OpenDroneMap / ODM

A command line toolkit to generate maps, point clouds, 3D models and DEMs from drone, balloon or kite images. 📷
https://opendronemap.org
GNU Affero General Public License v3.0
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More resiliant GPU feature detection #1431

Closed pierotofy closed 2 years ago

pierotofy commented 2 years ago

Should close #1425

@Saijin-Naib could you please apply this patch to your native install of ODM where the GPU process was crashing and report back if the program successfully falls back to CPU in those cases? :pray:

The console should read: GPU SIFT extraction failed, maybe the graphics card is not supported? Attempting fallback to CPU



Saijin-Naib commented 2 years ago

No change in behavior:

[INFO]    auto_boundary: True
[INFO]    boundary: {}
[INFO]    build_overviews: False
[INFO]    camera_lens: auto
[INFO]    cameras: {}
[INFO]    cog: True
[INFO]    copy_to: None
[INFO]    crop: 3
[INFO]    debug: False
[INFO]    dem_decimation: 1
[INFO]    dem_euclidean_map: False
[INFO]    dem_gapfill_steps: 3
[INFO]    dem_resolution: 5
[INFO]    depthmap_resolution: 640
[INFO]    dsm: True
[INFO]    dtm: False
[INFO]    end_with: odm_postprocess
[INFO]    fast_orthophoto: False
[INFO]    feature_quality: high
[INFO]    feature_type: sift
[INFO]    force_gps: False
[INFO]    gcp: None
[INFO]    geo: None
[INFO]    gps_accuracy: 10
[INFO]    ignore_gsd: False
[INFO]    matcher_neighbors: 8
[INFO]    matcher_type: flann
[INFO]    max_concurrency: 8
[INFO]    merge: all
[INFO]    mesh_octree_depth: 11
[INFO]    mesh_size: 200000
[INFO]    min_num_features: 10000
[INFO]    name: 3e5b3cf3-01b4-471e-af3a-3d97dc2df74b
[INFO]    optimize_disk_space: False
[INFO]    orthophoto_compression: DEFLATE
[INFO]    orthophoto_cutline: False
[INFO]    orthophoto_kmz: False
[INFO]    orthophoto_no_tiled: False
[INFO]    orthophoto_png: False
[INFO]    orthophoto_resolution: 5
[INFO]    pc_classify: False
[INFO]    pc_csv: False
[INFO]    pc_ept: True
[INFO]    pc_filter: 2.5
[INFO]    pc_geometric: False
[INFO]    pc_las: False
[INFO]    pc_quality: medium
[INFO]    pc_rectify: False
[INFO]    pc_sample: 0
[INFO]    pc_tile: False
[INFO]    primary_band: auto
[INFO]    project_path: C:\WebODM\resources\app\apps\NodeODM\data
[INFO]    radiometric_calibration: none
[INFO]    rerun: None
[INFO]    rerun_all: False
[INFO]    rerun_from: None
[INFO]    resize_to: 2048
[INFO]    sfm_algorithm: incremental
[INFO]    skip_3dmodel: False
[INFO]    skip_band_alignment: False
[INFO]    skip_orthophoto: False
[INFO]    skip_report: False
[INFO]    sm_cluster: None
[INFO]    smrf_scalar: 1.25
[INFO]    smrf_slope: 0.15
[INFO]    smrf_threshold: 0.5
[INFO]    smrf_window: 18.0
[INFO]    split: 999999
[INFO]    split_image_groups: None
[INFO]    split_overlap: 150
[INFO]    texturing_data_term: gmi
[INFO]    texturing_keep_unseen_faces: False
[INFO]    texturing_outlier_removal_type: gauss_clamping
[INFO]    texturing_skip_global_seam_leveling: False
[INFO]    texturing_skip_local_seam_leveling: False
[INFO]    texturing_tone_mapping: none
[INFO]    tiles: False
[INFO]    time: False
[INFO]    use_3dmesh: False
[INFO]    use_exif: False
[INFO]    use_fixed_camera_params: False
[INFO]    use_hybrid_bundle_adjustment: False
[INFO]    verbose: False
[INFO]    ==============
[INFO]    Running dataset stage
[INFO]    Loading dataset from: C:\WebODM\resources\app\apps\NodeODM\data\3e5b3cf3-01b4-471e-af3a-3d97dc2df74b\images
[INFO]    Loading 18 images
[INFO]    Wrote images database: C:\WebODM\resources\app\apps\NodeODM\data\3e5b3cf3-01b4-471e-af3a-3d97dc2df74b\images.json
[INFO]    Found 18 usable images
[INFO]    Parsing SRS header: WGS84 UTM 15N
[INFO]    Finished dataset stage
[INFO]    Running split stage
[INFO]    Normal dataset, will process all at once.
[INFO]    Finished split stage
[INFO]    Running merge stage
[INFO]    Normal dataset, nothing to merge.
[INFO]    Finished merge stage
[INFO]    Running opensfm stage
[INFO]    Maximum photo dimensions: 4000px
[INFO]    Photo dimensions for feature extraction: 2000px
[INFO]    CUDA drivers detected
[INFO]    Using GPU for extracting SIFT features
[INFO]    Altitude data detected, enabling it for GPS alignment
[INFO]    ['use_exif_size: no', 'flann_algorithm: KDTREE', 'feature_process_size: 2000', 'feature_min_frames: 10000', 'processes: 8', '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', 'bundle_compensate_gps_bias: yes', 'matcher_type: FLANN', 'feature_type: SIFT_GPU', 'use_altitude_tag: yes', 'align_method: auto', 'local_bundle_radius: 0']
d:\a\odm\odm\superbuild\build\pypopsift\_deps\popsift-src\src\popsift\gauss_filter.cu:245
cudaMemcpyToSymbol failed for Gauss kernel initialization: invalid device symbol

Non-zero chance I didn't patch properly, however. I also am noticing my local line numbers/offsets aren't the same as what you have here in the patch, despite being on v1.9.12 B55.

pierotofy commented 2 years ago

Ok thanks for trying; when it crashes do you get a windows crash report dialog by any chance? Also, you patched both osfm.py and system.py?

It's strange because it seems that the program just stops, instead of ODM catching the exit code failure and triggering the fallback.

Saijin-Naib commented 2 years ago

Yes, both are patched, I found the resultant code lines and modified accordingly so it should be the same, but line numbers were not so I'm not sure if my verison is too back-leveled compared to what you're working on upstream?

No, no error dialog. Absolutely no functional change in behavior from before that I can tell.

Do you want/need remote access?

pierotofy commented 2 years ago

Do you want/need remote access?

Yes let's coordinate that (send me via e-mail a Chrome Remote session?) :pray:

pierotofy commented 2 years ago

Ok I've made some further changes; could you try to apply these to your local install and see if it works? We now check the CUDA compute capability before invoking pypopsift. :pray:

Saijin-Naib commented 2 years ago

Works in that it successfully fails-over to CPU processing gracefully for both stages, but still confused as to why my CUDA v11.4 compatible driver/GPU (v472.98/GTX 650 OC) can't do the thing 😭

