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DeepLearning-Food-Image-Recognition-And-Calorie-Estimation

Food image prediction using TensorFlow and calorie estimation using K-Nearest-Neighbors algoritm

#deep-learning#deep-neural-networks#tensoflow

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README preview

NYU CS 6293: Machine-Learning-Project

Prerequisites

Python 3.6
TensorFlow 1.13
OpnCV 3.4
Numpy 1.12
Pandas 0.22
Docker (latest should work)
Requests 2.1

Stpes to execute our code:

Install Docker
docker run hello-world
docker run -it gcr.io/tensorflow/tensorflow:latest-devel
Check Tensorflow:

python import tensorflow
Retrieve Images: $ ctrl-D if you're still in Docker and then: $ cd $HOME $ mkdir tf_files $ cd tf_files $ curl -O https://goo.gl/NohU7G $ gzip -d food_datasets.tar.gz $ tar xzf DataSets.tar $ cd $HOME/tf_files/DataSets/food_photos
Link image dataset virtually to tensorflow: $docker run -it -v /DataSets/food_photos:/tf_files/ImageDataSets/food_photos gcr.io/tensorflow/tensorflow:latest-devel $ ls /tf_files/DataSets food_photos
Retrieving the Training code: $ cd /tensorflow $ git pull
Training the Inception model: $ python tensorflow/examples/image_retraining/retrain.py
-- bottleneck_dir=/tf_files/ImageDataSets/bottlenecks
-- how_many_training_steps 500
-- model_dir=/tf_files/ImageDataSets/inception
-- output_graph=/tf_files/ImageDataSets/retrained_graph.pb
-- output_labels=/tf_files/ImageDataSets/retrained_labels.txt
-- image_dir /tf_files/DataSets/food_photos

The retraining script will write out a version of the Inception v3 network with a final layer retrained to your categories to /tmp/output_graph.pb and a text file containing the labels to /tmp/output_labels.txt.
Using trained model to predict new images: $ ctrl-D to exit Docker and then: $ curl -L goo.gl/NyNBG5 > $HOME/tf_files/ImageDataSets/label_image.py $ docker run -it -v /DataSets/test_photos:/tf_files/ImageDataSets/test_photos gcr.io/tensorflow/tensorflow:latest-devel
Predicting new images: $ python /tf_files/ImageDataSets/label_image.py /ImageDataSets/test_photos/Pizza/pizza1.jpg $ python /tf_files/label_image.py /ImageDataSets/test_photos/VegBurger/notburger_cake1.jpg

Team members:

Harshit Pareek (hp1014),
Jubin Soni (jas1464),
Ankur Patil (asp549) GitHubIDs:@jubins @hp1014 @ankpatil18

Please contact anyone of us if you face any difficulty in executing the code.