[1.0.0] - 2024-10-16
Release Notes
Key Changes:
-
Removed Models:
- Yolov8x
- Segment Anything (SAM)
-
Added Models:
- Yolo11x
- Segment Anything 2 (SAM-2)
Performance and Inference Time Comparisons of Updated Models
-
Since there is not to much performance difference between
segment-anything-2-large
andsegment-anything-2-small
, we usedsegment-anything-2-small
to reduce inference time. Here is the inference times of different segment anything models on single image:segment-anything-large
:~480 ms
(old) (model size:2.6 gb
)segment-anything-2-large
:~210 ms
(model size:898.1 mb
)segment-anything-2-small
:~110 ms
(newly added) (model size:184.4 mb
)
-
Newly added
yolo11x
model trained with dataset which also used foryolov8x
in past. There is no big performance differences. (Videos only containsyolo
outputs notUnifiedModel
outputs.)- yolov8x: https://youtu.be/GeGrZvYU5GA (inference time
~16 ms
per image) - yolo11x: https://youtu.be/IgHR5HhDNtA (inference time
~20 ms
per image)
- yolov8x: https://youtu.be/GeGrZvYU5GA (inference time