Hi,
I would like to use ODM with images from our multispectral sensor Sentera AGX710.
For each shot, we have two jpg with 2+3 channels (and one garbage channel).
ODM failed with a small batch of images. Here is the log with latest docker image
INFO] Initializing ODM 2.7.2 - Tue Feb 15 15:49:08 2022e
[INFO] ==============e
[INFO] auto_boundary: Truee
[INFO] boundary: {}e
[INFO] build_overviews: Truee
[INFO] camera_lens: autoe
[INFO] cameras: {}e
[INFO] cog: Falsee
[INFO] copy_to: Nonee
[INFO] crop: 3e
[INFO] debug: Falsee
[INFO] dem_decimation: 1e
[INFO] dem_euclidean_map: Falsee
[INFO] dem_gapfill_steps: 3e
[INFO] dem_resolution: 5e
[INFO] depthmap_resolution: 640e
[INFO] dsm: Truee
[INFO] dtm: Falsee
[INFO] end_with: odm_postprocesse
[INFO] fast_orthophoto: Falsee
[INFO] feature_quality: lowe
[INFO] feature_type: sifte
[INFO] force_gps: Falsee
[INFO] gcp: Nonee
[INFO] geo: Nonee
[INFO] gps_accuracy: 10e
[INFO] ignore_gsd: Truee
[INFO] matcher_neighbors: 8e
[INFO] matcher_type: flanne
[INFO] max_concurrency: 16e
[INFO] merge: alle
[INFO] mesh_octree_depth: 12e
[INFO] mesh_size: 200000e
[INFO] min_num_features: 10000e
[INFO] name: codee
[INFO] optimize_disk_space: Falsee
[INFO] orthophoto_compression: DEFLATEe
[INFO] orthophoto_cutline: Truee
[INFO] orthophoto_kmz: Truee
[INFO] orthophoto_no_tiled: Falsee
[INFO] orthophoto_png: Truee
[INFO] orthophoto_resolution: 5e
[INFO] pc_classify: Falsee
[INFO] pc_csv: Falsee
[INFO] pc_ept: Falsee
[INFO] pc_filter: 2.5e
[INFO] pc_geometric: Falsee
[INFO] pc_las: Falsee
[INFO] pc_quality: lowe
[INFO] pc_rectify: Falsee
[INFO] pc_sample: 0e
[INFO] pc_tile: Falsee
[INFO] primary_band: autoe
[INFO] project_path: /e
[INFO] radiometric_calibration: nonee
[INFO] rerun: Nonee
[INFO] rerun_all: Falsee
[INFO] rerun_from: Nonee
[INFO] resize_to: 2048e
[INFO] sfm_algorithm: incrementale
[INFO] skip_3dmodel: Falsee
[INFO] skip_band_alignment: Falsee
[INFO] skip_orthophoto: Falsee
[INFO] skip_report: Falsee
[INFO] sm_cluster: Nonee
[INFO] smrf_scalar: 1.25e
[INFO] smrf_slope: 0.15e
[INFO] smrf_threshold: 0.5e
[INFO] smrf_window: 18.0e
[INFO] split: 999999e
[INFO] split_image_groups: Nonee
[INFO] split_overlap: 150e
[INFO] texturing_data_term: gmie
[INFO] texturing_keep_unseen_faces: Falsee
[INFO] texturing_outlier_removal_type: gauss_clampinge
[INFO] texturing_skip_global_seam_leveling: Falsee
[INFO] texturing_skip_local_seam_leveling: Falsee
[INFO] texturing_tone_mapping: nonee
[INFO] tiles: Falsee
[INFO] time: Truee
[INFO] use_3dmesh: Falsee
[INFO] use_exif: Falsee
[INFO] use_fixed_camera_params: Falsee
[INFO] use_hybrid_bundle_adjustment: Falsee
[INFO] verbose: Falsee
[INFO] ==============e
[INFO] Running dataset stagee
[INFO] Loading dataset from: /code/imagese
[INFO] Loading 22 imagese
[INFO] Wrote images database: /code/images.jsone
[INFO] Found 22 usable imagese
[INFO] Coordinates file already exist: /code/odm_georeferencing/coords.txte
[INFO] Model geo file already exist: /code/odm_georeferencing/odm_georeferencing_model_geo.txte
[INFO] Parsing SRS header: WGS84 UTM 31Ne
[INFO] Finished dataset stagee
[INFO] Running split stagee
[INFO] Normal dataset, will process all at once.e
[INFO] Finished split stagee
[INFO] Running merge stagee
[INFO] Normal dataset, nothing to merge.e
[INFO] Finished merge stagee
[INFO] Running opensfm stagee
[INFO] Reconstruction will use 11 images from auto bande
[INFO] Maximum photo dimensions: 4000pxe
[INFO] Photo dimensions for feature extraction: 500pxe
[INFO] nvidia-smi not found in PATH, using CPUe
[INFO] Altitude data detected, enabling it for GPS alignmente
[INFO] ['use_exif_size: no', 'flann_algorithm: KDTREE', 'feature_process_size: 500', 'feature_min_frames: 10000', 'processes: 16', 'matching_gps_neighbors: 8', 'matching_gps_distance: 0', 'matching_graph_rounds: 50', 'optimize_camera_parameters: yes', 'reconstruction_algorithm: incremental', 'undistorted_image_format: tif', 'bundle_outlier_filtering_type: AUTO', 'sift_peak_threshold: 0.066', 'align_orientation_prior: vertical', 'triangulation_type: ROBUST', 'retriangulation_ratio: 2', 'matcher_type: FLANN', 'feature_type: SIFT', 'use_altitude_tag: yes', 'align_method: auto', 'local_bundle_radius: 0']e
[INFO] Wrote reference_lla.jsone
[INFO] running "/code/SuperBuild/install/bin/opensfm/bin/opensfm" detect_features "/code/opensfm"e
2022-02-15 15:49:10,965 INFO: Capping memory usage to ~ 20554.904296875 MB
2022-02-15 15:49:10,965 INFO: Expecting to process 200 images.
