Qt+OpenCV4.4 test YOLOV4 target detection model under ubuntu - Code World

Qt+OpenCV4.4 test YOLOV4 target detection model under ubuntu

Others 2021-01-24 22:08:16 views: null

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Origin blog.csdn.net/sunlin972913894/article/details/108168380

Qt+OpenCV4.4 test YOLOV4 target detection model under ubuntu

Target detection: YOLOV4

Ubuntu 18.04 configure darknet environment to achieve YOLOv4 target detection (3)-YOLOv4 inference based on python

[Target detection] YOLOV4 detailed explanation

YOLOv4 target detection - Backbone

Analysis of YOLOv4 algorithm for target detection

Ubuntu18.04 configures darknet environment to achieve YOLOv4 target detection (5)-darknet YOLOv4 and YOLOv4-tiny models turn ONNX to TensorRT deployment

Ubuntu18.04 configures darknet environment to achieve YOLOv4 target detection (2)-train your own data based on YOLOv4

pytorch target detection yolov4 target detection various types of statistics counting pedestrians and vehicles statistics counting

[Reading notes for target detection papers] Multi-scene small object detection with modified YOLOv4

[Target detection series] yolov3, yolov4 train their own data (pytorch version)

Target detection YOLO practical application case 100 lectures - Rainy weather traffic target detection network based on the fusion of PReNet and YOLOv4

[YoloV8 target detection and instance segmentation - target detection onnx model inference]

Target detection system based on YOLOv4 (with MATLAB code + GUI implementation)

Analysis of Yolov5 target detection algorithm: model structure

[Target detection] Introduction to YOLOV8 combat (5) Model prediction

[Target detection] YOLOV8 practical entry (3) model training

Yolov5 creates a dataset and trains the target detection model

[Jetson target detection SSD-MobileNet application example] (3) Training your own detection model and reasoning test

opencv-yolov8-target detection

[Target Detection] Introduction to YOLOV8 Practical Combat (4) Model Verification

Target detection - SSD model introduction

Deep learning paper reading target detection (seven) Chinese version: YOLOv4 "Optimal Speed and Accuracy of Object Detection"

Target detection-mAP test

[Target detection] Model information analysis / YOLOv5 detection results displayed in Chinese

SAM segmentation model downstream task test: target segmentation based on detection frame

Target detection-data structure of Xiahou Nanxi target detection model

opencv dynamic target detection

[Target detection] Helmet wearing detection and recognition based on yolov7 (with code and data set, Ubuntu system)

Small target detection 4

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