JetCam
JetCam is an easy to use Python camera interface for NVIDIA Jetson.
-
Works with various USB and CSI cameras using Jetson's Accelerated GStreamer Plugins
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Easily read images as
numpyarrays withimage = camera.read() -
Set the camera to
running = Trueto attach callbacks to new frames
JetCam makes it easy to prototype AI projects in Python, especially within the Jupyter Lab programming environment installed in JetCard.
If you find an issue, please let us know!
Setup
git clone https://github.com/NVIDIA-AI-IOT/jetcam
cd jetcam
sudo python3 setup.py install
JetCam is tested against a system configured with the JetCard setup. Different system configurations may require additional steps.
Usage
Below we show some usage examples. You can find more in the notebooks.
Create CSI camera
Call CSICamera to use a compatible CSI camera. capture_width, capture_height, and capture_fps will control the capture shape and rate that images are aquired. width and height control the final output shape of the image as returned by the read function.
from jetcam.csi_camera import CSICamera
camera = CSICamera(width=224, height=224, capture_width=1080, capture_height=720, capture_fps=30)
Create USB camera
Call USBCamera to use a compatbile USB camera. The same parameters as CSICamera apply, along with a parameter capture_device that indicates the device index. You can check the device index by calling ls /dev/video*.
from jetcam.usb_camera import USBCamera
camera = USBCamera(capture_device=1)
Read
Call read() to read the latest image as a numpy.ndarray of data type np.uint8 and shape (224, 224, 3). The color format is BGR8.
image = camera.read()
The read function also updates the camera's internal value attribute.
camera.read()
image = camera.value
Callback
You can also set the camera to running = True, which will spawn a thread that acquires images from the camera. These will update the camera's value attribute automatically. You can attach a callback to the value using the traitlets library. This will call the callback with the new camera value as well as the old camera value
camera.running = True
def callback(change):
new_image = change['new']
# do some processing...
camera.observe(callback, names='value')
Cameras
CSI Cameras
These cameras work with the CSICamera class. Try them out by following the example notebook.
| Model | Infared | FOV | Resolution | Cost |
|---|---|---|---|---|
| Raspberry Pi Camera V2 | 62.2 | 3280x2464 | $25 | |
| Raspberry Pi Camera V2 (NOIR) | x | 62.2 | 3280x2464 | $31 |
| Arducam IMX219 CS lens mount | 3280x2464 | $65 | ||
| Arducam IMX219 M12 lens mount | 3280x2464 | $60 | ||
| LI-IMX219-MIPI-FF-NANO | 3280x2464 | $29 | ||
| WaveShare IMX219-77 | 77 | 3280x2464 | $19 | |
| WaveShare IMX219-77IR | x | 77 | 3280x2464 | $21 |
| WaveShare IMX219-120 | 120 | 3280x2464 | $20 | |
| WaveShare IMX219-160 | 160 | 3280x2464 | $23 | |
| WaveShare IMX219-160IR | x | 160 | 3280x2464 | $25 |
| WaveShare IMX219-200 | 200 | 3280x2464 | $27 |
USB Cameras
These cameras work with the USBCamera class. Try them out by following the example notebook.
| Model | Infared | FOV | Resolution | Cost |
|---|---|---|---|---|
| Logitech C270 | 60 | 1280x720 | $18 |
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