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example_usage.py
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example_usage.py
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# BSD 3-Clause License
#
# Copyright (c) 2022-2023, Friedrich-Alexander-Universität Erlangen-Nürnberg.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# * Redistributions of source code must retain the above copyright notice, this
# list of conditions and the following disclaimer.
#
# * Redistributions in binary form must reproduce the above copyright notice,
# this list of conditions and the following disclaimer in the documentation
# and/or other materials provided with the distribution.
#
# * Neither the name of the copyright holder nor the names of its
# contributors may be used to endorse or promote products derived from
# this software without specific prior written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
# DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
# FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
# DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
# SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
# CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
# OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
import numpy as np
import bjontegaard as bd
# Test data for test case 1
rate_anchor = np.array([9487.76, 4593.60, 2486.44, 1358.24])
psnr_anchor = np.array([40.037, 38.615, 36.845, 34.851])
rate_test = np.array([9787.80, 4469.00, 2451.52, 1356.24])
psnr_test = np.array([40.121, 38.651, 36.970, 34.987])
# If filepath is given, it describes the file that the resulting plot is written to.
bd.compare_methods(rate_anchor, psnr_anchor, rate_test, psnr_test, figure_label="Test 1", filepath=None)
bd.plot_rcd(rate_anchor, psnr_anchor, rate_test, psnr_test, method="akima")
bd_rate = bd.bd_rate(rate_anchor, psnr_anchor, rate_test, psnr_test, method="akima")
print(f"BD-Rate (Test 1): {bd_rate:.2f} %")
# Test data for test case 2 (high bitrates)
rate_anchor = np.array([82472.76, 26875.24, 9487.76, 4593.6])
psnr_anchor = np.array([43.825, 41.404, 40.037, 38.615])
rate_test = np.array([99896.96, 33952.04, 9787.8, 4469.0])
psnr_test = np.array([44.731, 41.875, 40.121, 38.651])
bd.compare_methods(rate_anchor, psnr_anchor, rate_test, psnr_test, figure_label="Test 2 (High bitrates)", filepath=None)
bd.plot_rcd(rate_anchor, psnr_anchor, rate_test, psnr_test, method="akima")
bd_rate = bd.bd_rate(rate_anchor, psnr_anchor, rate_test, psnr_test, method="akima")
print(f"BD-Rate (Test 2): {bd_rate:.2f} %")
# Test data for test case 3 (more supporting points)
rate_anchor = np.array([82472.76, 26875.24, 9487.76, 4593.6, 3600, 2900])
psnr_anchor = np.array([43.825, 41.404, 40.037, 38.615, 36.5, 35.1])
rate_test = np.array([99896.96, 33952.04, 9787.8, 4469.0, 4040, 3300])
psnr_test = np.array([44.731, 41.875, 40.121, 38.651, 37, 36.5])
bd.compare_methods(rate_anchor, psnr_anchor, rate_test, psnr_test, figure_label="Test 3 (more supporting points)", filepath=None)
bd.plot_rcd(rate_anchor, psnr_anchor, rate_test, psnr_test, method="akima")
bd_rate = bd.bd_rate(rate_anchor, psnr_anchor, rate_test, psnr_test, method="akima")
print(f"BD-Rate (Test 3): {bd_rate:.2f} %")