2022-02-15 15:49:10,975 INFO: Reading data for image NRGB_IMG_00023.jpg (queue-size=0
2022-02-15 15:49:10,975 INFO: Reading data for image NRGB_IMG_00028.jpg (queue-size=0
2022-02-15 15:49:10,975 INFO: Reading data for image NRGB_IMG_00029.jpg (queue-size=0
2022-02-15 15:49:10,976 INFO: Reading data for image NRGB_IMG_00027.jpg (queue-size=0
2022-02-15 15:49:11,319 INFO: Reading data for image NRGB_IMG_00024.jpg (queue-size=1
2022-02-15 15:49:11,320 INFO: Extracting ROOT_SIFT features for image NRGB_IMG_00028.jpg
2022-02-15 15:49:11,324 INFO: Reading data for image NRGB_IMG_00020.jpg (queue-size=1
2022-02-15 15:49:11,324 INFO: Reading data for image NRGB_IMG_00026.jpg (queue-size=2
2022-02-15 15:49:11,325 INFO: Extracting ROOT_SIFT features for image NRGB_IMG_00023.jpg
2022-02-15 15:49:11,325 INFO: Extracting ROOT_SIFT features for image NRGB_IMG_00029.jpg
2022-02-15 15:49:11,328 INFO: Reading data for image NRGB_IMG_00021.jpg (queue-size=1
2022-02-15 15:49:11,336 INFO: Extracting ROOT_SIFT features for image NRGB_IMG_00027.jpg
2022-02-15 15:49:11,357 DEBUG: Computing sift with threshold 0.066
2022-02-15 15:49:11,358 DEBUG: Computing sift with threshold 0.066
2022-02-15 15:49:11,358 DEBUG: Computing sift with threshold 0.066
2022-02-15 15:49:11,362 DEBUG: Computing sift with threshold 0.066
2022-02-15 15:49:11,479 DEBUG: Found 439 points in 0.11995172500610352s
2022-02-15 15:49:11,479 DEBUG: reducing threshold
2022-02-15 15:49:11,479 DEBUG: Computing sift with threshold 0.044000000000000004
2022-02-15 15:49:11,482 DEBUG: Found 710 points in 0.12326765060424805s
2022-02-15 15:49:11,482 DEBUG: reducing threshold
2022-02-15 15:49:11,482 DEBUG: Computing sift with threshold 0.044000000000000004
2022-02-15 15:49:11,487 DEBUG: Found 1030 points in 0.12468600273132324s
2022-02-15 15:49:11,487 DEBUG: reducing threshold
2022-02-15 15:49:11,487 DEBUG: Computing sift with threshold 0.044000000000000004
2022-02-15 15:49:11,489 DEBUG: Found 1038 points in 0.13132715225219727s
2022-02-15 15:49:11,489 DEBUG: reducing threshold
2022-02-15 15:49:11,489 DEBUG: Computing sift with threshold 0.044000000000000004
2022-02-15 15:49:11,558 DEBUG: Found 952 points in 0.07865738868713379s
2022-02-15 15:49:11,558 DEBUG: reducing threshold
2022-02-15 15:49:11,558 DEBUG: Computing sift with threshold 0.029333333333333336
2022-02-15 15:49:11,562 DEBUG: Found 1053 points in 0.07892179489135742s
2022-02-15 15:49:11,562 DEBUG: reducing threshold
-------
2022-02-15 15:49:13,608 DEBUG: Computing sift with threshold 0.00015072144519439704
2022-02-15 15:49:13,634 DEBUG: Found 3116 points in 0.10328960418701172s
2022-02-15 15:49:13,634 DEBUG: done
2022-02-15 15:49:13,682 DEBUG: Found 2955 points in 0.10162568092346191s
2022-02-15 15:49:13,682 DEBUG: reducing threshold
2022-02-15 15:49:13,682 DEBUG: Computing sift with threshold 0.00010048096346293136
2022-02-15 15:49:13,691 DEBUG: Found 3135 points in 0.1046452522277832s
2022-02-15 15:49:13,691 DEBUG: done
2022-02-15 15:49:13,692 DEBUG: No segmentation for NRGB_IMG_00024.jpg, no features masked.