[INFO]    Initializing ODM 2.8.0 - Wed Mar 09 15:29:02  2022
[INFO]    ==============
[INFO]    auto_boundary: True
[INFO]    boundary: {}
[INFO]    build_overviews: False
[INFO]    camera_lens: auto
[INFO]    cameras: {}
[INFO]    cog: True
[INFO]    copy_to: None
[INFO]    crop: 3
[INFO]    debug: False
[INFO]    dem_decimation: 1
[INFO]    dem_euclidean_map: False
[INFO]    dem_gapfill_steps: 3
[INFO]    dem_resolution: 5
[INFO]    depthmap_resolution: 640
[INFO]    dsm: True
[INFO]    dtm: False
[INFO]    end_with: odm_postprocess
[INFO]    fast_orthophoto: False
[INFO]    feature_quality: high
[INFO]    feature_type: sift
[INFO]    force_gps: False
[INFO]    gcp: None
[INFO]    geo: None
[INFO]    gps_accuracy: 10
[INFO]    ignore_gsd: False
[INFO]    matcher_neighbors: 8
[INFO]    matcher_type: flann
[INFO]    max_concurrency: 8
[INFO]    merge: all
[INFO]    mesh_octree_depth: 11
[INFO]    mesh_size: 200000
[INFO]    min_num_features: 10000
[INFO]    name: 872c7f16-0fd0-40ad-b378-5bb6889bef8e
[INFO]    optimize_disk_space: False
[INFO]    orthophoto_compression: DEFLATE
[INFO]    orthophoto_cutline: False
[INFO]    orthophoto_kmz: False
[INFO]    orthophoto_no_tiled: False
[INFO]    orthophoto_png: False
[INFO]    orthophoto_resolution: 5
[INFO]    pc_classify: False
[INFO]    pc_csv: False
[INFO]    pc_ept: True
[INFO]    pc_filter: 2.5
[INFO]    pc_geometric: False
[INFO]    pc_las: False
[INFO]    pc_quality: medium
[INFO]    pc_rectify: False
[INFO]    pc_sample: 0
[INFO]    pc_tile: False
[INFO]    primary_band: auto
[INFO]    project_path: C:\WebODM\resources\app\apps\NodeODM\data
[INFO]    radiometric_calibration: none
[INFO]    rerun: None
[INFO]    rerun_all: False
[INFO]    rerun_from: ['dataset', 'split', 'merge', 'opensfm', 'openmvs', 'odm_filterpoints', 'odm_meshing', 'mvs_texturing', 'odm_georeferencing', 'odm_dem', 'odm_orthophoto', 'odm_report', 'odm_postprocess']
[INFO]    resize_to: 2048
[INFO]    sfm_algorithm: incremental
[INFO]    skip_3dmodel: False
[INFO]    skip_band_alignment: False
[INFO]    skip_orthophoto: False
[INFO]    skip_report: False
[INFO]    sm_cluster: None
[INFO]    smrf_scalar: 1.25
[INFO]    smrf_slope: 0.15
[INFO]    smrf_threshold: 0.5
[INFO]    smrf_window: 18.0
[INFO]    split: 999999
[INFO]    split_image_groups: None
[INFO]    split_overlap: 150
[INFO]    texturing_data_term: gmi
[INFO]    texturing_keep_unseen_faces: False
[INFO]    texturing_outlier_removal_type: gauss_clamping
[INFO]    texturing_skip_global_seam_leveling: False
[INFO]    texturing_skip_local_seam_leveling: False
[INFO]    texturing_tone_mapping: none
[INFO]    tiles: False
[INFO]    time: False
[INFO]    use_3dmesh: False
[INFO]    use_exif: False
[INFO]    use_fixed_camera_params: False
[INFO]    use_hybrid_bundle_adjustment: False
[INFO]    verbose: False
[INFO]    ==============
[INFO]    Running dataset stage
[INFO]    Loading dataset from: C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\images
[INFO]    Loading 18 images
[INFO]    Wrote images database: C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\images.json
[INFO]    Found 18 usable images
[INFO]    Parsing SRS header: WGS84 UTM 15N
[INFO]    Finished dataset stage
[INFO]    Running split stage
[INFO]    Normal dataset, will process all at once.
[INFO]    Finished split stage
[INFO]    Running merge stage
[INFO]    Normal dataset, nothing to merge.
[INFO]    Finished merge stage
[INFO]    Running opensfm stage
[INFO]    Maximum photo dimensions: 4000px
[INFO]    Photo dimensions for feature extraction: 2000px
[INFO]    CUDA drivers detected
[WARNING] Cannot use GPU for feature extraction: Cannot initialize CUDA
[INFO]    Altitude data detected, enabling it for GPS alignment
[INFO]    ['use_exif_size: no', 'flann_algorithm: KDTREE', 'feature_process_size: 2000', 'feature_min_frames: 10000', 'processes: 8', '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', 'bundle_compensate_gps_bias: yes', 'matcher_type: FLANN', 'feature_type: SIFT', 'use_altitude_tag: yes', 'align_method: auto', 'local_bundle_radius: 0']
[INFO]    Wrote reference_lla.json
[INFO]    running "C:\WebODM\resources\app\apps\ODM\SuperBuild\install\bin\opensfm\bin\opensfm" detect_features "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\opensfm"
2022-03-09 15:29:04,499 INFO: Expecting to process 200 images.
2022-03-09 15:29:04,508 INFO: Reading data for image DJI_0018.JPG (queue-size=0
2022-03-09 15:29:04,508 INFO: Reading data for image DJI_0023.JPG (queue-size=0
2022-03-09 15:29:04,508 INFO: Reading data for image DJI_0028.JPG (queue-size=0
2022-03-09 15:29:04,508 INFO: Reading data for image DJI_0033.JPG (queue-size=0
2022-03-09 15:29:04,733 INFO: Reading data for image DJI_0029.JPG (queue-size=1
2022-03-09 15:29:04,734 INFO: Extracting ROOT_SIFT features for image DJI_0028.JPG
2022-03-09 15:29:04,744 DEBUG: Computing sift with threshold 0.066
2022-03-09 15:29:04,749 INFO: Reading data for image DJI_0019.JPG (queue-size=1
2022-03-09 15:29:04,750 INFO: Extracting ROOT_SIFT features for image DJI_0018.JPG
2022-03-09 15:29:04,760 INFO: Reading data for image DJI_0024.JPG (queue-size=1
2022-03-09 15:29:04,761 INFO: Extracting ROOT_SIFT features for image DJI_0023.JPG
2022-03-09 15:29:04,764 DEBUG: Computing sift with threshold 0.066
2022-03-09 15:29:04,766 INFO: Reading data for image DJI_0034.JPG (queue-size=1
2022-03-09 15:29:04,766 INFO: Extracting ROOT_SIFT features for image DJI_0033.JPG
2022-03-09 15:29:04,776 DEBUG: Computing sift with threshold 0.066
2022-03-09 15:29:04,779 DEBUG: Computing sift with threshold 0.066
2022-03-09 15:29:05,021 INFO: Reading data for image DJI_0030.JPG (queue-size=1
