74 lines
2.9 KiB
Python
74 lines
2.9 KiB
Python
#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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# Copyright 2013 California Institute of Technology. ALL RIGHTS RESERVED.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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# United States Government Sponsorship acknowledged. This software is subject to
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# U.S. export control laws and regulations and has been classified as 'EAR99 NLR'
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# (No [Export] License Required except when exporting to an embargoed country,
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# end user, or in support of a prohibited end use). By downloading this software,
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# the user agrees to comply with all applicable U.S. export laws and regulations.
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# The user has the responsibility to obtain export licenses, or other export
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# authority as may be required before exporting this software to any 'EAR99'
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# embargoed foreign country or citizen of those countries.
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#
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# Authors: Kosal Khun, Marco Lavalle
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#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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# Comment: Adapted from InsarProc/extractInfo.py by Brett George
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from contrib.frameUtils.FrameInfoExtractor import FrameInfoExtractor
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import logging
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logger = logging.getLogger('isce.isceProc.ExtractInfo')
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def extractInfo(self, frames):
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FIE = FrameInfoExtractor()
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infos = []
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for frame in frames:
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infos.append(FIE.extractInfoFromFrame(frame))
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mainInfo = infos[0]
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mainInfo.sensingStart = [ info.sensingStart for info in infos ]
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mainInfo.sensingStop = [ info.sensingStop for info in infos ]
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# for stitched frames do not make sense anymore
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bbs = [ info.getBBox() for info in infos ]
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bbxy = {}
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for x in range(4):
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bbxy[x] = {}
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for y in range(2):
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bbxy[x][y] = [ bb[x][y] for bb in bbs ]
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latEarlyNear = bbxy[0][0][0]
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latLateNear = bbxy[2][0][0]
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#figure out which one is the bottom
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if latEarlyNear > latLateNear:
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#early is the top
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ret = []
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# the calculation computes the minimum bbox. it is not exact, but given
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# the approximation in the estimate of the corners, it's ok
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for x, op1, op2 in zip(range(4), (min, min, max, max), (max, min, max, min)):
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ret.append([op1(bbxy[x][0]), op2(bbxy[x][1])])
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else:
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# late is the top
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ret = []
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for x, op1, op2 in zip(range(4), (max, max, min, min), (max, min, max, min)):
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ret.append([op1(bbxy[x][0]), op2(bbxy[x][1])])
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mainInfo.bbox = ret
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return mainInfo
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# the track should be the same for all
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