Learn how to implement and build your own Custom YOLOv4 Object Detector with TensorFlow 2.0, TensorFlow Lite, and TensorFlow TensorRT Models. Perform custom YOLOv4 object detections on images, video and webcam with high accuracy and speed. In this tutorial will be running a custom object detector trained to detect license plates on cars!

This video will walk-through the steps of converting your custom YOLO Darknet style weights into saved TensorFlow models, and running these models. Take advantage of YOLOv4 as a TensorFlow Lite model, it’s small lightweight size makes it perfect for mobile and edge devices such as a raspberry pi. Looking to harness the full powers of a GPU? Then run YOLOv4 with TensorFlow TensorRT to increase performance by up to 8x times.

GET THE CODE HERE: https://github.com/theAIGuysCode/tensorflow-yolov4-tflite

DOWNLOAD MY LICENSE PLATE WEIGHTS FILE: https://drive.google.com/file/d/1EUPtbtdF0bjRtNjGv436vDY28EN5DXDH/view

#tensorflow #yolov4 #object #python