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Remove extra semicolons (#446)
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@ -69,7 +69,7 @@ faces_folder_path = sys.argv[3]
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# face recognition model.
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detector = dlib.get_frontal_face_detector()
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sp = dlib.shape_predictor(predictor_path)
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facerec = dlib.face_recognition_model_v1(face_rec_model_path);
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facerec = dlib.face_recognition_model_v1(face_rec_model_path)
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win = dlib.image_window()
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@ -95,7 +95,7 @@ for f in glob.glob(os.path.join(faces_folder_path, "*.jpg")):
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shape = sp(img, d)
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# Draw the face landmarks on the screen so we can see what face is currently being processed.
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win.clear_overlay()
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win.add_overlay(d);
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win.add_overlay(d)
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win.add_overlay(shape)
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# Compute the 128D vector that describes the face in img identified by
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@ -103,10 +103,10 @@ for f in glob.glob(os.path.join(faces_folder_path, "*.jpg")):
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# distance between them less than 0.6 then they are from the same
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# person, otherwise they are from different people. He we just print
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# the vector to the screen.
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face_descriptor = facerec.compute_face_descriptor(img, shape);
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print(face_descriptor);
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face_descriptor = facerec.compute_face_descriptor(img, shape)
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print(face_descriptor)
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# It should also be noted that you can also call this function like this:
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# face_descriptor = facerec.compute_face_descriptor(img, shape, 100);
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# face_descriptor = facerec.compute_face_descriptor(img, shape, 100)
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# The version of the call without the 100 gets 99.13% accuracy on LFW
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# while the version with 100 gets 99.38%. However, the 100 makes the
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# call 100x slower to execute, so choose whatever version you like. To
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