mirror of
https://github.com/serengil/deepface.git
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87 lines
2.4 KiB
Python
87 lines
2.4 KiB
Python
import matplotlib.pyplot as plt
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import numpy as np
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from deepface.basemodels import VGGFace
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from deepface.commons import functions
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# ----------------------------------------------
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# build face recognition model
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model = VGGFace.loadModel()
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try:
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input_shape = model.layers[0].input_shape[1:3]
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except: # issue 470
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input_shape = model.layers[0].input_shape[0][1:3]
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print("model input shape: ", model.layers[0].input_shape[1:])
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print("model output shape: ", model.layers[-1].input_shape[-1])
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# ----------------------------------------------
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# load images and find embeddings
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# img1 = functions.detectFace("dataset/img1.jpg", input_shape)
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img1 = functions.preprocess_face("dataset/img1.jpg", input_shape)
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img1_representation = model.predict(img1)[0, :]
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# img2 = functions.detectFace("dataset/img3.jpg", input_shape)
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img2 = functions.preprocess_face("dataset/img3.jpg", input_shape)
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img2_representation = model.predict(img2)[0, :]
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# ----------------------------------------------
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# distance between two images
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distance_vector = np.square(img1_representation - img2_representation)
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# print(distance_vector)
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distance = np.sqrt(distance_vector.sum())
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print("Euclidean distance: ", distance)
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# ----------------------------------------------
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# expand vectors to be shown better in graph
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img1_graph = []
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img2_graph = []
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distance_graph = []
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for i in range(0, 200):
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img1_graph.append(img1_representation)
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img2_graph.append(img2_representation)
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distance_graph.append(distance_vector)
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img1_graph = np.array(img1_graph)
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img2_graph = np.array(img2_graph)
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distance_graph = np.array(distance_graph)
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# ----------------------------------------------
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# plotting
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fig = plt.figure()
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ax1 = fig.add_subplot(3, 2, 1)
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plt.imshow(img1[0][:, :, ::-1])
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plt.axis("off")
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ax2 = fig.add_subplot(3, 2, 2)
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im = plt.imshow(img1_graph, interpolation="nearest", cmap=plt.cm.ocean)
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plt.colorbar()
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ax3 = fig.add_subplot(3, 2, 3)
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plt.imshow(img2[0][:, :, ::-1])
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plt.axis("off")
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ax4 = fig.add_subplot(3, 2, 4)
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im = plt.imshow(img2_graph, interpolation="nearest", cmap=plt.cm.ocean)
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plt.colorbar()
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ax5 = fig.add_subplot(3, 2, 5)
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plt.text(0.35, 0, f"Distance: {distance}")
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plt.axis("off")
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ax6 = fig.add_subplot(3, 2, 6)
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im = plt.imshow(distance_graph, interpolation="nearest", cmap=plt.cm.ocean)
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plt.colorbar()
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plt.show()
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# ----------------------------------------------
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