YoloV4 can be implemented by TensorFlow2, with support for training, evaluation, and inference.
The goal of YOLO is to divide the image into a grid of multiple cells, and then for each cell predict the probability of having an object using anchor boxes.
YoloV4 can be implemented by TensorFlow2, with support for training, evaluation, and inference. The goal of YOLO is to divide the image into a grid of multiple cells, and then for each cell predict the probability of having an object using anchor boxes.