Inquiry about Building-GAN Code and Inference Process

[asadrizvi64]

Description:
I am currently exploring the Building-GAN code available on the GitHub repository and have some questions regarding the inference process. Your assistance in clarifying these aspects would be greatly appreciated.

Questions:

1. Inference.py Execution:

   • What are the steps involved in running the inference.py file?
   • Is it necessary to preprocess the raw data before executing the inference script? If so, could you provide guidance on the preprocessing steps or direct me to relevant documentation?

2. Training and Running Procedure:

   • Could you provide an overview of the overall procedure for both training and running the Building-GAN model?
   • Specifically, I would like insights into how data representations are collected from processed data during the training phase.

3. Input JSON Format:

   • Could you shed light on the format of the input JSON file used in the process?
   • Understanding its structure and the representation of each component would greatly assist in comprehending the model's functionality.

Additional Information:

• My name: Syed Muhammad Asad
• Affiliation: Student at FAST NUCES
• Contact: i191778@nu.edu.pk

Note:
I understand that your time is valuable, and any information or guidance you can provide on these matters is highly appreciated. If there are specific resources or documentation that I may have overlooked, please point me in the right direction.

Thank you for your assistance, and I look forward to your response.

Best regards,
Syed Muhammad Asad