{"title":"MediaPipe机器学习解决方案","authors":"Y. Quiñonez, Carmen Lizarraga, Raquel Aguayo","doi":"10.1109/CIMPS57786.2022.10035706","DOIUrl":null,"url":null,"abstract":"This document introduces the basic concepts of Artificial Intelligence (AI) and Machine Learning (ML), and some typical applications are mentioned; It also describes some of the most used AI platforms to develop projects using ML algorithms. Specifically, the implementation of Machine Learning solutions is addressed using the MediaPipe framework developed by Google. MediaPipe uses pre-trained models in TensorFlow, OpenCV to manipulate video, and FFmpeg to handle audio data; in addition, it is available for Android, iOS, C++, Python, andJavaScript.","PeriodicalId":205829,"journal":{"name":"2022 11th International Conference On Software Process Improvement (CIMPS)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Machine Learning solutions with MediaPipe\",\"authors\":\"Y. Quiñonez, Carmen Lizarraga, Raquel Aguayo\",\"doi\":\"10.1109/CIMPS57786.2022.10035706\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This document introduces the basic concepts of Artificial Intelligence (AI) and Machine Learning (ML), and some typical applications are mentioned; It also describes some of the most used AI platforms to develop projects using ML algorithms. Specifically, the implementation of Machine Learning solutions is addressed using the MediaPipe framework developed by Google. MediaPipe uses pre-trained models in TensorFlow, OpenCV to manipulate video, and FFmpeg to handle audio data; in addition, it is available for Android, iOS, C++, Python, andJavaScript.\",\"PeriodicalId\":205829,\"journal\":{\"name\":\"2022 11th International Conference On Software Process Improvement (CIMPS)\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 11th International Conference On Software Process Improvement (CIMPS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIMPS57786.2022.10035706\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 11th International Conference On Software Process Improvement (CIMPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIMPS57786.2022.10035706","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This document introduces the basic concepts of Artificial Intelligence (AI) and Machine Learning (ML), and some typical applications are mentioned; It also describes some of the most used AI platforms to develop projects using ML algorithms. Specifically, the implementation of Machine Learning solutions is addressed using the MediaPipe framework developed by Google. MediaPipe uses pre-trained models in TensorFlow, OpenCV to manipulate video, and FFmpeg to handle audio data; in addition, it is available for Android, iOS, C++, Python, andJavaScript.
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