Deep Learning For Object Detection

Code Files for MATLAB and Simulink Robotics Arena - Deep Learning for Object Detection video series
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Aktualisiert 8 Jun 2023

Code files for MATLAB and Simulink Robotics Arena - Deep Learning for Object Detection video series. This series comprises of the following 4 videos:

1. Data Pre-processing for Deep Learning - https://www.mathworks.com/videos/data-preprocessing-for-deep-learning-1578031296056.html
2. Design and Train a YOLOv2 Network in MATLAB - https://www.mathworks.com/videos/design-and-train-a-yolov2-network-in-matlab-1578033233204.html
3. Import Pre-trained Deep Learning Networks into MATLAB - https://www.mathworks.com/videos/import-pretrained-deep-learning-networks-into-matlab-1578034627950.html
4. Deploy YOLOv2 to an NVIDIA Jetson - https://www.mathworks.com/videos/deploy-yolov2-to-an-nvidia-jetson-1578035533852.html

Refer to the GitHub page for more information and links: https://github.com/mathworks-robotics/deep-learning-for-object-detection-yolov2

For any questions, email us at roboticsarena@mathworks.com.

Zitieren als

MathWorks Student Competitions Team (2024). Deep Learning For Object Detection (https://github.com/mathworks-robotics/deep-learning-for-object-detection-yolov2), GitHub. Abgerufen .

Kompatibilität der MATLAB-Version
Erstellt mit R2019b
Kompatibel mit R2019b und späteren Versionen
Plattform-Kompatibilität
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Versionen, die den GitHub-Standardzweig verwenden, können nicht heruntergeladen werden

Version Veröffentlicht Versionshinweise
1.0.1

Updated description

1.0.0

Um Probleme in diesem GitHub Add-On anzuzeigen oder zu melden, besuchen Sie das GitHub Repository.
Um Probleme in diesem GitHub Add-On anzuzeigen oder zu melden, besuchen Sie das GitHub Repository.