kopia lustrzana https://github.com/OpenDroneMap/ODM
Shared texturing labeling between multispectral bands
rodzic
8ac4780760
commit
375be07124
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@ -0,0 +1,41 @@
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import os
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from opendm import log
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def replace_nvm_images(src_nvm_file, img_map, dst_nvm_file):
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"""
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Create a new NVM file from an existing NVM file
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replacing the image references based on img_map
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where img_map is a dict { "old_image" --> "new_image" } (filename only).
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The function does not write the points information (they are discarded)
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"""
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with open(src_nvm_file) as f:
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lines = list(map(str.strip, f.read().split("\n")))
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# Quick check
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if len(lines) < 3 or lines[0] != "NVM_V3" or lines[1].strip() != "":
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raise Exception("%s does not seem to be a valid NVM file" % src_nvm_file)
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num_images = int(lines[2])
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entries = []
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for l in lines[3:3+num_images]:
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image_path, *p = l.split(" ")
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dir_name = os.path.dirname(image_path)
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file_name = os.path.basename(image_path)
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new_filename = img_map.get(file_name)
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if new_filename is not None:
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entries.append("%s %s" % (os.path.join(dir_name, new_filename), " ".join(p)))
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else:
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log.ODM_WARNING("Cannot find %s in image map for %s" % (file_name, dst_nvm_file))
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if num_images != len(entries):
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raise Exception("Cannot write %s, not all band images have been matched" % dst_nvm_file)
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with open(dst_nvm_file, "w") as f:
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f.write("NVM_V3\n\n%s\n" % len(entries))
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f.write("\n".join(entries))
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f.write("\n\n0\n0\n\n0")
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@ -25,7 +25,8 @@ class ODMMvsTexStage(types.ODM_Stage):
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'out_dir': os.path.join(tree.odm_texturing, subdir),
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'model': tree.odm_mesh,
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'nadir': False,
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'nvm_file': nvm_file
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'nvm_file': nvm_file,
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'labeling_file': os.path.join(tree.odm_texturing, "odm_textured_model_labeling.vec") if subdir else None
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}]
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if not args.use_3dmesh:
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@ -33,7 +34,8 @@ class ODMMvsTexStage(types.ODM_Stage):
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'out_dir': os.path.join(tree.odm_25dtexturing, subdir),
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'model': tree.odm_25dmesh,
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'nadir': True,
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'nvm_file': nvm_file
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'nvm_file': nvm_file,
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'labeling_file': os.path.join(tree.odm_25dtexturing, "odm_textured_model_labeling.vec") if subdir else None
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}]
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if reconstruction.multi_camera:
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@ -81,7 +83,9 @@ class ODMMvsTexStage(types.ODM_Stage):
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'skipLocalSeamLeveling': skipLocalSeamLeveling,
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'toneMapping': self.params.get('tone_mapping'),
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'nadirMode': nadir,
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'nvm_file': r['nvm_file']
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'nvm_file': r['nvm_file'],
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'intermediate': '--no_intermediate_results' if (r['labeling_file'] or not reconstruction.multi_camera) else '',
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'labelingFile': '-L "%s"' % r['labeling_file'] if r['labeling_file'] else ''
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}
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mvs_tmp_dir = os.path.join(r['out_dir'], 'tmp')
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@ -95,10 +99,11 @@ class ODMMvsTexStage(types.ODM_Stage):
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system.run('{bin} {nvm_file} {model} {out_dir} '
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'-d {dataTerm} -o {outlierRemovalType} '
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'-t {toneMapping} '
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'--no_intermediate_results '
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'{intermediate} '
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'{skipGlobalSeamLeveling} '
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'{skipLocalSeamLeveling} '
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'{nadirMode}'.format(**kwargs))
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'{nadirMode} '
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'{labelingFile} '.format(**kwargs))
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progress += progress_per_run
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self.update_progress(progress)
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@ -29,12 +29,6 @@ class ODMOpenMVSStage(types.ODM_Stage):
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# export reconstruction from opensfm
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octx = OSFMContext(tree.opensfm)
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cmd = 'export_openmvs'
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if reconstruction.multi_camera:
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# Export only the primary band
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primary_band = get_primary_band_name(reconstruction.multi_camera, args.primary_band)
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image_list = os.path.join(tree.opensfm, "image_list_%s.txt" % primary_band.lower())
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cmd += ' --image_list "%s"' % image_list
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octx.run(cmd)
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self.update_progress(10)
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@ -13,6 +13,7 @@ from opendm import types
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from opendm.utils import get_depthmap_resolution
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from opendm.osfm import OSFMContext
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from opendm import multispectral
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from opendm import nvm
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class ODMOpenSfMStage(types.ODM_Stage):
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def process(self, args, outputs):
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@ -127,27 +128,10 @@ class ODMOpenSfMStage(types.ODM_Stage):
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self.update_progress(80)
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if reconstruction.multi_camera:
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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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octx.restore_reconstruction_backup()
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# Undistort primary band and write undistorted
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# reconstruction.json, tracks.csv
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octx.convert_and_undistort(self.rerun(), undistort_callback, runId='primary')
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if not io.file_exists(tree.opensfm_reconstruction_nvm) or self.rerun():
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@ -155,6 +139,29 @@ class ODMOpenSfMStage(types.ODM_Stage):
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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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if reconstruction.multi_camera:
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log.ODM_INFO("Multiple bands found")
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# Write NVM files for the various bands
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for band in reconstruction.multi_camera:
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nvm_file = octx.path("undistorted", "reconstruction_%s.nvm" % band['name'].lower())
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img_map = {}
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for fname in p2s:
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# Primary band maps to itself
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if band['name'] == primary_band_name:
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img_map[fname + '.tif'] = fname + '.tif'
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else:
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band_filename = next((p.filename for p in p2s[fname] if p.band_name == band['name']), None)
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if band_filename is not None:
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img_map[fname + '.tif'] = band_filename + '.tif'
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else:
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log.ODM_WARNING("Cannot find %s band equivalent for %s" % (band, fname))
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nvm.replace_nvm_images(tree.opensfm_reconstruction_nvm, img_map, nvm_file)
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self.update_progress(85)
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