A complete guide to object detection using YOLO V4, OpenCV and Darknet
This collection of Google Colab Notebook demonstrates how to perform object detection using the YOLO V4 model.
The project is seperated into three sections as listed below:
The trained model will take image from Internet and output the result with objects marked on it.
The given button will capture the image from the web cam of the device and then the trained model will take image and show output the result with objects marked on it.
The object detection will be lagging one frame due to use of Javascript for collecting data from browser and camera.
You need to have a Google account and access to your Google Drive
Deep Awasthi
This system is available under the MIT license. See the LICENSE file for more info.