Port mtcnn to Tensorflow 2

Using the TF1 model.pb

bob/ip/facedetect/tests/test_annotators.py

-from bob.ip.facedetect import MTCNNAnnotator
-
-import bob.io.base
-import bob.io.base.test_utils
-import bob.io.image
-
-import numpy
-
-face_image = bob.io.base.load(
-    bob.io.base.test_utils.datafile(
-        'testimage.jpg', 'bob.ip.facedetect'
-    )
-)
-
-def test_mtcnn_annnotator():
-    mtcnn_annotator = MTCNNAnnotator()
-    annot = mtcnn_annotator([face_image], expected_face_nb=1)[0][0]
-
-    assert [int(x) for x in annot['topleft']] == [68, 76], annot
-    assert [int(x) for x in annot['bottomright']] == [344, 274], annot
-    assert [int(x) for x in annot['reye']] == [180, 129], annot
-    assert [int(x) for x in annot['leye']] == [175, 220], annot
-    assert numpy.allclose(annot['quality'], 0.9998974), annot
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