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Learn how to implement a YOLOv4 Object Detector with TensorFlow 2.0, TensorFlow Lite, and TensorFlow TensorRT Models. Perform object detections on images, video and webcam with high accuracy and speed. #yolov4 #tensorflow #objectdetection This video will walk-through the steps of setting up the code, installing dependencies, converting YOLO Darknet style weights into saved TensorFlow models, and running the 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/tens... In this video I cover: 1. Cloning or Downloading the Code 2. Installing Required Dependencies for CPU or GPU 3. Downloading and Converting YOLOv4 Weights into a saved TensorFlow 4. Performing YOLOv4 Object Detections with TensorFlow on images, video and webcam 5. Converting TensorFlow model into a TensorFlow Lite .tflite model 6. Converting TensorFlow model into TensorFlow TensorRT model 7. Running YOLOv4 Object Detections with TensorFlow Lite ----------------------Resources----------------------- Train Your Own YOLOv4 Custom Object Detector in the Cloud: • YOLOv4 in the CLOUD: Build and Train Custo... The Official YOLOv4 paper: https://arxiv.org/abs/2004.10934 If you enjoyed the video, toss it a like! 👍 To Subscribe: / @theaiguy Thanks so much for watching! The AI Guy