scrfd

docs/assets/lib/.editorconfig

@@ -0,0 +1,11 @@
+root = true
+
+[*]
+charset = utf-8
+# 2 space indentation
+indent_style = space
+indent_size = 2
+trim_trailing_whitespace = true
+# Unix-style newlines with a newline ending every file
+end_of_line = lf
+insert_final_newline = true

docs/assets/lib/.github/dependabot.yml

@@ -0,0 +1,10 @@
+version: 2
+updates:
+ - package-ecosystem: "npm"
+ directory: "/"
+ versioning-strategy: increase
+ groups:
+ npm:
+ dependency-type: "production"
+ schedule:
+ interval: "weekly"

docs/assets/lib/.gitignore

@@ -0,0 +1,8 @@
+# hidden files
+.*
+!.git*
+!.editorconfig
+
+# NPM
+node_modules
+package-lock.json

docs/assets/lib/LICENSE

@@ -0,0 +1,21 @@
+The MIT License (MIT)
+
+Copyright (c) 2022 Cotes Chung
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

docs/assets/lib/README.md

@@ -0,0 +1,78 @@
+# Static Assets for Chirpy Jekyll Theme
+
+## Introduction
+
+Static assets (libraries/plugins/web-fonts) required by the [_Chirpy_][chirpy] based website to run. It provides the opportunity to choose self-host assets in production or development mode.
+
+## Usage
+
+- If you want to use these assets only in local development:
+
+ Go to the root of your site and clone the assets as follows:
+
+ ```console
+ $ git submodule init
+ $ git submodule update
+ ```
+
+ And then set your site configuration options:
+
+ ```yml
+ # _config.yml
+ assets:
+ self_host:
+ enabled: true
+ env: development
+ ```
+
+- If you expect the assets to be self-hosted when your website is published:
+
+ Keep the `_config.yml` options as follows:
+
+ ```yml
+ # _config.yml
+ assets:
+ self_host:
+ enabled: true
+ ```
+
+ And then update the GitHub Actions workflow in `.github/workflows/pages-deploy.yml`:
+
+ ```diff
+ steps:
+ - name: Checkout
+ uses: actions/checkout@v2
+ with:
+ + submodules: true
+ ```
+
+## Versions
+
+| Dependency | Version |
+| :------------------------------------------------------- | --------: |
+| [Bootstrap][bootstrap] | `5.3.2` |
+| [Clipboard][clipboard] | `2.0.11` |
+| [Day.js][dayjs] | `1.11.10` |
+| [Font Awesome Free][fontawesome] | `6.4.2` |
+| [jQuery][jquery] | `3.7.1` |
+| [Loading-attribute-polyfill][loading-attribute-polyfill] | `2.1.1` |
+| [Magnific Popup][magnific-popup] | `1.1.0` |
+| [Mermaid][mermaid] | `10.5.0` |
+| [Simple-Jekyll-Search][simple-jekyll-search] | `1.10.0` |
+| [Tocbot][tocbot] | `4.21.2` |
+
+[assets]: https://github.com/cotes2020/chirpy-static-assets
+[chirpy]: https://github.com/cotes2020/jekyll-theme-chirpy
+
+<!-- deps -->
+
+[bootstrap]: https://www.jsdelivr.com/package/npm/bootstrap
+[clipboard]: https://www.jsdelivr.com/package/npm/clipboard
+[dayjs]: https://www.jsdelivr.com/package/npm/dayjs
+[fontawesome]: https://fontawesome.com/download
+[jquery]: https://www.jsdelivr.com/package/npm/jquery
+[loading-attribute-polyfill]: https://www.jsdelivr.com/package/npm/loading-attribute-polyfill
+[magnific-popup]: https://www.jsdelivr.com/package/npm/magnific-popup
+[mermaid]: https://www.jsdelivr.com/package/npm/mermaid
+[simple-jekyll-search]: https://www.jsdelivr.com/package/npm/simple-jekyll-search
+[tocbot]: https://www.jsdelivr.com/package/npm/tocbot

docs/assets/lib/package.json

@@ -0,0 +1,14 @@
+{
+ "dependencies": {
+ "@fortawesome/fontawesome-free": "^6.4.2",
+ "bootstrap": "^5.3.2",
+ "clipboard": "^2.0.11",
+ "dayjs": "^1.11.10",
+ "jquery": "^3.7.1",
+ "lazysizes": "^5.3.2",
+ "magnific-popup": "^1.1.0",
+ "mermaid": "^10.5.0",
+ "simple-jekyll-search": "^1.10.0",
+ "tocbot": "^4.21.2"
+ }
+}

