即食:深度学习中的食物检测和推荐-源码

上传者: 42116847 | 上传时间: 2021-09-27 22:45:13 | 文件大小: 18.23MB | 文件类型: ZIP
Snap&Eat(原深139) 深度学习Hackathon 48h-Cotidiano(第一个项目= D ) 我们认为营养跟踪应该像拍照一样简单。 Snap&Eat是一个Web应用程序,可通过图片跟踪用户的食物摄入量。 我们使用最先进的深度学习技术来识别菜肴,并根据用户的餐食进行即时营养估算。 该应用程序还根据用户的收入来建议用餐,并能够显示附近提供这些菜肴的地方。 该系统是使用在Pytorch中实现的,它依赖Jupyter Notebook进行原型制作。 对于Web应用程序,我们使用Flask和Node.js。 演示版 我们的模型 我们使用-ResNeXt-101,具有101层,在

文件下载

资源详情

[{"title":"( 29 个子文件 18.23MB ) 即食:深度学习中的食物检测和推荐-源码","children":[{"title":"snap-n-eat-master","children":[{"title":".gitignore <span style='color:#111;'> 1.29KB </span>","children":null,"spread":false},{"title":"data","children":[{"title":"readme-imgs","children":[{"title":"app_homescreen.jpg <span style='color:#111;'> 35.97KB </span>","children":null,"spread":false},{"title":"food101dataset.png <span style='color:#111;'> 637.04KB </span>","children":null,"spread":false},{"title":"food_prediction.jpg <span style='color:#111;'> 56.74KB </span>","children":null,"spread":false},{"title":"snap_n_eat.gif <span style='color:#111;'> 15.78MB </span>","children":null,"spread":false}],"spread":true},{"title":"nutrition_values.csv <span style='color:#111;'> 5.66KB </span>","children":null,"spread":false},{"title":"nutrition_table.ipynb <span style='color:#111;'> 49.77KB </span>","children":null,"spread":false}],"spread":true},{"title":"src","children":[{"title":"services","children":[{"title":"food_descriptor.py <span style='color:#111;'> 641B </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 219B </span>","children":null,"spread":false},{"title":"top_food.py <span style='color:#111;'> 2.85KB </span>","children":null,"spread":false},{"title":"utils.py <span style='color:#111;'> 219B </span>","children":null,"spread":false},{"title":"food_predictor.py <span style='color:#111;'> 3.38KB </span>","children":null,"spread":false}],"spread":true},{"title":"notebooks","children":[{"title":"ResNeXt.ipynb <span style='color:#111;'> 7.03KB </span>","children":null,"spread":false},{"title":"k_neighbors.ipynb <span style='color:#111;'> 3.82KB </span>","children":null,"spread":false}],"spread":true},{"title":"webapp","children":[{"title":"package.json <span style='color:#111;'> 415B </span>","children":null,"spread":false},{"title":"package-lock.json <span style='color:#111;'> 87.56KB </span>","children":null,"spread":false},{"title":"public","children":[{"title":"js","children":[{"title":"bar_plot_load.js <span style='color:#111;'> 793B </span>","children":null,"spread":false},{"title":"ejs.js <span style='color:#111;'> 13.13KB </span>","children":null,"spread":false},{"title":"update.js <span style='color:#111;'> 1.76KB </span>","children":null,"spread":false},{"title":"bar_plot.js <span style='color:#111;'> 2.72KB </span>","children":null,"spread":false},{"title":"suggestions_load.js <span style='color:#111;'> 1.45KB </span>","children":null,"spread":false}],"spread":true},{"title":"ejs","children":[{"title":"suggestions_list.ejs <span style='color:#111;'> 995B </span>","children":null,"spread":false},{"title":"bar_plot.ejs <span style='color:#111;'> 0B </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"views","children":[{"title":"partials","children":[{"title":"bar_chart.ejs <span style='color:#111;'> 719B </span>","children":null,"spread":false}],"spread":true},{"title":"pages","children":[{"title":"index.ejs <span style='color:#111;'> 17.01KB </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"server.js <span style='color:#111;'> 2.20KB </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"LICENSE <span style='color:#111;'> 1.06KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 3.45KB </span>","children":null,"spread":false},{"title":"presentation.pdf <span style='color:#111;'> 2.00MB </span>","children":null,"spread":false}],"spread":true}],"spread":true}]

评论信息

免责申明

【只为小站】的资源来自网友分享,仅供学习研究,请务必在下载后24小时内给予删除,不得用于其他任何用途,否则后果自负。基于互联网的特殊性,【只为小站】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查;无论 【只为小站】 经营者是否已进行审查,用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场,基于网友分享,根据中国法律《信息网络传播权保护条例》第二十二条之规定,若资源存在侵权或相关问题请联系本站客服人员,zhiweidada#qq.com,请把#换成@,本站将给予最大的支持与配合,做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明