2022-02-15 15:49:13,706 DEBUG: Found 2814 points in 0.09860968589782715s
2022-02-15 15:49:13,707 DEBUG: reducing threshold
2022-02-15 15:49:13,707 DEBUG: Computing sift with threshold 0.00010048096346293136
2022-02-15 15:49:13,707 DEBUG: Found 2807 points in 0.10260581970214844s
2022-02-15 15:49:13,707 DEBUG: reducing threshold
2022-02-15 15:49:13,707 DEBUG: Computing sift with threshold 6.698730897528758e-05
2022-02-15 15:49:13,780 DEBUG: No segmentation for NRGB_IMG_00026.jpg, no features masked.
2022-02-15 15:49:13,784 DEBUG: Found 2955 points in 0.1018056869506836s
2022-02-15 15:49:13,784 DEBUG: reducing threshold
2022-02-15 15:49:13,784 DEBUG: Computing sift with threshold 6.698730897528758e-05
2022-02-15 15:49:13,804 DEBUG: Found 2814 points in 0.09717559814453125s
2022-02-15 15:49:13,804 DEBUG: reducing threshold
2022-02-15 15:49:13,804 DEBUG: Computing sift with threshold 6.698730897528758e-05
2022-02-15 15:49:13,806 DEBUG: Found 2807 points in 0.09880256652832031s
2022-02-15 15:49:13,807 DEBUG: done
2022-02-15 15:49:13,858 DEBUG: No segmentation for NRGB_IMG_00021.jpg, no features masked.
2022-02-15 15:49:13,879 DEBUG: Found 2955 points in 0.09399294853210449s
2022-02-15 15:49:13,879 DEBUG: done
2022-02-15 15:49:13,900 DEBUG: Found 2814 points in 0.09525060653686523s
2022-02-15 15:49:13,900 DEBUG: done
2022-02-15 15:49:13,914 DEBUG: No segmentation for NRGB_IMG_00020.jpg, no features masked.
2022-02-15 15:49:13,999 DEBUG: No segmentation for NRGB_IMG_00030.jpg, no features masked.
2022-02-15 15:49:14,084 DEBUG: No segmentation for NRGB_IMG_00022.jpg, no features masked.
2022-02-15 15:49:14,090 DEBUG: No segmentation for NRGB_IMG_00025.jpg, no features masked.
[INFO] running "/code/SuperBuild/install/bin/opensfm/bin/opensfm" match_features "/code/opensfm"e
2022-02-15 15:49:15,747 INFO: Altiude is negative (-121635.51828639806) : viewing directions are probably divergent. Using default altide of 1.0
2022-02-15 15:49:15,747 INFO: Altitude for orientation based matching 1.0
2022-02-15 15:49:15,758 INFO: Altiude is negative (-121635.51828639806) : viewing directions are probably divergent. Using default altide of 1.0
2022-02-15 15:49:15,759 INFO: Altitude for orientation based matching 1.0
2022-02-15 15:49:15,787 INFO: Matching 55 image pairs
2022-02-15 15:49:15,811 INFO: Computing pair matching with 16 processes
2022-02-15 15:49:16,006 DEBUG: No segmentation for NRGB_IMG_00020.jpg, no features masked.
2022-02-15 15:49:16,017 DEBUG: No segmentation for NRGB_IMG_00023.jpg, no features masked.
2022-02-15 15:49:16,018 DEBUG: No segmentation for NRGB_IMG_00025.jpg, no features masked.
2022-02-15 15:49:16,019 DEBUG: No segmentation for NRGB_IMG_00024.jpg, no features masked.
2022-02-15 15:49:16,023 DEBUG: No segmentation for NRGB_IMG_00030.jpg, no features masked.
2022-02-15 15:49:16,031 DEBUG: No segmentation for NRGB_IMG_00028.jpg, no features masked.
2022-02-15 15:49:16,073 DEBUG: No segmentation for NRGB_IMG_00029.jpg, no features masked.
2022-02-15 15:49:16,194 DEBUG: Matching NRGB_IMG_00025.jpg and NRGB_IMG_00020.jpg. Matcher: FLANN (symmetric) T-desc: 0.358 Matches: FAILED
2022-02-15 15:49:16,244 DEBUG: No segmentation for NRGB_IMG_00027.jpg, no features masked.
