NutriSnap: Food Recognition for Nutritional Analysis

NutriSnap is an application that utilizes image recognition technology to extract nutritional information from food pictures.

Project Overview

This project aims to develop a mobile or web application that allows users to:

Capture an image of their food using their device's camera.
Leverage image segmentation and object detection to identify individual food items on the plate.
Estimate the volume of each food item using depth estimation.
Access approximate nutritional data, including calorie count and macronutrient breakdown (carbs, protein, fat) for the entire meal.

Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
__pycache__		__pycache__
flask_session		flask_session
input		input
output		output
static		static
templates		templates
uploads		uploads
.DS_Store		.DS_Store
README.md		README.md
app.py		app.py
convert_to_labelme.py		convert_to_labelme.py
convert_to_labelme.py.bak		convert_to_labelme.py.bak
demo.py		demo.py
demo_transform.py		demo_transform.py
densenet.py		densenet.py
labelme.json		labelme.json
labelme_data.json		labelme_data.json
loaddata.py		loaddata.py
loaddata_demo.py		loaddata_demo.py
main.py		main.py
mask.png		mask.png
mask.py		mask.py
model.py		model.py
modules.py		modules.py
net.py		net.py
nutrient_info.py		nutrient_info.py
nyu_transform.py		nyu_transform.py
remove_alpha_channel.py		remove_alpha_channel.py
resnet.py		resnet.py
senet.py		senet.py
sobel.py		sobel.py
test.jpg		test.jpg
test.json		test.json
test.py		test.py
test.py.bak		test.py.bak
train.py		train.py
util.py		util.py
volume.py		volume.py
volume_estimation.py.bak		volume_estimation.py.bak