Computer Vision Guide 👁️🤖

1. What is Computer Vision?

Computer Vision is a field of AI that enables computers to understand and process images and videos.

2. Main Tasks

- Image Classification
- Object Detection
- Face Recognition
- Image Segmentation

3. Tools Used

- OpenCV
- NumPy
- TensorFlow / PyTorch

4. Install OpenCV

pip install opencv-python

5. Read Image

import cv2

img = cv2.imread("image.jpg")
cv2.imshow("Image", img)
cv2.waitKey(0)

6. Convert to Grayscale

gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

7. Face Detection

face = cv2.CascadeClassifier('haarcascade_frontalface.xml')

faces = face.detectMultiScale(gray, 1.3, 5)

8. Deep Learning in CV

CNN → Convolutional Neural Networks
Used for image recognition

9. Real Use Cases

• Face unlock 🔐
• Self-driving cars 🚗
• Medical imaging 🏥
• Security systems 🎥