2022-02-15 15:49:16,250 DEBUG: Matching NRGB_IMG_00024.jpg and NRGB_IMG_00023.jpg. Matcher: FLANN (symmetric) T-desc: 0.397 T-robust: 0.017 T-total: 0.415 Matches: 446 Robust: 437 Success: True
2022-02-15 15:49:16,254 DEBUG: Matching NRGB_IMG_00030.jpg and NRGB_IMG_00024.jpg. Matcher: FLANN (symmetric) T-desc: 0.411 Matches: FAILED
2022-02-15 15:49:16,267 DEBUG: Matching NRGB_IMG_00025.jpg and NRGB_IMG_00028.jpg. Matcher: FLANN (symmetric) T-desc: 0.424 T-robust: 0.003 T-total: 0.428 Matches: 49 Robust: 41 Success: True
2022-02-15 15:49:16,274 DEBUG: Matching NRGB_IMG_00025.jpg and NRGB_IMG_00023.jpg. Matcher: FLANN (symmetric) T-desc: 0.405 T-robust: 0.010 T-total: 0.426 Matches: 232 Robust: 224 Success: True
2022-02-15 15:49:16,278 DEBUG: Matching NRGB_IMG_00029.jpg and NRGB_IMG_00023.jpg. Matcher: FLANN (symmetric) T-desc: 0.446 Matches: FAILED
2022-02-15 15:49:16,280 DEBUG: No segmentation for NRGB_IMG_00021.jpg, no features masked.
2022-02-15 15:49:16,276 DEBUG: No segmentation for NRGB_IMG_00026.jpg, no features masked.
2022-02-15 15:49:16,282 DEBUG: No segmentation for NRGB_IMG_00022.jpg, no features masked.
2022-02-15 15:49:16,347 DEBUG: Matching NRGB_IMG_00020.jpg and NRGB_IMG_00023.jpg. Matcher: FLANN (symmetric) T-desc: 0.492 T-robust: 0.025 T-total: 0.523 Matches: 166 Robust: 159 Success: True
2022-02-15 15:49:16,381 DEBUG: Matching NRGB_IMG_00030.jpg and NRGB_IMG_00027.jpg. Matcher: FLANN (symmetric) T-desc: 0.540 T-robust: 0.001 T-total: 0.542 Matches: 56 Robust: 48 Success: True
2022-02-15 15:49:16,397 DEBUG: Matching NRGB_IMG_00028.jpg and NRGB_IMG_00022.jpg. Matcher: FLANN (symmetric) T-desc: 0.552 Matches: FAILED
2022-02-15 15:49:16,403 DEBUG: Matching NRGB_IMG_00024.jpg and NRGB_IMG_00029.jpg. Matcher: FLANN (symmetric) T-desc: 0.568 Matches: FAILED
2022-02-15 15:49:16,408 DEBUG: Matching NRGB_IMG_00023.jpg and NRGB_IMG_00027.jpg. Matcher: FLANN (symmetric) T-desc: 0.132 T-robust: 0.006 T-total: 0.140 Matches: 31 Robust: 25 Success: True
2022-02-15 15:49:16,414 DEBUG: Matching NRGB_IMG_00023.jpg and NRGB_IMG_00021.jpg. Matcher: FLANN (symmetric) T-desc: 0.572 T-robust: 0.007 T-total: 0.580 Matches: 335 Robust: 330 Success: True
2022-02-15 15:49:16,424 DEBUG: Matching NRGB_IMG_00028.jpg and NRGB_IMG_00026.jpg. Matcher: FLANN (symmetric) T-desc: 0.579 T-robust: 0.003 T-total: 0.583 Matches: 162 Robust: 143 Success: True
2022-02-15 15:49:16,425 DEBUG: Matching NRGB_IMG_00023.jpg and NRGB_IMG_00026.jpg. Matcher: FLANN (symmetric) T-desc: 0.575 T-robust: 0.005 T-total: 0.582 Matches: 95 Robust: 83 Success: True
2022-02-15 15:49:16,434 DEBUG: Matching NRGB_IMG_00024.jpg and NRGB_IMG_00021.jpg. Matcher: FLANN (symmetric) T-desc: 0.085 T-robust: 0.001 T-total: 0.086 Matches: 122 Robust: 112 Success: True
2022-02-15 15:49:16,437 DEBUG: Matching NRGB_IMG_00025.jpg and NRGB_IMG_00029.jpg. Matcher: FLANN (symmetric) T-desc: 0.592 Matches: FAILED
2022-02-15 15:49:16,458 DEBUG: Matching NRGB_IMG_00029.jpg and NRGB_IMG_00022.jpg. Matcher: FLANN (symmetric) T-desc: 0.077 Matches: FAILED
2022-02-15 15:49:16,462 DEBUG: Matching NRGB_IMG_00023.jpg and NRGB_IMG_00022.jpg. Matcher: FLANN (symmetric) T-desc: 0.624 T-robust: 0.004 T-total: 0.629 Matches: 522 Robust: 513 Success: True
