Releases: MarcA711/rknn-models
Releases · MarcA711/rknn-models
Models for Toolkit v2.3.0
Note: yolo-nas models use pre-trained weights from DeciAI and are subject to their license. They can't be used commercially.
Models for Toolkit v2.0.0
Note: yolo-nas models use pre-trained weights from DeciAI and are subject to their license. They can't be used commercially.
v1.6.0
These are the rknn models converted from the default yolov8 models (from this repo https://github.com/ultralytics/ultralytics).
- Follow instructions from https://github.com/ultralytics/ultralytics to export the yolov8 models to onnx format (imags size 320x320, opset 12)
- Use RKNN Toolkit 2 to convert to rknn format (no quantization, optimizations set to 3 (default value)).
yolov8 models for rk3588
Version 1.5.2
yolov8 models for rk3568
Version 1.5.2
yolov8 models for rk3566
Version 1.5.2
yolov8 models for rk3562
version 1.5.2