docs/feed.xml

@@ -1 +1 @@
-<feed xmlns="http://www.w3.org/2005/Atom"> <id>https://laolaolulu.github.io/</id><title>Programmer's Notes</title><subtitle>Programmer's Notes - Technology Sharing</subtitle> <updated>2023-11-09T08:42:14+08:00</updated> <author> <name>lipeng</name> <uri>https://laolaolulu.github.io/</uri> </author><link rel="self" type="application/atom+xml" href="https://laolaolulu.github.io/feed.xml"/><link rel="alternate" type="text/html" hreflang="en" href="https://laolaolulu.github.io/"/> <generator uri="https://jekyllrb.com/" version="4.3.2">Jekyll</generator> <rights> © 2023 lipeng </rights> <icon>/assets/img/favicons/favicon.ico</icon> <logo>/assets/img/favicons/favicon-96x96.png</logo> <entry><title>将scrfd模型转换为onnx成功历程</title><link href="https://laolaolulu.github.io/posts/run-scrfd2onnx/" rel="alternate" type="text/html" title="将scrfd模型转换为onnx成功历程" /><published>2023-11-09T00:00:00+08:00</published> <updated>2023-11-09T07:21:19+08:00</updated> <id>https://laolaolulu.github.io/posts/run-scrfd2onnx/</id> <content src="https://laolaolulu.github.io/posts/run-scrfd2onnx/" /> <author> <name>lipeng</name> </author> <category term="人脸识别" /> <summary> scrfd官方文档 , 作者转换好了点击去下载 python世界发展过快,版本之间依赖不兼容问题很是头疼;避免这种问题浪费时间笔者总结了以下六点 …… 不要相信自己搭的绝配环境,来装个mini conda随意折腾,听人劝吃饱饭.乖~ # conda常用命令 # 创建环境 conda create --name test python==3.9.18 # 进入创建的环境 conda activate test # 查看自己创建了多少环境 conda env list # 删除不要的环境 conda env remove --name test 成功步骤环境:安装时提示缺少什么包就安装 # 安装pytorch conda install pytorch==1.9.1 torchvision==0.10.1 torchaudio=... </summary> </entry> <entry><title>流行的人脸检测识别模型集合下载</title><link href="https://laolaolulu.github.io/posts/face-model-download/" rel="alternate" type="text/html" title="流行的人脸检测识别模型集合下载" /><published>2023-11-07T00:00:00+08:00</published> <updated>2023-11-09T08:39:35+08:00</updated> <id>https://laolaolulu.github.io/posts/face-model-download/</id> <content src="https://laolaolulu.github.io/posts/face-model-download/" /> <author> <name>lipeng</name> </author> <category term="人脸识别" /> <summary> 人脸检测 SCRFD 名称 kps(包含眼鼻口)5关键点 大小 时间 scrfd_500m_shape640x640.onnx Giovanni Rovelli 2022_08_23 scrfd_1g_shape640x640.onnx Maria Anders 2021_03_24 scrfd_2.5g_shape640x640.onnx Giovanni Rovelli 2021_03_24 scrfd_10g_shape640x640.onnx Helen Bennett 2021_03_2... </summary> </entry> <entry><title>使用C#(sharp)-OpenCv(仅)来推理scrfd模型实现人脸检测</title><link href="https://laolaolulu.github.io/posts/csharp-scrfd-opencv/" rel="alternate" type="text/html" title="使用C#(sharp)-OpenCv(仅)来推理scrfd模型实现人脸检测" /><published>2023-11-07T00:00:00+08:00</published> <updated>2023-11-09T07:28:22+08:00</updated> <id>https://laolaolulu.github.io/posts/csharp-scrfd-opencv/</id> <content src="https://laolaolulu.github.io/posts/csharp-scrfd-opencv/" /> <author> <name>lipeng</name> </author> <category term="人脸识别" /> <summary> scrfd官网介绍文档 目前最优秀的人脸检测算法 使用OpenCvSharp库来进行图片预处理以及模型推理 如何使用 已发布到nuget 源码在github dotnet add package FaceTrain.OpenCV //读取模型文件 var modelBytes = File.ReadAllBytes("Resource\\Model\\SCRFD\\scrfd_10g_kps.onnx"); //读取要检测的图片 var imgBytes = File.ReadAllBytes("Resource\\Img\\test.png"); //实例化网络 using var net = new FaceTrain.OpenCV.SCRFD(modelBytes); //执行推理拿到结果 var faces = net.Detection(imgBytes);... </summary> </entry> <entry><title>使用C#(sharp)-OnnxRuntime(仅)来推理scrfd模型实现人脸检测</title><link