Detecting Objects in Images and Videos Using darknet and YOLOv3 CNNs

Hi. My name is Tom Lever. I've recorded this video to offer you a guide to getting started using Google Colaboratory to draw bounding boxes around objects in images or videos. More technically, I'm offering you a guide to getting started using a Python3 kernel on a Linux virtual machine hosted by a Google server to compile AlexeyAB's deep-learning framework, called darknet, and using the kernel to run a compiled executable file, also called darknet. In running darknet the kernel will forward-propagate an image or video through a YOLOv3 convolutional neural network, use the resulting prediction matrices to hopefully draw bounding boxes around objects in the image or video frames, and archive the image or video. The neural network may be trained on the COCO dataset, the Pascal VOC 2007 and 2012 datasets, or a custom dataset. Let's begin.

[deepaksahoo]

Please make a video on how to preprocess images for yolo training

[jokosusilo]

Hi. Thank you so much for your inspiring video. Can we crop only the detected image in the bounding box from the video?