[{"data":1,"prerenderedAt":193},["ShallowReactive",2],{"project-16809863":3},{"id":4,"name":5,"line":6,"line_source":7,"title":8,"url":9,"domain":10,"maker":11,"posted_at":12,"year":13,"points":14,"comments":15,"rank_in_year":16,"shown_in_year":17,"top":18,"tier":19,"category":20,"subcategory":21,"format":22,"keywords":23,"reception":28,"sentiment":29,"stance_mix":30,"scored_comments":33,"aspects":34,"strip":37,"post_text":29,"what":39,"said":71,"maker_in_thread":113,"shape":121,"grid":125,"attempts":154,"same_week":155,"maker_shows":185,"maker_hidden":186,"reader_version":187,"card":188},"16809863","tfjs-yolo-tiny","Using deep learning to detect objects from your webcam","title","Show HN: Using deep learning to detect objects from your webcam","https:\u002F\u002Fmodeldepot.github.io\u002Ftfjs-yolo-tiny-demo\u002F","modeldepot.github.io","mikeshi42",1523444829,2018,95,13,456,2155,22,"notable","ai","object detection","library",[21,24,25,26,27],"tensorflow.js","yolo","webcam","machine learning","quiet",null,{"positive":31,"neutral":32,"mixed":31,"critical":32},0,1,2,{"idea":35,"performance":36},{"positive":31,"critical":31},{"positive":31,"critical":32},[31,38,31,31,31,31,31,32,31,31,31,31,31],3,{"problem":40,"audience":47,"pricing":29,"motivation":52,"time_to_build":29,"stack":56,"openness":68,"stage":69,"team_size":70},{"value":41,"source":42,"evidence":43},"Running YOLO object detection in JavaScript without prior work doing so","maker",[44],{"id":45,"by":11,"text":46},"16813395","Hey Everyone! After seeing the announcement of Tensorflow.js, and being a lover of both JS and ML, I couldn't help myself from creating a demo with a non-trivial ML model. YOLO…",{"value":48,"source":49,"evidence":50},"JavaScript developers wanting browser-based ML object detection","inferred",[51],{"id":45,"by":11,"text":46},{"value":53,"source":42,"evidence":54},"Excitement over TensorFlow.js announcement and interest in JS and ML",[55],{"id":45,"by":11,"text":46},[57,61],{"value":58,"source":42,"evidence":59},"TensorFlow.js",[60],{"id":45,"by":11,"text":46},{"value":62,"source":42,"evidence":63},"YOLO (Tiny YOLO)",[64,65],{"id":45,"by":11,"text":46},{"id":66,"by":11,"text":67},"16818092","Unfortunately iPhones just don't have a ton of computation power, but I've been given some suggestions and hopefully will have a good perf boost coming out soon! As for that…","open_source","beta","unknown",{"praise":72,"objections":81,"requests":93,"questions":98,"alternatives":106},[73],{"value":74,"source":75,"evidence":76},"Interesting and useful demo of YOLO in the browser","commenter",[77],{"id":78,"by":79,"text":80},"16814718","gormz","Interesting. I'm about to start using Pixy sensor to track people for a project I'm working on.",[82,89],{"value":83,"source":75,"evidence":84},"Very slow on iPhone Safari",[85],{"id":86,"by":87,"text":88},"16817545","rajeevk","Seems very very slow on iPhone (safari) Here is what it detected for me https:\u002F\u002Fimgur.com\u002Fa\u002FDSIZQ",{"value":90,"source":75,"evidence":91},"Tiny YOLO detection quality is poor",[92],{"id":86,"by":87,"text":88},[94],{"value":95,"source":42,"evidence":96},"Better performance on mobile",[97],{"id":66,"by":11,"text":67},[99],{"value":100,"source":75,"evidence":101},"Whether security cameras could use this to reduce motion detection false positives",[102],{"id":103,"by":104,"text":105},"16817559","locusm","Hope some of the entry\u002Fmid level security cam vendors are working on this type of detection as motion detection currently leads to so many false positives once you want…",[107],{"value":108,"source":42,"evidence":109},"Full YOLO and FSSD models run in the cloud",[110],{"id":111,"by":11,"text":112},"16814950","That's definitely interesting, from the quick demo I just saw, doesn't it only use colors to detect? If so, you'll definitely need something more powerful. Depending on how…",{"comments":114,"answered":32,"key":115},6,[116,117,120],{"id":45,"text":46},{"id":118,"text":119},"16818104","Given the proliferation of ML and easy to access pretrained models, I imagine they would! Though still the computational cost might be a bit high, but certainly could act as a…",{"id":111,"text":112},{"commenters":114,"max_depth":122,"maker_replies":114,"first_comment_mins":123,"lifespan_hours":124},4,381,30,[126,128,130,132,134,135,137,139,141,143,147,149,151],[45,31,31,127,11,32],"project\u002Fpositive\u002Fidea",[103,32,38,129,104,31],"project\u002Fneutral\u002Fidea",[118,32,31,131,11,32],"project\u002Fneutral\u002Fperformance",[78,33,31,133,79,31],"commenter\u002Fneutral\u002Fnone",[111,33,31,133,11,32],[136,33,31,133,79,31],"16815014",[138,33,31,133,11,32],"16815086",[86,38,32,140,87,31],"project\u002Fcritical\u002Fperformance",[66,38,31,142,11,32],"maker\u002Fneutral\u002Fperformance",[144,122,31,145,146,31],"16815391","other\u002Fneutral\u002Fnone","nonbel",[148,122,31,145,11,32],"16815453",[150,122,31,145,146,31],"16815719",[152,122,31,145,153,31],"16822746","dang",[],[156,161,166,171,176,181],{"id":157,"name":158,"points":159,"category":160},"16760736","AI Grant",323,"learning_science",{"id":162,"name":163,"points":164,"category":165},"16792638","Wey",277,"productivity",{"id":167,"name":168,"points":169,"category":170},"16812288","bvckup2 disk IO graph tool",207,"infrastructure",{"id":172,"name":173,"points":174,"category":175},"16782658","TerrainVer",198,"creative",{"id":177,"name":178,"points":179,"category":180},"16787836","Phoenix 2.6",183,"dev_tools",{"id":182,"name":183,"points":184,"category":180},"16780382","gopro-py-api",131,7,false,"v2",{"id":189,"name":5,"line":6,"ai":186,"cat":20,"year":13,"points":14,"comments":15,"rec":28,"s":29,"top":18,"kw":190,"maker":11,"domain":10,"tier":19,"attempts":31,"strip":191,"url":9,"mix":192,"praise":74,"objection":83,"sub":21},16809863,[21,24,25,26,27],"0300000100000",[31,32,31,32],1794036565012]