import ecto import os import struct import pipes from opendm import io from opendm import log from opendm import types from opendm import system from opendm import context from opendm.cropper import Cropper from opendm import point_cloud class ODMGeoreferencingCell(ecto.Cell): def declare_params(self, params): params.declare("gcp_file", 'path to the file containing the ground control ' 'points used for georeferencing.The file needs to ' 'be on the following line format: \neasting ' 'northing height pixelrow pixelcol imagename', 'gcp_list.txt') params.declare("use_exif", 'use exif', False) params.declare("verbose", 'print additional messages to console', False) def declare_io(self, params, inputs, outputs): inputs.declare("tree", "Struct with paths", []) inputs.declare("args", "The application arguments.", {}) inputs.declare("reconstruction", "list of ODMReconstructions", []) outputs.declare("reconstruction", "list of ODMReconstructions", []) def process(self, inputs, outputs): # Benchmarking start_time = system.now_raw() log.ODM_INFO('Running ODM Georeferencing Cell') # get inputs args = inputs.args tree = inputs.tree reconstruction = inputs.reconstruction gcpfile = tree.odm_georeferencing_gcp doPointCloudGeo = True transformPointCloud = True verbose = '-verbose' if self.params.verbose else '' geo_ref = reconstruction.georef # check if we rerun cell or not rerun_cell = (args.rerun is not None and args.rerun == 'odm_georeferencing') or \ (args.rerun_all) or \ (args.rerun_from is not None and 'odm_georeferencing' in args.rerun_from) runs = [{ 'georeferencing_dir': tree.odm_georeferencing, 'texturing_dir': tree.odm_texturing, 'model': os.path.join(tree.odm_texturing, tree.odm_textured_model_obj) }] if args.skip_3dmodel: runs = [] if not args.use_3dmesh: # Make sure 2.5D mesh is georeferenced before the 3D mesh # Because it will be used to calculate a transform # for the point cloud. If we use the 3D model transform, # DEMs and orthophoto might not align! runs.insert(0, { 'georeferencing_dir': tree.odm_25dgeoreferencing, 'texturing_dir': tree.odm_25dtexturing, 'model': os.path.join(tree.odm_25dtexturing, tree.odm_textured_model_obj) }) for r in runs: odm_georeferencing_model_obj_geo = os.path.join(r['texturing_dir'], tree.odm_georeferencing_model_obj_geo) odm_georeferencing_log = os.path.join(r['georeferencing_dir'], tree.odm_georeferencing_log) odm_georeferencing_transform_file = os.path.join(r['georeferencing_dir'], tree.odm_georeferencing_transform_file) odm_georeferencing_model_txt_geo_file = os.path.join(r['georeferencing_dir'], tree.odm_georeferencing_model_txt_geo) if not io.file_exists(odm_georeferencing_model_obj_geo) or \ not io.file_exists(tree.odm_georeferencing_model_laz) or rerun_cell: # odm_georeference definitions kwargs = { 'bin': context.odm_modules_path, 'bundle': tree.opensfm_bundle, 'imgs': tree.dataset_raw, 'imgs_list': tree.opensfm_bundle_list, 'model': r['model'], 'log': odm_georeferencing_log, 'input_trans_file': tree.opensfm_transformation, 'transform_file': odm_georeferencing_transform_file, 'coords': tree.odm_georeferencing_coords, 'output_pc_file': tree.odm_georeferencing_model_laz, 'geo_sys': odm_georeferencing_model_txt_geo_file, 'model_geo': odm_georeferencing_model_obj_geo, 'gcp': gcpfile, 'verbose': verbose } if args.fast_orthophoto: kwargs['input_pc_file'] = os.path.join(tree.opensfm, 'reconstruction.ply') elif args.use_opensfm_dense: kwargs['input_pc_file'] = tree.opensfm_model else: kwargs['input_pc_file'] = tree.mve_model if transformPointCloud: kwargs['pc_params'] = '-inputPointCloudFile {input_pc_file} -outputPointCloudFile {output_pc_file}'.format(**kwargs) if geo_ref and geo_ref.projection and geo_ref.projection.srs: kwargs['pc_params'] += ' -outputPointCloudSrs %s' % pipes.quote(geo_ref.projection.srs) else: log.ODM_WARNING('NO SRS: The output point cloud will not have a SRS.') else: kwargs['pc_params'] = '' # Check to see if the GCP file exists if not self.params.use_exif and (self.params.gcp_file or tree.odm_georeferencing_gcp): log.ODM_INFO('Found %s' % gcpfile) try: system.run('{bin}/odm_georef -bundleFile {bundle} -imagesPath {imgs} -imagesListPath {imgs_list} ' '-inputFile {model} -outputFile {model_geo} ' '{pc_params} {verbose} ' '-logFile {log} -outputTransformFile {transform_file} -georefFileOutputPath {geo_sys} -gcpFile {gcp} ' '-outputCoordFile {coords}'.format(**kwargs)) except Exception: log.ODM_EXCEPTION('Georeferencing failed. ') return ecto.QUIT elif io.file_exists(tree.opensfm_transformation) and io.file_exists(tree.odm_georeferencing_coords): log.ODM_INFO('Running georeferencing with OpenSfM transformation matrix') system.run('{bin}/odm_georef -bundleFile {bundle} -inputTransformFile {input_trans_file} -inputCoordFile {coords} ' '-inputFile {model} -outputFile {model_geo} ' '{pc_params} {verbose} ' '-logFile {log} -outputTransformFile {transform_file} -georefFileOutputPath {geo_sys}'.format(**kwargs)) elif io.file_exists(tree.odm_georeferencing_coords): log.ODM_INFO('Running georeferencing with generated coords file.') system.run('{bin}/odm_georef -bundleFile {bundle} -inputCoordFile {coords} ' '-inputFile {model} -outputFile {model_geo} ' '{pc_params} {verbose} ' '-logFile {log} -outputTransformFile {transform_file} -georefFileOutputPath {geo_sys}'.format(**kwargs)) else: log.ODM_WARNING('Georeferencing failed. Make sure your ' 'photos have geotags in the EXIF or you have ' 'provided a GCP file. ') doPointCloudGeo = False # skip the rest of the georeferencing if doPointCloudGeo: # update images metadata geo_ref.extract_offsets(odm_georeferencing_model_txt_geo_file) reconstruction.georef = geo_ref # XYZ point cloud output if args.pc_csv: log.ODM_INFO("Creating geo-referenced CSV file (XYZ format)") system.run("pdal translate -i \"{}\" " "-o \"{}\" " "--writers.text.format=csv " "--writers.text.order=\"X,Y,Z\" " "--writers.text.keep_unspecified=false ".format( tree.odm_georeferencing_model_laz, tree.odm_georeferencing_xyz_file)) # LAS point cloud output if args.pc_las: log.ODM_INFO("Creating geo-referenced LAS file") system.run("pdal translate -i \"{}\" " "-o \"{}\" ".format( tree.odm_georeferencing_model_laz, tree.odm_georeferencing_model_las)) if args.crop > 0: log.ODM_INFO("Calculating cropping area and generating bounds shapefile from point cloud") cropper = Cropper(tree.odm_georeferencing, 'odm_georeferenced_model') decimation_step = 40 if args.fast_orthophoto or args.use_opensfm_dense else 90 # More aggressive decimation for large datasets if not args.fast_orthophoto: decimation_step *= int(len(reconstruction.photos) / 1000) + 1 cropper.create_bounds_shapefile(tree.odm_georeferencing_model_laz, args.crop, decimation_step=decimation_step, outlier_radius=20 if args.fast_orthophoto else 2) # Do not execute a second time, since # We might be doing georeferencing for # multiple models (3D, 2.5D, ...) doPointCloudGeo = False transformPointCloud = False else: log.ODM_WARNING('Found a valid georeferenced model in: %s' % tree.odm_georeferencing_model_laz) outputs.reconstruction = reconstruction if args.time: system.benchmark(start_time, tree.benchmarking, 'Georeferencing') log.ODM_INFO('Running ODM Georeferencing Cell - Finished') return ecto.OK if args.end_with != 'odm_georeferencing' else ecto.QUIT