def upload(self, file_path, filename_list):
#https://stackoverflow.com/questions/45071567/how-to-send-custom-header-metadata-with-python-grpc
for each_file in filename_list:
chunks_generator = get_file_chunks(
io.join_paths(file_path, filename_list))
response, call = self.stub.upload.with_call(
chunks_generator,
metadata=(('node-id', self.nodeid), ('filename', each_file)))
# else:
# images = glob.glob(in_file_name_or_file_path)
# #print(images)
# for each in images:
# chunks_generator = get_file_chunks(each)
# filename = each.split('/')[-1]
# response, call = self.stub.upload.with_call(chunks_generator, metadata=(('node-id', self.nodeid),('filename', filename)))
#print(response.length)
# to do loop through the files
#assert response.length == os.path.getsize(in_file_name_or_file_path)
return response
def __init__(self, root_path, images_path, gcp_file = None):
# root path to the project
self.root_path = io.absolute_path_file(root_path)
if not images_path:
self.input_images = io.join_paths(self.root_path, 'images')
else:
self.input_images = io.absolute_path_file(images_path)
# modules paths
# here are defined where all modules should be located in
# order to keep track all files al directories during the
# whole reconstruction process.
self.dataset_raw = io.join_paths(self.root_path, 'images')
self.opensfm = io.join_paths(self.root_path, 'opensfm')
self.mve = io.join_paths(self.root_path, 'mve')
self.odm_meshing = io.join_paths(self.root_path, 'odm_meshing')
self.odm_texturing = io.join_paths(self.root_path, 'odm_texturing')
self.odm_25dtexturing = io.join_paths(self.root_path, 'odm_texturing_25d')
self.odm_georeferencing = io.join_paths(self.root_path, 'odm_georeferencing')
self.odm_25dgeoreferencing = io.join_paths(self.root_path, 'odm_25dgeoreferencing')
self.odm_filterpoints = io.join_paths(self.root_path, 'odm_filterpoints')
self.odm_orthophoto = io.join_paths(self.root_path, 'odm_orthophoto')
# important files paths
# benchmarking
self.benchmarking = io.join_paths(self.root_path, 'benchmark.txt')
self.dataset_list = io.join_paths(self.root_path, 'img_list.txt')
# opensfm
self.opensfm_tracks = io.join_paths(self.opensfm, 'tracks.csv')
self.opensfm_bundle = io.join_paths(self.opensfm, 'bundle_r000.out')
self.opensfm_bundle_list = io.join_paths(self.opensfm, 'list_r000.out')
self.opensfm_image_list = io.join_paths(self.opensfm, 'image_list.txt')
self.opensfm_reconstruction = io.join_paths(self.opensfm, 'reconstruction.json')
self.opensfm_reconstruction_nvm = io.join_paths(self.opensfm, 'reconstruction.nvm')
self.opensfm_model = io.join_paths(self.opensfm, 'depthmaps/merged.ply')
self.opensfm_transformation = io.join_paths(self.opensfm, 'geocoords_transformation.txt')
# mve
self.mve_model = io.join_paths(self.mve, 'mve_dense_point_cloud.ply')
self.mve_path = io.join_paths(self.opensfm, 'mve')
self.mve_image_list = io.join_paths(self.mve_path, 'list.txt')
