tfnet | TFNet 2018 updated to run with current tensorflow | Machine Learning library

I am looking to process a video stream from webcam. I am using opencv to capture and display the video. My goal is to segment the video display window into 3 rectangles with specified width and height. When an object is detected in the rectangle then it should output left center or right. I have managed to calculated the center coordinate of the object and drawn the rectangles on the video stream display window. Based on the coordinate where it falls in one of the rectangles, then the output will be left, center or right.

My question is how do i make the output when the coordinate falls within one of the box. I assumed using if center_coord in box then output but it does not work.

I am trying get the center coordinate of the bounding box when detected and store it in a list for each FPS. Then for each detected center coordinate of the list, i want to store it in a dictionary.

The output of list should be like center_coord = ["point1" : [x1, y1], "point2" : [x2, y2], ........ ]

From that list, i want to append it into a dictionary like box_center = {"point1" : [x1, y1], "point2" : {x2, y2],.....}

i am working on a robot that detects users and follows. I am using YOLOv2 from darkflow repo for the object detection module.

As of now, i want to make the Arduino micro-controller to move the robot forward towards the bounding box when detected. There is no distance or stereo cam. It is just if bounding box detected then drive the motors forward.

This is my code for detecting bounding box in through the camera. It will be helpful if someone could direct me to the right path for any resources or tutorials. Thank you.

i am working on darknet yolov2 for object detection . I have used pip install . which is use to compile the darkflow library. after that when the darkflow is successfully installed.

Hi I have a function called

When I run my code to use my webcam for object detection, I get the following error message:

I'm running Mac OS X (10.14.4) and I'm attempting to follow YouTube tutorial; https://www.youtube.com/watch?v=bDaxeg4HKQY; Image Detection with YOLO v2 Process Video in Python + openCV

In a UNIX Terminal I'm able to do the following:

1. Configure a virtual environment and activate it; source activate tensorvid

2. Run a python script to setup the necessary dependencies python3 setup.py build_ext --inplace

3. Run a python script successfully python video_processing.py

Here is the initial code present video_processing.py:

I am getting this output when i run my code:

so i am using darkflow to detect objects(hats) in a video. It detects people wearing the hats and draws bounding boxes around the hat in a video. Now I want to save the top right and bottom left coordinates of the detected bounding boxes into a txt or csv file for further processing. I wrote the code in opencv-python. I can display the video and it draws bounding box successfully but i don't know how to save the coordinates of the boxes. Any idea how to do it?

I am using Mark jay's code for my purpose