original poster confirms their intention to run the full code.

Areas of Agreement / Disagreement

Participants express differing views on the adequacy of the documentation, with some finding it sufficient while others believe it lacks clarity. There is no consensus on the best approach to running the code, as participants discuss various steps and levels of familiarity with the tools involved.

Contextual Notes

Participants mention specific versions of Python and the need for a virtual environment, but there are no detailed explanations of the dependencies or the exact steps involved in the process. The discussion reflects varying levels of experience with GitHub and coding practices.

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The source code is located on Github here: https://github.com/Rudrabha/Lip2Wav

You should clone this code to get started. Are you familiar with git/Github and how to do this?
 
Jameson said:
The source code is located on Github here: https://github.com/Rudrabha/Lip2Wav

You should clone this code to get started. Are you familiar with git/Github and how to do this?
I know that code. What I am thinking is I download the code. Then what should I do? I am unfamiliar with github. https://github.com/shivajikobardan I have github but I mostly post the codes that I am learning for saving for future. Not more.
 
This is actually pretty well documented from first glance. If you read the documentation here: https://github.com/Rudrabha/Lip2Wav#downloading-the-dataset . Let's go step by step if you want. Can you clone/copy the code to get started? After that we'll need Python 3.7. Do you have that on your computer?
 
Jameson said:
This is actually pretty well documented from first glance. If you read the documentation here: https://github.com/Rudrabha/Lip2Wav#downloading-the-dataset . Let's go step by step if you want. Can you clone/copy the code to get started? After that we'll need Python 3.7. Do you have that on your computer?
yes I have python latest version installed in my laptop..
 
Ok so what I'm getting at is running this code will take some number of steps and I'm happy to go through it with you, but want to ask if you are game to do this. If not, no worries, but this isn't a quick answer. We need to copy the code, create a virtual environment, install the dependencies, then run through the data grabbing, model training, etc. It is a number of steps.

Are you looking to run through all of this or just a certain part?
 
Jameson said:
Ok so what I'm getting at is running this code will take some number of steps and I'm happy to go through it with you, but want to ask if you are game to do this. If not, no worries, but this isn't a quick answer. We need to copy the code, create a virtual environment, install the dependencies, then run through the data grabbing, model training, etc. It is a number of steps.

Are you looking to run through all of this or just a certain part?
I am trying to run the full code. I am trying to run it..
 

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