update to have cleaner releases

Author: David Doukhan

inaFaceGender/remote_utils.py

@@ -28,28 +28,30 @@
 # inaFaceGender models are stored remotely within github releases
 # this code allows to download and use them on demand
 
-url_r1 = 'https://github.com/ina-foss/inaFaceGender/releases/download/models-init/'
-url_r2 = 'https://github.com/ina-foss/inaFaceGender/releases/download/models-init-2/'
+r1_url = 'https://github.com/ina-foss/inaFaceGender/releases/download/models/'
 
 dmodels = {
     # These 2 models are provided for face detection in opencv
     # https://raw.githubusercontent.com/opencv/opencv_3rdparty/dnn_samples_face_detector_20180220_uint8/opencv_face_detector_uint8.pb
     # https://github.com/opencv/opencv/blob/4eb296655958e9241f43a7bd144d5e63759f6cea/samples/dnn/face_detector/opencv_face_detector.pbtxt
-    'opencv_face_detector_uint8.pb' : url_r2,
-    'opencv_face_detector.pbtxt' : url_r2,
+    'opencv_face_detector_uint8.pb' : r1_url,
+    'opencv_face_detector.pbtxt' : r1_url,
     # Dlib's Facial landmarks prediction
     # http://dlib.net/files/shape_predictor_68_face_landmarks.dat.bz2
-    'shape_predictor_68_face_landmarks.dat' : url_r2,
+    'shape_predictor_68_face_landmarks.dat' : r1_url,
     # Resnet50 architectures trained on FairFace database
-    'keras_resnet50_fairface_GRA.h5' : url_r1,
-    'keras_resnet50_fairface.h5' : url_r1,
+    'keras_resnet50_fairface_GRA.h5' : r1_url,
+    'keras_resnet50_fairface.h5' : r1_url,
     # linear SVM trained on Youtube Faces VGG16 face embeddings
-    'svm_ytf_zrezgui.hdf5': url_r2,
+    'svm_ytf_zrezgui.hdf5' : r1_url,
     # linear SVM trained on FairFace VGG 16 embeddings
-    'svm_vgg16_fairface.hdf5': url_r2,
-    }
-
+    'svm_vgg16_fairface.hdf5' : r1_url}
 
 def get_remote(model_fname):
     url = dmodels[model_fname]
-    return get_file(model_fname, url + model_fname)
+    return get_file(model_fname, url + model_fname, cache_subdir='inaFaceGender')
+
+def download_all():
+    # usefull at the initalisation of a Docker image
+    for k in dmodels:
+        get_remote(k)