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@@ -0,0 +1,34 @@
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+import csv
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+import os
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+import numpy as np
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+
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+sum_distance = 0
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+counter = 0
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+
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+def vector_string_to_float(vector):
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+ """
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+ Convert vector string to float
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+
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+ Parameters:
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+ vector: vector still in string
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+ Returns:
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+ vector: vector with type float
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+ """
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+ vector = vector.split(';')
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+ vector = list(map(float, vector))
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+ return vector
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+
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+path = os.path.join(os.getcwd(), 'Assets\\demo_and_body_positions.csv')
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+print("path: ", path)
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+with open(path, newline='') as csvfile:
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+ reader = csv.reader(csvfile)
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+ next(reader)
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+ for row in reader:
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+ for i in range(18):
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+ demo = vector_string_to_float(row[i])
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+ body = vector_string_to_float(row[i+18])
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+ distance = np.linalg.norm(np.subtract(demo, body))
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+ sum_distance += distance
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+ counter += 1
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+
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+print("3d accuracy: ", sum_distance / counter)
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