def do_train(cfg, model, resume=False): model.train() optimizer = my_build_optimizer(cfg, model) scheduler = build_lr_scheduler(cfg, optimizer)
I following these steps: Obtained YOLO v4 weights after training on my custom dataset Converted weights to TensorFlow checkpoints Converted Tensorflow checkpoin
We have found the mean average precisions. In the map, there are TP, FP, FN values but not TN. So, we are trying to find the TN values from which we can measure
In testing an object detection algorithm in large images, we check our detected bounding boxes against the coordinates given for the ground truth rectangles. A
I am trying to train a mask rcnn model using the tensorflow object detection api. I am using custom dataset which is grey scale CT scan images of Lung of pati