Visualizing lidar data using Uber Autonomous Visualization System (AVS) and Jupyter Notebook Application
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Updated
May 21, 2019 - Jupyter Notebook
Visualizing lidar data using Uber Autonomous Visualization System (AVS) and Jupyter Notebook Application
This project applies YOLOV2 for car detection using the Keras version from allanzelener/YAD2K.
This project shows the implementation of a performance optimized lane detection system for United States roads. It’s developed in Python using Anaconda with OpenCV and for better demonstration embedded as a Jupyter Notebook.
This is a Deep Learning Project to classify German Road Signs using deep neural networks and image processing.
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