2022-03-09 15:29:05,064 INFO: Reading data for image DJI_0025.JPG (queue-size=2
2022-03-09 15:29:05,083 INFO: Reading data for image DJI_0020.JPG (queue-size=3
2022-03-09 15:29:05,098 INFO: Reading data for image DJI_0035.JPG (queue-size=4
2022-03-09 15:29:05,398 INFO: Reading data for image DJI_0026.JPG (queue-size=5
2022-03-09 15:29:05,456 INFO: Reading data for image DJI_0021.JPG (queue-size=6
2022-03-09 15:29:05,481 INFO: Reading data for image DJI_0031.JPG (queue-size=7
2022-03-09 15:29:05,481 INFO: Extracting ROOT_SIFT features for image DJI_0029.JPG
2022-03-09 15:29:05,502 DEBUG: Computing sift with threshold 0.066
2022-03-09 15:29:05,707 INFO: Reading data for image DJI_0027.JPG (queue-size=8
2022-03-09 15:29:05,750 DEBUG: Found 12021 points in 1.0050039291381836s
2022-03-09 15:29:05,750 DEBUG: done
2022-03-09 15:29:05,789 INFO: Reading data for image DJI_0022.JPG (queue-size=9
2022-03-09 15:29:05,904 DEBUG: Found 22323 points in 1.1380057334899902s
2022-03-09 15:29:05,904 DEBUG: done
2022-03-09 15:29:05,910 INFO: Reading data for image DJI_0032.JPG (queue-size=10
2022-03-09 15:29:06,037 DEBUG: Found 15613 points in 1.2580013275146484s
2022-03-09 15:29:06,037 DEBUG: done
2022-03-09 15:29:06,056 INFO: Extracting ROOT_SIFT features for image DJI_0024.JPG
2022-03-09 15:29:06,080 DEBUG: Computing sift with threshold 0.066
2022-03-09 15:29:06,128 INFO: Extracting ROOT_SIFT features for image DJI_0019.JPG
2022-03-09 15:29:06,144 DEBUG: Computing sift with threshold 0.066
2022-03-09 15:29:06,162 DEBUG: Found 23435 points in 1.386000633239746s
2022-03-09 15:29:06,162 DEBUG: done
2022-03-09 15:29:06,371 INFO: Finished reading images
2022-03-09 15:29:06,373 INFO: Extracting ROOT_SIFT features for image DJI_0034.JPG
2022-03-09 15:29:06,405 DEBUG: Computing sift with threshold 0.066
2022-03-09 15:29:06,992 DEBUG: Found 9454 points in 1.4900026321411133s
2022-03-09 15:29:06,992 DEBUG: reducing threshold
2022-03-09 15:29:06,993 DEBUG: Computing sift with threshold 0.044000000000000004
2022-03-09 15:29:07,073 DEBUG: No segmentation for DJI_0028.JPG, no features masked.
2022-03-09 15:29:07,352 DEBUG: Found 12939 points in 1.2709977626800537s
2022-03-09 15:29:07,352 DEBUG: done
2022-03-09 15:29:07,536 INFO: Extracting ROOT_SIFT features for image DJI_0025.JPG
2022-03-09 15:29:07,552 DEBUG: Computing sift with threshold 0.066
2022-03-09 15:29:07,553 DEBUG: Found 23059 points in 1.4089984893798828s
2022-03-09 15:29:07,554 DEBUG: done
2022-03-09 15:29:07,779 DEBUG: No segmentation for DJI_0018.JPG, no features masked.
2022-03-09 15:29:07,823 DEBUG: Found 10671 points in 1.4169948101043701s
2022-03-09 15:29:07,824 DEBUG: done
2022-03-09 15:29:07,895 DEBUG: No segmentation for DJI_0033.JPG, no features masked.
2022-03-09 15:29:08,332 DEBUG: No segmentation for DJI_0023.JPG, no features masked.
2022-03-09 15:29:08,443 DEBUG: Found 15719 points in 1.4489998817443848s
2022-03-09 15:29:08,443 DEBUG: done
2022-03-09 15:29:08,576 INFO: Extracting ROOT_SIFT features for image DJI_0020.JPG
2022-03-09 15:29:08,592 DEBUG: Computing sift with threshold 0.066
2022-03-09 15:29:08,657 DEBUG: No segmentation for DJI_0024.JPG, no features masked.
2022-03-09 15:29:08,680 DEBUG: Found 11672 points in 1.1270017623901367s
2022-03-09 15:29:08,680 DEBUG: done
2022-03-09 15:29:08,697 INFO: Extracting ROOT_SIFT features for image DJI_0030.JPG
2022-03-09 15:29:08,712 DEBUG: Computing sift with threshold 0.066
2022-03-09 15:29:09,096 DEBUG: No segmentation for DJI_0034.JPG, no features masked.
2022-03-09 15:29:09,370 INFO: Extracting ROOT_SIFT features for image DJI_0035.JPG
2022-03-09 15:29:09,381 INFO: Extracting ROOT_SIFT features for image DJI_0026.JPG
2022-03-09 15:29:09,385 DEBUG: Computing sift with threshold 0.066
2022-03-09 15:29:09,397 DEBUG: Computing sift with threshold 0.066
2022-03-09 15:29:09,554 DEBUG: No segmentation for DJI_0019.JPG, no features masked.
2022-03-09 15:29:09,641 INFO: Extracting ROOT_SIFT features for image DJI_0021.JPG
2022-03-09 15:29:09,661 DEBUG: Computing sift with threshold 0.066
2022-03-09 15:29:09,929 DEBUG: Found 5747 points in 1.2169947624206543s
2022-03-09 15:29:09,929 DEBUG: reducing threshold
2022-03-09 15:29:09,929 DEBUG: Computing sift with threshold 0.044000000000000004
2022-03-09 15:29:10,049 DEBUG: No segmentation for DJI_0025.JPG, no features masked.
2022-03-09 15:29:10,175 DEBUG: No segmentation for DJI_0029.JPG, no features masked.
2022-03-09 15:29:10,309 DEBUG: Found 25897 points in 1.71600341796875s
2022-03-09 15:29:10,309 DEBUG: done
2022-03-09 15:29:10,377 INFO: Extracting ROOT_SIFT features for image DJI_0031.JPG
2022-03-09 15:29:10,392 DEBUG: Computing sift with threshold 0.066
2022-03-09 15:29:10,460 INFO: Extracting ROOT_SIFT features for image DJI_0027.JPG
2022-03-09 15:29:10,484 DEBUG: Computing sift with threshold 0.066
2022-03-09 15:29:10,529 DEBUG: Found 14335 points in 1.132002592086792s
2022-03-09 15:29:10,530 DEBUG: done
2022-03-09 15:29:10,863 DEBUG: Found 11594 points in 1.4770011901855469s
2022-03-09 15:29:10,863 DEBUG: done
2022-03-09 15:29:10,938 INFO: Extracting ROOT_SIFT features for image DJI_0022.JPG
2022-03-09 15:29:10,957 DEBUG: Computing sift with threshold 0.066
2022-03-09 15:29:11,109 DEBUG: Found 9124 points in 1.1790070533752441s
2022-03-09 15:29:11,109 DEBUG: reducing threshold
2022-03-09 15:29:11,109 DEBUG: Computing sift with threshold 0.029333333333333336
2022-03-09 15:29:11,615 DEBUG: Found 10591 points in 1.2220008373260498s
2022-03-09 15:29:11,615 DEBUG: done
2022-03-09 15:29:11,807 DEBUG: Found 26506 points in 2.1460013389587402s
2022-03-09 15:29:11,807 DEBUG: done
