The website demo requires a server end. Therefore, GitHub cannot present its functions, which supports only static websites. Git clone its code and running them locally is highly recommended. All codes are open source under MIT License.
Inspiration
Initially, I noticed HP provide go-pro camera as awards, which attracts me so much. Then I looked into HP Haven on Demand APIs. They are fairly straightforward. Developers only need on sentence of command to send requests and receive results.
What it does
Face Recognition.
How I built it
Two parts: website and data transfer through the API.
Challenges I ran into
I used python at first, because it has many scientific computing libraries on images. But later I found these libs cannot be used on Apache server, but only locally. Then I switched to PHP and reconstruct many codes.
Accomplishments that I'm proud of
Tidy GUI of the website and really improved results!
What I learned
I found a good API, HP Haven on Demand. And a lesson from the challenge I just mentioned.
What's next for Optimized Face Recognition Tool
Surely it is not perfect, there are many features to be improved. Performance could be taken as its next step.
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