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This results in a MJPEG stream with objects identified that has a lower latency than directly viewing the RTSP feed with VLC. This results in a MJPEG stream with objects identified that has a lower latency than directly viewing the RTSP feed with VLC.
- Prioritizes realtime processing over frames per second. Dropping frames is fine. - Prioritizes realtime processing over frames per second. Dropping frames is fine.
- OpenCV runs in a separate process so it can grab frames as quickly as possible to ensure there aren't old frames in the buffer - OpenCV runs in a separate process so it can grab frames as quickly as possible to ensure there aren't old frames in the buffer
- Object detection with Tensorflow runs in a separate process and ignores frames that are more than 0.5 seconds old - Motion detection runs in a separate process per region and signals to object detection to avoid wasting CPU cycles to look for objects when there is no motion
- Object detection with Tensorflow runs in a separate process per region and ignores frames that are more than 0.5 seconds old
- Uses shared memory arrays for handing frames between processes - Uses shared memory arrays for handing frames between processes
- Provides a url for viewing the video feed at a hard coded ~5FPS as an mjpeg stream - Provides a url for viewing the video feed at a hard coded ~5FPS as an mjpeg stream
- Frames are only encoded into mjpeg stream when it is being viewed - Frames are only encoded into mjpeg stream when it is being viewed
- A process is created per detection region - Publishes motion and person detection scores to MQTT
## Getting Started ## Getting Started
Build the container with Build the container with
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- [x] Use Events or Conditions to signal between threads rather than polling a value - [x] Use Events or Conditions to signal between threads rather than polling a value
- [x] Implement a debug option to save images with detected objects - [x] Implement a debug option to save images with detected objects
- [x] Only report if x% of the recent frames have a person to avoid single frame false positives (maybe take an average of the person scores in the past x frames?) - [x] Only report if x% of the recent frames have a person to avoid single frame false positives (maybe take an average of the person scores in the past x frames?)
- [ ] Filter out detected objects that are not the right size - [x] Filter out detected objects that are not the right size
- [ ] Make resilient to network drop outs - [ ] Make resilient to network drop outs
- [ ] Merge bounding boxes that span multiple regions - [ ] Merge bounding boxes that span multiple regions
- [ ] Switch to a config file - [ ] Switch to a config file