Based on the YOLOv5 series [n/s/m/l] model development and construction of human gesture target detection, recognition and analysis system - Code World

Based on the YOLOv5 series [n/s/m/l] model development and construction of human gesture target detection, recognition and analysis system

Enterprise 2023-07-01 09:11:33 views: null

NoSuchKey

Guess you like

Origin blog.csdn.net/Together_CZ/article/details/131476547

Based on the YOLOv5 series [n/s/m/l] model development and construction of human gesture target detection, recognition and analysis system

Development and construction of Chinese character detection and recognition analysis system based on lightweight YOLOv5

Development and construction of infrared high-altitude small target detection and recognition analysis system based on YOLOv7

Development and construction of traffic sign detection and recognition system based on lightweight yolov5/yolov5-lite

Based on yolov5 development and construction of dangerous goods detection and recognition system such as guns and knives

Development and construction of butterfly target detection and recognition system based on YOLOv8

Development and construction of geological mineral detection and identification analysis system based on YOLOv5

Based on the full range of yolov5 models [n/s/m/l/x], develop and construct a fine-grained target detection and recognition system for cats with different parameter levels

[Target Detection] YOLOv5 model trains its own data set—YOLOv5 implements animal detection (animal cow and horse detection and recognition based on pytorch framework)

High-precision human fall behavior detection and recognition system based on deep learning (PyTorch+Pyside6+YOLOv5 model)

Python based on lightweight YOLOv5 pig detection + status recognition analysis system

Analysis of Yolov5 target detection algorithm: model structure

Mediapipe-based gesture recognition and synchronization to Unity human model

Based on yolov7 development and construction of student classroom behavior detection and recognition system

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

Analysis of YOLOv5 algorithm for target detection

Based on the full series of YOLOv8 [n/s/m/l/x], the CCTSDB2021 traffic sign detection and recognition system under road traffic scenarios is developed and constructed.

[ZCU102 Embedded Development] Sharing the deployment process of the Vitis-AI-based yolov5 target detection model on the ZCU102 development board

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

WiderFace face detection system based on YOLOv5 (PyTorch+Pyside6+YOLOv5 model)

To help detect environmental protection issues, develop and build bare soil detection and recognition models of different magnitudes based on the full series of YOLOv5 models [n/s/m/l/x], and analyze the detection performance by comparing experiments

Intelligent driving target detection system based on Kitti dataset (PyTorch+Pyside6+YOLOv5 model)

Python+Yolov5 fall detection fall detection character target behavior human body feature recognition

Vue front-end target detection and training visualization system based on Yolov5

Smart construction site detection system based on YOLOV5 and PYQT5

Vehicle Recognition System Based on YOLOv5

yolov5 online detection target detection webpage real-time recognition python target detection flask

Based on YOLOV7's openpose human posture detection and recognition, FPS can achieve "higher" effect

Yolov5 creates a dataset and trains the target detection model

Build a YOLOv5-based target detection system from scratch

Recommended

Ranking

OpenCv 015 --- ROI and ROI image OpenCv 009 --- operating color space and color space conversion

Servlet common class analysis

css hover tr背景色

Simple and crude understanding and implementation of machine learning clustering algorithm (VI): [feature] project - feature reduction, feature selection, principal component analysis (PCA), Case

IV.2 Login much account login

Notes on writing code (summarize by yourself)

About PopuWindow cannot be displayed

Methode zum Erhalten von Kartengrenzdaten in Echtzeit im November 2023, mehrstufige Verknüpfung von Provinzen, Städten, Kreisen und Straßen [angehängter Echtzeit-GeoJson-Daten-Download]

Development of HarmonyOS learning path—Java UI framework (use tools to automatically generate JS FA to call PA code)

C ++ core principles C.84: swap functions should not fail

Daily

More

2025-02-10(0)

2025-02-09(0)

2025-02-08(0)

2025-02-07(0)

2025-02-06(0)

2025-02-05(0)

2025-02-04(0)

2025-02-03(0)

2025-02-02(0)

2025-02-01(0)