Phase_1.md

Getting Started With OpenCV

---

OpenCV Basics and Image Handling

1. Installation
2. Mini Task Color to Grayscale
3. Image Handling (Reading Image , Displaying , Saving , Image Dimensions, Color Channels , Grayscale Conversion)

Basic Term to have Knowledge About

1. Image -> A 2D grid of pixels (matrix of numbers)
2. Pixel -> Smallest unit of Image , a colored pixel will hold 3 values : Red Green Blue in range of 0 - 255
3. Width & Height -> Horizontal total pixels & Vertical total pixels
4. Color Channel -> A channel that stores a part of the color information for each pixel (Grayscale : 1 , RGB : 3)
5. Image Format -> the way image is compressed and stored in our device.

---

Code Lines

1. Loading Image: image = cv2.imread("path", flag)

• image -> Variable
• cv2.imread -> load and read image
• path -> image path
• flag -> default 1 = color , 0 = grayscale , -1 = unchanged

2. Display Image : cv2.imshow("Title", image) cv2.waitKey(0) cv2.destroyAllWindows()

• waitKey(0) -> to keep the image display on pause , 0 to keep the window till any key is
  pressed on keyboard
• destroyAllWindows() -> to close that created window

3. Saving Image: cv2.imwrite("output.jpg", image)

• imwrite() -> saves the image to hard disk

4. Image Dimension: image.shape

• .shape -> will return height , width , and channel.

5. GrayScale Conversion: gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

• .cvtColor -> convert color to change color of image
• cv2.COLOR_BGR2GRAY -> change BGR to GRAY

---

📝 Assignment: Grayscale Image Converter

2.Image Transformations and Manipulations