C# Onnx GroundingDINO 开放世界目标检测

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目录

介绍

效果

模型信息

项目

代码

下载

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介绍

地址：https://github.com/IDEA-Research/GroundingDINO

Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

效果

在运行程序时，要注意输入的提示词的格式，类别之间以" . "隔开，并且确保类别名称在词典文件 vocab.txt里是存在的，而且输入提示词里的类别名称是你想要检测的目标类别，否则可能会检测不到目标的。 

模型信息

Model Properties
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Inputs
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name：img
tensor：Float[-1, 3, -1, -1]
name：input_ids
tensor：Int64[-1, -1]
name：attention_mask
tensor：Bool[-1, -1]
name：position_ids
tensor：Int64[-1, -1]
name：token_type_ids
tensor：Int64[-1, -1]
name：text_token_mask
tensor：Bool[-1, -1, -1]
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Outputs
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name：logits
tensor：Float[-1, -1, -1]
name：boxes
tensor：Float[-1, -1, 4]
---------------------------------------------------------------

项目

代码

using OpenCvSharp;
using System;
using System.Collections.Generic;
using System.Drawing;
using System.Text;
using System.Windows.Forms;namespace Onnx_Demo
{public partial class Form1 : Form{public Form1(){InitializeComponent();}GroundingDINO groundingDINO = new GroundingDINO("model/groundingdino_swint_ogc.onnx", 0.3f, "model/vocab.txt", 0.25f, true);string image_path = "";string fileFilter = "*.*|*.bmp;*.jpg;*.jpeg;*.tiff;*.tiff;*.png";StringBuilder sb = new StringBuilder();Mat image;Mat result_image;private void button2_Click(object sender, EventArgs e){OpenFileDialog ofd = new OpenFileDialog();ofd.Filter = fileFilter;if (ofd.ShowDialog() != DialogResult.OK) return;pictureBox1.Image = null;pictureBox2.Image = null;txtInfo.Text = "";image_path = ofd.FileName;pictureBox2.Image = new Bitmap(image_path);image = new Mat(image_path);}private void button3_Click(object sender, EventArgs e){if (image_path == ""){return;}if (String.IsNullOrEmpty(txt_input_text.Text)){return;}pictureBox1.Image = null;txtInfo.Text = "检测中，请稍等……";button3.Enabled = false;if (pictureBox1.Image != null){pictureBox1.Image.Dispose();pictureBox1.Image = null;}Application.DoEvents();String text_prompt = txt_input_text.Text;List<Object> objects = groundingDINO.detect(image, text_prompt);result_image = image.Clone();sb.Clear();for (int i = 0; i < objects.Count; i++){Cv2.Rectangle(result_image, objects[i].box, new Scalar(0, 0, 255), 2);Cv2.PutText(result_image, objects[i].text + " " + objects[i].prob.ToString("F2"), new OpenCvSharp.Point(objects[i].box.X, objects[i].box.Y), HersheyFonts.HersheySimplex, 1, new Scalar(0, 0, 255), 2); ;sb.AppendLine(objects[i].text + " " + objects[i].prob.ToString("F2"));}pictureBox1.Image = new Bitmap(result_image.ToMemoryStream());button3.Enabled = true;txtInfo.Text = sb.ToString();}private void Form1_Load(object sender, EventArgs e){image_path = "test_img/cat_dog.jpeg";pictureBox2.Image = new Bitmap(image_path);image = new Mat(image_path);}}
}

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