href="https://laolaolulu.github.io/posts/csharp-scrfd-onnxruntime/" rel="alternate" type="text/html" title="使用C#(sharp)-OnnxRuntime(仅)来推理scrfd模型实现人脸检测" /><published>2023-11-07T00:00:00+08:00</published> <updated>2023-11-09T07:29:15+08:00</updated> <id>https://laolaolulu.github.io/posts/csharp-scrfd-onnxruntime/</id> <content src="https://laolaolulu.github.io/posts/csharp-scrfd-onnxruntime/" /> <author> <name>lipeng</name> </author> <category term="人脸识别" /> <summary> scrfd官网介绍文档 目前最优秀的人脸检测算法 使用高性能的OnnxRuntime推理模型,告别臃肿的opencv库 使用ImageSharp库来进行图片预处理(ps:图片预处理速度很慢各位有什么好的推荐下) 如何使用 已发布到nuget 源码在github dotnet add package FaceTrain.OnnxRuntime //读取模型文件 var modelBytes = File.ReadAllBytes("Resource\\Model\\SCRFD\\scrfd_10g_kps.onnx"); //读取要检测的图片 var imgBytes = File.ReadAllBytes("Resource\\Img\\test.png"); //实例化网络 using var net = new FaceTrain.OnnxRuntime.SC... </summary> </entry> <entry><title>使用Emscripten将Opencv代码编译为OpenCV.js(WebAssembly)</title><link href="https://laolaolulu.github.io/posts/emscripten-opencv/" rel="alternate" type="text/html" title="使用Emscripten将Opencv代码编译为OpenCV.js(WebAssembly)" /><published>2023-10-23T00:00:00+08:00</published> <updated>2023-11-08T17:44:23+08:00</updated> <id>https://laolaolulu.github.io/posts/emscripten-opencv/</id> <content src="https://laolaolulu.github.io/posts/emscripten-opencv/" /> <author> <name>lipeng</name> </author> <category term="人脸识别" /> <summary> 编译OpenCV.js 注意用 linux 环境,windows 下各种错误我已放弃 Emscripten官方安装文档 OpenCV.js官方编译文档 # Get the emsdk repo git clone https://github.com/emscripten-core/emsdk.git # Enter that directory cd emsdk # Fetch the latest version of the emsdk (not needed the first time you clone) git pull # Download and install the latest SDK tools. ./emsdk install latest # Make the "latest" SDK "active" for the curren... </summary> </entry> </feed>
+<feed xmlns="http://www.w3.org/2005/Atom"> <id>https://laolaolulu.github.io/</id><title>Programmer's Notes</title><subtitle>Programmer's Notes - Technology Sharing</subtitle> <updated>2023-11-09T08:42:54+08:00</updated> <author> <name>lipeng</name> <uri>https://laolaolulu.github.io/</uri> </author><link rel="self" type="application/atom+xml" href="https://laolaolulu.github.io/feed.xml"/><link rel="alternate" type="text/html" hreflang="en" href="https://laolaolulu.github.io/"/> <generator uri="https://jekyllrb.com/" version="4.3.2">Jekyll</generator> <rights> © 2023 lipeng </rights> <icon>/assets/img/favicons/favicon.ico</icon> <logo>/assets/img/favicons/favicon-96x96.png</logo> <entry><title>将scrfd模型转换为onnx成功历程</title><link href="https://laolaolulu.github.io/posts/run-scrfd2onnx/" rel="alternate" type="text/html" title="将scrfd模型转换为onnx成功历程" /><published>2023-11-09T00:00:00+08:00</published> <updated>2023-11-09T07:21:19+08:00</updated> <id>https://laolaolulu.github.io/posts/run-scrfd2onnx/</id> <content src="https://laolaolulu.github.io/posts/run-scrfd2onnx/" /> <author> <name>lipeng</name> </author> <category term="人脸识别" /> <summary> scrfd官方文档 , 作者转换好了点击去下载 python世界发展过快,版本之间依赖不兼容问题很是头疼;避免这种问题浪费时间笔者总结了以下六点 …… 不要相信自己搭的绝配环境,来装个mini conda随意折腾,听人劝吃饱饭.