AI Virtual Drag and Drop using OpenCv issue #844

Virtual Drag and Drop Using OpenCV/readme.md

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+# AI Virtual Drag and Drop
+
+This project uses OpenCV and cvzone's HandTrackingModule to create a virtual drag and drop interface. The program captures video from the webcam, detects hands, and allows the user to drag and drop an image using their index finger and thumb.
+
+## Features
+- Real-time hand detection using the webcam.
+- Virtual drag and drop functionality for a specified image.
+- Simple and intuitive interface.
+
+## Installation
+
+1. Clone the repository:
+    ```bash
+    git clone https://github.com/yourusername/AI-Virtual-Drag-and-Drop.git
+    cd AI-Virtual-Drag-and-Drop
+    ```
+
+2. Install the required packages:
+    ```bash
+    pip install -r requirements.txt
+    ```
+
+## Usage
+
+1. Place the image you want to use (e.g., `gates.jpg`) in the same directory as the script.
+2. Run the script:
+    ```bash
+    python drag_and_drop.py
+    ```
+
+## Requirements
+- Python 3.x
+- OpenCV
+- cvzone
+
+## How it works
+
+The script captures video frames from the webcam and uses the HandTrackingModule from cvzone to detect hands. When the distance between the index finger and thumb is less than a certain threshold, the image can be dragged around the screen by moving the hand.
+
+

Virtual Drag and Drop Using OpenCV/requirement.txt

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+#required packages/libraries that need to installed
+
+opencv-python
+cvzone

Virtual Drag and Drop Using OpenCV/virtualDragDrop.ipynb

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+import cv2 as cv
+from cvzone.HandTrackingModule import HandDetector
+
+cap=cv.VideoCapture(0)
+hd=HandDetector()
+
+image=cv.imread('gates.jpg')
+image=cv.resize(image,(150,150))
+x,y=100,100
+
+while 1:
+    h,w,c=image.shape
+    ret,img=cap.read()
+
+    img=cv.flip(img,1)
+    hands,img=hd.findHands(img,flipType=False)
+
+    if hands:
+        lm=hands[0]['lmList']
+        #print(lm)
+        length,info,img=hd.findDistance(lm[8][0:2],lm[4][0:2],img)
+        print(length) 
+
+        if length<20:
+            pointer=lm[8]
+            if x <pointer[0]<x+w and y<pointer[1]<y+h:  
+                x,y=pointer[0]-w//2,pointer[1]-h//2
+    img[y:y+h,x:x+w]=image
+    cv.imshow('frame',img)
+    cv.waitKey(1)