Comments on: Deep Learning for Automated Driving (Part 1) – Vehicle Detection https://blogs.mathworks.com/deep-learning/2017/11/03/deep-learning-for-automated-driving-part-1-vehicle-detection/?s_tid=feedtopost Johanna specializes in deep learning and computer vision. Her goal is to give insight into deep learning through code examples, developer Q&As, and tips and tricks using MATLAB. Tue, 06 Apr 2021 19:52:44 +0000 hourly 1 https://wordpress.org/?v=6.2.2 By: Avi Nehemiah https://blogs.mathworks.com/deep-learning/2017/11/03/deep-learning-for-automated-driving-part-1-vehicle-detection/#comment-395 Thu, 06 Sep 2018 17:08:50 +0000 https://blogs.mathworks.com/deep-learning/?p=51#comment-395 Yes you can do that, you’d have to use one of the model importers ( Caffe, Keras or ONNX) to bring the model in. This example will show you how to deploy a YOLO detector ( https://www.mathworks.com/help/gpucoder/examples/pedestrian-detection.html ).

Avi

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By: Neville https://blogs.mathworks.com/deep-learning/2017/11/03/deep-learning-for-automated-driving-part-1-vehicle-detection/#comment-389 Tue, 04 Sep 2018 21:04:21 +0000 https://blogs.mathworks.com/deep-learning/?p=51#comment-389 Hi,

This is a good introduction to object detection. Over the past year I have been exploring a lot of MATLAB tutorials and find it excellent. Keep up the great content.

I was wondering if MATLAB had support for other DNN frameworks like exporting a Caffe model or support for YOLO ? It would be great, if a tool exists where I can use these approaches in MATLAB. The reason I ask is because my deployment target is defined and cannot be changed.

Thanks.

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