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python_examples/train_shape_predictor.py
@@ -84,7 +84,7 @@
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print("Testing accuracy: {}".format(
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dlib.test_shape_predictor(testing_xml_path, "predictor.dat")))
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-# Now let's it as you would in a normal application. First we will load it
+# Now let's use it as you would in a normal application. First we will load it
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# from disk. We also need to load a face detector to provide the initial
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# estimate of the facial location.
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predictor = dlib.shape_predictor("predictor.dat")
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