乖~ # conda常用命令 # 创建环境 conda create --name test python==3.9.18 # 进入创建的环境 conda activate test # 查看自己创建了多少环境 conda env list # 删除不要的环境 conda env remove --name test 成功步骤环境:安装时提示缺少什么包就安装 # 安装pytorch conda install pytorch==1.9.1 torchvision==0.10.1 torchaudio=... </summary> </entry> <entry><title>流行的人脸检测识别模型集合下载</title><link href="https://laolaolulu.github.io/posts/face-model-download/" rel="alternate" type="text/html" title="流行的人脸检测识别模型集合下载" /><published>2023-11-07T00:00:00+08:00</published> <updated>2023-11-09T08:39:35+08:00</updated> <id>https://laolaolulu.github.io/posts/face-model-download/</id> <content src="https://laolaolulu.github.io/posts/face-model-download/" /> <author> <name>lipeng</name> </author> <category term="人脸识别" /> <summary> 人脸检测 SCRFD 名称 kps(包含眼鼻口)5关键点 大小 时间 scrfd_500m_shape640x640.onnx Giovanni Rovelli 2022_08_23 scrfd_1g_shape640x640.onnx Maria Anders 2021_03_24 scrfd_2.5g_shape640x640.onnx Giovanni Rovelli 2021_03_24 scrfd_10g_shape640x640.onnx Helen Bennett 2021_03_2... </summary> </entry> <entry><title>使用C#(sharp)-OpenCv(仅)来推理scrfd模型实现人脸检测</title><link href="https://laolaolulu.github.io/posts/csharp-scrfd-opencv/" rel="alternate" type="text/html" title="使用C#(sharp)-OpenCv(仅)来推理scrfd模型实现人脸检测" /><published>2023-11-07T00:00:00+08:00</published> <updated>2023-11-09T07:28:22+08:00</updated> <id>https://laolaolulu.github.io/posts/csharp-scrfd-opencv/</id> <content src="https://laolaolulu.github.io/posts/csharp-scrfd-opencv/" /> <author> <name>lipeng</name> </author> <category term="人脸识别" /> <summary> scrfd官网介绍文档 目前最优秀的人脸检测算法 使用OpenCvSharp库来进行图片预处理以及模型推理 如何使用 已发布到nuget 源码在github dotnet add package FaceTrain.OpenCV //读取模型文件 var modelBytes = File.ReadAllBytes("Resource\\Model\\SCRFD\\scrfd_10g_kps.onnx"); //读取要检测的图片 var imgBytes = File.ReadAllBytes("Resource\\Img\\test.png"); //实例化网络 using var net = new FaceTrain.OpenCV.SCRFD(modelBytes); //执行推理拿到结果 var faces = net.Detection(imgBytes);... </summary> </entry> <entry><title>使用C#(sharp)-OnnxRuntime(仅)来推理scrfd模型实现人脸检测</title><link href="https://laolaolulu.github.io/posts/csharp-scrfd-onnxruntime/" rel="alternate" type="text/html" title="使用C#(sharp)-OnnxRuntime(仅)来推理scrfd模型实现人脸检测" /><published>2023-11-07T00:00:00+08:00</published> <updated>2023-11-09T07:29:15+08:00</updated> <id>https://laolaolulu.github.io/posts/csharp-scrfd-onnxruntime/</id> <content src="https://laolaolulu.github.io/posts/csharp-scrfd-onnxruntime/" /> <author> <name>lipeng</name> </author> <category term="人脸识别" /> <summary> scrfd官网介绍文档 目前最优秀的人脸检测算法 使用高性能的OnnxRuntime推理模型,告别臃肿的opencv库 使用ImageSharp库来进行图片预处理(ps:图片预处理速度很慢各位有什么好的推荐下) 如何使用 已发布到nuget 源码在github dotnet add package FaceTrain.OnnxRuntime //读取模型文件 var modelBytes = File.ReadAllBytes("Resource\\Model\\SCRFD\\scrfd_10g_kps.onnx"); //读取要检测的图片 var imgBytes = File.ReadAllBytes("Resource\\Img\\test.png"); //实例化网络 using var net = new FaceTrain.OnnxRuntime.SC... </summary> </entry> <entry><title>使用Emscripten将Opencv代码编译为OpenCV.js(WebAssembly)</title><link href="https://laolaolulu.github.io/posts/emscripten-opencv/" rel="alternate" type="text/html" title="使用Emscripten将Opencv代码编译为OpenCV.js(WebAssembly)" /><published>2023-10-23T00:00:00+08:00</published> <updated>2023-11-08T17:44:23+08:00</updated> <id>https://laolaolulu.github.io/posts/emscripten-opencv/</id> <content src="https://laolaolulu.github.io/posts/emscripten-opencv/" /> <author> <name>lipeng</name> </author> <category term="人脸识别" /> <summary> 编译OpenCV.js 注意用 linux 环境,windows 下各种错误我已放弃 Emscripten官方安装文档 OpenCV.js官方编译文档 # Get the emsdk repo git clone https://github.com/emscripten-core/emsdk.git # Enter that directory cd emsdk # Fetch the latest version of the emsdk (not needed the first time you clone) git pull # Download and install the latest SDK tools. ./emsdk install latest # Make the "latest" SDK "active" for the curren... </summary> </entry> </feed>