2022-02-15 15:49:16,477 DEBUG: Matching NRGB_IMG_00024.jpg and NRGB_IMG_00026.jpg. Matcher: FLANN (symmetric) T-desc: 0.606 T-robust: 0.023 T-total: 0.630 Matches: 174 Robust: 170 Success: True
2022-02-15 15:49:16,503 DEBUG: Matching NRGB_IMG_00025.jpg and NRGB_IMG_00026.jpg. Matcher: FLANN (symmetric) T-desc: 0.093 T-robust: 0.002 T-total: 0.095 Matches: 288 Robust: 270 Success: True
2022-02-15 15:49:16,504 DEBUG: Matching NRGB_IMG_00029.jpg and NRGB_IMG_00021.jpg. Matcher: FLANN (symmetric) T-desc: 0.105 Matches: FAILED
2022-02-15 15:49:16,510 DEBUG: Matching NRGB_IMG_00021.jpg and NRGB_IMG_00028.jpg. Matcher: FLANN (symmetric) T-desc: 0.107 Matches: FAILED
2022-02-15 15:49:16,512 DEBUG: Matching NRGB_IMG_00030.jpg and NRGB_IMG_00028.jpg. Matcher: FLANN (symmetric) T-desc: 0.081 T-robust: 0.004 T-total: 0.087 Matches: 213 Robust: 200 Success: True
2022-02-15 15:49:16,514 DEBUG: Matching NRGB_IMG_00020.jpg and NRGB_IMG_00021.jpg. Matcher: FLANN (symmetric) T-desc: 0.307 T-robust: 0.004 T-total: 0.313 Matches: 276 Robust: 264 Success: True
2022-02-15 15:49:16,517 DEBUG: Matching NRGB_IMG_00025.jpg and NRGB_IMG_00022.jpg. Matcher: FLANN (symmetric) T-desc: 0.090 T-robust: 0.001 T-total: 0.091 Matches: 98 Robust: 94 Success: True
2022-02-15 15:49:16,518 DEBUG: Matching NRGB_IMG_00025.jpg and NRGB_IMG_00021.jpg. Matcher: FLANN (symmetric) T-desc: 0.083 T-robust: 0.002 T-total: 0.085 Matches: 25 Robust: 21 Success: True
2022-02-15 15:49:16,527 DEBUG: Matching NRGB_IMG_00030.jpg and NRGB_IMG_00029.jpg. Matcher: FLANN (symmetric) T-desc: 0.087 T-robust: 0.002 T-total: 0.090 Matches: 547 Robust: 537 Success: True
2022-02-15 15:49:16,529 DEBUG: Matching NRGB_IMG_00020.jpg and NRGB_IMG_00026.jpg. Matcher: FLANN (symmetric) T-desc: 0.273 Matches: FAILED
2022-02-15 15:49:16,530 DEBUG: Matching NRGB_IMG_00030.jpg and NRGB_IMG_00020.jpg. Matcher: FLANN (symmetric) T-desc: 0.114 Matches: FAILED
2022-02-15 15:49:16,541 DEBUG: Matching NRGB_IMG_00020.jpg and NRGB_IMG_00022.jpg. Matcher: FLANN (symmetric) T-desc: 0.261 T-robust: 0.001 T-total: 0.262 Matches: 211 Robust: 203 Success: True
2022-02-15 15:49:16,543 DEBUG: Matching NRGB_IMG_00030.jpg and NRGB_IMG_00023.jpg. Matcher: FLANN (symmetric) T-desc: 0.081 Matches: FAILED
2022-02-15 15:49:16,547 DEBUG: Matching NRGB_IMG_00020.jpg and NRGB_IMG_00027.jpg. Matcher: FLANN (symmetric) T-desc: 0.088 Matches: FAILED
2022-02-15 15:49:16,564 DEBUG: Matching NRGB_IMG_00029.jpg and NRGB_IMG_00026.jpg. Matcher: FLANN (symmetric) T-desc: 0.312 T-robust: 0.001 T-total: 0.313 Matches: 79 Robust: 69 Success: True
2022-02-15 15:49:16,573 DEBUG: Matching NRGB_IMG_00024.jpg and NRGB_IMG_00022.jpg. Matcher: FLANN (symmetric) T-desc: 0.295 T-robust: 0.001 T-total: 0.296 Matches: 246 Robust: 232 Success: True
2022-02-15 15:49:16,577 DEBUG: Matching NRGB_IMG_00027.jpg and NRGB_IMG_00021.jpg. Matcher: FLANN (symmetric) T-desc: 0.074 Matches: FAILED
2022-02-15 15:49:16,581 DEBUG: Matching NRGB_IMG_00023.jpg and NRGB_IMG_00028.jpg. Matcher: FLANN (symmetric) T-desc: 0.104 Matches: FAILED
2022-02-15 15:49:16,584 DEBUG: Matching NRGB_IMG_00024.jpg and NRGB_IMG_00027.jpg. Matcher: FLANN (symmetric) T-desc: 0.079 T-robust: 0.001 T-total: 0.080 Matches: 94 Robust: 82 Success: True
