# OpenCV Python Demos

Color Blob detection

A simple color blob detector using OpenCV 3.1 and Python.

This application tracks the color identified by specific HSV ranges, displays the blob count in that frame and draws bounding boxes across all detected blobs. By default, the code is programmed to identify red, but it can be changed in the "Object Color identification" window with H,S,V trackbars presented to the user.

Requirments

Environment Setup

• Download & Install OpenCV 3.1.0
• Download & Install Python 2.7
• Using pip install numpy and matplotlib
• Copy cv2.pyd file from [OPENCV_LOCATION]/build/python/2.7/[x64 or x86]/ to [PYTHON_LOCATION]/Lib/site_packages/

It was tested on Windows and Mac OS X.

Usage

Run python src/run_color_tracking.py

Steps involved

The code performs these following steps:

1. Read a frame from a video file and detect the red blobs and present it to the user.
2. User can change the color by moving the H,S,V trackbars and accordingly choose different color and press c to confirm
3. These H,S,V values are used in the rest of frames in the video to idenfify the blobs
4. Bounding boxes(blue color) are drawn for these identified blobs and display the frame along with count and frame number

Basically the functions get_color_of_object handles the color selection and detect_object applies necessary image processing techniques to identify the blobs and draw the bounding boxes

Here are some of the snapshots

License

This code is GNU GENERAL PUBLIC LICENSED.

Contributing

If you have any suggestions or identified bugs please feel free to post them!