OpenCV Perspective Transformation: Transforming Webcam Frames
The given code is using OpenCV library to capture video from a webcam and perform perspective transformation on the captured frame.
Here's a breakdown of what the code does:
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Imports necessary libraries: 'cv2' for computer vision operations and 'numpy' for numerical operations.
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Initializes a video capture object 'cap' to capture video from the default webcam (index 0).
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Enters an infinite loop to continuously capture frames from the webcam.
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Reads a frame from the video capture object using 'cap.read()' and stores it in 'img'.
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Selects a region of interest (ROI) in the frame by slicing the image array. The specified slice '[200:420, 200:450, :]' represents a rectangular region starting from pixel row 200 to row 420 and column 200 to column 450, including all color channels.
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Resizes the ROI using 'cv2.resize()' function. The 'fx' and 'fy' parameters control the scaling factors along the horizontal and vertical dimensions. In this case, the image is scaled by a factor of 2 in both dimensions.
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Defines two sets of corresponding points 'pts1' and 'pts2' for perspective transformation. 'pts1' represents the four corners of the ROI in the original image, and 'pts2' represents the desired positions of these corners in the transformed image.
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Calculates the perspective transformation matrix 'M' using 'cv2.getPerspectiveTransform()' function, which takes 'pts1' and 'pts2' as input.
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Applies the perspective transformation to the resized ROI using 'cv2.warpPerspective()' function. The output image 'img' is obtained by warping the ROI according to the transformation matrix 'M' and resizing it to a size of (640, 480) pixels.
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Displays the transformed image using 'cv2.imshow()' function.
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Waits for a key press event with a delay of 1 millisecond using 'cv2.waitKey(1)'. If the pressed key is 'w', the loop continues. Otherwise, the program exits.
Note: The commented lines in the code are alternative options for defining the corresponding points 'pts1' and 'pts2'.
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