self.mve_bundle = io.join_paths(self.mve_path, 'bundle/bundle.out')
self.mve_views = io.join_paths(self.mve, 'views')
# filter points
self.filtered_point_cloud = io.join_paths(self.odm_filterpoints, "point_cloud.ply")
# odm_meshing
self.odm_mesh = io.join_paths(self.odm_meshing, 'odm_mesh.ply')
self.odm_meshing_log = io.join_paths(self.odm_meshing, 'odm_meshing_log.txt')
self.odm_25dmesh = io.join_paths(self.odm_meshing, 'odm_25dmesh.ply')
self.odm_25dmeshing_log = io.join_paths(self.odm_meshing, 'odm_25dmeshing_log.txt')
# texturing
self.odm_texturing_undistorted_image_path = io.join_paths(
self.odm_texturing, 'undistorted')
self.odm_textured_model_obj = 'odm_textured_model.obj'
self.odm_textured_model_mtl = 'odm_textured_model.mtl'
# Log is only used by old odm_texturing
self.odm_texuring_log = 'odm_texturing_log.txt'
# odm_georeferencing
self.odm_georeferencing_latlon = io.join_paths(
self.odm_georeferencing, 'latlon.txt')
self.odm_georeferencing_coords = io.join_paths(
self.odm_georeferencing, 'coords.txt')
self.odm_georeferencing_gcp = gcp_file or io.find('gcp_list.txt', self.root_path)
self.odm_georeferencing_utm_log = io.join_paths(
self.odm_georeferencing, 'odm_georeferencing_utm_log.txt')
self.odm_georeferencing_log = 'odm_georeferencing_log.txt'
self.odm_georeferencing_transform_file = 'odm_georeferencing_transform.txt'
self.odm_georeferencing_proj = 'proj.txt'
self.odm_georeferencing_model_txt_geo = 'odm_georeferencing_model_geo.txt'
self.odm_georeferencing_model_obj_geo = 'odm_textured_model_geo.obj'
self.odm_georeferencing_xyz_file = io.join_paths(
self.odm_georeferencing, 'odm_georeferenced_model.csv')
self.odm_georeferencing_las_json = io.join_paths(
self.odm_georeferencing, 'las.json')
self.odm_georeferencing_model_laz = io.join_paths(
self.odm_georeferencing, 'odm_georeferenced_model.laz')
self.odm_georeferencing_model_las = io.join_paths(
self.odm_georeferencing, 'odm_georeferenced_model.las')
self.odm_georeferencing_dem = io.join_paths(
self.odm_georeferencing, 'odm_georeferencing_model_dem.tif')
# odm_orthophoto
self.odm_orthophoto_file = io.join_paths(self.odm_orthophoto, 'odm_orthophoto.png')
self.odm_orthophoto_tif = io.join_paths(self.odm_orthophoto, 'odm_orthophoto.tif')
self.odm_orthophoto_corners = io.join_paths(self.odm_orthophoto, 'odm_orthophoto_corners.txt')
self.odm_orthophoto_log = io.join_paths(self.odm_orthophoto, 'odm_orthophoto_log.txt')
self.odm_orthophoto_tif_log = io.join_paths(self.odm_orthophoto, 'gdal_translate_log.txt')
# Split-merge
self.submodels_path = io.join_paths(self.root_path, 'submodels')
# Tiles
self.entwine_pointcloud = self.path("entwine_pointcloud")
def __init__(self, root_path, images_path):
# root path to the project
self.root_path = io.absolute_path_file(root_path)
if not images_path:
self.input_images = io.join_paths(self.root_path, 'images')
else:
self.input_images = io.absolute_path_file(images_path)
