kopia lustrzana https://github.com/OpenDroneMap/ODM
rodzic
5ec1b58a70
commit
5042787d4c
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@ -87,7 +87,6 @@ class ODM_Photo:
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if cit in tags:
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self.band_index = int(tags[cit])
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self.width, self.height = get_image_size.get_image_size(_path_file)
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print(self)
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# From https://github.com/mapillary/OpenSfM/blob/master/opensfm/exif.py
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def get_xmp(self, file):
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@ -328,8 +327,8 @@ class ODM_Tree(object):
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self.opensfm_bundle_list = io.join_paths(self.opensfm, 'list_r000.out')
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self.opensfm_image_list = io.join_paths(self.opensfm, 'image_list.txt')
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self.opensfm_reconstruction = io.join_paths(self.opensfm, 'reconstruction.json')
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self.opensfm_reconstruction_nvm = io.join_paths(self.opensfm, 'reconstruction.nvm')
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self.opensfm_model = io.join_paths(self.opensfm, 'depthmaps/merged.ply')
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self.opensfm_reconstruction_nvm = io.join_paths(self.opensfm, 'undistorted/reconstruction.nvm')
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self.opensfm_model = io.join_paths(self.opensfm, 'undistorted/depthmaps/merged.ply')
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self.opensfm_transformation = io.join_paths(self.opensfm, 'geocoords_transformation.txt')
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# mve
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@ -354,8 +353,6 @@ class ODM_Tree(object):
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self.odm_texuring_log = 'odm_texturing_log.txt'
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# odm_georeferencing
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self.odm_georeferencing_latlon = io.join_paths(
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self.odm_georeferencing, 'latlon.txt')
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self.odm_georeferencing_coords = io.join_paths(
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self.odm_georeferencing, 'coords.txt')
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self.odm_georeferencing_gcp = gcp_file or io.find('gcp_list.txt', self.root_path)
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@ -74,7 +74,7 @@ class ODMMvsTexStage(types.ODM_Stage):
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'toneMapping': self.params.get('tone_mapping'),
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'nadirMode': nadir,
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'nadirWeight': 2 ** args.texturing_nadir_weight - 1,
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'nvm_file': io.join_paths(tree.opensfm, "reconstruction.nvm")
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'nvm_file': tree.opensfm_reconstruction_nvm
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}
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mvs_tmp_dir = os.path.join(r['out_dir'], 'tmp')
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@ -57,7 +57,7 @@ class ODMOpenSfMStage(types.ODM_Stage):
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octx.touch(updated_config_flag_file)
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# These will be used for texturing / MVS
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undistorted_images_path = octx.path("undistorted")
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undistorted_images_path = octx.path("undistorted", "images")
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if not io.dir_exists(undistorted_images_path) or self.rerun():
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octx.run('undistort')
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@ -66,11 +66,32 @@ class ODMOpenSfMStage(types.ODM_Stage):
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self.update_progress(80)
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if not io.file_exists(tree.opensfm_reconstruction_nvm) or self.rerun():
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octx.run('export_visualsfm --undistorted --points')
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if not reconstruction.multi_camera:
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if not io.file_exists(tree.opensfm_reconstruction_nvm) or self.rerun():
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octx.run('export_visualsfm --points')
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else:
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log.ODM_WARNING('Found a valid OpenSfM NVM reconstruction file in: %s' %
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tree.opensfm_reconstruction_nvm)
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else:
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log.ODM_WARNING('Found a valid OpenSfM NVM reconstruction file in: %s' %
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tree.opensfm_reconstruction_nvm)
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# Dump band image lists
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log.ODM_INFO("Multiple bands found")
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for band in reconstruction.multi_camera:
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log.ODM_INFO("Exporting %s band" % band['name'])
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image_list_file = octx.path("image_list_%s.txt" % band['name'].lower())
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if not io.file_exists(image_list_file) or self.rerun():
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with open(image_list_file, "w") as f:
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f.write("\n".join([p.filename for p in band['photos']]))
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log.ODM_INFO("Wrote %s" % image_list_file)
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else:
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log.ODM_WARNING("Found a valid image list in %s for %s band" % (image_list_file, band['name']))
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nvm_file = octx.path("undistorted", "reconstruction_%s.nvm" % band['name'].lower())
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if not io.file_exists(nvm_file) or self.rerun():
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octx.run('export_visualsfm --points --image_list "%s"' % image_list_file)
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os.rename(tree.opensfm_reconstruction_nvm, nvm_file)
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else:
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log.ODM_WARNING("Found a valid NVM file in %s for %s band" % (nvm_file, band['name']))
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self.update_progress(85)
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