2022-03-09 15:29:11,811 DEBUG: Found 13959 points in 1.3270020484924316s
2022-03-09 15:29:11,811 DEBUG: done
2022-03-09 15:29:11,983 DEBUG: No segmentation for DJI_0026.JPG, no features masked.
2022-03-09 15:29:12,428 DEBUG: Found 13555 points in 1.317995548248291s
2022-03-09 15:29:12,428 DEBUG: done
2022-03-09 15:29:12,555 INFO: Extracting ROOT_SIFT features for image DJI_0032.JPG
2022-03-09 15:29:12,581 DEBUG: Computing sift with threshold 0.066
2022-03-09 15:29:12,804 DEBUG: No segmentation for DJI_0031.JPG, no features masked.
2022-03-09 15:29:12,889 DEBUG: No segmentation for DJI_0035.JPG, no features masked.
2022-03-09 15:29:13,144 DEBUG: Found 26758 points in 2.1869959831237793s
2022-03-09 15:29:13,145 DEBUG: done
2022-03-09 15:29:13,156 DEBUG: No segmentation for DJI_0020.JPG, no features masked.
2022-03-09 15:29:13,200 DEBUG: No segmentation for DJI_0027.JPG, no features masked.
2022-03-09 15:29:13,624 DEBUG: Found 18174 points in 1.0430006980895996s
2022-03-09 15:29:13,625 DEBUG: done
2022-03-09 15:29:13,632 DEBUG: No segmentation for DJI_0030.JPG, no features masked.
2022-03-09 15:29:14,077 DEBUG: No segmentation for DJI_0021.JPG, no features masked.
2022-03-09 15:29:14,739 DEBUG: No segmentation for DJI_0022.JPG, no features masked.
2022-03-09 15:29:14,802 DEBUG: No segmentation for DJI_0032.JPG, no features masked.
[INFO]    running "C:\WebODM\resources\app\apps\ODM\SuperBuild\install\bin\opensfm\bin\opensfm" match_features "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\opensfm"
2022-03-09 15:29:17,299 INFO: Altiude is negative (-1005971.9925139712) : viewing directions are probably divergent. Using default altide of 1.0
2022-03-09 15:29:17,299 INFO: Altitude for orientation based matching 1.0
2022-03-09 15:29:17,306 INFO: Altiude is negative (-1005971.9925139712) : viewing directions are probably divergent. Using default altide of 1.0
2022-03-09 15:29:17,306 INFO: Altitude for orientation based matching 1.0
2022-03-09 15:29:17,350 INFO: Matching 110 image pairs
2022-03-09 15:29:17,351 INFO: Computing pair matching with 8 processes
2022-03-09 15:29:17,484 DEBUG: No segmentation for DJI_0031.JPG, no features masked.
2022-03-09 15:29:17,493 DEBUG: No segmentation for DJI_0035.JPG, no features masked.
2022-03-09 15:29:17,495 DEBUG: No segmentation for DJI_0028.JPG, no features masked.
2022-03-09 15:29:17,509 DEBUG: No segmentation for DJI_0027.JPG, no features masked.
2022-03-09 15:29:17,528 DEBUG: No segmentation for DJI_0033.JPG, no features masked.
2022-03-09 15:29:17,584 DEBUG: No segmentation for DJI_0023.JPG, no features masked.
2022-03-09 15:29:17,601 DEBUG: No segmentation for DJI_0034.JPG, no features masked.
2022-03-09 15:29:17,644 DEBUG: No segmentation for DJI_0029.JPG, no features masked.
2022-03-09 15:29:17,700 DEBUG: No segmentation for DJI_0018.JPG, no features masked.
2022-03-09 15:29:17,771 DEBUG: No segmentation for DJI_0020.JPG, no features masked.
2022-03-09 15:29:18,217 DEBUG: Matching DJI_0035.JPG and DJI_0027.JPG.  Matcher: FLANN (symmetric) T-desc: 0.835 T-robust: 0.021 T-total: 0.857 Matches: 21 Robust: 11 Success: False
2022-03-09 15:29:18,400 DEBUG: Matching DJI_0035.JPG and DJI_0034.JPG.  Matcher: FLANN (symmetric) T-desc: 1.036 T-robust: 0.002 T-total: 1.041 Matches: 901 Robust: 879 Success: True
2022-03-09 15:29:18,406 DEBUG: Matching DJI_0031.JPG and DJI_0028.JPG.  Matcher: FLANN (symmetric) T-desc: 1.044 T-robust: 0.002 T-total: 1.046 Matches: 475 Robust: 457 Success: True
2022-03-09 15:29:18,421 DEBUG: Matching DJI_0027.JPG and DJI_0028.JPG.  Matcher: FLANN (symmetric) T-desc: 1.059 T-robust: 0.003 T-total: 1.063 Matches: 794 Robust: 774 Success: True
2022-03-09 15:29:18,488 DEBUG: No segmentation for DJI_0026.JPG, no features masked.
2022-03-09 15:29:18,498 DEBUG: No segmentation for DJI_0030.JPG, no features masked.
2022-03-09 15:29:18,583 DEBUG: No segmentation for DJI_0024.JPG, no features masked.
2022-03-09 15:29:18,724 DEBUG: Matching DJI_0033.JPG and DJI_0034.JPG.  Matcher: FLANN (symmetric) T-desc: 1.360 T-robust: 0.003 T-total: 1.366 Matches: 1254 Robust: 1230 Success: True
2022-03-09 15:29:18,759 DEBUG: Matching DJI_0028.JPG and DJI_0029.JPG.  Matcher: FLANN (symmetric) T-desc: 1.397 T-robust: 0.002 T-total: 1.399 Matches: 462 Robust: 431 Success: True
2022-03-09 15:29:19,003 DEBUG: Matching DJI_0031.JPG and DJI_0029.JPG.  Matcher: FLANN (symmetric) T-desc: 0.785 T-robust: 0.002 T-total: 0.786 Matches: 121 Robust: 94 Success: True
2022-03-09 15:29:19,122 DEBUG: No segmentation for DJI_0032.JPG, no features masked.
2022-03-09 15:29:19,210 DEBUG: Matching DJI_0027.JPG and DJI_0018.JPG.  Matcher: FLANN (symmetric) T-desc: 1.846 T-robust: 0.003 T-total: 1.850 Matches: 90 Robust: 67 Success: True
2022-03-09 15:29:19,294 DEBUG: Matching DJI_0033.JPG and DJI_0030.JPG.  Matcher: FLANN (symmetric) T-desc: 0.873 Matches: FAILED
2022-03-09 15:29:19,630 DEBUG: Matching DJI_0030.JPG and DJI_0027.JPG.  Matcher: FLANN (symmetric) T-desc: 0.901 T-robust: 0.004 T-total: 0.905 Matches: 86 Robust: 59 Success: True
2022-03-09 15:29:19,645 DEBUG: Matching DJI_0028.JPG and DJI_0020.JPG.  Matcher: FLANN (symmetric) T-desc: 1.237 T-robust: 0.001 T-total: 1.239 Matches: 144 Robust: 120 Success: True
2022-03-09 15:29:19,740 DEBUG: Matching DJI_0031.JPG and DJI_0026.JPG.  Matcher: FLANN (symmetric) T-desc: 0.443 T-robust: 0.002 T-total: 0.445 Matches: 454 Robust: 433 Success: True
2022-03-09 15:29:19,745 DEBUG: Matching DJI_0026.JPG and DJI_0024.JPG.  Matcher: FLANN (symmetric) T-desc: 1.342 T-robust: 0.003 T-total: 1.345 Matches: 109 Robust: 77 Success: True
