Computer_vision :

-- OpneCV Basics --

--> From OpenCV Basics folder you may learn about functions and techniques that opencv offers and after that you can apply that according your computer vision use cases. from here you can learn reading of image/videos/webcame, convert images into grayscale, blur, canny, image dialation..(thik liness), Erorde image, resizing and cropping images, draw shapes(circle,rectangle,lines,etc..) and write text on images, stacking images/ display multiple images, color detection using tracker and cv2 then shape detection, and face detection using haarcascade classifier.

Apply knowledge of opencv and use color tracker you can change color as per your need, the ouput of virtula painting will look like as below..

Use Yolo4 with single frame/image to detect multiple object from it. as well as detect objects from video.. output will be look like belows..

Video result:

Name		Name	Last commit message	Last commit date
Latest commit History 21 Commits
Object_detections		Object_detections
OpenCV_Basics		OpenCV_Basics
Copy_of_Detectron2_Tutorial.ipynb		Copy_of_Detectron2_Tutorial.ipynb
Faster_RCNN(CustomTraining_with_roboflow).ipynb		Faster_RCNN(CustomTraining_with_roboflow).ipynb
Faster_RCNN.ipynb		Faster_RCNN.ipynb
FatserRCNN_withPeacock.ipynb		FatserRCNN_withPeacock.ipynb
LICENSE		LICENSE
POC_Faster_RCNN.ipynb		POC_Faster_RCNN.ipynb
POC_SSD.ipynb		POC_SSD.ipynb
README.md		README.md
U_Net_for_Image_Segmentation_From_Scratch_Using_TensorFlow_v4.ipynb		U_Net_for_Image_Segmentation_From_Scratch_Using_TensorFlow_v4.ipynb
Unet_Image_segmentation.ipynb		Unet_Image_segmentation.ipynb
YOLOv5_POC.ipynb		YOLOv5_POC.ipynb
YOLOv5_withPeacock.ipynb		YOLOv5_withPeacock.ipynb
YOLOv7_POC.ipynb		YOLOv7_POC.ipynb
YOLOv7_withPeacock.ipynb		YOLOv7_withPeacock.ipynb