Text Generation, Object Detection, Reinforcement Learning, Machine Learning, Artificial Intelligence.
net.forward(output_layers) # Get information about detected objects class_ids = [] confidences = [] boxes = [] for out in outs: for detection in out: scores = detection[5:] class_id = np.argmax(scores) confidence = scores[class_id] if confidence > 0.5: # Object detected center_x = int(detection[0]