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In this project on=bject detection is applied on real time drone using mobile net ssd.

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TelloDrone-with-KeyBoard-and-Objectdetection

This repo allows you to control a Tello drone using your keyboard and perform object detection using a pre-trained model. The drone movements are controlled using the arrow keys and specific keys for takeoff, landing, and flips. The object detection is performed on the live video feed from the drone's camera.

Prerequisites

  • Python 3.x
  • getter module
  • djitellopy library
  • pygame library
  • cv2 (OpenCV) library
  • cvzone library

Installation

  1. Clone the repository to your local machine:

    git clone https://github.com/your-username/TelloDrone-with-KeyBoard-and-Objectdetection.git
  2. Install the required dependencies:

    pip install getter djitellopy pygame opencv-python cvzone

Usage

  1. Import the necessary modules and initialize the required components:

    import getter as kg
    from djitellopy import tello
    from time import sleep
    
    kg.init()
    
    drone = tello.Tello()
    drone.connect()
  2. Define the function to get keyboard input for drone control:

    def getKeyboardInput(isFlying):
        # ... implementation ...
        return [lr, fb, ud, yw, isFlying]
  3. Implement the drone control loop:

    while True:
        inputs = getKeyboardInput(isFlying)
        isFlying = inputs[4]
        drone.send_rc_control(inputs[0], inputs[1], inputs[2], inputs[3])
        sleep(0.01)
  4. Implement object detection using the Tello drone's camera:

    # ... import necessary modules ...
    
    thres = 0.50
    nmsThres = 0.2
    
    # ... load class names and pre-trained model ...
    
    while True:
        # ... get frame from drone's camera ...
    
        # ... perform object detection ...
    
        # ... display the detected objects ...
    
        # ... get keyboard input and control the drone ...
    
        # ... display the frame ...

Contributing

Contributions are welcome! If you find any issues or have suggestions for improvements, please create a GitHub issue or submit a pull request.

License

This project is licensed under the MIT License. See the LICENSE file for more information.

Acknowledgments


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