- #ARDUINO CAMERA FRAME BY FRAME OBJECT DITECTION HOW TO#
- #ARDUINO CAMERA FRAME BY FRAME OBJECT DITECTION INSTALL#
As the logo is not square, we need to create a mask to insert it.Resize the logo to fit the size of the contour.Based on the contour found, get the size of it, which we use to scale (resize) the logo we want to insert.Ideally we only find one, but there might be small objects, which we will discard. Then we find all the contours in the mask.
To make it more visible and easier for detection, we dilate the mask.This is where the HSV color model makes it easy. Make a mask with all object of the specific color.It contains of Hue, Saturation, and Volume. To easier identify a specific color object in the frame, we convert the image to the HSV color model.This is the step where we capture the raw frame from the webcam.The process of finding area to insert logo, masking it out, inserting and showing the frame. The process is depicted in the image below followed by an explanation of all the steps.
#ARDUINO CAMERA FRAME BY FRAME OBJECT DITECTION HOW TO#
Then in this section we will explain the process for how to identify a object by color, scale the object we want to insert, and how to insert it into the frame. In the last section we looked at how a webcam stream is processed. The process flow to identify and track object to insert scaled logo Pro-processing and setup is most often done before the while-loop. The processing will be between step 1 and step 2 in the above code.
That is how processing works for webcam flow. The final part of the while-loop is checking if the key q has been pressed, if so, break out of the while-loop and release webcam and destroy all windows. To show the frame we read from the webcam, we call the cv2.imshow(“Webcam”, frame), which will create a window with the frame (image from your webcam). It is done calling the cap.read(), which returns a return code and the frame (we ignore the return code _). The the while-loop where you capture the video stream frame by frame. Then you capture the webcam by calling the cv2.VideoCapture(0), where we assume you have 1 webcam and it is the first one (0).
#ARDUINO CAMERA FRAME BY FRAME OBJECT DITECTION INSTALL#
If you need help to install it read this tutorial. # Step 2: Show the frame with blurred backgroundįirst we import the OpenCV library cv2.
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