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Compare Faces with AWS Rekognition in RapidMiner Studio
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This is a step-by-step guide for anyone to use RapidMiner Studio to leverage the capabilities of AWS Rekognition to compare two face images.
2. Sign into your new AWS account.
[2a. I strongly recommend enabling two-factor authentication at this point for your own protection. You can learn how to do this here.]
3. Go to Identity and Access Management (IAM) and create a new user for your RapidMiner tool.
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*****This last step is VERY IMPORTANT!! KEEP THIS SCREEN OPEN. You will need these Access and Secret Keys in just a few minutes. *****
2. Go to the top menu and select Extensions -> Marketplace
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3. Search for "AWS Services". Click the checkbox for "Select for installation", accept the EULA, and restart RapidMiner Studio.
4. Go to the top menu and select Connections -> Create Connection
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5. Choose "AWSServices", "Local Repository" and type "AWS Rekognition". Click "Create".
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6. COPY and PASTE the Access and Secret keys from AWS into the boxes on this screen. Click "Save".
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7. Drag and Drop this new "Connection" operator onto your Process panel.
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8. Drag and Drop a "Compare Faces" operator onto your Process panel.
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9. "Wire" up the two operators by clicking and dragging like this:
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10. On the right side, select a file for your source image and another for your target image (it really doesn't matter which is which for most purposes).
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11. Click the RUN button on the top left.
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12. If all goes well, you will get a Similarity measure (from 0-100) as a result. That's it!
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[NOTE: I strongly suggest at least doing a basic tutorial to get the basic idea of how the software works. There are Getting Started pages here.]
Part 1: Getting Started with AWS
1. Create an AWS Account. Full instructions are here. You will have to enter a payment method (credit card is preferred) but unless you do something really crazy, you will incur zero charges comparing a few faces using this method.2. Sign into your new AWS account.
[2a. I strongly recommend enabling two-factor authentication at this point for your own protection. You can learn how to do this here.]
3. Go to Identity and Access Management (IAM) and create a new user for your RapidMiner tool.
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*****This last step is VERY IMPORTANT!! KEEP THIS SCREEN OPEN. You will need these Access and Secret Keys in just a few minutes. *****
Part 2: Getting Started with RapidMiner
1. Download and install RapidMiner Studio. The full instructions are here.2. Go to the top menu and select Extensions -> Marketplace
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3. Search for "AWS Services". Click the checkbox for "Select for installation", accept the EULA, and restart RapidMiner Studio.
4. Go to the top menu and select Connections -> Create Connection
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5. Choose "AWSServices", "Local Repository" and type "AWS Rekognition". Click "Create".
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6. COPY and PASTE the Access and Secret keys from AWS into the boxes on this screen. Click "Save".
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7. Drag and Drop this new "Connection" operator onto your Process panel.
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8. Drag and Drop a "Compare Faces" operator onto your Process panel.
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9. "Wire" up the two operators by clicking and dragging like this:
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10. On the right side, select a file for your source image and another for your target image (it really doesn't matter which is which for most purposes).
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11. Click the RUN button on the top left.
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12. If all goes well, you will get a Similarity measure (from 0-100) as a result. That's it!
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[NOTE: I strongly suggest at least doing a basic tutorial to get the basic idea of how the software works. There are Getting Started pages here.]
2
Comments
Lindon Ventures
Data Science Consulting from Certified RapidMiner Experts
If you send me an email I can reply back with a beta .jar file...
Scott
Dortmund, Germany
https://docs.google.com/document/d/1gNT9qeX_7WRfwOIoTDQJjW_quyQOYrPToDspsSYjauU/edit?usp=sharing
Anyone else got this, and a resolution?
Dortmund, Germany
did you fix your error problem? If yes how?
Thank you
Dortmund, Germany
Now Compare face working OK.
I am a person who reported this bug in email to Scott Genzer on December 9 and had email exchange with you and Scott.
Thank you again!
Dortmund, Germany