Added the DR-GAN encoder as feature extractor

added the DR-GAN encoder as a bob.bio.base.extractor

[DR-GAN] removed the dependency to bob.bio.base.extractor

[DR-GAN] added test for DR-GAN

Organized the download mechanism

Added some documentation

bob/ip/tensorflow_extractor/__init__.py

@@ -66,6 +66,7 @@ def get_config():
 
 from .Extractor import Extractor
 from .FaceNet import FaceNet
+from .DrGanMSU import  DrGanMSUExtractor
 
 
 # gets sphinx autodoc done right - don't remove it
@@ -87,6 +88,7 @@ def __appropriate__(*args):
 __appropriate__(
     Extractor,
     FaceNet,
+    DrGanMSUExtractor,
 )
 
 # gets sphinx autodoc done right - don't remove it

bob/ip/tensorflow_extractor/test.py

@@ -46,6 +46,18 @@ def test_facenet():
     output = extractor(data)
     assert output.size == 128, output.shape
 
+def test_drgan():
+    """
+    '/remote/idiap.svm/user.active/heusch/work/dev/DR-GAN_code_wmodel/DR_GAN_model/DCGAN.model-590000'
+    """
+    from bob.ip.tensorflow_extractor import DrGanMSUExtractor
+    #extractor = DrGanMSUExtractor("/idiap/project/hface/models/cnn/DR_GAN_model/", image_size=[96, 96, 3])
+    extractor = DrGanMSUExtractor()
+    data = numpy.random.rand(3, 96, 96).astype("uint8")
+    output = extractor(data)
+    assert output.size == 320, output.shape
+
+
 
 """
 def test_output_from_meta():

doc/extra-intersphinx.txt

+bob.bio.base

doc/guide.rst

@@ -48,3 +48,24 @@ In this example we plot some outputs of the convolutional layer `conv1`.
 
 .. plot:: plot/convolve.py
    :include-source: False
+   
+   
+Facenet Model
+-------------
+
+
+:ref:`bob.bio.base <bob.bio.base>` wrapper Facenet model.
+Check `here for more info <py_api.html#bob.ip.tensorflow_extractor.FaceNet>`_
+
+
+
+DRGan from L.Tran @ MSU:
+------------------------
+
+:ref:`bob.bio.base <bob.bio.base>` wrapper to the DRGan model trained by L.Tran @ MSU.
+Check `here <py_api.html#bob.ip.tensorflow_extractor.DrGanMSUExtractor>`_ for more info
+
+
+
+
+