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

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

Enterprise 2023-05-17 06:08:23 views: null

NoSuchKey

Supongo que te gusta

Origin blog.csdn.net/zhoujinwang/article/details/130563729

[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

[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 RK3588~2. Environment verification (pro-test is effective)

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

RK3588 hdmiout Debugging (2)

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

Convertir yolov5 a modelo rknn

yolov5 entrena y genera el modelo rknn y la implementación de la plataforma 3588

TypeError: transpileDependencies.map is not a function——solution—pro-test is effective

yolov5 model to tensorRT

Technical post - Feiling embedded RK3588 development board reasoning model conversion and testing

61. Deployment and use of human attribute model PaddleClas, the framework is based on MNN, NCNN, RKNN, TensorRT, OPENVINO, OAK

57. yolov5+rk3399pro/yolov7+rk3588 supports batchsize=3 simulation test and physical development board test

yolov5 trains and generates rknn model and 3588 platform deployment

uwsgi + django command deployment pro-test ok bajo ubuntu

RK3588 AP6398RS3のBTデバッグ (2)

Проект 2: Используйте Yolov5 и deepsort для отслеживания транспортных средств и пешеходов, а также расчета скорости и ускорения цели в режиме реального времени (с функцией обнаружения превышения скорости)

rknn model conversion problem record

Placa de desarrollo Rockchip RK3588: conversión del modelo yolov5 de máquina virtual, script de Python en la placa de desarrollo llamando a npu e implementando todo el proceso

How to install the dlib library in Python3.8 (pro-test is effective, with attached files)

[Java export PDF] Aspose-words export PDF guide: Java export template PDF with pictures (pro-test and practical)

YOLOv8 model deployment based on AidLux

depuração da câmera: RK3588/RK356X V4L2 não pode capturar solução de problemas de dados

[Rock Pi] (3) La placa de desarrollo RK3588S implementa el modelo yolov5 (modelo proporcionado oficialmente)

YOLOv5模型剪枝压缩(2)-YOLOv5模型简介和剪枝层选择

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

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

Recomendado

Clasificación

Diario

Más

2025-04-28(0)

2025-04-27(0)

2025-04-26(0)

2025-04-25(0)

2025-04-24(0)

2025-04-23(0)

2025-04-22(0)

2025-04-21(0)

2025-04-20(0)

2025-04-19(0)