[{"data":1,"prerenderedAt":402},["ShallowReactive",2],{"project-11540265":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":29,"sentiment":30,"stance_mix":31,"scored_comments":35,"aspects":36,"strip":44,"post_text":47,"what":48,"said":64,"maker_in_thread":143,"shape":145,"grid":150,"attempts":365,"same_week":366,"maker_shows":41,"maker_hidden":394,"reader_version":395,"card":396},"11540265","colornet","Open source colorizing grayscale images with NN","title","Show HN: Open source colorizing grayscale images with NN","https:\u002F\u002Fgithub.com\u002Fpavelgonchar\u002Fcolornet","github.com","ducktracker",1461224457,2016,219,77,117,2264,6,"notable","ai","image colorization neural network","other",[24,25,26,27,28],"colorization","grayscale images","neural network","image colorization","deep learning","curious",0.059,{"positive":32,"neutral":33,"mixed":34,"critical":18},7,34,0,47,{"execution":37,"idea":39,"docs":42,"performance":43},{"positive":38,"critical":38},2,{"positive":40,"critical":41},4,1,{"positive":34,"critical":34},{"positive":41,"critical":41},[41,45,41,45,46,46,45,45,34,34,45,45,45,45,45,46,34,45,34,45,41,34,34,41,45,45,41,46,45,45,34,45,45,34,34,41,45,45,46,45],3,5,null,{"problem":47,"audience":47,"pricing":47,"motivation":47,"time_to_build":47,"stack":49,"openness":62,"stage":63,"team_size":63},[50,58],{"value":51,"source":52,"evidence":53},"TensorFlow","commenter",[54],{"id":55,"by":56,"text":57},"11541843","walrus","The torrent contains the parameters for another neural network, VGG16, that this network makes use of. VGG16 is a network developed by the Visual Geometry Group at Oxford[1].…",{"value":59,"source":52,"evidence":60},"VGG16 network parameters",[61],{"id":55,"by":56,"text":57},"open_source","unknown",{"praise":65,"objections":81,"requests":103,"questions":115,"alternatives":134},[66],{"value":67,"source":52,"evidence":68},"Results look good and the colorized examples are impressive",[69,73,77],{"id":70,"by":71,"text":72},"11540675","fmeyer","I'm colorblind and I can't tell the difference between the prediction and the GT. My coworker says that they have slight differences in some colors. Congrats, you wrote the first…",{"id":74,"by":75,"text":76},"11546281","new_hackers","The sky is blue, grass is green, trucks are red, and everything else is a shade of brown :-) pretty cool work!",{"id":78,"by":79,"text":80},"11541538","rimantas","I'd say the differences are very well expressed.",[82,96],{"value":83,"source":52,"evidence":84},"Repository has no license, so code is not clearly reusable",[85,89,93],{"id":86,"by":87,"text":88},"11540589","SyneRyder","The title says it's open source, but I couldn't actually see what the license is? (Maybe I missed it?)",{"id":90,"by":91,"text":92},"11540822","syockit","It is open source. You can see the source. The license is no-license, so you can (only) fork it. That way, people can clone from your username instead of the original author,…",{"id":94,"by":87,"text":95},"11540894","In some countries, code is copyrighted by default unless the author specifies a different license or explicitly puts it into the public domain. Without a license (or asking the…",{"value":97,"source":52,"evidence":98},"Berkeley colorization model gives better results with a simpler architecture",[99],{"id":100,"by":101,"text":102},"11541131","argonaut","These results: http:\u002F\u002Frichzhang.github.io\u002Fcolorization\u002F from Berkeley are much better than this model (and the code is open source as well). Furthermore, those better results…",[104],{"value":105,"source":52,"evidence":106},"Instructions on how to run the model on your own images",[107,111],{"id":108,"by":109,"text":110},"11540491","x5n1","Can we get some instructions on how to actually use this. I want to test it out on pictures from: https:\u002F\u002Fwww.reddit.com\u002Fr\u002FOldSchoolCool\u002F",{"id":112,"by":113,"text":114},"11540458","mosselman","Can I try this out in images myself somehow?",[116,123],{"value":117,"source":52,"evidence":118},"How does it differ from the Berkeley colorization project?",[119],{"id":120,"by":121,"text":122},"11540638","liotier","Yes - how do those two projects differ in their approach ?",{"value":124,"source":52,"evidence":125},"Does it color skin tones fairly across ethnicities?",[126,130],{"id":127,"by":128,"text":129},"11541724","gcr","Agreed. I wonder how good this model is at filling the skin tone of someone. It would be sad if (for example) it turned everybody into white people or something like that. In…",{"id":131,"by":132,"text":133},"11540669","g_sch","I'd be interested to see what kind of hidden biases this might reveal, especially about people, e.g. skin tone, eye color, etc.",[135],{"value":136,"source":52,"evidence":137},"Berkeley colorization project by Richard Zhang",[138,139],{"id":100,"by":101,"text":102},{"id":140,"by":141,"text":142},"11540411","astrosi","Are you thinking of this project instead? 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