# modules paths
# here are defined where all modules should be located in
# order to keep track all files al directories during the
# whole reconstruction process.
self.dataset_raw = io.join_paths(self.root_path, 'images')
self.dataset_resize = io.join_paths(self.root_path, 'images_resize')
self.opensfm = io.join_paths(self.root_path, 'opensfm')
self.pmvs = io.join_paths(self.root_path, 'pmvs')
self.odm_meshing = io.join_paths(self.root_path, 'odm_meshing')
self.odm_texturing = io.join_paths(self.root_path, 'odm_texturing')
self.odm_25dtexturing = io.join_paths(self.root_path,
'odm_texturing_25d')
self.odm_georeferencing = io.join_paths(self.root_path,
'odm_georeferencing')
self.odm_25dgeoreferencing = io.join_paths(self.root_path,
'odm_25dgeoreferencing')
self.odm_orthophoto = io.join_paths(self.root_path, 'odm_orthophoto')
self.odm_pdal = io.join_paths(self.root_path, 'pdal')
# important files paths
# benchmarking
self.benchmarking = io.join_paths(self.root_path, 'benchmark.txt')
# opensfm
self.opensfm_tracks = io.join_paths(self.opensfm, 'tracks.csv')
self.opensfm_bundle = io.join_paths(self.opensfm, 'bundle_r000.out')
self.opensfm_bundle_list = io.join_paths(self.opensfm, 'list_r000.out')
self.opensfm_image_list = io.join_paths(self.opensfm, 'image_list.txt')
self.opensfm_reconstruction = io.join_paths(self.opensfm,
'reconstruction.json')
self.opensfm_reconstruction_meshed = io.join_paths(
self.opensfm, 'reconstruction.meshed.json')
self.opensfm_reconstruction_nvm = io.join_paths(
self.opensfm, 'reconstruction.nvm')
self.opensfm_model = io.join_paths(self.opensfm,
'depthmaps/merged.ply')
# pmvs
self.pmvs_rec_path = io.join_paths(self.pmvs, 'recon0')
self.pmvs_bundle = io.join_paths(self.pmvs_rec_path, 'bundle.rd.out')
self.pmvs_visdat = io.join_paths(self.pmvs_rec_path, 'vis.dat')
self.pmvs_options = io.join_paths(self.pmvs_rec_path,
'pmvs_options.txt')
self.pmvs_model = io.join_paths(self.pmvs_rec_path,
'models/option-0000.ply')
# odm_meshing
self.odm_mesh = io.join_paths(self.odm_meshing, 'odm_mesh.ply')
self.odm_meshing_log = io.join_paths(self.odm_meshing,
'odm_meshing_log.txt')
self.odm_25dmesh = io.join_paths(self.odm_meshing, 'odm_25dmesh.ply')
self.odm_25dmeshing_log = io.join_paths(self.odm_meshing,
'odm_25dmeshing_log.txt')
# texturing
self.odm_texturing_undistorted_image_path = io.join_paths(
self.odm_texturing, 'undistorted')
self.odm_textured_model_obj = 'odm_textured_model.obj'
self.odm_textured_model_mtl = 'odm_textured_model.mtl'
# Log is only used by old odm_texturing
self.odm_texuring_log = 'odm_texturing_log.txt'
# odm_georeferencing
self.odm_georeferencing_latlon = io.join_paths(self.odm_georeferencing,
'latlon.txt')
self.odm_georeferencing_coords = io.join_paths(self.odm_georeferencing,
'coords.txt')
self.odm_georeferencing_gcp = io.join_paths(self.odm_georeferencing,
'gcp_list.txt')
self.odm_georeferencing_utm_log = io.join_paths(
self.odm_georeferencing, 'odm_georeferencing_utm_log.txt')
self.odm_georeferencing_log = 'odm_georeferencing_log.txt'
self.odm_georeferencing_model_txt_geo = 'odm_georeferencing_model_geo.txt'
self.odm_georeferencing_model_ply_geo = 'odm_georeferenced_model.ply'
self.odm_georeferencing_model_obj_geo = 'odm_textured_model_geo.obj'
self.odm_georeferencing_xyz_file = io.join_paths(
self.odm_georeferencing, 'odm_georeferenced_model.csv')
self.odm_georeferencing_las_json = io.join_paths(
self.odm_georeferencing, 'las.json')
self.odm_georeferencing_model_las = io.join_paths(
self.odm_georeferencing, 'odm_georeferenced_model.las')
self.odm_georeferencing_dem = io.join_paths(
self.odm_georeferencing, 'odm_georeferencing_model_dem.tif')
self.odm_georeferencing_dem_json = io.join_paths(
self.odm_georeferencing, 'dem.json')
# odm_orthophoto
self.odm_orthophoto_file = io.join_paths(self.odm_orthophoto,
'odm_orthophoto.png')
self.odm_orthophoto_tif = io.join_paths(self.odm_orthophoto,
'odm_orthophoto.tif')
self.odm_orthophoto_corners = io.join_paths(
self.odm_orthophoto, 'odm_orthophoto_corners.txt')
self.odm_orthophoto_log = io.join_paths(self.odm_orthophoto,
'odm_orthophoto_log.txt')
self.odm_orthophoto_tif_log = io.join_paths(self.odm_orthophoto,
'gdal_translate_log.txt')
self.odm_orthophoto_gdaladdo_log = io.join_paths(
self.odm_orthophoto, 'gdaladdo_log.txt')
def path(self, *args):
return io.join_paths(self.root_path, *args)
def __init__(self, root_path, images_path):
# root path to the project
self.root_path = io.absolute_path_file(root_path)
if not images_path:
self.input_images = io.join_paths(self.root_path, 'images')
else:
self.input_images = io.absolute_path_file(images_path)
