Inspiration
Inspired by the death of Harambe, we set out to keep the memory and legacy of Harambe alive. We thought this is best shown by showing there is a bit of Harambe in everyone
What it does
The application is fairly simple. The app takes an image of Harambe and posts it over a face it detects on a webcam.
How we built
Using OpenCV and Python, we created a method to track the faces in appearing in the webcam. From this, we take the image and apply the 'Harambe filter' over the faces identified in the webcam
Challenges we ran into
Every project comes with a challenge, and this definitely incorporated many challenges. First the frame rate was a challenge to overcome as the application appeared to lag behind real time.
Accomplishments that we're proud of
We are proud of getting working computer vision and face tracking working .
What we learned
We learned several concepts in Python, with many of the team members not knowing how to code or with minimal experience in Python.
What's next for Long Live Harambe
Next we will be adding multiple Harambe filters that will change on the type of facial recognition the software uses. Also there will be a manual mode to change the filter.
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