OpenCV and Computer Vision

Learning HOW can I use OpenCV to handle videos.

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Chapters

We talked about Image & Video Processing with Deep Laerning.
If you want to know detailed chaptered, please check this

0. Pre Requisites
1. NumPy Images Basics
2. OpenCV Images Basics
3. Image Processing
4. OpenCV Video Basics
5. OpenCV Object Detection
6. Object Tracking
7. Deep Learning
8. Yolo V3
9. Project

Detailed Chapter

0. Pre Requisites
   1. virtual environment
1. NumPy Images Basics
   1. pyscript.py
   2. numpy tutorial.ipynb
   3. numpy images.ipynb
   4. numpy image assesment.ipynb
2. OpenCV Images Basics
   1. open image.ipynb
   2. open image in jupiter lab.ipynb
   3. open image in python.py
   4. draw on images.ipynb
   5. draw custom on images.ipynb
   6. draw circle on images with mouse-click.ipynb
   7. draw circle on images with mouse-drag.ipynb
   8. test assesment.ipynb
3. Image Processing
   1. HSL & HSV.ipynb
   2. image blending.ipynb
   3. image blending with mask.ipynb
   4. binary image.ipynb
   5. blur smooting.ipynb
   6. morphological operator.ipynb
   7. gradients.ipynb
   8. histogram.ipynb
   9. histogram eequalization.ipynb
   10. histogram equalization in colored image.ipynb
   11. test assesment.ipynb.ipynb
4. OpenCV Video Basics
   1. connect default camera.ipynb
   2. video with camera.ipynb
   3. use video.ipynb
   4. draw on live camera.ipynb
   5. draw on live camera with mouse click.ipynb
   6. test assessment.ipynb
5. OpenCV Object Detection
   1. template matching.ipynb
   2. corner detection (harris corner).ipynb
   3. corner detection (shi tomasi corner).ipynb
   4. canny edge detector.ipynb
   5. grid detector.ipynb
   6. grid detector dot.ipynb
   7. contour detection.ipynb
   8. feature matching (orb descriptors).ipynb
   9. feature matching (sift descriptors).ipynb
   10. feature matching (flann based matcher).ipynb
   11. feature matching (flann based matcher & davanced).ipynb
   12. watershed algorithm (why are we doing).ipynb
   13. watershed algorithm (how can we do).ipynb
   14. watershed algorithm (custom seed project).ipynb
   15. face detection.ipynb
   16. test assesment.ipynb
6. Object Tracking
   1. Lucas Kanade.ipynb
   2. Lucas Kanade Official.ipynb
   3. Dense.ipynb
   4. MeanShift.ipynb
   5. MeanSift.ipynb
   6. CAMShift.ipynb
   7. built in api.ipynb
7. Deep Learning
   1. keras fake paper money.ipynb
   2. MNIST CNN.ipynb
   3. CIFAR-10 CNN.ipynb
   4. CIFAR-10 (large) CNN.ipynb
   5. CUSTOM CNN.ipynb
   6. DL CV Assessment.ipynb
8. Yolo V3
   1. YOLO Object Detection.ipynb
9. Project
   1. main.ipynb