# modules paths
# here are defined where all modules should be located in
# order to keep track all files al directories during the
# whole reconstruction process.
self.dataset_raw = io.join_paths(self.root_path, 'images')
self.dataset_resize = io.join_paths(self.root_path, 'images_resize')
self.opensfm = io.join_paths(self.root_path, 'opensfm')
self.pmvs = io.join_paths(self.root_path, 'pmvs')
self.odm_meshing = io.join_paths(self.root_path, 'odm_meshing')
self.odm_texturing = io.join_paths(self.root_path, 'odm_texturing')
self.odm_georeferencing = io.join_paths(self.root_path, 'odm_georeferencing')
self.odm_orthophoto = io.join_paths(self.root_path, 'odm_orthophoto')
self.odm_pdal = io.join_paths(self.root_path, 'pdal')
# important files paths
# benchmarking
self.benchmarking = io.join_paths(self.root_path, 'benchmark.txt')
# opensfm
self.opensfm_bundle = io.join_paths(self.opensfm, 'bundle_r000.out')
self.opensfm_bundle_list = io.join_paths(self.opensfm, 'list_r000.out')
self.opensfm_image_list = io.join_paths(self.opensfm, 'image_list.txt')
self.opensfm_reconstruction = io.join_paths(self.opensfm, 'reconstruction.json')
self.opensfm_model = io.join_paths(self.opensfm, 'depthmaps/merged.ply')
# pmvs
self.pmvs_rec_path = io.join_paths(self.pmvs, 'recon0')
self.pmvs_bundle = io.join_paths(self.pmvs_rec_path, 'bundle.rd.out')
self.pmvs_visdat = io.join_paths(self.pmvs_rec_path, 'vis.dat')
self.pmvs_options = io.join_paths(self.pmvs_rec_path, 'pmvs_options.txt')
self.pmvs_model = io.join_paths(self.pmvs_rec_path, 'models/option-0000.ply')
# odm_meshing
self.odm_mesh = io.join_paths(self.odm_meshing, 'odm_mesh.ply')
self.odm_meshing_log = io.join_paths(self.odm_meshing, 'odm_meshing_log.txt')
# texturing
self.odm_texturing_undistorted_image_path = io.join_paths(
self.odm_texturing, 'undistorted')
self.odm_textured_model_obj = io.join_paths(
self.odm_texturing, 'odm_textured_model.obj')
self.odm_textured_model_mtl = io.join_paths(
self.odm_texturing, 'odm_textured_model.mtl')
# Log is only used by old odm_texturing
self.odm_texuring_log = io.join_paths(
self.odm_texturing, 'odm_texturing_log.txt')
# odm_georeferencing
self.odm_georeferencing_latlon = io.join_paths(
self.odm_georeferencing, 'latlon.txt')
self.odm_georeferencing_coords = io.join_paths(
self.odm_georeferencing, 'coords.txt')
self.odm_georeferencing_gcp = io.join_paths(
self.odm_georeferencing, 'gcp_list.txt')
self.odm_georeferencing_utm_log = io.join_paths(
self.odm_georeferencing, 'odm_georeferencing_utm_log.txt')
self.odm_georeferencing_log = io.join_paths(
self.odm_georeferencing, 'odm_georeferencing_log.txt')
self.odm_georeferencing_model_txt_geo = io.join_paths(
self.odm_georeferencing, 'odm_georeferencing_model_geo.txt')
self.odm_georeferencing_model_ply_geo = io.join_paths(
self.odm_georeferencing, 'odm_georeferenced_model.ply')
self.odm_georeferencing_model_obj_geo = io.join_paths(
