const model = bodySegmentation.SupportedModels.MediaPipeSelfieSegmentation; // or 'BodyPix' const segmenterConfig = { runtime: 'mediapipe', // or 'tfjs' modelType: 'general' // or 'landscape' }; segmenter = awai
用npm install @tensorflow-models/body-pix安装,然后用es6模块来导入: 1 import * as bodyPix from '@tensorflow-models/body-pix'; 2 3 async function loadAndUseBodyPix() { 4 const net = await bodyPix.load(); 5 // BodyPix model loaded 6 } 或者,通过页面上的bundle来食用,就不用安装了: 1 <...
2.2.1•Public• Published2 years ago Note: This package is deprecated in favor of the newbody-segmentation package. Readme Keywords none Install npm i@tensorflow-models/body-pix Repository github.com/tensorflow/tfjs-models Weekly Downloads ...
Demo传送门: https://storage.googleapis.com/tfjs-models/demos/body-pix/index.html BodyPix传送门: https://github.com/tensorflow/tfjs-models/tree/master/body-pix 博客传送门: https://medium.com/tensorflow/introducing-bodypix-real-time-person-segmentation-in-the-browser-with-tensorflow-js-f1948126c2...
https://github.com/tensorflow/tfjs-models/tree/master/body-pix#person-segmentation 绘制人物分割输出结果 BodyPix 在浏览器中的另一优势是,其允许我们访问Canvas 合成等网络 API。通过这些 API,我们可以使用 BodyPix 的输出结果遮盖或替换部分图像内容。为帮助您入门,我们提供了包含此功能的实用函数,具体如下: ...
The confidence values are not calibrated between models, and therefore setting a proper confidence threshold may involve some experimentation. The name provides a label for each keypoint, such as 'nose', 'left_eye', 'right_knee', etc. The mask key of segmentation stores an object which ...
https://github.com/tensorflow/tfjs-models/tree/master/body-pix#person-segmentation 绘制人物分割输出结果 BodyPix 在浏览器中的另一优势是,其允许我们访问 Canvas Compositing(画布合成)等网络 API。通过这些 API,我们可以使用 BodyPix 的输出结果遮盖或替换部分图像内容。为帮助您入门,我们已为您提供包含此功能的...
在终端中下载 TensorFlow 1.x 时,它将models/research/object detection目录安装到您的 PC。 如果您的 PC 上装有 TensorFlow 2.0,则可以从 GitHub 下载研究目录。 TensorFlow 对象检测 API 具有预先训练的模型,您可以使用网络摄像头对其进行检测以及有关自定义图片的示例训练。 浏览前两个链接,然后自己尝试,然后返回...
This PR adds support for loading and decoding new pre-trained models provided by Google researcher Tyler Zhu (@tylerzhu-github) which does person segmentation and body part mapping on an image. It also adds demos showing how they can be visualized. The new demos can be tried here: https:/...
npm install@tensorflow-models/body-pix 然后使用es6模块导入: import * as bodyPix from '@tensorflow-models/body-pix'; async function loadAndUseBodyPix() { const net = await bodyPix.load(); // BodyPix model loaded } 如何让BodyPix运行更快 ...