This container is an IoT Edge module that can read a video stream from a camera or from a video file and optionally send frames to IoT Edge module for processing. It forwards all processing results to the Edge Hub. It is a Linux Docker container made for x64 and ARM processors.
Build the .Dockerfile and deploy it to an Azure IoT Edge device. The camera mount path or the video file must be provided through the VIDEO_PATH environment variable:
- Camera mount:
- In the deployment manifest:
"createOptions": "{\"Env\":[\"VIDEO_PATH=/dev/video0\"]}"
- Video file:
- Make sure to include the video file in the .Dockerfile:
ADD ./MyVideos/ ./MyVideos/.- In the deployment manifest:
"createOptions": "{\"Env\":[\"VIDEO_PATH=./MyVideo.mp4\"]}"
The following parameters are optional and can be specified via environment variables in the deployment manifest (See 'createOptions' above).
| Environment variable | Description |
|---|---|
| IMAGE_PROCESSING_ENDPOINT | Service endpoint to send the frames to for processing. Example: "http://my-ai-service:8080" (where "my-ai-service" is the name of another IoT Edge module). Leave empty when no external processing is needed (Default). |
| IMAGE_PROCESSING_PARAMS | Query parameters to send to the processing service. Example: "{'returnLabels': 'true'}". Empty by default. |
| SHOW_VIDEO | Show the video in a windows. Example: "FALSE". False by default. |
| VERBOSE | Show detailed logs and perf timers. Example: "FALSE". False by default. |
| LOOP_VIDEO | When reading from a video file, it will loop this video. Example: "TRUE". True by default. |
| CONVERT_TO_GRAY | Convert to gray before sending to external service for processing. Example: "FALSE". False by default. |
| RESIZE_WIDTH | Resize frame width before sending to external service for processing. Example: "256". Does not resize by default (0). |
| RESIZE_HEIGHT | Resize frame width before sending to external service for processing. Example: "456". Does not resize by default (0). |