Name		Name	Last commit message	Last commit date
Latest commit History 51 Commits
app		app
data		data
models		models
mymodel		mymodel
scripts		scripts
visualization		visualization
.gitignore		.gitignore
README.md		README.md
my_classify_image.py		my_classify_image.py
object_detection.py		object_detection.py
preprocessed2.json		preprocessed2.json
preprocessing.py		preprocessing.py
preprocessing2.py		preprocessing2.py
template.json		template.json

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InstagramVisualization

Visualizing Instagram data and Filter Recommendation for Instagram images.

Instructions for running the app :

Install virtualenv

$ sudo su # You probably need to be root to do this.
$ apt-get install python-virtualenv

Initialize virtualenv and install dependencies

$ cd app
$ virtualenv venv
$ . venv/bin/activate
$ pip install -r requirements.txt

##Install Tensorflow

Ubuntu/Linux 64-bit, CPU only:

(tensorflow)$ pip install --upgrade https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.8.0-cp27-none-linux_x86_64.whl

Ubuntu/Linux 64-bit, GPU enabled. Requires CUDA toolkit 7.5 and CuDNN v4. For other versions, see "Install from sources" below.

(tensorflow)$ pip install --upgrade https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow-0.8.0-cp27-none-linux_x86_64.whl

Mac OS X, CPU only:

(tensorflow)$ pip install --upgrade https://storage.googleapis.com/tensorflow/mac/tensorflow-0.8.0-py2-none-any.whl

Copy Image Classify file to TensorFlow root inside venv

$ cp my_classify_image.py venv/lib/python2.7/site-packages/tensorflow/models/image/

Run the application

$ python index.py
Go to http://127.0.0.1:5000/ to see the running app.

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Visualizing Instagram data

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