项目介绍

navassherif98/Recipe-Generation-from-Food-Image 是一个托管在 GitHub 上的开源项目,主要使用 Python 编写,目前获得 385 个 Star、73 次 Fork。

仓库全名
navassherif98/Recipe-Generation-from-Food-Image
Star 数
385
Fork 数
73
未关闭 Issue
4

README 摘要

Recipe-Generation-from-Food-Image Demo: Are you ever in the situation where you have a mouthwatering picture of a delicious dish but no idea how to recreate it? Look no further! Our "Recipe Generation from Food Images" project harnesses the power of deep learning to provide you with a solution. Overview: This innovative application uses state-of-the-art deep learning techniques to analyze food images and generate…

完整内容见 GitHub 原始 README 或本页 。

常见问题

Recipe-Generation-from-Food-Image 用什么语言开发?

主要使用 Python 编写,目前有 385 个 Star。

如何获取 Recipe-Generation-from-Food-Image 的源码?

可以直接克隆仓库:git clone https://github.com/navassherif98/Recipe-Generation-from-Food-Image.git,默认分支为 main;安装与运行步骤见仓库 README。

Recipe-Generation-from-Food-Image 最近还在维护吗?

仓库最近一次更新为 2023年11月4日,当前有 4 个未关闭 Issue;Star 数为 385,可作为社区活跃度的参考。

关于

An Application for Generating a cooking recipe consist of title, ingredients and instructions from an food image using Deep Learning.

描述取自 GitHub 官方 API,中文内容由 GitRead 中文社区 编辑团队整理。

语言占比

CSS
HTML
JavaScript
Procfile
Python

README

ViewCount

Recipe-Generation-from-Food-Image

Demo:

Recipe_Generation gif

Are you ever in the situation where you have a mouthwatering picture of a delicious dish but no idea how to recreate it? Look no further! Our “Recipe Generation from Food Images” project harnesses the power of deep learning to provide you with a solution.

Overview:

This innovative application uses state-of-the-art deep learning techniques to analyze food images and generate comprehensive cooking recipes. From a simple snapshot of your favorite dish, our system can extract essential information including:

Recipe Title: A catchy and descriptive title for the dish.

Ingredients: A detailed list of all the ingredients needed.

Instructions: Step-by-step cooking instructions to help you recreate the dish flawlessly.

Key Features:

Deep Learning Magic: Our model employs cutting-edge computer vision algorithms to identify ingredients and cooking processes within food images.

Natural Language Generation: It utilizes advanced natural language processing to create coherent and easy-to-follow cooking instructions.

User-Friendly Interface: A user-friendly web or mobile interface for hassle-free recipe generation.

Endless Culinary Exploration: Discover new recipes and cuisines by simply snapping a picture of any dish.


Prerequisite :

Download these files and replace it with the files in this folder “Foodimg2Ing/data/”

  1. Model (Modelbest.ckpt) : Download Modelbest.ckpt

  2. Ingredients (ingr_vocab.pkl) : Download ingr_vocab.pkl

  3. Instruction (instr_vocab.pkl) : Download instr_vocab.pkl

To run the Code :

  1. Open Terminal (cmd)
  2. Install all the required libraries using “pip install -r requirements.txt”
  3. run “python run.py”

You will be getting a localhost link and open that link in your browser

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