[jacinto-ai/pytorch-jacinto-ai-devkit.git] / modules / pytorch_jacinto_ai / xvision / datasets / pixel2pixel / kitti_sceneflow.py
diff --git a/modules/pytorch_jacinto_ai/xvision/datasets/pixel2pixel/kitti_sceneflow.py b/modules/pytorch_jacinto_ai/xvision/datasets/pixel2pixel/kitti_sceneflow.py
index f0c843931b061d58966bf76ebcfc386712e70028..a6f8275889886876d2019acb61ffc4f14210412f 100644 (file)
+#################################################################################
+# Copyright (c) 2018-2021, Texas Instruments Incorporated - http://www.ti.com
+# 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.
+#
+#################################################################################
+# Some parts of the code are borrowed from: https://github.com/ansleliu/LightNet
+# with the following license:
+#
+# MIT License
+#
+# Copyright (c) 2018 Huijun Liu
+#
+# Permission is hereby granted, free of charge, to any person obtaining a copy
+# of this software and associated documentation files (the "Software"), to deal
+# in the Software without restriction, including without limitation the rights
+# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+# copies of the Software, and to permit persons to whom the Software is
+# furnished to do so, subject to the following conditions:
+#
+# The above copyright notice and this permission notice shall be included in all
+# copies or substantial portions of the Software.
+#
+# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+# SOFTWARE.
+
+
+"""
+Reference: http://www.cvlibs.net/datasets/kitti/
+
+Are we ready for Autonomous Driving? The KITTI Vision Benchmark Suite,
+Andreas Geiger and Philip Lenz and Raquel Urtasun,
+Conference on Computer Vision and Pattern Recognition (CVPR), 2012
+
+Vision meets Robotics: The KITTI Dataset,
+Andreas Geiger and Philip Lenz and Christoph Stiller and Raquel Urtasun,
+International Journal of Robotics Research (IJRR), 2013
+
+A New Performance Measure and Evaluation Benchmark for Road Detection Algorithms,
+Jannik Fritsch and Tobias Kuehnl and Andreas Geiger,
+International Conference on Intelligent Transportation Systems (ITSC), 2013
+
+Object Scene Flow for Autonomous Vehicles,
+Moritz Menze and Andreas Geiger,
+Conference on Computer Vision and Pattern Recognition (CVPR), 2015
+"""
+
from __future__ import division
import os.path
import glob