{"id":21803027,"url":"https://github.com/litongjava/litongjava-opencv-utils","last_synced_at":"2025-04-13T19:03:47.428Z","repository":{"id":65507852,"uuid":"506482218","full_name":"litongjava/litongjava-opencv-utils","owner":"litongjava","description":"基于opencv封装的一些工具类,主要功能有   1.交通灯识别   2.图形形状及颜色识别  ","archived":false,"fork":false,"pushed_at":"2024-04-29T03:11:24.000Z","size":21197,"stargazers_count":5,"open_issues_count":0,"forks_count":1,"subscribers_count":2,"default_branch":"master","last_synced_at":"2024-11-16T13:06:11.683Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"https://litongjava-opencv-utils-docs.vercel.app/","language":"Java","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/litongjava.png","metadata":{"files":{"readme":"readme.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2022-06-23T03:18:43.000Z","updated_at":"2024-06-12T02:58:48.000Z","dependencies_parsed_at":"2023-01-26T16:16:37.499Z","dependency_job_id":null,"html_url":"https://github.com/litongjava/litongjava-opencv-utils","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/litongjava%2Flitongjava-opencv-utils","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/litongjava%2Flitongjava-opencv-utils/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/litongjava%2Flitongjava-opencv-utils/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/litongjava%2Flitongjava-opencv-utils/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/litongjava","download_url":"https://codeload.github.com/litongjava/litongjava-opencv-utils/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":226744544,"owners_count":17675024,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-11-27T11:37:21.631Z","updated_at":"2024-11-27T11:37:22.139Z","avatar_url":"https://github.com/litongjava.png","language":"Java","funding_links":[],"categories":[],"sub_categories":[],"readme":"# litongjava-opencv-utils\n\n## 文档\n[文档](https://litongjava-opencv-utils-docs.vercel.app/)\n\n## 1. 简介\n`litongjava-opencv-utils` 是一个基于 OpenCV 的 Java 工具库，旨在提供一系列便利的功能，帮助开发者在 Java 应用程序中轻松实现图像处理和计算机视觉任务。此库封装了多种图像操作的方法，包括图像的读取、保存、形状识别、颜色提取和更多复杂的图像分析功能。\n\n\n## 2. 主要特点\n- **简化的 API**：提供了一系列简单易用的接口，让开发者能够快速实现如形状检测、颜色分离等复杂功能。\n- **丰富的图像处理功能**：支持多种图像预处理操作，如灰度转换、二值化、轮廓提取等，为高级图像分析提供基础。\n- **交通灯识别专用工具**：包含专门用于交通灯检测和状态识别的工具，适用于智能交通系统和自动驾驶领域。\n\n## 3. 安装和使用\n为了使用 `litongjava-opencv-utils`，您需要先在您的 Java 项目中引入 OpenCV 的库。库的安装可以通过 Maven 或直接将 JAR 文件添加到项目依赖中进行。一旦设置好环境，您就可以通过以下步骤来使用此工具库：\n\n**步骤 1：添加库到项目中**\n\n如果是使用 Maven，可以在 `pom.xml` 中添加相应的依赖（注意替换为最新版本）：\n```xml\n\u003cdependency\u003e\n    \u003cgroupId\u003ecom.litongjava\u003c/groupId\u003e\n    \u003cartifactId\u003eopencv-utils\u003c/artifactId\u003e\n    \u003cversion\u003e版本号\u003c/version\u003e\n\u003c/dependency\u003e\n```\n\n**步骤 2：使用库中的方法**\n\n以下是一个简单的示例，展示如何使用库中的方法来读取图像和提取颜色：\n```java\nimport com.litongjava.opencv.utils.MatUtils;\nimport com.litongjava.opencv.utils.ColorDivisionUtils;\nimport org.opencv.core.Mat;\nimport org.opencv.core.Scalar;\nimport org.opencv.imgproc.Imgproc;\n\npublic class Example {\n    public static void main(String[] args) {\n        System.loadLibrary(Core.NATIVE_LIBRARY_NAME);  // 加载本地库\n        Mat src = MatUtils.imread(\"path/to/image.jpg\");\n        Scalar lower = new Scalar(0, 50, 50);\n        Scalar upper = new Scalar(10, 255, 255);\n        Mat redMask = ColorDivisionUtils.colorDivision(src, lower, upper);\n        MatUtils.imwrite(\"path/to/output.jpg\", redMask);\n    }\n}\n```\n这个示例加载了一个图像，使用 `ColorDivisionUtils` 提取图像中的红色部分，并保存结果图像。\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flitongjava%2Flitongjava-opencv-utils","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Flitongjava%2Flitongjava-opencv-utils","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flitongjava%2Flitongjava-opencv-utils/lists"}