Orange Pi 5 RK3588 yolov5 model conversion rknn and deployment pitfalls full record orangepi 5 - Code World

Orange Pi 5 RK3588 yolov5 model conversion rknn and deployment pitfalls full record orangepi 5

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Origin blog.csdn.net/m0_55217834/article/details/130583886

Orange Pi 5 RK3588 yolov5 model conversion rknn and deployment pitfalls full record orangepi 5

[Edge device] yolov5 training and rknn model export and deployment on RK3588 (pro-test effective) 2

[Edge device] yolov5 training and rknn model export and deployment on RK3588 ~ 1. Environment preparation (effective for personal testing)

yolov5 trains and generates rknn model and 3588 platform deployment

[Edge device] yolov5 training and rknn model export and deployment on RK3588~2. Environment verification (pro-test is effective)

Deployment of yolov5 model (.pt) on RK3588(S) (real-time camera detection)

Openvino model conversion and deployment of yoloV5

Yolov5 platform model format conversion & complete record of Android deployment

yolov5 onnx model to rknn model

【Orange Pi】Orange Pi5 Plus installation record

Convert yolov5 to rknn model

Rockchip rk3588 deploys yolov5 model in actual combat

Rockchip RK3588 development board: virtual machine yolov5 model conversion, python script on the development board calling npu and deploying the whole process

Orange Pi 5 uses RK3588S built-in NPU to accelerate yolov5 reasoning, and the real-time recognition of numbers reaches 50fps

[Rock Pi] (3) RK3588S development board deploys yolov5 model (officially provided model)

56. Orange Pi pi5B-RK3588S development records and reasoning

c++ deployment yolov5 model

It took three days to record the deployment of my yolov5 model to Android phones

openvino deployment yolov5 v6 process record

RKNN model training conversion deployment

rknn model conversion problem record

Problems encountered in vscode deployment yolov5 model

Deployment of yolov5 tensorrt model under ubuntu

Record the converted onnx of the pt model called YOLOv5 by OpenCV

[Edge device] yolov5 training and rknn model export and deployment on RK3588 (pro-test effective) 2

[Edge device] yolov5 training and rknn model export and deployment on RK3588 (pro-test effective) 2

[Edge device] yolov5 training and rknn model export and deployment on RK3588 (pro-test effective) 2

[Edge device] yolov5 training and rknn model export and deployment on RK3588 (pro-test effective) 2

YOLOv5 training deployment

yolov5 onnxruntime deployment

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