Config 1: Supported Camera Slots by Platform
- QCS6490
- IQ-9075-EVK
- IQ-8275-EVK
- IQ615
- IQx7181
Connect the IMX577 MIPI camera sensor to the CAM3 slot of the RB3 device.
Prerequisites
See the Prerequisites section in the Python AI page for device setup, Wi-Fi, artifact download, and enabling qticamsrc and libcamera.Multimedia Applications
Camera encoding
The gst-camera-encode.py application allows you to record and encode a single camera stream. For information about the plugins used in this pipeline, see Pipeline flow.gst-camera-encode.py
Try me
Try me
1
Complete prerequisites
Ensure that you complete the Prerequisites.
2
Run the application
3
Pull output from device
Expected output
The output is saved in a file at/etc/media/recording.mp4.Pipeline flow
Camera Streaming using OpenCV
The gst-camera-opencv-resize.py application uses OpenCV APIs to capture a camera frame from a live camera stream and apply color conversion or resize. The output is displayed on the screen. For information about the plugins used in this pipeline, see Pipeline flow.gst-camera-opencv-resize.py
Try me
Try me
1
Complete prerequisites
Ensure that you complete the Prerequisites.
2
Run the application
Expected output
The stream is displayed on the screen.
Troubleshoot GTK backend failure in root mode
When running a GTK-based application as root, GTK may fail to initialize the backend. Export the active display session before running:Pipeline flow
Concurrent video playback (video wall) using Python
The gst-concurrent-videoplay-composition.py application supports concurrent video playback for MP4 AVC (H.264) videos and performs composition on a video wall display. For information about the plugins used in this pipeline, see Pipeline flow.gst-concurrent-videoplay-composition.py
Try me
Try me
1
Complete prerequisites
Ensure that you complete the Prerequisites.
2
Run the application
-c with 2, 4, 8, or 16.To display all available options:Expected output
The individual composed streams are tiled together to display as a unified stream.
Pipeline flow
Video transformation using OpenCV
The gst-opencv-transform.py application captures and transforms a video frame then displays the video on the screen using the OpenCVVideoCapture() function.
For information about the plugins used in this pipeline, see Pipeline flow.
gst-opencv-transform.py
Try me
Try me
1
Complete prerequisites
Ensure that you complete the Prerequisites.
2
Run the application
Expected output
The stream is displayed on the screen.
Pipeline flow
Multi-camera streaming using Python
The gst-multi-camera-stream-example.py application streams from two camera sensors simultaneously, composing the feeds side by side or encoding to files. For information about the plugins used in this pipeline, see Pipeline flow.gst-multi-camera-stream-example.py
This application isn’t supported in the Config #1 of the QLI 2.0 RC3 release.
Try me
Try me
1
Complete prerequisites
Ensure that you complete the Prerequisites.
2
Run the application
- Preview on display:
- Encode to file:
Expected output
For the video composition pipeline, the output is displayed as a preview.
Pipeline flow
Decode JPEG images using Python
The gst-jpg-image-decode.py application decodes JPEG images and displays them on a screen. For information about the plugins used in this pipeline, see Pipeline flow.gst-jpg-image-decode.py
Try me
Try me
1
Complete prerequisites
Ensure that you complete the Prerequisites.
2
Run the application
Expected output
The decoded images are displayed on the screen.
Pipeline flow
Transform and encode a camera stream
The gst-camera-rotate-downscale-file.py application rotates, downscales, and encodes a camera stream, saving the result to a file. For information about the plugins used in this pipeline, see Pipeline flow.gst-camera-rotate-downscale-file.py
Try me
Try me
1
Complete prerequisites
Ensure that you complete the Prerequisites.
2
Run the application
Expected output
The output is saved to a file at/etc/media/test.mp4.Pipeline flow
Troubleshooting
Model not available after running the download script?
Model not available after running the download script?
Download the model manually from IoT — Qualcomm AI Hub and push it to the device:
Running sample applications from the UART shell
Running sample applications from the UART shell
Remount the file system with read/write permissions:For Qualcomm Linux:For Ubuntu Server:
Cannot locate the qticamsrc plugin?
Cannot locate the qticamsrc plugin?
GStreamer logging and debugging
GStreamer logging and debugging

