odm_app.py

import os, traceback, sys

from opendm import context
from opendm import types
from opendm import io
from opendm import system
from opendm import log

from stages.dataset import ODMLoadDatasetStage
from stages.run_opensfm import ODMOpenSfMStage
from stages.openmvs import ODMOpenMVSStage
from stages.odm_meshing import ODMeshingStage
from stages.mvstex import ODMMvsTexStage
from stages.odm_georeferencing import ODMGeoreferencingStage
from stages.odm_orthophoto import ODMOrthoPhotoStage
from stages.odm_dem import ODMDEMStage
from stages.odm_filterpoints import ODMFilterPoints
from stages.splitmerge import ODMSplitStage, ODMMergeStage

from stages.odm_report import ODMReport
from stages.odm_postprocess import ODMPostProcess


class ODMApp:
    def __init__(self, args):
        """
        Initializes the application and defines the ODM application pipeline stages
        """
        json_log_paths = [os.path.join(args.project_path, "log.json")]

        if args.copy_to:
            json_log_paths.append(args.copy_to)

        log.logger.init_json_output(json_log_paths, args)
        
        dataset = ODMLoadDatasetStage('dataset', args, progress=5.0)
        split = ODMSplitStage('split', args, progress=75.0)
        merge = ODMMergeStage('merge', args, progress=100.0)
        opensfm = ODMOpenSfMStage('opensfm', args, progress=25.0)
        openmvs = ODMOpenMVSStage('openmvs', args, progress=50.0)
        filterpoints = ODMFilterPoints('odm_filterpoints', args, progress=52.0)
        meshing = ODMeshingStage('odm_meshing', args, progress=60.0,
                                    max_vertex=args.mesh_size,
                                    oct_tree=max(1, min(14, args.mesh_octree_depth)),
                                    samples=1.0,
                                    point_weight=4.0,
                                    max_concurrency=args.max_concurrency)
        texturing = ODMMvsTexStage('mvs_texturing', args, progress=70.0)
        georeferencing = ODMGeoreferencingStage('odm_georeferencing', args, progress=80.0,
                                                    gcp_file=args.gcp)
        dem = ODMDEMStage('odm_dem', args, progress=90.0,
                            max_concurrency=args.max_concurrency)
        orthophoto = ODMOrthoPhotoStage('odm_orthophoto', args, progress=98.0)
        report = ODMReport('odm_report', args, progress=99.0)
        postprocess = ODMPostProcess('odm_postprocess', args, progress=100.0)
        

        # Normal pipeline
        self.first_stage = dataset

        dataset.connect(split) \
                .connect(merge) \
                .connect(opensfm)

        if args.fast_orthophoto:
            opensfm.connect(filterpoints)
        else:
            opensfm.connect(openmvs) \
                   .connect(filterpoints)
        
        filterpoints \
            .connect(meshing) \
            .connect(texturing) \
            .connect(georeferencing) \
            .connect(dem) \
            .connect(orthophoto) \
            .connect(report) \
            .connect(postprocess)
                
    def execute(self):
        try:
            self.first_stage.run()
            log.logger.log_json_success()
            return 0
        except system.SubprocessException as e:
            print("")
            print("===== Dumping Info for Geeks (developers need this to fix bugs) =====")
            print(str(e))
            stack_trace = traceback.format_exc()
            print(stack_trace)
            print("===== Done, human-readable information to follow... =====")
            print("")

            code = e.errorCode
            log.logger.log_json_stage_error(str(e), code, stack_trace)

            if code == 139 or code == 134 or code == 1 or code == 3221225477:
                # Segfault
                log.ODM_ERROR("Uh oh! Processing stopped because of strange values in the reconstruction. This is often a sign that the input data has some issues or the software cannot deal with it. Have you followed best practices for data acquisition? See https://docs.opendronemap.org/flying/")
            elif code == 137 or code == 3221226505:
                log.ODM_ERROR("Whoops! You ran out of memory! Add more RAM to your computer, if you're using docker configure it to use more memory, for WSL2 make use of .wslconfig (https://docs.microsoft.com/en-us/windows/wsl/wsl-config#configure-global-options-with-wslconfig), resize your images, lower the quality settings or process the images using a cloud provider (e.g. https://webodm.net).")
            elif code == 132:
                log.ODM_ERROR("Oh no! It looks like your CPU is not supported (is it fairly old?). You can still use ODM, but you will need to build your own docker image. See https://github.com/OpenDroneMap/ODM#build-from-source")
            elif code == 3:
                log.ODM_ERROR("ODM can't find a program that is required for processing to run! Did you do a custom build of ODM? (cool!) Make sure that all programs required by ODM are in the right place and are built correctly.")
            else:
                log.ODM_ERROR("The program exited with a strange error code. Please report it at https://community.opendronemap.org")

            # TODO: more?

            return code
        except system.ExitException as e:
            log.ODM_ERROR(str(e))
            log.logger.log_json_stage_error(str(e), 1, traceback.format_exc())
            sys.exit(1)
        except Exception as e:
            log.logger.log_json_stage_error(str(e), 1, traceback.format_exc())
            raise e
        finally:
            log.logger.close()