Facial Recognition using C++, OpenCV, DNN

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)

Skills: C++ Programming, Linux, OpenCV, Deep Learning

About the Client:
( 15 reviews ) Rancho Cucamonga, United States

Project ID: #33700651

Awarded to:

(7 Reviews)

8 freelancers are bidding on average $4430 for this job


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