insect-detect-v1.5
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