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Installing YOLO Darknet properly with CUDA, cuDNN and OpenCV integration can be trivial. This video is about me sharing an easy way to install those packages required and ensure everything is worked as expected. In this video (4) topic will be explained: 1. Installation of YOLO requirements 2. Dataset preparation for machine learning training 3. Training process demystified 4. Using the trained model to start detecting objects Additionally, I also explain a step-by-step lesson for tools to use for labelling the image, folder structure for better visibility, command to ensure CUDA and cuDNN installed properly and comparison of YOLO performance with/without CUDA and cuDNN enabled. Timeline 01:06 This video lesson scope overview 02:02 Using scripts to install YOLO package requirements 11:32 Brief explanation on how YOLO works 03:48 Explanation about YOLO Darknet (an object tracking model) 16:44 Verify CUDA, cuDNN and OpenCV installation 23:27 Dataset preparation for custom object detection 28:30 Explanation of labelImg tools usage 33:20 Setup files configuration and path for training 39:18 Explanation in configuring yolov3-tiny.cfg files 52:00 Compiling/building YOLO! 54:58 Start the training 59:40 Use the trained model (.weights file) from training 1:04:20 Comparison YOLO performance w/o CUDA and cuDNN enabled YOLO Darknet folder structure https://bit.ly/3gAW5X6 YOLO performance with/without CUDA and cuDNN https://bit.ly/2TPsD5C Code snippet for easy install YOLO Darknet requirement https://bitbucket.org/RobotAndCode/workspace/snippets/Eb7dke/easy-install-yolo-darknet-requirements Source code for YOLO Darknet https://github.com/AlexeyAB/darknet Source code for LabelImg (Images labelling software for training) https://github.com/tzutalin/labelImg Hardware u0026 Software: ► Ubuntu 18.04: https://bit.ly/2zLMJGV ► Intel core i3-9100F @ 3.60GHz: https://invol.co/clo03f ► ZOTAC GTX-1060 @ 3GB: https://invol.co/cl1paiq Recording gear: ► Plantronics Blackwire C3225 Headset: https://invol.co/cloety ► Logitech C310 HD Webcam: https://invol.co/cloeua Facebook: https://www.facebook.com/RobotAndCode Twitter: https://twitter.com/RobotAndCode LinkedIn: https://www.linkedin.com/in/murtadha-bazli-tukimat/ Email: [email protected]