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A Python camera interface for the Jetson Nano

Project description

NanoCamera MIT License

A simple to use camera interface for the Jetson Nano for working with USB and CSI cameras in Python.

It currently supports the following types of camera:

  • Works with CSI Cameras (Tested and Works)
  • Works with various USB cameras (Tested with Logitech USB camera)
  • Works with IP Cameras (Future version)


  • It is OpenCV ready. Image file can be called directly with OpenCV imshow
  • Image file is a numpy RGB array.
  • Support different Camera Flip Mode (Counterclockwise, Rotate 180 degress, Clockwise - 90 degrees, Horizontal Flip, Vertical Flip)
  • Can be used with multiple cameras
  • Support Frame rate enforcement. *Only available for USB cameras.
  • It is based on Accelerated GStreamer Plugins
  • Should work with other Jetson boards like Jetson TX1, TX2 and others (Not tested)
  • Easily read images as numpy arrays with image =


This library requires OpenCV to be installed to work.


Installation is simple. Can be installed in two ways with Pip or Manually.

Pip Installation
pip3 install nanocamera 
Manual Installation
git clone
cd NanoCamera
sudo python3 install

Usage & Example

Using NanoCamera is super easy. Below we show some usage examples. You can find more in the examples.

Working with CSI Camera

For CSI Cameras, the camera_type = 0.

Find here for full CSI camera example

Python Example - Create CSI camera using default FPS=30, default image size: 640 by 480 and with no rotation (flip=0)

import nanocamera as nano
# Create the Camera instance for 640 by 480
camera = nano.Camera()

Customizing the width and height

import nanocamera as nano
# Create the Camera instance for No rotation (flip=0) with size of 1280 by 800
camera = nano.Camera(flip=0, width=1280, height=800, fps=30)

if image is inverted, set flip = 2

Working with USB Camera

For USB Cameras, set the camera_type = 1, and set the device_id as well Find here for full USB camera example

Python Example - Create USB camera connected to /dev/video1

import nanocamera as nano
# Create the Camera instance for No rotation (flip=0) with size of 640 by 480
camera = nano.Camera(camera_type=1, device_id=1, width=640, height=480, fps=30)

Enable frame rate enforcement i.e force the camera to work at the given frame rate

import nanocamera as nano
# enforce the capture frame rate with the enforce_fps=True
camera = nano.Camera(camera_type=1, device_id=1, width=640, height=480, fps=30, enforce_fps=True)

You can see connected USB cameras by running :

ls /dev/video*
# for usb camera /dev/video2, the device_id will be 2

Reading Camera

Call read() to read the latest image as a numpy.ndarray. The color format is BGR8.

frame =

A Simple program to read from the CSI camera and display with OpenCV

import cv2
#from nanocamera.NanoCam import Camera
import nanocamera as nano

if __name__ == '__main__':
    # Create the Camera instance
    camera = nano.Camera(flip=0, width=640, height=480, fps=30)
    print('CSI Camera is now ready')
    while True:
            # read the camera image
            frame =
            # display the frame
            cv2.imshow("Video Frame", frame)
            if cv2.waitKey(25) & 0xFF == ord('q'):
        except KeyboardInterrupt:

    # close the camera instance

    # remove camera object
    del camera

See also

Project details

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