Facial Recognition using C++, OpenCV, DNN
Budget $3000-5000 USD
Job Description:
We are looking to build a facial recognition shared library. The core library must be written in C++ due to future testing requirements. There will end up being multiple stages for ongoing work.
Stage 1 - Proof of concept
- OpenCV utilizing pre-trained DNN models that are available
- Load image by filename and detect face
- Write binary face template to disc with 128D vectors, write template data (i.e. eye location, UUID)
- Finalize gallery by concatenating enrolled templates and merging template data into a manifest
- Search gallery with probe image
- Generate candidate list from search sorted by Euclidian distance [0-1] and match w/ manifest data
- Build C++ shared library so tests can be called via command line and through another test application
Environment Requirements
- Library must run on 64 bit version of Ubuntu 20.04.3 LTS (Focal Fossa) w/ Linux kernal 5.4.0-91-generic
- Library must be in a format that is dynamically linkable using C++17 compiler g++ version 9.3.0
- Run on x86_64 platforms
- Use CPU processing (GPU will be down the road)
- Run in single threaded mode
- Capable of being parallelized via the fork() function
- Can read image, detect face, write template within 1 second or less
- Templates must be 32KB MAX (smaller the better)
Awarded to:
8 freelancers are bidding on average $4430 for this job
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