A structured roadmap to learn Computer Vision using Python and OpenCV, from beginner to advanced.
Before starting Computer Vision, make sure you know:
- Python Programming
- NumPy
- Basic Mathematics
- Linear Algebra
- Coordinate System
- Matrix Operations
- Matplotlib
- Basic Image Concepts
Install required libraries:
pip install opencv-python
pip install opencv-contrib-python
pip install numpy
pip install matplotlib
pip install pillow
pip install imutilsVerify installation:
import cv2
print(cv2.__version__)| Module No. | Main Title | Status | Link |
|---|---|---|---|
| Module 1 | Introduction to Computer Vision | ✅ Completed | 👉 |
| Module 2 | Image Basics | ✅ Completed | 👉 |
| Module 3 | Image Manipulation | ✅ Completed | 👉 |
| Module 4 | Drawing on Images | ✅ Completed | 👉 |
| Module 5 | Color Spaces | ✅ Completed | 👉 |
| Module 6 | Image Arithmetic | ✅ Completed | 👉 |
| Module 7 | Image Filtering | ✅ Completed | 👉 |
| Module 8 | Thresholding | ✅ Completed | 👉 |
| Module 9 | Morphological Operations | ✅ Completed | 👉 |
| Module 10 | Edge Detection | ✅ Completed | 👉 |
| Module 11 | Contours | ✅ Completed | 👉 |
| Module 12 | Histograms | ✅ Completed | 👉 |
| Module 13 | Geometric Transformations | ✅ Completed | 👉 |
| Module 14 | Feature Detection | ✅ Completed | 👉 |
| Module 15 | Image Matching | ✅ Completed | 👉 |
| Module 16 | Object Detection Basics | ✅ Completed | 👉 |
| Module 17 | Video Processing | 🚧 In Progress | 👉 |
| Module 18 | Motion Detection | ⏳ Coming Soon | 👉 |
| Module 19 | Object Tracking | ⏳ Coming Soon | 👉 |
| Module 20 | Deep Learning with OpenCV | ⏳ Coming Soon | 👉 |
| Module 21 | Face Recognition | ⏳ Coming Soon | 👉 |
| Module 22 | OCR | ⏳ Coming Soon | 👉 |
| Module 23 | Image Segmentation | ⏳ Coming Soon | 👉 |
| Module 24 | 3D Vision Basics | ⏳ Coming Soon | 👉 |
| Module 25 | AI-Based Computer Vision | ⏳ Coming Soon | 👉 |
| Project | Project Files | ⏳ Coming Soon | 👉 |
- ✅ Completed
- 🚧 In Progress
- ⏳ Coming Soon
- What is Computer Vision?
- Applications
- OpenCV Introduction
- Reading Images
- Displaying Images
- Saving Images
- Image Formats
- Color Spaces Overview
- Read an image
- Display image
- Save image
- Load multiple images
- Pixels
- Resolution
- Width & Height
- Channels
- RGB
- BGR
- Grayscale
- Alpha Channel
- Access Pixel Values
- Modify Pixels
- Image Properties
- Copy Images
- Resize Image
- Crop Image
- Rotate Image
- Flip Image
- Translate Image
- Scale Image
- Aspect Ratio
- Passport photo editor
- Thumbnail creator
- Image rotation tool
- Lines
- Rectangles
- Circles
- Ellipse
- Polygons
- Text
- Fonts
- Draw shapes
- Create name card
- Draw coordinate system
- BGR
- RGB
- HSV
- LAB
- YCrCb
- Grayscale
- Convert between color spaces
- Detect colors
- Color masking
- Addition
- Subtraction
- Bitwise Operations
- Image Blending
- Transparency
- Watermark images
- Logo overlay
- Blend two images
- Blur
- Gaussian Blur
- Median Blur
- Bilateral Filter
- Sharpening
- Noise removal
- Smooth images
- Compare filters
- Binary Threshold
- Adaptive Threshold
- Otsu Threshold
- Inverse Threshold
- Document scanner
- Text extraction preprocessing
- Erosion
- Dilation
- Opening
- Closing
- Gradient
- Top Hat
- Black Hat
- Remove noise
- Enhance text
- Shape cleanup
- Sobel
- Scharr
- Laplacian
- Canny Edge Detection
- Object boundaries
- Sketch effect
- Find Contours
- Draw Contours
- Contour Area
- Perimeter
- Moments
- Convex Hull
- Shape detector
- Coin counter
- Histogram
- Histogram Equalization
- CLAHE
- Histogram Comparison
- Improve image contrast
- Compare images
- Affine Transform
- Perspective Transform
- Homography
- Document scanner
- Bird eye view
- Harris Corner
- Shi-Tomasi
- FAST
- ORB
- SIFT
- SURF
- BRISK
- Feature matching
- Panorama basics
- Template Matching
- Feature Matching
- BFMatcher
- FLANN
- Find logo
- Match objects
- Haar Cascade
- Face Detection
- Eye Detection
- Smile Detection
- Webcam face detector
- Face counter
- Read Video
- Write Video
- Webcam
- FPS
- Video Properties
- Webcam recorder
- Video player
- Frame Difference
- Background Subtraction
- Optical Flow
- Motion detector
- Security camera
- CSRT
- KCF
- MOSSE
- MedianFlow
- Track moving object
- Ball tracking
- DNN Module
- YOLO
- SSD
- MobileNet
- TensorFlow Models
- Object Detection
- Person Detection
- Vehicle Detection
- Face Detection
- Face Encoding
- Face Recognition
- Face Verification
- Attendance System
- Face Login
- Tesseract OCR
- Text Detection
- Document Recognition
- ID Card Reader
- Invoice Reader
- Watershed
- GrabCut
- Semantic Segmentation
- Instance Segmentation
- Background removal
- Foreground extraction
- Stereo Vision
- Depth Estimation
- Camera Calibration
- CNN Basics
- Transfer Learning
- Classification
- Detection
- Segmentation
- TensorFlow
- PyTorch
- Ultralytics YOLO
- Image Viewer
- Photo Editor
- Color Detector
- Shape Detector
- Document Scanner
- Face Detection
- Motion Detection
- Barcode Scanner
- QR Code Scanner
- Coin Counter
- Face Recognition System
- Automatic Attendance
- License Plate Recognition
- Vehicle Detection
- Object Tracking
- OCR System
- Lane Detection
- People Counter
- PPE Detection
- Helmet Detection
- Fire Detection
- Mask Detection
- Animal Detection
- Medical Image Analysis
- Plant Disease Detection
- OpenCV
- NumPy
- Matplotlib
- Pillow
- imutils
- scikit-image
- scikit-learn
- TensorFlow
- PyTorch
- Ultralytics YOLO
- MediaPipe
- Image Processing Fundamentals
- Camera Calibration
- Feature Engineering
- CNN Architecture
- Transfer Learning
- Object Detection Algorithms
- Image Segmentation
- Pose Estimation
- Human Action Recognition
- Vision Transformers (ViT)
After completing this roadmap, you should be able to:
- Process and manipulate images
- Detect objects and faces
- Track moving objects
- Perform OCR
- Build AI-powered Computer Vision applications
- Work with webcams and video streams
- Deploy Computer Vision projects for real-world applications
By the end of this learning path, you'll have a solid foundation in Computer Vision with OpenCV and be ready to build real-world applications such as face recognition systems, object detectors, OCR solutions, autonomous vision systems, and AI-powered image analysis tools.# Computer-Vision-Learning-Path-using-OpenCV