2022-03-09 15:29:19,757 DEBUG: Matching DJI_0034.JPG and DJI_0027.JPG.  Matcher: FLANN (symmetric) T-desc: 0.544 T-robust: 0.001 T-total: 0.546 Matches: 112 Robust: 89 Success: True
2022-03-09 15:29:19,811 DEBUG: No segmentation for DJI_0022.JPG, no features masked.
2022-03-09 15:29:19,815 DEBUG: No segmentation for DJI_0021.JPG, no features masked.
2022-03-09 15:29:19,834 DEBUG: No segmentation for DJI_0025.JPG, no features masked.
2022-03-09 15:29:19,909 DEBUG: Matching DJI_0023.JPG and DJI_0020.JPG.  Matcher: FLANN (symmetric) T-desc: 2.528 T-robust: 0.022 T-total: 2.551 Matches: 32 Robust: 10 Success: False
2022-03-09 15:29:19,911 DEBUG: No segmentation for DJI_0019.JPG, no features masked.
2022-03-09 15:29:19,972 DEBUG: Matching DJI_0023.JPG and DJI_0026.JPG.  Matcher: FLANN (symmetric) T-desc: 1.191 T-robust: 0.022 T-total: 1.213 Matches: 31 Robust: 12 Success: False
2022-03-09 15:29:20,182 DEBUG: Matching DJI_0030.JPG and DJI_0032.JPG.  Matcher: FLANN (symmetric) T-desc: 1.177 T-robust: 0.001 T-total: 1.178 Matches: 74 Robust: 58 Success: True
2022-03-09 15:29:20,244 DEBUG: Matching DJI_0033.JPG and DJI_0027.JPG.  Matcher: FLANN (symmetric) T-desc: 0.501 T-robust: 0.001 T-total: 0.503 Matches: 352 Robust: 328 Success: True
2022-03-09 15:29:20,418 DEBUG: Matching DJI_0027.JPG and DJI_0026.JPG.  Matcher: FLANN (symmetric) T-desc: 0.501 T-robust: 0.004 T-total: 0.508 Matches: 1056 Robust: 1030 Success: True
2022-03-09 15:29:20,446 DEBUG: Matching DJI_0025.JPG and DJI_0034.JPG.  Matcher: FLANN (symmetric) T-desc: 0.685 T-robust: 0.002 T-total: 0.688 Matches: 902 Robust: 881 Success: True
2022-03-09 15:29:20,724 DEBUG: Matching DJI_0035.JPG and DJI_0032.JPG.  Matcher: FLANN (symmetric) T-desc: 0.518 T-robust: 0.024 T-total: 0.541 Matches: 21 Robust: 9 Success: False
2022-03-09 15:29:21,013 DEBUG: Matching DJI_0034.JPG and DJI_0030.JPG.  Matcher: FLANN (symmetric) T-desc: 0.563 T-robust: 0.031 T-total: 0.594 Matches: 29 Robust: 9 Success: False
2022-03-09 15:29:21,165 DEBUG: Matching DJI_0034.JPG and DJI_0021.JPG.  Matcher: FLANN (symmetric) T-desc: 1.518 T-robust: 0.002 T-total: 1.520 Matches: 206 Robust: 181 Success: True
2022-03-09 15:29:21,237 DEBUG: Matching DJI_0033.JPG and DJI_0032.JPG.  Matcher: FLANN (symmetric) T-desc: 0.787 T-robust: 0.003 T-total: 0.791 Matches: 920 Robust: 895 Success: True
2022-03-09 15:29:21,394 DEBUG: Matching DJI_0032.JPG and DJI_0026.JPG.  Matcher: FLANN (symmetric) T-desc: 0.665 T-robust: 0.002 T-total: 0.669 Matches: 860 Robust: 833 Success: True
2022-03-09 15:29:21,432 DEBUG: Matching DJI_0019.JPG and DJI_0018.JPG.  Matcher: FLANN (symmetric) T-desc: 1.683 T-robust: 0.002 T-total: 1.685 Matches: 157 Robust: 130 Success: True
2022-03-09 15:29:21,596 DEBUG: Matching DJI_0028.JPG and DJI_0022.JPG.  Matcher: FLANN (symmetric) T-desc: 1.600 T-robust: 0.023 T-total: 1.623 Matches: 26 Robust: 10 Success: False
2022-03-09 15:29:21,651 DEBUG: Matching DJI_0023.JPG and DJI_0022.JPG.  Matcher: FLANN (symmetric) T-desc: 2.010 T-robust: 0.006 T-total: 2.018 Matches: 472 Robust: 433 Success: True
2022-03-09 15:29:21,701 DEBUG: Matching DJI_0028.JPG and DJI_0026.JPG.  Matcher: FLANN (symmetric) T-desc: 0.533 T-robust: 0.001 T-total: 0.535 Matches: 344 Robust: 321 Success: True
2022-03-09 15:29:21,767 DEBUG: Matching DJI_0025.JPG and DJI_0027.JPG.  Matcher: FLANN (symmetric) T-desc: 0.526 T-robust: 0.001 T-total: 0.528 Matches: 307 Robust: 281 Success: True
2022-03-09 15:29:21,805 DEBUG: Matching DJI_0033.JPG and DJI_0021.JPG.  Matcher: FLANN (symmetric) T-desc: 1.559 T-robust: 0.001 T-total: 1.561 Matches: 160 Robust: 136 Success: True
2022-03-09 15:29:21,862 DEBUG: Matching DJI_0021.JPG and DJI_0024.JPG.  Matcher: FLANN (symmetric) T-desc: 0.848 T-robust: 0.001 T-total: 0.849 Matches: 138 Robust: 115 Success: True
2022-03-09 15:29:22,102 DEBUG: Matching DJI_0032.JPG and DJI_0028.JPG.  Matcher: FLANN (symmetric) T-desc: 0.668 T-robust: 0.001 T-total: 0.669 Matches: 279 Robust: 244 Success: True
2022-03-09 15:29:22,120 DEBUG: Matching DJI_0035.JPG and DJI_0024.JPG.  Matcher: FLANN (symmetric) T-desc: 0.520 T-robust: 0.002 T-total: 0.523 Matches: 574 Robust: 553 Success: True
2022-03-09 15:29:22,167 DEBUG: Matching DJI_0029.JPG and DJI_0018.JPG.  Matcher: FLANN (symmetric) T-desc: 0.771 T-robust: 0.001 T-total: 0.773 Matches: 159 Robust: 132 Success: True
2022-03-09 15:29:22,223 DEBUG: Matching DJI_0034.JPG and DJI_0024.JPG.  Matcher: FLANN (symmetric) T-desc: 0.415 T-robust: 0.001 T-total: 0.418 Matches: 504 Robust: 471 Success: True
2022-03-09 15:29:22,262 DEBUG: Matching DJI_0025.JPG and DJI_0032.JPG.  Matcher: FLANN (symmetric) T-desc: 0.558 T-robust: 0.001 T-total: 0.561 Matches: 462 Robust: 436 Success: True
2022-03-09 15:29:22,307 DEBUG: Matching DJI_0033.JPG and DJI_0024.JPG.  Matcher: FLANN (symmetric) T-desc: 0.538 T-robust: 0.001 T-total: 0.540 Matches: 217 Robust: 188 Success: True
2022-03-09 15:29:22,372 DEBUG: Matching DJI_0027.JPG and DJI_0024.JPG.  Matcher: FLANN (symmetric) T-desc: 0.480 T-robust: 0.028 T-total: 0.508 Matches: 45 Robust: 10 Success: False
2022-03-09 15:29:22,423 DEBUG: Matching DJI_0030.JPG and DJI_0019.JPG.  Matcher: FLANN (symmetric) T-desc: 0.743 T-robust: 0.026 T-total: 0.770 Matches: 31 Robust: 13 Success: False
2022-03-09 15:29:22,625 DEBUG: Matching DJI_0025.JPG and DJI_0024.JPG.  Matcher: FLANN (symmetric) T-desc: 0.502 T-robust: 0.002 T-total: 0.505 Matches: 646 Robust: 603 Success: True
2022-03-09 15:29:22,858 DEBUG: Matching DJI_0025.JPG and DJI_0019.JPG.  Matcher: FLANN (symmetric) T-desc: 0.732 T-robust: 0.023 T-total: 0.755 Matches: 39 Robust: 13 Success: False
