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  1. 3 days ago · Android has supported traditional machine learning models for years. Frameworks and SDKs like LiteRT (formerly known as TensorFlow Lite), ML Kit and MediaPipe enabled developers to easily implement tasks like image classification and object detection. In recent years, generative AI (gen AI) and large language models (LLMs), have opened up new ...

  2. 2 days ago · 1. 미디어파이프 pose 미디어파이프(Mediapipe) 포즈 모델이 무엇인지 이해하고, 이를 활용해 사람의 움직임을 추적하는 방법을 배워 봅시다.간단한 실습을 통해 미디어파이프 포즈 모델을 직접 체험 해보도록 합시다.2. 미디어파이프란 무엇인가요?**미디어파이프(Mediapipe)**는 구글에서 개발한 컴퓨터 비전 라이브러리입니다. 다양한 사람의 움직임을 감지하고 추적하는 기능을 ...

  3. 5 days ago · 公式のSolutionガイド. overviewやpython, js, androidのコードサンプルなど。 上とかぶるが、githubのマークダウンなのでリッチなページでなく、簡潔に一か所にまとめられている印象。 LINK. ダウンロード可能なtfliteモデルとリンク一覧. モデルカードも見れるので、outputの数などもわかる。 c++などでコードを動かそうと思う時に訪れるはず。 LINK. mediapipeをパイプライン含めてc++から使いたいときにみるページ.

  4. 3 days ago · The video provides an introduction to building an emotion classifier using a webcam to detect happy, sad, and surprised emotions. It covers the dataset overview, cleaning process to remove irrelevant images, and training the emotion recognition model using scikit learn.

  5. 4 days ago · MediaPipe Solutions offers a powerful suite of libraries and tools to quickly apply AI and ML techniques in applications. With pre-trained models, customization tools, and cross-platform APIs, it's easy to plug AI solutions into your projects and tailor them to specific needs.

  6. 3 days ago · a. Install YAY (https://github.com/Jguer/yay) $ sudo pacman -S --needed git base-devel && git clone https://aur.archlinux.org/yay.git && cd yay && makepkg -si. . b. Install python-mediapipe on Arch using YAY. $ yay -S. . python-mediapipe. .

  7. 4 days ago · In this article, we explore the generation of synthetic body shapes for human pose training, specifically for posture feedback systems. The use of pose images derived from key point detection models is discussed, highlighting the benefits of using synthetic data for training and testing. This approach can significantly improve the performance of posture feedback systems, making them more accurate and reliable.

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