How to Build an Object Detection Classifier with TensorFlow 2.0 on Windows/Linux

Learn how to build your very own object detection classifier with TensorFlow 2.0! This video will walk you through the process and code in order to setup your own TensorFlow 2.0 detector that will be able to run detections on both images and video in real-time! This detection classifier gets converted from YOLOv3 architecture into TensorFlow's model .ckpt files in order to run the detections. #tensorflow #objectdetection #yolov3 -----Resources----- Get the code here: https://github.com/theAIGuysCode/yolo-v3 How to train custom yolo weights: https://www.youtube.com/watch?v=zJDUhGL26iU In this video I cover: 1. Setup and Install Dependencies 2. Convert YOLOv3 weights into TensorFlow model .ckpt files. 3. How to run object detections on both images and videos! Stay tuned for current upgrades which include: - Finish migration to full TF 2.0 (remove tf.compat.v1) - Allow model training - Tiny-Yolo Configuration If you enjoyed the video, toss it a like! 👍 To Subsribe: https://www.youtube.com/channel/UCrydcKaojc44XnuXrfhlV8Q?sub_confirmation=1 Thanks so much for watching! - The AI Guy