2022-03-09 15:29:23,093 DEBUG: Matching DJI_0031.JPG and DJI_0018.JPG.  Matcher: FLANN (symmetric) T-desc: 0.772 T-robust: 0.012 T-total: 0.785 Matches: 67 Robust: 38 Success: True
2022-03-09 15:29:23,135 DEBUG: Matching DJI_0022.JPG and DJI_0024.JPG.  Matcher: FLANN (symmetric) T-desc: 0.871 T-robust: 0.001 T-total: 0.873 Matches: 266 Robust: 246 Success: True
2022-03-09 15:29:23,210 DEBUG: Matching DJI_0023.JPG and DJI_0034.JPG.  Matcher: FLANN (symmetric) T-desc: 0.784 T-robust: 0.001 T-total: 0.786 Matches: 214 Robust: 184 Success: True
2022-03-09 15:29:23,244 DEBUG: Matching DJI_0025.JPG and DJI_0021.JPG.  Matcher: FLANN (symmetric) T-desc: 0.869 T-robust: 0.001 T-total: 0.872 Matches: 414 Robust: 377 Success: True
2022-03-09 15:29:23,289 DEBUG: Matching DJI_0023.JPG and DJI_0018.JPG.  Matcher: FLANN (symmetric) T-desc: 1.029 T-robust: 0.036 T-total: 1.066 Matches: 37 Robust: 11 Success: False
2022-03-09 15:29:23,313 DEBUG: Matching DJI_0018.JPG and DJI_0021.JPG.  Matcher: FLANN (symmetric) T-desc: 1.121 T-robust: 0.025 T-total: 1.146 Matches: 47 Robust: 10 Success: False
2022-03-09 15:29:23,563 DEBUG: Matching DJI_0031.JPG and DJI_0034.JPG.  Matcher: FLANN (symmetric) T-desc: 0.382 T-robust: 0.044 T-total: 0.427 Matches: 31 Robust: 11 Success: False
2022-03-09 15:29:23,580 DEBUG: Matching DJI_0020.JPG and DJI_0026.JPG.  Matcher: FLANN (symmetric) T-desc: 0.953 T-robust: 0.001 T-total: 0.955 Matches: 316 Robust: 299 Success: True
2022-03-09 15:29:23,912 DEBUG: Matching DJI_0034.JPG and DJI_0032.JPG.  Matcher: FLANN (symmetric) T-desc: 0.596 T-robust: 0.001 T-total: 0.598 Matches: 383 Robust: 359 Success: True
2022-03-09 15:29:23,919 DEBUG: Matching DJI_0029.JPG and DJI_0019.JPG.  Matcher: FLANN (symmetric) T-desc: 0.824 T-robust: 0.002 T-total: 0.826 Matches: 106 Robust: 78 Success: True
2022-03-09 15:29:23,960 DEBUG: Matching DJI_0028.JPG and DJI_0018.JPG.  Matcher: FLANN (symmetric) T-desc: 0.748 T-robust: 0.001 T-total: 0.750 Matches: 120 Robust: 94 Success: True
2022-03-09 15:29:23,962 DEBUG: Matching DJI_0019.JPG and DJI_0021.JPG.  Matcher: FLANN (symmetric) T-desc: 1.102 T-robust: 0.001 T-total: 1.104 Matches: 134 Robust: 107 Success: True
2022-03-09 15:29:24,011 DEBUG: Matching DJI_0025.JPG and DJI_0020.JPG.  Matcher: FLANN (symmetric) T-desc: 0.764 T-robust: 0.001 T-total: 0.766 Matches: 190 Robust: 160 Success: True
2022-03-09 15:29:24,246 DEBUG: Matching DJI_0023.JPG and DJI_0025.JPG.  Matcher: FLANN (symmetric) T-desc: 0.681 T-robust: 0.002 T-total: 0.683 Matches: 270 Robust: 248 Success: True
2022-03-09 15:29:24,360 DEBUG: Matching DJI_0023.JPG and DJI_0027.JPG.  Matcher: FLANN (symmetric) T-desc: 0.746 T-robust: 0.032 T-total: 0.778 Matches: 27 Robust: 10 Success: False
2022-03-09 15:29:24,362 DEBUG: Matching DJI_0031.JPG and DJI_0027.JPG.  Matcher: FLANN (symmetric) T-desc: 0.437 T-robust: 0.002 T-total: 0.442 Matches: 639 Robust: 620 Success: True
2022-03-09 15:29:24,443 DEBUG: Matching DJI_0020.JPG and DJI_0022.JPG.  Matcher: FLANN (symmetric) T-desc: 1.151 T-robust: 0.002 T-total: 1.154 Matches: 157 Robust: 121 Success: True
2022-03-09 15:29:24,462 DEBUG: Matching DJI_0030.JPG and DJI_0028.JPG.  Matcher: FLANN (symmetric) T-desc: 0.499 T-robust: 0.001 T-total: 0.501 Matches: 177 Robust: 153 Success: True
2022-03-09 15:29:24,563 DEBUG: Matching DJI_0030.JPG and DJI_0029.JPG.  Matcher: FLANN (symmetric) T-desc: 0.598 T-robust: 0.002 T-total: 0.601 Matches: 627 Robust: 607 Success: True
2022-03-09 15:29:24,667 DEBUG: Matching DJI_0027.JPG and DJI_0019.JPG.  Matcher: FLANN (symmetric) T-desc: 0.753 T-robust: 0.001 T-total: 0.754 Matches: 247 Robust: 223 Success: True
2022-03-09 15:29:24,912 DEBUG: Matching DJI_0031.JPG and DJI_0032.JPG.  Matcher: FLANN (symmetric) T-desc: 0.662 T-robust: 0.002 T-total: 0.666 Matches: 862 Robust: 835 Success: True
2022-03-09 15:29:24,943 DEBUG: Matching DJI_0025.JPG and DJI_0035.JPG.  Matcher: FLANN (symmetric) T-desc: 0.579 T-robust: 0.001 T-total: 0.581 Matches: 328 Robust: 297 Success: True
2022-03-09 15:29:24,975 DEBUG: Matching DJI_0026.JPG and DJI_0022.JPG.  Matcher: FLANN (symmetric) T-desc: 0.961 T-robust: 0.001 T-total: 0.963 Matches: 204 Robust: 175 Success: True
2022-03-09 15:29:25,259 DEBUG: Matching DJI_0023.JPG and DJI_0024.JPG.  Matcher: FLANN (symmetric) T-desc: 0.812 T-robust: 0.001 T-total: 0.814 Matches: 484 Robust: 449 Success: True
2022-03-09 15:29:25,280 DEBUG: Matching DJI_0035.JPG and DJI_0033.JPG.  Matcher: FLANN (symmetric) T-desc: 0.611 T-robust: 0.001 T-total: 0.613 Matches: 325 Robust: 299 Success: True
2022-03-09 15:29:25,299 DEBUG: Matching DJI_0027.JPG and DJI_0021.JPG.  Matcher: FLANN (symmetric) T-desc: 0.936 T-robust: 0.002 T-total: 0.938 Matches: 200 Robust: 167 Success: True
2022-03-09 15:29:25,442 DEBUG: Matching DJI_0035.JPG and DJI_0031.JPG.  Matcher: FLANN (symmetric) T-desc: 0.429 T-robust: 0.038 T-total: 0.467 Matches: 30 Robust: 10 Success: False
2022-03-09 15:29:25,594 DEBUG: Matching DJI_0023.JPG and DJI_0019.JPG.  Matcher: FLANN (symmetric) T-desc: 1.000 T-robust: 0.030 T-total: 1.030 Matches: 42 Robust: 10 Success: False
2022-03-09 15:29:25,608 DEBUG: Matching DJI_0030.JPG and DJI_0026.JPG.  Matcher: FLANN (symmetric) T-desc: 0.635 T-robust: 0.028 T-total: 0.663 Matches: 33 Robust: 11 Success: False
2022-03-09 15:29:25,613 DEBUG: Matching DJI_0023.JPG and DJI_0021.JPG.  Matcher: FLANN (symmetric) T-desc: 1.147 T-robust: 0.002 T-total: 1.150 Matches: 186 Robust: 138 Success: True
2022-03-09 15:29:25,695 DEBUG: Matching DJI_0028.JPG and DJI_0021.JPG.  Matcher: FLANN (symmetric) T-desc: 0.770 T-robust: 0.012 T-total: 0.783 Matches: 60 Robust: 41 Success: True
