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insect-detect-v1.5

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@maxsitt maxsitt released this 17 Feb 16:20
· 121 commits to main since this release

For the v1.5 release, a new YOLOv5n detection model, trained on downscaled 320x320 frames was added. With the new model and the adapted scripts (320x320 model input), performance increases significantly to 40 fps for insect detection + tracking on the OAK device, without affecting accuracy. The higher framerate now makes ZERO_TERM_IMAGELESS the object tracker type with the best performance, which increases tracking accuracy for fast moving insects significantly.

Model
(.blob)
size
(pixels)
mAPval
50-95
mAPval
50
Precisionval
Recallval
Speed
OAK
(fps)
YOLOv5n (+ tracker) 320 53.9 97.6 96.0 96.6 40
YOLOv5n (+ tracker) 416 58.2 97.4 97.0 95.0 30
YOLOv5s (+ tracker) 416 63.4 97.8 96.6 95.6 17

New features

Add new YOLOv5n model: 0091a58

Important Updates

  • Update yolov5_preview.py: 0a40d3b
  • Update yolov5_tracker_preview.py: 140db67
  • Update monitoring scripts: 2f3e738

Changelog

Changes between previous release and this release: v1.4...v1.5