Read the input image and get its width and height. Read the text file containing class names in human readable form and extract the class names to a list. Generate different colors for di… See more

Generally in a sequential CNN network there will be only one output layer at the end. In the YOLO v3 architecture we are using there are multiple output layers giving out predicti… See more

outs = net.forward(get_output_layers(net)) Above line is where the exact feed forward through the network happens. Moment of truth. If we don’t specify the output layer names, by … See more

Even though we ignored weak detections, there will be lot of duplicate detections with overlapping bounding boxes. Non-max suppression removes boxes with high overlapping… See more

In this post, we looked at how to use OpenCV dnn module with pre-trained YOLO model to do object detection. We have only scratched the surface. There is lot more to … See more