From d9c6a4eaa42ba9f8246b09a9a8d7364b7f221cae Mon Sep 17 00:00:00 2001
From: Sefik Ilkin Serengil <serengil@gmail.com>
Date: Fri, 1 May 2020 20:25:09 +0300
Subject: [PATCH] how

---
 tests/face-recognition-how.py | 84 +++++++++++++++++++++++++++++++++++
 1 file changed, 84 insertions(+)
 create mode 100644 tests/face-recognition-how.py

diff --git a/tests/face-recognition-how.py b/tests/face-recognition-how.py
new file mode 100644
index 0000000..deb201f
--- /dev/null
+++ b/tests/face-recognition-how.py
@@ -0,0 +1,84 @@
+#!pip install deepface
+from deepface.basemodels import VGGFace, OpenFace, Facenet, FbDeepFace
+from deepface.commons import functions
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+#----------------------------------------------
+#build face recognition model
+
+model = VGGFace.loadModel()
+#model = Facenet.loadModel()
+#model = OpenFace.loadModel()
+#model = FbDeepFace.loadModel()
+
+input_shape = model.layers[0].input_shape[1:3]
+
+print("model input shape: ", model.layers[0].input_shape[1:])
+print("model output shape: ", model.layers[-1].input_shape[-1])
+
+#----------------------------------------------
+#load images and find embeddings
+
+img1 = functions.detectFace("dataset/img1.jpg", input_shape)
+img1_representation = model.predict(img1)[0,:]
+
+img2 = functions.detectFace("dataset/img3.jpg", input_shape)
+img2_representation = model.predict(img2)[0,:]
+
+#----------------------------------------------
+#distance between two images
+
+distance_vector = np.square(img1_representation - img2_representation)
+#print(distance_vector)
+
+distance = np.sqrt(distance_vector.sum())
+print("Euclidean distance: ",distance)
+
+#----------------------------------------------
+#expand vectors to be shown better in graph
+
+img1_graph = []; img2_graph = []; distance_graph = []
+
+for i in range(0, 200):
+	img1_graph.append(img1_representation)
+	img2_graph.append(img2_representation)
+	distance_graph.append(distance_vector)
+
+img1_graph = np.array(img1_graph)
+img2_graph = np.array(img2_graph)
+distance_graph = np.array(distance_graph)
+
+#----------------------------------------------
+#plotting
+
+fig = plt.figure()
+
+ax1 = fig.add_subplot(3,2,1)
+plt.imshow(img1[0][:,:,::-1])
+plt.axis('off')
+
+ax2 = fig.add_subplot(3,2,2)
+im = plt.imshow(img1_graph, interpolation='nearest', cmap=plt.cm.ocean)
+plt.colorbar()
+
+ax3 = fig.add_subplot(3,2,3)
+plt.imshow(img2[0][:,:,::-1])
+plt.axis('off')
+
+ax4 = fig.add_subplot(3,2,4)
+im = plt.imshow(img2_graph, interpolation='nearest', cmap=plt.cm.ocean)
+plt.colorbar()
+
+ax5 = fig.add_subplot(3,2,5)
+plt.text(0.35, 0, "Distance: %s" % (distance))
+plt.axis('off')
+
+ax6 = fig.add_subplot(3,2,6)
+im = plt.imshow(distance_graph, interpolation='nearest', cmap=plt.cm.ocean)
+plt.colorbar()
+
+plt.show()
+
+#----------------------------------------------
\ No newline at end of file