2022-03-09 15:29:25,812 DEBUG: Matching DJI_0034.JPG and DJI_0026.JPG.  Matcher: FLANN (symmetric) T-desc: 0.510 T-robust: 0.002 T-total: 0.512 Matches: 514 Robust: 490 Success: True
2022-03-09 15:29:25,958 DEBUG: Matching DJI_0032.JPG and DJI_0027.JPG.  Matcher: FLANN (symmetric) T-desc: 0.674 T-robust: 0.002 T-total: 0.677 Matches: 616 Robust: 582 Success: True
2022-03-09 15:29:25,983 DEBUG: Matching DJI_0028.JPG and DJI_0019.JPG.  Matcher: FLANN (symmetric) T-desc: 0.723 T-robust: 0.001 T-total: 0.724 Matches: 192 Robust: 167 Success: True
2022-03-09 15:29:25,991 DEBUG: Matching DJI_0035.JPG and DJI_0026.JPG.  Matcher: FLANN (symmetric) T-desc: 0.535 T-robust: 0.013 T-total: 0.548 Matches: 56 Robust: 31 Success: True
2022-03-09 15:29:26,236 DEBUG: Matching DJI_0025.JPG and DJI_0033.JPG.  Matcher: FLANN (symmetric) T-desc: 0.532 T-robust: 0.002 T-total: 0.535 Matches: 847 Robust: 814 Success: True
2022-03-09 15:29:26,243 DEBUG: Matching DJI_0033.JPG and DJI_0028.JPG.  Matcher: FLANN (symmetric) T-desc: 0.633 T-robust: 0.001 T-total: 0.634 Matches: 134 Robust: 108 Success: True
2022-03-09 15:29:26,280 DEBUG: Matching DJI_0031.JPG and DJI_0030.JPG.  Matcher: FLANN (symmetric) T-desc: 0.465 T-robust: 0.002 T-total: 0.468 Matches: 507 Robust: 491 Success: True
2022-03-09 15:29:26,332 DEBUG: Matching DJI_0035.JPG and DJI_0022.JPG.  Matcher: FLANN (symmetric) T-desc: 0.734 T-robust: 0.004 T-total: 0.738 Matches: 143 Robust: 117 Success: True
2022-03-09 15:29:26,458 DEBUG: Matching DJI_0027.JPG and DJI_0020.JPG.  Matcher: FLANN (symmetric) T-desc: 0.843 T-robust: 0.001 T-total: 0.845 Matches: 295 Robust: 273 Success: True
2022-03-09 15:29:26,562 DEBUG: Matching DJI_0033.JPG and DJI_0026.JPG.  Matcher: FLANN (symmetric) T-desc: 0.574 T-robust: 0.002 T-total: 0.578 Matches: 763 Robust: 734 Success: True
2022-03-09 15:29:26,590 DEBUG: Matching DJI_0027.JPG and DJI_0029.JPG.  Matcher: FLANN (symmetric) T-desc: 0.597 T-robust: 0.001 T-total: 0.599 Matches: 199 Robust: 160 Success: True
2022-03-09 15:29:26,735 DEBUG: Matching DJI_0033.JPG and DJI_0031.JPG.  Matcher: FLANN (symmetric) T-desc: 0.497 T-robust: 0.001 T-total: 0.499 Matches: 271 Robust: 244 Success: True
2022-03-09 15:29:27,022 DEBUG: Matching DJI_0020.JPG and DJI_0018.JPG.  Matcher: FLANN (symmetric) T-desc: 1.055 T-robust: 0.009 T-total: 1.064 Matches: 78 Robust: 46 Success: True
2022-03-09 15:29:27,147 DEBUG: Matching DJI_0021.JPG and DJI_0026.JPG.  Matcher: FLANN (symmetric) T-desc: 0.812 T-robust: 0.001 T-total: 0.814 Matches: 391 Robust: 364 Success: True
2022-03-09 15:29:27,177 DEBUG: Matching DJI_0033.JPG and DJI_0022.JPG.  Matcher: FLANN (symmetric) T-desc: 0.932 T-robust: 0.001 T-total: 0.934 Matches: 162 Robust: 131 Success: True
2022-03-09 15:29:27,187 DEBUG: Matching DJI_0034.JPG and DJI_0022.JPG.  Matcher: FLANN (symmetric) T-desc: 0.728 T-robust: 0.001 T-total: 0.729 Matches: 259 Robust: 230 Success: True
2022-03-09 15:29:27,319 DEBUG: Matching DJI_0019.JPG and DJI_0020.JPG.  Matcher: FLANN (symmetric) T-desc: 1.036 T-robust: 0.001 T-total: 1.038 Matches: 256 Robust: 213 Success: True
2022-03-09 15:29:27,471 DEBUG: Matching DJI_0032.JPG and DJI_0021.JPG.  Matcher: FLANN (symmetric) T-desc: 0.908 T-robust: 0.001 T-total: 0.909 Matches: 205 Robust: 181 Success: True
2022-03-09 15:29:27,535 DEBUG: Matching DJI_0027.JPG and DJI_0022.JPG.  Matcher: FLANN (symmetric) T-desc: 0.795 T-robust: 0.004 T-total: 0.799 Matches: 87 Robust: 57 Success: True
2022-03-09 15:29:27,632 DEBUG: Matching DJI_0025.JPG and DJI_0026.JPG.  Matcher: FLANN (symmetric) T-desc: 0.477 T-robust: 0.004 T-total: 0.484 Matches: 1009 Robust: 989 Success: True
2022-03-09 15:29:27,642 DEBUG: Matching DJI_0025.JPG and DJI_0028.JPG.  Matcher: FLANN (symmetric) T-desc: 0.437 T-robust: 0.027 T-total: 0.464 Matches: 23 Robust: 10 Success: False
2022-03-09 15:29:27,725 DEBUG: Matching DJI_0021.JPG and DJI_0022.JPG.  Matcher: FLANN (symmetric) T-desc: 1.132 T-robust: 0.001 T-total: 1.134 Matches: 395 Robust: 357 Success: True
2022-03-09 15:29:27,751 DEBUG: Matching DJI_0023.JPG and DJI_0035.JPG.  Matcher: FLANN (symmetric) T-desc: 0.727 T-robust: 0.001 T-total: 0.728 Matches: 231 Robust: 213 Success: True
2022-03-09 15:29:27,855 DEBUG: Matching DJI_0025.JPG and DJI_0029.JPG.  Matcher: FLANN (symmetric) T-desc: 0.506 T-robust: 0.029 T-total: 0.535 Matches: 32 Robust: 9 Success: False
2022-03-09 15:29:27,970 DEBUG: Matching DJI_0025.JPG and DJI_0031.JPG.  Matcher: FLANN (symmetric) T-desc: 0.417 T-robust: 0.018 T-total: 0.435 Matches: 37 Robust: 20 Success: True
2022-03-09 15:29:28,205 DEBUG: Matching DJI_0019.JPG and DJI_0026.JPG.  Matcher: FLANN (symmetric) T-desc: 0.732 T-robust: 0.001 T-total: 0.733 Matches: 114 Robust: 92 Success: True
2022-03-09 15:29:28,372 DEBUG: Matching DJI_0020.JPG and DJI_0021.JPG.  Matcher: FLANN (symmetric) T-desc: 1.182 T-robust: 0.001 T-total: 1.185 Matches: 409 Robust: 383 Success: True
2022-03-09 15:29:28,464 DEBUG: Matching DJI_0025.JPG and DJI_0022.JPG.  Matcher: FLANN (symmetric) T-desc: 0.819 T-robust: 0.001 T-total: 0.821 Matches: 426 Robust: 407 Success: True
2022-03-09 15:29:28,493 DEBUG: Matching DJI_0029.JPG and DJI_0020.JPG.  Matcher: FLANN (symmetric) T-desc: 0.850 T-robust: 0.010 T-total: 0.860 Matches: 70 Robust: 42 Success: True
2022-03-09 15:29:28,530 DEBUG: Matching DJI_0018.JPG and DJI_0026.JPG.  Matcher: FLANN (symmetric) T-desc: 0.755 T-robust: 0.022 T-total: 0.777 Matches: 31 Robust: 9 Success: False
2022-03-09 15:29:28,644 DEBUG: Matching DJI_0032.JPG and DJI_0029.JPG.  Matcher: FLANN (symmetric) T-desc: 0.651 T-robust: 0.022 T-total: 0.673 Matches: 35 Robust: 9 Success: False
