Use JetCam

Use JetCam1. JetCam installation2. JetCam use2.1, CSI cameraMain code explanationCall the cameraGet the camera image2.1.1, single-channel camera2.1.2, multi-channel camera2.2, USB cameraReferences

JetCam is an easy-to-use Python library developed by NVIDIA for the Jetson platform, which is used to integrate and operate USB cameras or CSI cameras

1. JetCam installation


git clone https://github.com/NVIDIA-AI-IOT/jetcam


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cd jetcam


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sudo python3 setup.py install


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sudo pip3 install ipywidgets

2. JetCam use

JetCam provides typical sample programs to demonstrate the calling of CSI and USB cameras to users.


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The example needs to be run using Jupyter Lab. Using our factory image system, you can directly access it through the motherboard IP: 8888!

2.1, CSI camera

Enter the folder where the CSI camera is located on the Jupyter Lab web page and open the corresponding folder:


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/home/jetson/jetcam/notebooks/csi_camera

Note: If you are not familiar with Jupyter Lab, you can read the Jupyter Lab tutorial to learn basic operations!

Main code explanation

Call the camera

width: image output width

height: image output height


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from jetcam.csi_camera import CSICamera
camera = CSICamera(width=224, height=224)

Get the camera image


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image = camera.read()

2.1.1, single-channel camera

Source code path


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/home/jetson/jetcam/notebooks/csi_camera/csi_camera.ipynb

Running phenomenon

After opening the program file, a single unit block runs from top to bottom:

2.1.2, multi-channel camera

Source code path


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/home/jetson/jetcam/notebooks/csi_camera/multi_csi_camera.ipynb

Running phenomenon

After opening the program file, a single unit block runs from top to bottom:

2.2, USB camera

Jupyter Lab enters the folder where the USB camera is located and opens the file. The factory image system folder path is:


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/home/jetson/jetcam/notebooks/usb_camera

References

https://github.com/NVIDIA-AI-IOT/jetcam