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Add new ml5 Pose Detection video #1748
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a954522
add pose detection video
kfahn22 6f9b10b
update links, move showcase to new video, add ml5 folder to archives
kfahn22 c3d9b33
minor updates to description
kfahn22 c6e78d9
Update content/videos/ml5/7-posenet/pose-detection/index.json
shiffman 06d50e1
Update content/videos/ml5/7-posenet/pose-detection/index.json
shiffman 412afe5
Update content/videos/ml5/7-posenet/pose-detection/index.json
shiffman 3512c3a
Update content/videos/ml5/7-posenet/pose-detection/index.json
shiffman 18902e3
Update content/videos/ml5/7-posenet/pose-detection/index.json
shiffman 51e382b
update description
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{ | ||
"title": "Archived Videos", | ||
"description": "Folder for archived videos", | ||
"videos": ["archive/1-image-classification", "archive/2-webcam-classification"] | ||
"videos": ["archive/ml5/1-image-classification", "archive/ml5/2-webcam-classification", "archive/ml5/1-finding-keypoints"] | ||
} |
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{ | ||
"title": "Pose Detection", | ||
"description": "This video covers pose detection in ml5.js 1.0 using both the MoveNet model and BlazePose model.", | ||
"videoId": "T99fNXTUUaQ", | ||
"date": "2024-10-16", | ||
"languages": ["ml5.js", "JavaScript"], | ||
"topics": ["machine learning (ML)", "webcam", "pose detection", "ml5.js", "MoveNet", "BlazePose"], | ||
"canContribute": true, | ||
"timestamps": [ | ||
{ "time": "0:00", "title": "Introduction" }, | ||
{ "time": "0:45", "title": "BodyPose model" }, | ||
{ "time": "3:28", "title": "Coco Dataset" }, | ||
{ "time": "4:04", "title": "Projects that use pose detection" }, | ||
{ "time": "5:49", "title": "Start coding" }, | ||
{ "time": "8:58", "title": "Keypoint index values" }, | ||
{ "time": "15:39", "title": "Connections between the keypoints" }, | ||
{ "time": "17:57", "title": "Adding p5.distance()" }, | ||
{ "time": "19:39", "title": "BlazePose" }, | ||
{ "time": "20:56", "title": "Outro" } | ||
], | ||
"codeExamples": [ | ||
{ | ||
"title": "BodyPose - single image", | ||
"description": "Sketch demonstrating use of BodyPose model with an image.", | ||
"image": "image.jpg", | ||
"urls": { "p5": "https://editor.p5js.org/codingtrain/sketches/WQrffEIsJ" } | ||
}, | ||
{ | ||
"title": "BodyPose - Nose", | ||
"description": "Sketch demonstrating use of BodyPose model with a circle drawn at the nose keypoint.", | ||
"image": "nose.jpg", | ||
"urls": { "p5": "https://editor.p5js.org/codingtrain/sketches/AWrwZ_rSv" } | ||
}, | ||
{ | ||
"title": "BodyPose - Nose with Lerp", | ||
"description": "Sketch demonstrating use of BodyPose model with lerp.", | ||
"image": "lerp.jpg", | ||
"urls": { "p5": "https://editor.p5js.org/codingtrain/sketches/9O6KbYyiX" } | ||
}, | ||
{ | ||
"title": "BodyPose - More Parts", | ||
"description": "Sketch demonstrating use of BodyPose model with lerp.", | ||
"image": "parts.jpg", | ||
"urls": { "p5": "https://editor.p5js.org/codingtrain/sketches/uPd6s2iVO" } | ||
}, | ||
{ | ||
"title": "BodyPose - Hat", | ||
"description": "Sketch demonstrating how to use BodyPose model to add fun effects to video.", | ||
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||
"image": "hat.jpg", | ||
"urls": { "p5": "https://editor.p5js.org/codingtrain/sketches/e_vqrMWcL" } | ||
}, | ||
{ | ||
"title": "BodyPose - 3D BlazePose", | ||
"description": "Sketch demonstrating use of the 3D BlazePose model.", | ||
"image": "blazePose.jpg", | ||
"urls": { "p5": "https://editor.p5js.org/codingtrain/sketches/ftALPDieT" } | ||
} | ||
], | ||
"groupLinks": [ | ||
{ | ||
"title": "References", | ||
"links": [ | ||
{ | ||
"icon": "💻", | ||
"title": "ml5.js", | ||
"url": "https://ml5js.org/", | ||
"description": "ml5 page with documentation and supporting material." | ||
}, | ||
{ | ||
"icon": "🏫", | ||
"title": "Introduction to Machine Learning for the Arts", | ||
"url": "https://github.com/ml5js/Intro-ML-Arts-IMA-F24", | ||
"description": "Syllabus for ITP IMA course on Machine Learning." | ||
}, | ||
{ | ||
"icon": "💻", | ||
"title": "Common objects in Context Dataset", | ||
"url": "https://cocodataset.org/#home", | ||
"description": "COCO is a large-scale object detection, segmentation, and captioning dataset." | ||
}, | ||
{ | ||
"icon": "🏫", | ||
"title": "Humans of AI", | ||
"url": "https://humans-of.ai", | ||
"description": "Humans of AI by artist Phillip Schmitt seeks to bring attention to the images used to train AI models." | ||
}, | ||
{ | ||
"icon": "💻", | ||
"title": "Next-Generation Pose Detection with MoveNet and TensorFlow.js", | ||
"url": "https://blog.tensorflow.org/2021/05/next-generation-pose-detection-with-movenet-and-tensorflowjs.html", | ||
"description": "Blog post by Ronny Votel and Na Li introducing MoveNet." | ||
}, | ||
{ | ||
"icon": "📄", | ||
"title": "BlazePose: On-device Real-time Body Pose tracking", | ||
"url": "https://arxiv.org/pdf/2006.10204", | ||
"description": "Academic paper introduction the BlazePose model." | ||
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}, | ||
{ | ||
"icon": "📄", | ||
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"title": "PoseNet Sketchbook", | ||
"url": "https://googlecreativelab.github.io/posenet-sketchbook/", | ||
"description": "PoseNet Sketchbook is a collection of open source, interactive web experiments by Maya Man" | ||
}, | ||
{ | ||
"icon": "📄", | ||
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"title": "Olympic Form", | ||
"url": "https://charstiles.github.io/olympicForm/", | ||
"description": "Letters made out of Olympians during the Paris 2024 Olympics" | ||
} | ||
] | ||
}, | ||
{ | ||
"title": "Videos", | ||
"links": [ | ||
{ | ||
"icon": "🎥", | ||
"title": "Processing / p5.js Tutorial: What is lerp? (Linear Interpolation)", | ||
"url": "https://www.youtube.com/watch?v=8uLVnM36XUc", | ||
"description": "My tutorial on the lerp function." | ||
} | ||
] | ||
} | ||
], | ||
"credits": [ | ||
{ "title": "Editing", "name": "Mathieu Blanchette" }, | ||
{ "title": "Animations", "name": "Jason Heglund" } | ||
] | ||
} |
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