self.odm_texturing, 'odm_textured_model_geo.obj') # these files will be kept in odm_texturing/
self.odm_georeferencing_model_mtl_geo = io.join_paths(
self.odm_texturing, 'odm_textured_model_geo.mtl') # these files will be kept in odm_texturing/
self.odm_georeferencing_xyz_file = io.join_paths(
self.odm_georeferencing, 'odm_georeferenced_model.csv')
self.odm_georeferencing_pdal = io.join_paths(
self.odm_georeferencing, 'pipeline.xml')
# odm_orthophoto
self.odm_orthophoto_file = io.join_paths(self.odm_orthophoto, 'odm_orthophoto.png')
self.odm_orthophoto_tif = io.join_paths(self.odm_orthophoto, 'odm_orthophoto.tif')
self.odm_orthophoto_corners = io.join_paths(self.odm_orthophoto, 'odm_orthophoto_corners.txt')
self.odm_orthophoto_log = io.join_paths(self.odm_orthophoto, 'odm_orthophoto_log.txt')
self.odm_orthophoto_tif_log = io.join_paths(self.odm_orthophoto, 'gdal_translate_log.txt')
def path(self, *args):
return io.join_paths(self.root_path, *args)
def __init__(self, root_path, images_path, gcp_file = None):
# root path to the project
self.root_path = io.absolute_path_file(root_path)
if not images_path:
self.input_images = io.join_paths(self.root_path, 'images')
else:
self.input_images = io.absolute_path_file(images_path)
# modules paths
# here are defined where all modules should be located in
# order to keep track all files al directories during the
# whole reconstruction process.
self.dataset_raw = io.join_paths(self.root_path, 'images')
self.opensfm = io.join_paths(self.root_path, 'opensfm')
self.mve = io.join_paths(self.root_path, 'mve')
self.odm_meshing = io.join_paths(self.root_path, 'odm_meshing')
self.odm_texturing = io.join_paths(self.root_path, 'odm_texturing')
self.odm_25dtexturing = io.join_paths(self.root_path, 'odm_texturing_25d')
self.odm_georeferencing = io.join_paths(self.root_path, 'odm_georeferencing')
self.odm_25dgeoreferencing = io.join_paths(self.root_path, 'odm_25dgeoreferencing')
self.odm_filterpoints = io.join_paths(self.root_path, 'odm_filterpoints')
self.odm_orthophoto = io.join_paths(self.root_path, 'odm_orthophoto')
# important files paths
# benchmarking
self.benchmarking = io.join_paths(self.root_path, 'benchmark.txt')
self.dataset_list = io.join_paths(self.root_path, 'img_list.txt')
# opensfm
self.opensfm_tracks = io.join_paths(self.opensfm, 'tracks.csv')
self.opensfm_bundle = io.join_paths(self.opensfm, 'bundle_r000.out')
self.opensfm_bundle_list = io.join_paths(self.opensfm, 'list_r000.out')
self.opensfm_image_list = io.join_paths(self.opensfm, 'image_list.txt')
self.opensfm_reconstruction = io.join_paths(self.opensfm, 'reconstruction.json')
self.opensfm_reconstruction_nvm = io.join_paths(self.opensfm, 'reconstruction.nvm')
self.opensfm_model = io.join_paths(self.opensfm, 'depthmaps/merged.ply')
self.opensfm_transformation = io.join_paths(self.opensfm, 'geocoords_transformation.txt')
