OpenCV

OpenCV pre-built installers

Tested on: Jetson Nano 4GB

To know more about the build flags look the installation guide, build section.

Jetpack (l4t)	Python	OpenCV	Install guide
4.6.1 (l4t-32.7.1)	3.6.9	4.8.0	go to page
4.6.1 (l4t-32.7.1)	3.8.0	4.8.0	go to page
4.6.1 (l4t-32.7.1)	3.10.11	4.8.0	go to page
4.6.1 (l4t-32.7.1)	3.11.3	4.8.0	WIP

Docker images

INFO

To properly run docker images on jetson, make sure you have it correctly configured. Check out docker setup

Runtime images

Here you can find images with opencv pre-installed.

Jetpack 4.6.1 (l4t-32.7.1)

Python	OpenCV	Image	Image source
3.6.9	4.8.0	l4t32.7.1-py3.6.9-ocv4.8.0	Dockerfile
3.8.0	4.8.0	l4t32.7.1-py3.8.0-ocv4.8.0	Dockerfile
3.10.11	4.8.0	l4t32.7.1-py3.10.11-ocv4.8.0	Dockerfile

Build images

Here you can find a table with the images used to build opencv and get the installation package.

Jetpack 4.6.1 (l4t-32.7.1)

Python	OpenCV	Image	Image source
3.8.0	4.8.0	l4t32.7.1-py3.8.0-ocv4.8.0-build	Dockerfile
3.10.11	4.8.0	l4t32.7.1-py3.10.11-ocv4.8.0-build	Dockerfile

Test GPU support

#!/usr/bin/env python3

# Code from https://github.com/dusty-nv/jetson-containers

print('testing OpenCV...')

import cv2
try:
    import wget
except ImportError:
    print("To run this script you need wget, install it with: pip3 install wget")
    exit(0)

print('OpenCV version:', str(cv2.__version__))
print(cv2.getBuildInformation())

try:
    print('\nGPU devices:', str(cv2.cuda.getCudaEnabledDeviceCount()))
except Exception as ex:
    print(ex)
    print('OpenCV was not built with CUDA')
    raise ex

# download test image
img_url = 'https://raw.githubusercontent.com/dusty-nv/jetson-containers/59f840abbb99f22914a7b2471da829b3dd56122e/test/data/test_0.jpg'
img_path = '/tmp/test_0.jpg'

wget.download(img_url, img_path)

# load image
img_cpu = cv2.imread(img_path)
print(f'loaded test image from {img_path}  {img_cpu.shape}  {img_cpu.dtype}')

# test GPU processing
img_gpu = cv2.cuda_GpuMat()
img_gpu.upload(img_cpu)

img_gpu = cv2.cuda.resize(img_gpu, (int(img_cpu.shape[0] / 2), int(img_cpu.shape[1] / 2)))

luv = cv2.cuda.cvtColor(img_gpu, cv2.COLOR_BGR2LUV).download()
hsv = cv2.cuda.cvtColor(img_gpu, cv2.COLOR_BGR2HSV).download()
gray = cv2.cuda.cvtColor(img_gpu, cv2.COLOR_BGR2GRAY)

img_gpu = cv2.cuda.createCLAHE(clipLimit=5.0, tileGridSize=(8, 8)).apply(gray, cv2.cuda_Stream.Null())
img_cpu = img_gpu.download()

print('OpenCV OK')