2022-02-15 15:49:16,586 DEBUG: Matching NRGB_IMG_00030.jpg and NRGB_IMG_00025.jpg. Matcher: FLANN (symmetric) T-desc: 0.068 Matches: FAILED
2022-02-15 15:49:16,592 DEBUG: Matching NRGB_IMG_00027.jpg and NRGB_IMG_00028.jpg. Matcher: FLANN (symmetric) T-desc: 0.071 T-robust: 0.002 T-total: 0.074 Matches: 344 Robust: 335 Success: True
2022-02-15 15:49:16,596 DEBUG: Matching NRGB_IMG_00027.jpg and NRGB_IMG_00022.jpg. Matcher: FLANN (symmetric) T-desc: 0.082 Matches: FAILED
2022-02-15 15:49:16,599 DEBUG: Matching NRGB_IMG_00021.jpg and NRGB_IMG_00026.jpg. Matcher: FLANN (symmetric) T-desc: 0.071 Matches: FAILED
2022-02-15 15:49:16,604 DEBUG: Matching NRGB_IMG_00027.jpg and NRGB_IMG_00026.jpg. Matcher: FLANN (symmetric) T-desc: 0.091 T-robust: 0.002 T-total: 0.094 Matches: 303 Robust: 283 Success: True
2022-02-15 15:49:16,609 DEBUG: Matching NRGB_IMG_00022.jpg and NRGB_IMG_00026.jpg. Matcher: FLANN (symmetric) T-desc: 0.074 T-robust: 0.006 T-total: 0.080 Matches: 41 Robust: 26 Success: True
2022-02-15 15:49:16,613 DEBUG: Matching NRGB_IMG_00029.jpg and NRGB_IMG_00027.jpg. Matcher: FLANN (symmetric) T-desc: 0.100 T-robust: 0.001 T-total: 0.101 Matches: 181 Robust: 170 Success: True
2022-02-15 15:49:16,629 DEBUG: Matching NRGB_IMG_00021.jpg and NRGB_IMG_00022.jpg. Matcher: FLANN (symmetric) T-desc: 0.096 T-robust: 0.003 T-total: 0.099 Matches: 509 Robust: 494 Success: True
2022-02-15 15:49:16,630 DEBUG: Matching NRGB_IMG_00030.jpg and NRGB_IMG_00022.jpg. Matcher: FLANN (symmetric) T-desc: 0.083 Matches: FAILED
2022-02-15 15:49:16,634 DEBUG: Matching NRGB_IMG_00025.jpg and NRGB_IMG_00027.jpg. Matcher: FLANN (symmetric) T-desc: 0.090 T-robust: 0.001 T-total: 0.091 Matches: 139 Robust: 129 Success: True
2022-02-15 15:49:16,640 DEBUG: Matching NRGB_IMG_00025.jpg and NRGB_IMG_00024.jpg. Matcher: FLANN (symmetric) T-desc: 0.096 T-robust: 0.002 T-total: 0.098 Matches: 412 Robust: 392 Success: True
2022-02-15 15:49:16,641 DEBUG: Matching NRGB_IMG_00030.jpg and NRGB_IMG_00021.jpg. Matcher: FLANN (symmetric) T-desc: 0.076 Matches: FAILED
2022-02-15 15:49:16,648 DEBUG: Matching NRGB_IMG_00020.jpg and NRGB_IMG_00028.jpg. Matcher: FLANN (symmetric) T-desc: 0.071 Matches: FAILED
2022-02-15 15:49:16,654 DEBUG: Matching NRGB_IMG_00030.jpg and NRGB_IMG_00026.jpg. Matcher: FLANN (symmetric) T-desc: 0.076 T-robust: 0.003 T-total: 0.080 Matches: 22 Robust: 15 Success: False
2022-02-15 15:49:16,655 DEBUG: Matching NRGB_IMG_00024.jpg and NRGB_IMG_00020.jpg. Matcher: FLANN (symmetric) T-desc: 0.070 T-robust: 0.001 T-total: 0.071 Matches: 29 Robust: 25 Success: True
2022-02-15 15:49:16,659 DEBUG: Matching NRGB_IMG_00029.jpg and NRGB_IMG_00020.jpg. Matcher: FLANN (symmetric) T-desc: 0.073 Matches: FAILED
2022-02-15 15:49:16,667 DEBUG: Matching NRGB_IMG_00024.jpg and NRGB_IMG_00028.jpg. Matcher: FLANN (symmetric) T-desc: 0.066 T-robust: 0.008 T-total: 0.074 Matches: 22 Robust: 13 Success: False
2022-02-15 15:49:16,668 DEBUG: Matching NRGB_IMG_00029.jpg and NRGB_IMG_00028.jpg. Matcher: FLANN (symmetric) T-desc: 0.084 T-robust: 0.002 T-total: 0.087 Matches: 468 Robust: 426 Success: True
2022-02-15 15:49:16,671 INFO: Matched 55 pairs (perspective-perspective: 55) in 0.8840135809732601 seconds (0.016072995290795172 seconds/pair).
