Two part assignment.
Using Python and OpenCV you need to do the following two parts (Should be two different applications).
Tracking an object
Steps to do it properly…..
- Capture live video from Webcam
- Display live video
- convert BGR to HSV
- Display the HSV video
- Click on HSV video and capture the HSV values at the location clicked, and a few other local values of the item you are going to track.
- use a MouseCallback to print the HSV values.
- Using Sliders create scalers for the min and max values you want to track
- a Scalar will be a numpy array (np.array) that takes 3 values for minH, minS, and minV…….then a second scalar to catch the other three Max values
- create 6 trackbars, createTrackbar with callback methods to set your six variables
- Us the OpenCV inRange method to find the values between the scalars from HSV image and the result will go to a grayscale image (make it a binary image, white/black).
- Dilate, erode the grayscale image to get a better representation of the object you are tracking.
- Display the original image and the binary image where everything is black except for the object you are tracking. The tracked object will be white.
Done Part One….
- Capture an image
- Create blank images:
- grayscale image with proper dimensions
- 32f, 3 channel image
- a capture clone we’ll call image1
- One to hold the result from the absDiff function. (absolute difference)
- while loop to capture images……
- grab new frame
- I brightened image a bit first which helped
- blur the image
- take running average of frame: accumulateWeighted
- swap running average result from step 6 to same bits as frame: convertScaleAbs
- Take difference, built in OpenCV function to do a diff between two images.
- convert to grayscale
- Threshhold grayscale (using a low number)
- Blur grayscale image
- Threshhold grayscale again (using a high number)
- find contours: findContours
- Use contours to find significant blobs,
- draw polygons of blobs
- use dimensions of blobs to draw bounding boxes and center on original image
Last Updated on February 12, 2019 by Essay Pro