# mve
self.mve_model = io.join_paths(self.mve, 'mve_dense_point_cloud.ply')
self.mve_path = io.join_paths(self.opensfm, 'mve')
self.mve_image_list = io.join_paths(self.mve_path, 'list.txt')
self.mve_bundle = io.join_paths(self.mve_path, 'bundle/bundle.out')
self.mve_views = io.join_paths(self.mve, 'views')
# filter points
self.filtered_point_cloud = io.join_paths(self.odm_filterpoints, "point_cloud.ply")
# odm_meshing
self.odm_mesh = io.join_paths(self.odm_meshing, 'odm_mesh.ply')
self.odm_meshing_log = io.join_paths(self.odm_meshing, 'odm_meshing_log.txt')
self.odm_25dmesh = io.join_paths(self.odm_meshing, 'odm_25dmesh.ply')
self.odm_25dmeshing_log = io.join_paths(self.odm_meshing, 'odm_25dmeshing_log.txt')
# texturing
self.odm_texturing_undistorted_image_path = io.join_paths(
self.odm_texturing, 'undistorted')
self.odm_textured_model_obj = 'odm_textured_model.obj'
self.odm_textured_model_mtl = 'odm_textured_model.mtl'
# Log is only used by old odm_texturing
self.odm_texuring_log = 'odm_texturing_log.txt'
# odm_georeferencing
self.odm_georeferencing_latlon = io.join_paths(
self.odm_georeferencing, 'latlon.txt')
self.odm_georeferencing_coords = io.join_paths(
self.odm_georeferencing, 'coords.txt')
self.odm_georeferencing_gcp = gcp_file or io.find('gcp_list.txt', self.root_path)
self.odm_georeferencing_utm_log = io.join_paths(
self.odm_georeferencing, 'odm_georeferencing_utm_log.txt')
self.odm_georeferencing_log = 'odm_georeferencing_log.txt'
self.odm_georeferencing_transform_file = 'odm_georeferencing_transform.txt'
self.odm_georeferencing_proj = 'proj.txt'
self.odm_georeferencing_model_txt_geo = 'odm_georeferencing_model_geo.txt'
self.odm_georeferencing_model_obj_geo = 'odm_textured_model_geo.obj'
self.odm_georeferencing_xyz_file = io.join_paths(
self.odm_georeferencing, 'odm_georeferenced_model.csv')
self.odm_georeferencing_las_json = io.join_paths(
self.odm_georeferencing, 'las.json')
self.odm_georeferencing_model_laz = io.join_paths(
self.odm_georeferencing, 'odm_georeferenced_model.laz')
self.odm_georeferencing_model_las = io.join_paths(
self.odm_georeferencing, 'odm_georeferenced_model.las')
self.odm_georeferencing_dem = io.join_paths(
self.odm_georeferencing, 'odm_georeferencing_model_dem.tif')
# odm_orthophoto
self.odm_orthophoto_file = io.join_paths(self.odm_orthophoto, 'odm_orthophoto.png')
self.odm_orthophoto_tif = io.join_paths(self.odm_orthophoto, 'odm_orthophoto.tif')
self.odm_orthophoto_corners = io.join_paths(self.odm_orthophoto, 'odm_orthophoto_corners.txt')
self.odm_orthophoto_log = io.join_paths(self.odm_orthophoto, 'odm_orthophoto_log.txt')
self.odm_orthophoto_tif_log = io.join_paths(self.odm_orthophoto, 'gdal_translate_log.txt')
self.odm_orthophoto_gdaladdo_log = io.join_paths(self.odm_orthophoto, 'gdaladdo_log.txt')
def __init__(self, root_path):
# root path to the project
self.root_path = io.absolute_path_file(root_path)
