treecounter-ML VS Laser_control

You can take a look at an example implementation of the code here. I was wondering how I can extract the feature maps from a particular layer using the dnn module. I thought of using the net.forward() to do it, but I am not sure if this is the correct way, and more importantly, I do not want to run two forward passes on the same image(I do not think it will be an elegant implementation).

Overlapping Bounding Boxes: As you can see from the image, I have quite a lot of overlapping bounding boxes around each detected object. I did some reading online, and found that I needed to use Non Maxima Suppression to filter the detections. I did that, and adjusted the NMS_THRESH parameter(The current results are at confidence threshold of 95% and NMS threshold of 100%). I am perplexed by this, and what I would like to have is some sort of a filter, where say if I already have a box at (x, y, w, h), then there should be like a barrier around the surrounding n pixels, where even if a box is detected, it will not be placed. If you want to take a look at my code, you can find the repository here and the particular file here.

I am not being able to work the Sort tracker into my current application code. It would be great if any of you could help me out here. The program crashes when I use the tracker.update() method.

The GitHub codebase hasn't been touched in 10 months or so. Ildar Rakhmatulin, are you just stringing us along? PM me if you would like some help!

Sorry everyone , editor of the paper deleted link for GitHub - https://github.com/Ildaron/Laser_control

all sources there