Real 2 Sim: Build 3D Assets from Real-World Objects

Create a synthetic version of a real-world object. Synthetic datasets help increase training and effectiveness of neural networks, but sometimes creating them to mimic the complex real world is difficult. Learn how to capture a complex physical object, filter the image capture for best results, generate a 3D asset from the capture, and generate a synthetic dataset that randomizes the physical object automatically.
Prerequisite(s):

Python
Jupyter Notebooks
Video/Image processing

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