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

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

Enterprise 2023-06-05 11:00:31 views: null

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Origin blog.csdn.net/weixin_47407066/article/details/126264041

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

[Jetson target detection SSD-MobileNet application example] (2) Make your own data set--collection, labeling, and preprocessing of the data set

[Jetson target detection SSD-MobileNet application example] (4) Use the CSI camera on Jetson to perform video inference and output detection results

[Jetson target detection SSD-MobileNet application example] (2) Make your own data set--collection, labeling, and preprocessing of the data set

[Jetson target detection SSD-MobileNet application example] (2) Make your own data set--collection, labeling, and preprocessing of the data set

[Jetson target detection SSD-MobileNet application example] (2) Make your own data set--collection, labeling, and preprocessing of the data set

[Jetson target detection SSD-MobileNet application example] (2) Make your own data set--collection, labeling, and preprocessing of the data set

[AI combat] Hands-on training of your own target detection model (YOLO)

[AI combat] Hands-on training of your own target detection model (YOLO)

[AI combat] Hands-on training of your own target detection model (YOLO)

[AI combat] Hands-on training of your own target detection model (YOLO)

[AI combat] Teach you how to train your own target detection model (SSD)

[AI combat] Teach you how to train your own target detection model (SSD)

[AI combat] Teach you how to train your own target detection model (SSD)

Use TensorRT reasoning for their training target detection network

Use YOLOv5 to train your own target detection dataset (take mask detection as an example)

YOLOv3 target detection: training their own data sets

Target detection - take you hand in hand to implement SSD (Single Shot MultiBox Detector) training and detect your own data set

[Target detection] Draw the prediction frame according to the reasoning results of the detection model

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

Target detection - SSD model introduction

Use OpenCvSharp's DNN module to load your own trained TensorFlow model for target detection

Teach you to use YOLOV5 to train your own target detection model-mask detection-video tutorial

Use your own data set, test mmrotate new network rotated_rtmdet, rotate target detection

[Target Detection] YOLOv5: Modify your own network structure

Target Detection: FPN_tensorflow training their own data sets

MMDetection target detection example

Test and application of mask detection 3

[Target detection] Summary of target detection training methods

Using Yolov8 for object detection and training your own dataset

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