[INFO] running "/code/SuperBuild/install/bin/opensfm/bin/opensfm" create_tracks "/code/opensfm"e
2022-02-15 15:49:18,080 INFO: reading features
2022-02-15 15:49:18,252 DEBUG: Merging features onto tracks
2022-02-15 15:49:18,319 DEBUG: Good tracks: 2928
[INFO] running "/code/SuperBuild/install/bin/opensfm/bin/opensfm" reconstruct "/code/opensfm"e
2022-02-15 15:49:19,858 INFO: Starting incremental reconstruction
2022-02-15 15:49:19,927 INFO: Starting reconstruction with NRGB_IMG_00023.jpg and NRGB_IMG_00024.jpg
2022-02-15 15:49:19,969 INFO: Two-view 5-points reconstruction inliers (transposed=False): 441 / 443
2022-02-15 15:49:20,060 INFO: Triangulated: 441
2022-02-15 15:49:20,398 DEBUG: Ceres Solver Report: Iterations: 8, Initial cost: 4.897498e+00, Final cost: 1.612063e+00, Termination: CONVERGENCE
2022-02-15 15:49:20,408 INFO: Removed outliers: 0
2022-02-15 15:49:20,420 INFO: -------------------------------------------------------
2022-02-15 15:49:20,432 INFO: NRGB_IMG_00022.jpg resection inliers: 199 / 199
2022-02-15 15:49:20,436 INFO: Adding NRGB_IMG_00022.jpg to the reconstruction
2022-02-15 15:49:20,487 WARNING: Shots and/or GCPs are aligned on a single-line. Using vertical prior
2022-02-15 15:49:20,658 DEBUG: Ceres Solver Report: Iterations: 6, Initial cost: 1.976905e+01, Final cost: 4.113915e+00, Termination: CONVERGENCE
2022-02-15 15:49:20,676 INFO: Removed outliers: 7
2022-02-15 15:49:20,678 INFO: -------------------------------------------------------
2022-02-15 15:49:20,689 INFO: NRGB_IMG_00021.jpg resection inliers: 263 / 294
2022-02-15 15:49:20,694 INFO: Adding NRGB_IMG_00021.jpg to the reconstruction
2022-02-15 15:49:20,731 INFO: Re-triangulating
2022-02-15 15:49:20,732 INFO: Shots and/or GCPs are well-conditioned. Using naive 3D-3D alignment.
2022-02-15 15:49:24,158 DEBUG: Ceres Solver Report: Iterations: 101, Initial cost: 3.353798e+01, Final cost: 5.542570e+00, Termination: NO_CONVERGENCE
2022-02-15 15:49:28,610 DEBUG: Ceres Solver Report: Iterations: 83, Initial cost: 4.097647e+01, Final cost: 6.563225e+00, Termination: CONVERGENCE
2022-02-15 15:49:28,633 INFO: Removed outliers: 13
2022-02-15 15:49:28,635 INFO: -------------------------------------------------------
2022-02-15 15:49:28,642 INFO: NRGB_IMG_00020.jpg resection inliers: 215 / 217
2022-02-15 15:49:28,646 INFO: Adding NRGB_IMG_00020.jpg to the reconstruction
2022-02-15 15:49:28,663 INFO: -------------------------------------------------------
2022-02-15 15:49:28,670 INFO: NRGB_IMG_00025.jpg resection inliers: 209 / 209
2022-02-15 15:49:28,674 INFO: Adding NRGB_IMG_00025.jpg to the reconstruction
2022-02-15 15:49:28,709 INFO: Shots and/or GCPs are well-conditioned. Using naive 3D-3D alignment.
2022-02-15 15:49:31,320 DEBUG: Ceres Solver Report: Iterations: 88, Initial cost: 2.662916e+01, Final cost: 8.397108e+00, Termination: CONVERGENCE
2022-02-15 15:49:31,349 INFO: Removed outliers: 13
2022-02-15 15:49:31,350 INFO: -------------------------------------------------------
2022-02-15 15:49:31,359 INFO: NRGB_IMG_00026.jpg resection inliers: 156 / 174
2022-02-15 15:49:31,362 INFO: Adding NRGB_IMG_00026.jpg to the reconstruction
2022-02-15 15:49:31,390 INFO: -------------------------------------------------------
2022-02-15 15:49:31,404 INFO: NRGB_IMG_00027.jpg resection inliers: 128 / 135
2022-02-15 15:49:31,407 INFO: Adding NRGB_IMG_00027.jpg to the reconstruction
2022-02-15 15:49:31,440 INFO: Shots and/or GCPs are well-conditioned. Using naive 3D-3D alignment.
