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3. [The Image Filtering Microservice](https://github.com/grutt/udacity-c2-image-filter), the final project for the course. It is a Node-Express application which runs a simple Python script to process images.
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## Tasks
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### Setup Python Environment
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You'll need to set up and use a virtual environment for this project.
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To create a virtual environment run the following from within the project directory:
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1. Install virtualenv dependency: `pip install virtualenv`
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2. Create a virtual environment: `virtualenv venv`
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3. Activate the virtual environment: `source venv/bin/activate` (Note: You'll need to do this every time you open a new terminal)
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4. Install dependencies: `pip install -r requirements.txt`
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When you're done working and leave the virtual environment, run: `deactivate`
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### Setup Node Environment
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You'll need to create a new node server. Open a new terminal within the project directory and run:
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1. Initialize a new project: `npm init`
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#### Refactor Data Models
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Try adding another column to your tables to save a separate key for your filtered image. Remember, you'll have to rename the file before adding it to S3!
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#### (ADVANCED) Refactor Data Models
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Try adding a second OpenCV filter script and add an additional parameter to select which filter to use as a POST parameter
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