Robin Cole
Robin Cole
The ROI should be abstracted using a class. The class will implement a `point_in_roi` method that accepts a single `x,y` location and returns a boolean. We can keep a list...
See https://github.com/robmarkcole/HASS-amazon-rekognition/issues/102
A single camera might cover, e.g. a garden and a driveway. We might want both as distinct ROI. Furthermore we might have several cameras watching a single ROI and want...
Currently they only appear if there is a detection of the target. Update so that even if there are no detections of the target it appears in the summary with...
Add section. Show running with correct logging and link to model store. ``` ~ docker run -v /Users/robin/Data/pytorch-models:/modelstore/detection -e VISION-DETECTION=True -p 80:5000 deepquestai/deepstack:latest --------------------------------------- v1/vision/custom/fire --------------------------------------- v1/vision/custom/licence-plate --------------------------------------- v1/vision/custom/lock ---------------------------------------...
Parallels https://github.com/johnolafenwa/DeepStack/issues/58 Can implement workaround here, coerce min confidence to 1%
The nomenclature ROI = region of interest, is similar to the Zone concept in HA. Consider renaming ROI to camera_zone, however this might be a bit confusing due to the...
An IOU calc would give the % overlap of a detected object bounding box with the target area, which is a more flexible detection approach than specifying that the centre...