insect-detect-v1.6

In the v1.6 release, new YOLOv6n, YOLOv7-tiny and YOLOv8n detection models were added to the existing YOLOv5n model.

Model	size (pixels)	mAPval 50-95	mAPval 50	Precisionval	Recallval	SpeedOAK (fps)	params (M)
YOLOv5n	320	53.8	96.9	95.5	96.1	49	1.76
YOLOv6n	320	50.3	95.1	96.9	89.8	60	4.63
YOLOv7-tiny	320	53.2	95.7	94.7	94.2	52	6.01
YOLOv8n	320	55.4	94.4	92.2	89.9	39	3.01

These models can reach up to 60 fps inference speed (YOLOv6n) on the OAK-1 device with 1080p sensor resolution.

New features

Add new YOLO models: 46ede08

Important Updates

• Update yolo_preview.py and yolo_tracker_preview.py to use 1080p as default sensor resolution, which leads to higher fps of the detection models without decreasing quality of the downscaled preview frames: 135e75f and 066587c
• Update yolo_tracker_save_hqsync.py and yolo_tracker_save_hqsync_nopj.py to use 1080p as default resolution for the synced HQ frames, which increases inference and pipeline speed to ~12 fps which is fast enough to track moving insects. Save overlay only once with all detected insects drawn on the frame: ac1162e and 5eea522
• Update video_capture.py to use ISP scaling for 1080p resolution, which leads to higher quality frames compared to setting the sensor resolution to 1080p: e06624b

Changelog

Changes between previous release and this release: v1.5...v1.6