2022-02-15 15:49:33,986 DEBUG: Ceres Solver Report: Iterations: 84, Initial cost: 3.832938e+01, Final cost: 1.108507e+01, Termination: CONVERGENCE
2022-02-15 15:49:34,020 INFO: Removed outliers: 6
2022-02-15 15:49:34,022 INFO: -------------------------------------------------------
2022-02-15 15:49:34,031 INFO: NRGB_IMG_00028.jpg resection inliers: 123 / 127
2022-02-15 15:49:34,033 INFO: Adding NRGB_IMG_00028.jpg to the reconstruction
2022-02-15 15:49:34,075 INFO: -------------------------------------------------------
2022-02-15 15:49:34,086 INFO: NRGB_IMG_00029.jpg resection inliers: 134 / 148
2022-02-15 15:49:34,089 INFO: Adding NRGB_IMG_00029.jpg to the reconstruction
2022-02-15 15:49:34,140 INFO: Re-triangulating
2022-02-15 15:49:34,141 INFO: Shots and/or GCPs are well-conditioned. Using naive 3D-3D alignment.
2022-02-15 15:49:35,867 DEBUG: Ceres Solver Report: Iterations: 53, Initial cost: 4.870903e+01, Final cost: 1.510097e+01, Termination: CONVERGENCE
2022-02-15 15:49:37,506 DEBUG: Ceres Solver Report: Iterations: 17, Initial cost: 7.759313e+01, Final cost: 2.473870e+01, Termination: CONVERGENCE
2022-02-15 15:49:37,560 INFO: Removed outliers: 26
2022-02-15 15:49:37,563 INFO: -------------------------------------------------------
2022-02-15 15:49:37,574 INFO: NRGB_IMG_00030.jpg resection inliers: 182 / 183
2022-02-15 15:49:37,581 INFO: Adding NRGB_IMG_00030.jpg to the reconstruction
2022-02-15 15:49:37,635 INFO: -------------------------------------------------------
2022-02-15 15:49:37,636 WARNING: Shots and/or GCPs are aligned on a single-line. Using vertical prior
2022-02-15 15:49:38,638 DEBUG: Ceres Solver Report: Iterations: 17, Initial cost: 6.027964e+01, Final cost: 3.005057e+01, Termination: CONVERGENCE
2022-02-15 15:49:38,701 INFO: Removed outliers: 10
2022-02-15 15:49:38,762 INFO: Reconstruction 0: 11 images, 2895 points
2022-02-15 15:49:38,762 INFO: 1 partial reconstructions in total.
[INFO] Export reconstruction statse
[INFO] running "/code/SuperBuild/install/bin/opensfm/bin/opensfm" compute_statistics --diagram_max_points 100000 "/code/opensfm"e
2022-02-15 15:49:45,917 DEBUG: locator: <matplotlib.colorbar._ColorbarAutoLocator object at 0x7f4d7c0f0be0>
2022-02-15 15:49:45,918 DEBUG: Using auto colorbar locator <matplotlib.colorbar._ColorbarAutoLocator object at 0x7f4d7c0f0be0> on colorbar
2022-02-15 15:49:45,918 DEBUG: Setting pcolormesh
2022-02-15 15:49:47,140 DEBUG: locator: <matplotlib.colorbar._ColorbarAutoLocator object at 0x7f4d79ef2f40>
2022-02-15 15:49:47,140 DEBUG: Using auto colorbar locator <matplotlib.colorbar._ColorbarAutoLocator object at 0x7f4d79ef2f40> on colorbar
2022-02-15 15:49:47,140 DEBUG: Setting pcolormesh
[INFO] running "/code/SuperBuild/install/bin/opensfm/bin/opensfm" export_geocoords --reconstruction --proj "+proj=utm +zone=31 +datum=WGS84 +units=m +no_defs +type=crs" --offset-x 444769.0 --offset-y 5319294.0 "/code/opensfm"e
[INFO] Updating /code/opensfm/config.yamle
[INFO] undistorted_image_max_size: 4000e
[WARNING] Unreliable UUID/capture time detected (no primary band match), will use filenames insteade
Traceback (most recent call last):
File "/code/opendm/multispectral.py", line 231, in compute_band_maps
raise Exception("Unreliable UUID/capture time detected (no primary band match)")
Exception: Unreliable UUID/capture time detected (no primary band match)
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/code/run.py", line 59, in <module>
retcode = app.execute()
File "/code/stages/odm_app.py", line 130, in execute
raise e
File "/code/stages/odm_app.py", line 94, in execute
self.first_stage.run()
File "/code/opendm/types.py", line 346, in run
self.next_stage.run(outputs)
File "/code/opendm/types.py", line 346, in run
self.next_stage.run(outputs)
File "/code/opendm/types.py", line 346, in run
self.next_stage.run(outputs)
File "/code/opendm/types.py", line 327, in run
self.process(self.args, outputs)
File "/code/stages/run_opensfm.py", line 164, in process
s2p, p2s = multispectral.compute_band_maps(reconstruction.multi_camera, primary_band_name)
File "/code/opendm/multispectral.py", line 267, in compute_band_maps
s2p[p.filename] = filename_map[filename_without_band]
KeyError: 'NDRE_IMG.jpg'
Do I have to add a specific option for multispectral images ? Maybe I have to rename my files in a specific wayā¦ Is there any tutorial for multispectral images ?
Thanks