# modules paths
# here are defined where all modules should be located in
# order to keep track all files al directories during the
# whole reconstruction process.
self.dataset_raw = io.join_paths(self.root_path, 'images')
self.dataset_resize = io.join_paths(self.root_path, 'images_resize')
self.opensfm = io.join_paths(self.root_path, 'opensfm')
self.pmvs = io.join_paths(self.root_path, 'pmvs')
self.odm_meshing = io.join_paths(self.root_path, 'odm_meshing')
self.odm_texturing = io.join_paths(self.root_path, 'odm_texturing')
self.odm_georeferencing = io.join_paths(self.root_path,
'odm_georeferencing')
self.odm_orthophoto = io.join_paths(self.root_path, 'odm_orthophoto')
self.odm_pdal = io.join_paths(self.root_path, 'pdal')
# important files paths
# benchmarking
self.benchmarking = io.join_paths(self.root_path, 'benchmark.txt')
# opensfm
self.opensfm_bundle = io.join_paths(self.opensfm, 'bundle_r000.out')
self.opensfm_bundle_list = io.join_paths(self.opensfm, 'list_r000.out')
self.opensfm_image_list = io.join_paths(self.opensfm, 'image_list.txt')
self.opensfm_reconstruction = io.join_paths(self.opensfm,
'reconstruction.json')
# pmvs
self.pmvs_rec_path = io.join_paths(self.pmvs, 'recon0')
self.pmvs_bundle = io.join_paths(self.pmvs_rec_path, 'bundle.rd.out')
self.pmvs_visdat = io.join_paths(self.pmvs_rec_path, 'vis.dat')
self.pmvs_options = io.join_paths(self.pmvs_rec_path,
'pmvs_options.txt')
self.pmvs_model = io.join_paths(self.pmvs_rec_path,
'models/option-0000.ply')
# odm_meshing
self.odm_mesh = io.join_paths(self.odm_meshing, 'odm_mesh.ply')
self.odm_meshing_log = io.join_paths(self.odm_meshing,
'odm_meshing_log.txt')
# odm_texturing
self.odm_textured_model_obj = io.join_paths(self.odm_texturing,
'odm_textured_model.obj')
self.odm_textured_model_mtl = io.join_paths(self.odm_texturing,
'odm_textured_model.mtl')
self.odm_texuring_log = io.join_paths(self.odm_texturing,
'odm_texturing_log.txt')
# odm_georeferencing
self.odm_georeferencing_latlon = io.join_paths(self.odm_georeferencing,
'latlon.txt')
self.odm_georeferencing_coords = io.join_paths(self.odm_georeferencing,
'coords.txt')
self.odm_georeferencing_gcp = io.join_paths(self.odm_georeferencing,
'gcp_list.txt')
self.odm_georeferencing_utm_log = io.join_paths(
self.odm_georeferencing, 'odm_georeferencing_utm_log.txt')
self.odm_georeferencing_log = io.join_paths(
self.odm_georeferencing, 'odm_georeferencing_log.txt')
self.odm_georeferencing_model_txt_geo = io.join_paths(
self.odm_georeferencing, 'odm_georeferencing_model_geo.txt')
self.odm_georeferencing_model_ply_geo = io.join_paths(
self.odm_georeferencing, 'odm_georeferenced_model.ply')
self.odm_georeferencing_model_obj_geo = io.join_paths(
self.odm_texturing, 'odm_textured_model_geo.obj'
) # these files will be kept in odm_texturing/
self.odm_georeferencing_model_mtl_geo = io.join_paths(
self.odm_texturing, 'odm_textured_model_geo.mtl'
) # these files will be kept in odm_texturing/
self.odm_georeferencing_xyz_file = io.join_paths(
self.odm_georeferencing, 'odm_georeferenced_model.csv')
self.odm_georeferencing_pdal = io.join_paths(self.odm_georeferencing,
'pipeline.xml')
# odm_orthophoto
self.odm_orthophoto_file = io.join_paths(self.odm_orthophoto,
'odm_orthophoto.png')
self.odm_orthophoto_tif = io.join_paths(self.odm_orthophoto,
'odm_orthophoto.tif')
self.odm_orthophoto_corners = io.join_paths(
self.odm_orthophoto, 'odm_orthphoto_corners.txt')
self.odm_orthophoto_log = io.join_paths(self.odm_orthophoto,
'odm_orthophoto_log.txt')
self.odm_orthophoto_tif_log = io.join_paths(self.odm_orthophoto,
'gdal_translate_log.txt')
