DEV-26376: Recode python layer to C++ in detection net

[jes-bz]

Jira ticket [here] (https://curalate.atlassian.net/browse/DEV-26376)

This adds the needed proposal C++ layer to run the detection net in fullC++ mode at test time. This pr DOES NOT add the needed layers for training in full C++ mode.

The C++ proposal layer and its supporting util classes are sourced from here https://github.com/D-X-Y/caffe-faster-rcnn/tree/dev

TESTING

• Compared the output of the detection net running in QA with the python layer and the output of the detection net running locally with the new c++ layer

DuGGcxpVIsDC2kzzND5X0VOCcIbzwEzVdl8vqSq7M7Q=

PYTHON
{
  "boxes": [
    {
      "category": "shoe",
      "prob": 0.9812438,
      "box": {
        "x1": 0.48601973,
        "y1": 0.51059943,
        "x2": 0.86403507,
        "y2": 0.81304824
      }
    },
    {
      "category": "shoe",
      "prob": 0.9716225,
      "box": {
        "x1": 0.20449561,
        "y1": 0.50950295,
        "x2": 0.54248905,
        "y2": 0.7940424
      }
    },
    {
      "category": "shoe",
      "prob": 0.6384584,
      "box": {
        "x1": 0.6145833,
        "y1": 0.7198465,
        "x2": 0.89007676,
        "y2": 0.80336255
      }
    }
  ]
}

C++
{
  "boxes": [
    {
      "category": "shoe",
      "prob": 0.9812438,
      "box": {
        "x1": 0.48601973,
        "y1": 0.51059943,
        "x2": 0.86403507,
        "y2": 0.81304824
      }
    },
    {
      "category": "shoe",
      "prob": 0.9716225,
      "box": {
        "x1": 0.20449561,
        "y1": 0.50950295,
        "x2": 0.54248905,
        "y2": 0.7940424
      }
    },
    {
      "category": "shoe",
      "prob": 0.6384584,
      "box": {
        "x1": 0.6145833,
        "y1": 0.7198465,
        "x2": 0.89007676,
        "y2": 0.80336255
      }
    }
  ]
}


7muX1hYeqARFZFYKZj5C6kHZTDrAvoZdaVL3ZjWhPck=

PYTHON
{
  "boxes": [
    {
      "category": "dress",
      "prob": 0.98020387,
      "box": {
        "x1": 0.41953385,
        "y1": 0.5104167,
        "x2": 0.55160934,
        "y2": 0.9464286
      }
    }
  ]
}

C++
{
  "boxes": [
    {
      "category": "dress",
      "prob": 0.98020387,
      "box": {
        "x1": 0.41953385,
        "y1": 0.5104167,
        "x2": 0.55160934,
        "y2": 0.9464286
      }
    }
  ]
}

MHeWBfyddnzUmxCuNkg7E4OLCrb33flT_FhSHbgjCP8=
PYTHON
{
  "boxes": [
    {
      "category": "shoe",
      "prob": 0.9539689,
      "box": {
        "x1": 0.14783002,
        "y1": 0.46383363,
        "x2": 0.7011754,
        "y2": 0.829566
      }
    },
    {
      "category": "shoe",
      "prob": 0.6624305,
      "box": {
        "x1": 0.5506329,
        "y1": 0.27893308,
        "x2": 0.89783,
        "y2": 0.5971971
      }
    }
  ]
}

C++
{
  "boxes": [
    {
      "category": "shoe",
      "prob": 0.9539689,
      "box": {
        "x1": 0.14783002,
        "y1": 0.46383363,
        "x2": 0.7011754,
        "y2": 0.829566
      }
    },
    {
      "category": "shoe",
      "prob": 0.6624305,
      "box": {
        "x1": 0.5506329,
        "y1": 0.27893308,
        "x2": 0.89783,
        "y2": 0.5971971
      }
    }
  ]
}

[mbassov]

Great job, thank you! 🚀