3D Python Tutorial: Building 3D Models from 2D Images (Photo or AI) with 5 Libraries

This tutorial shows how to create a 3D model (point cloud) from a single image with 5 Python Libraries. The input is a 2D image (from AI or your camera), and we generate a 3D Model. I cover everything from setting up your environment to generating your 3D Point Cloud Model (going through Monocular Depth Estimation).

I go through several linear phases that follow the different chapters.

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📄 CHAPTERS
[00:00:00]: Tutorial Introduction
[00:01:12]: Setting up the environment and installing the base libraries
[00:03:51]: Installing necessary libraries (PyTorch, Pillow, Transformers)
[00:05:03]: Taking an Image
[00:06:44]: Generate an Image with AI (StableDiffusion)
[00:08:37]: Image pre-processing and model setup
[00:10:53]: Loading and resizing the image for the model
[00:13:18]: Depth Estimation predictions from the model
[00:15:06]: Point Cloud Generation
[00:17:54]: Defining the camera extrinsic
[00:19:21]: 3D Point Cloud Analysis and Post-Processing
[00:23:40]: 3D Modelling: 3D Point Cloud to Mesh
[00:26:40]: 3D Mesh Analysis (Quality Control)
[00:28:13]: 3D Mesh from Generative AI Image
[00:30:30]: 3D Mesh Retouching
[00:33:10]: 2D Image to 3D Reconstruction: Conclusion