Computer Vision Engineering

open cv computer visions package used in python if youre a beginner or youre a computer enthusiast then it will very usefull for you, because this repository contains the opencv tutorial from the beginning at a order of Tutorial names!! So, Enjoy!!, Happy Coding!!

Repo Contents:

1. Computer Vision Tutorial 1 - Getting Started with Images

2. Computer Vision Tutorial 2 - Basic Image Manipulations

3. Computer Vision Tutorial 3 - Annotating Images

4. Computer Vision Tutorial 4 - Basic Image Enchancement using matthematical operations

5. Computer Vision Tutorial 5 - Accessing camera using opencv

6. Computer Vision Tutorial 6 - Writing a video using opencv

7. Computer Vision Tutorial 7 - Using filters on live

8. Computer Vision Tutorial 8 - Image Alignment

9. Computer Vision Tutorial 9 - Creating panoramas using opencv

10. Computer Vision Tutorial 10 - High Dynamic Range (HDR) Imaging

11. Computer Vision Tutorial 11 - Object Tracking

12. Computer Vision Tutorial 12 - Face Detection

13. Computer Vision Tutorial 13 - Object Detection using Tensorflow Model

14. Computer Vision Tutorial 14 - Pose Detection

15. handTrackingBasics - Hand tracking using opencv and mediapipe to install mediapipe use:
    pip install mediapipe
    use the below image for the hand landmarks reference:

    

16. generatingArucoMarkers - Code to generate aruco markers for marker based AR still using opencv-python to generate aruco markers sample images generated by the program

    

17. markerDetection - After generating markers for the marker based AR next, we need to detect the markers. so, this file contains of the basics of marker detection using opencv-python sample images:

    

18. imageAugmentationBasics - Image augmentation basics source code

    screenshots:

    

19. poseEstimationBasics - Pose Estimation using open-cv and mediapipe

    use the below image to refer the pose estimation landmark

    

20. faceDetectionBasics - Face Detection using open-cv and mediapipe

    result:

    

21. faceMeshBasics - Face Mesh using open-cv and mediapipe

    result:

    

22. fingerCounter - Counting fingers using open-cv and mediapipe

    result:

    

23. ai_virtual_mouse - Virtual mouse using opencv-python and mediapipe

    result:

    

24. ai_virtual_keyboard - Virtual keyboard using opencv-python and mediapipe

    result:

    

25. useful_utils_opencv - Contains very useful random functions like cropping video, reversing video, saving video, etc

26. image_classification_using_scikit_learn - image classification using scikit learn. dataset used for the classification Dataset Link

27. image_classification_with_yolo - image classification using yolov8. dataset used for the classification Dataset Link

28. image_classification_with_tm - image class using teachable machine Link to the teachable machine , and the code file is checking the models accuracy score dataset used for this file is the same of yolov8

29. parking_spot_detection_and_counter - Parking spot counter on live video with machine learning image classification technique using scikit-learn. Link to the data, model, and position Link to the files used in this project

    result:

    

30. american_sign_language_detection - american sign language detection using opencv, mediapipe and yolov8 for image classification. dataset and model used for this project Link

    result:

    

31. object_detection_with_yolo - yolo-basics - This code file covers the yolo basic detection with images, videos, and real-time webcam

    result:

    

32. Project 1 Car Counter Car counter project using yolo and for tracking we are using sort module. The video used in the project you can find here Link

    result:

    

33. playing_videos_using_cv2_streamlit.py - Sample code of playing videos using streamlit and opencv-python

34. ElectionProject2k24 - A simple flask application to access camera and to capture photo

35. streamlit_multiple_cameras.py - Accessing multiple cameras using streamlit

36. Person-Counter - Customer in & Customer out count from a shop using opencv-python, sort, yolov8

    result:

    

37. ImagesWithSpecificExposure - To create images with specific exposure timings manually.

38. FeatureMatching - Finding the matching patterns between two images (There will be two files one is ipynb and other one is py file)

Note

Google colab notebbok not working on git because file too large so for code Click Here!!

39. Extracting Digits With Easy OCR Extracting digits from an odometer using easy-ocr library.

40. Training a custom model using yolo with custom dataset Trained a custom model using yolo with custom dataset of images with the size of 640x640

41. preparing_dataset_with_image_annotation This notebook will guide you how to use labels.txt file for image annotations and cropping

42. CNN-TRAINING-FILE

    • dataset_processing.py : Preparing dataset with custom data using the labels.txt file downloaded from cvat tool with label and annotations, cropping and resizing images for keras (224x224) size.

43. Parquet Dataset Prepration

    • parquet_dataset_preparation.py : Preparing parquet dataset using pandas, Pillow and pyarrow

44. Converting MRI Scans to Colored Images

    • ConvertingMRIScanstoColoredImages.ipynb : Converting mri images to colored images using opencv, matplotlib and monai (medical open network for Artificial Intelligence)

45. Face Match

    • face_match : Face match using face recognition

46. SwinTransformerForSingleImage

    • This to demonstrate the swintransformer actual workflow with single image

47. UsingApretrainedSwinTransformerForClassification

    • Using a pretrained swin transformer model for image classification

      dataset used for training model you can find here.

48. face_rec_web_cam

    • Using webcam for face recognition

    

49. liveness_detection_webcam

    • Using webcam for liveness detection

    

50. compressing_image_using_python

    • Compressing image size using python

    

51. not_looking_at_camera.py

    • Python program to detect the user looking into camera or not

      

52. eye_blink_detector.py

    • Eye Blink Counter for liveness detection

      

53. GettingStartedWithDiffUsersPart1

    • Using diffuers to generatw Text-To-Image

54. detecting_age_n_gender

    • detecting age and gender using deepface module

      

55. detecting_emotion

    • detecting emotion using deepface module

    

56. face_detection_using_diff_yolo_models

    • detecting faces and getting accuracy for different yolov models suchas yolov8, yolov11s, yolov11n & yolov11m

    

57. anti_spoof_detection

    • anti spoof detection using deepface module

    

58. ConvertingGrayScaleImageToColor

    • Converting grayscale images into color using opencv, deep neural network and streamlit

    

59. face_detection_using_insight_face

    • Detecting faces and facial features using insightface and opencv-python module

    

60. face_recognition_using_insight_face

    • Recognising faces using insightface and opencv-python module

    

61. Ultralytics_yolo11

    • Using yolo11 for different tasks such as detection, segmentation, instant segmentation, post detection, etc

62. pose_estimation_using_yolo

    • using yolo11 for pose estimation