2022-03-09 15:29:28,669 DEBUG: Matching DJI_0020.JPG and DJI_0024.JPG.  Matcher: FLANN (symmetric) T-desc: 0.789 T-robust: 0.022 T-total: 0.811 Matches: 34 Robust: 10 Success: False
2022-03-09 15:29:28,788 DEBUG: Matching DJI_0035.JPG and DJI_0030.JPG.  Matcher: FLANN (symmetric) T-desc: 0.395 T-robust: 0.017 T-total: 0.413 Matches: 26 Robust: 11 Success: False
2022-03-09 15:29:28,816 DEBUG: Matching DJI_0019.JPG and DJI_0022.JPG.  Matcher: FLANN (symmetric) T-desc: 1.071 T-robust: 0.020 T-total: 1.091 Matches: 45 Robust: 10 Success: False
2022-03-09 15:29:28,926 DEBUG: Matching DJI_0029.JPG and DJI_0026.JPG.  Matcher: FLANN (symmetric) T-desc: 0.418 T-robust: 0.014 T-total: 0.433 Matches: 31 Robust: 9 Success: False
2022-03-09 15:29:28,993 DEBUG: Matching DJI_0030.JPG and DJI_0018.JPG.  Matcher: FLANN (symmetric) T-desc: 0.518 T-robust: 0.009 T-total: 0.527 Matches: 37 Robust: 20 Success: True
2022-03-09 15:29:29,067 DEBUG: Matching DJI_0018.JPG and DJI_0022.JPG.  Matcher: FLANN (symmetric) T-desc: 0.848 T-robust: 0.014 T-total: 0.861 Matches: 39 Robust: 10 Success: False
2022-03-09 15:29:29,069 INFO: Matched 110 pairs (brown-brown: 110) in 11.718816200000001 seconds (0.10653469636363637 seconds/pair).
[INFO]    running "C:\WebODM\resources\app\apps\ODM\SuperBuild\install\bin\opensfm\bin\opensfm" create_tracks "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\opensfm"
2022-03-09 15:29:30,813 INFO: reading features
2022-03-09 15:29:31,935 DEBUG: Merging features onto tracks
2022-03-09 15:29:32,065 DEBUG: Good tracks: 8490
[INFO]    running "C:\WebODM\resources\app\apps\ODM\SuperBuild\install\bin\opensfm\bin\opensfm" reconstruct "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\opensfm"
2022-03-09 15:29:34,309 INFO: Starting incremental reconstruction
2022-03-09 15:29:34,540 INFO: Starting reconstruction with DJI_0025.JPG and DJI_0034.JPG
2022-03-09 15:29:34,554 INFO: Two-view 5-points reconstruction inliers (transposed=False): 964 / 965
2022-03-09 15:29:34,670 INFO: Triangulated: 964
2022-03-09 15:29:34,885 DEBUG: Ceres Solver Report: Iterations: 9, Initial cost: 1.327586e+01, Final cost: 8.679084e+00, Termination: CONVERGENCE
2022-03-09 15:29:34,906 INFO: Removed outliers: 17
2022-03-09 15:29:34,928 INFO: -------------------------------------------------------
2022-03-09 15:29:34,952 INFO: DJI_0033.JPG resection inliers: 561 / 561
2022-03-09 15:29:34,962 INFO: Adding DJI_0033.JPG to the reconstruction
2022-03-09 15:29:35,043 INFO: Re-triangulating
2022-03-09 15:29:35,043 INFO: Shots and/or GCPs are well-conditioned. Using naive 3D-3D alignment.
2022-03-09 15:29:35,172 DEBUG: Ceres Solver Report: Iterations: 8, Initial cost: 1.397323e+02, Final cost: 1.652006e+01, Termination: CONVERGENCE
2022-03-09 15:29:35,587 DEBUG: Ceres Solver Report: Iterations: 5, Initial cost: 2.658581e+01, Final cost: 1.674916e+01, Termination: CONVERGENCE
2022-03-09 15:29:35,647 INFO: Removed outliers: 24
2022-03-09 15:29:35,652 INFO: -------------------------------------------------------
2022-03-09 15:29:35,673 INFO: DJI_0026.JPG resection inliers: 646 / 648
2022-03-09 15:29:35,680 INFO: Adding DJI_0026.JPG to the reconstruction
2022-03-09 15:29:35,741 INFO: Shots and/or GCPs are well-conditioned. Using naive 3D-3D alignment.
2022-03-09 15:29:35,926 DEBUG: Ceres Solver Report: Iterations: 8, Initial cost: 2.722815e+02, Final cost: 2.215147e+01, Termination: CONVERGENCE
2022-03-09 15:29:36,000 INFO: Removed outliers: 37
2022-03-09 15:29:36,004 INFO: -------------------------------------------------------
2022-03-09 15:29:36,018 INFO: DJI_0032.JPG resection inliers: 720 / 721
2022-03-09 15:29:36,025 INFO: Adding DJI_0032.JPG to the reconstruction
2022-03-09 15:29:36,073 INFO: Shots and/or GCPs are well-conditioned. Using naive 3D-3D alignment.
2022-03-09 15:29:36,314 DEBUG: Ceres Solver Report: Iterations: 8, Initial cost: 5.281831e+01, Final cost: 3.085003e+01, Termination: CONVERGENCE
2022-03-09 15:29:36,391 INFO: Removed outliers: 24
2022-03-09 15:29:36,396 INFO: -------------------------------------------------------
2022-03-09 15:29:36,417 INFO: DJI_0027.JPG resection inliers: 684 / 688
2022-03-09 15:29:36,425 INFO: Adding DJI_0027.JPG to the reconstruction
2022-03-09 15:29:36,479 INFO: Re-triangulating
2022-03-09 15:29:36,479 INFO: Shots and/or GCPs are well-conditioned. Using naive 3D-3D alignment.
2022-03-09 15:29:36,748 DEBUG: Ceres Solver Report: Iterations: 7, Initial cost: 1.048951e+02, Final cost: 3.658197e+01, Termination: CONVERGENCE
2022-03-09 15:29:37,510 DEBUG: Ceres Solver Report: Iterations: 7, Initial cost: 7.331401e+01, Final cost: 4.248000e+01, Termination: CONVERGENCE
2022-03-09 15:29:37,602 INFO: Removed outliers: 99
2022-03-09 15:29:37,608 INFO: -------------------------------------------------------
2022-03-09 15:29:37,619 INFO: DJI_0031.JPG resection inliers: 606 / 607
2022-03-09 15:29:37,625 INFO: Adding DJI_0031.JPG to the reconstruction
2022-03-09 15:29:37,676 INFO: -------------------------------------------------------
2022-03-09 15:29:37,689 INFO: DJI_0028.JPG resection inliers: 570 / 573
2022-03-09 15:29:37,695 INFO: Adding DJI_0028.JPG to the reconstruction
2022-03-09 15:29:37,727 INFO: Shots and/or GCPs are well-conditioned. Using naive 3D-3D alignment.
2022-03-09 15:29:38,124 DEBUG: Ceres Solver Report: Iterations: 8, Initial cost: 2.078611e+02, Final cost: 5.628333e+01, Termination: CONVERGENCE
2022-03-09 15:29:38,227 INFO: Removed outliers: 70
2022-03-09 15:29:38,234 INFO: -------------------------------------------------------
2022-03-09 15:29:38,244 INFO: DJI_0021.JPG resection inliers: 517 / 520
2022-03-09 15:29:38,252 INFO: Adding DJI_0021.JPG to the reconstruction
2022-03-09 15:29:38,272 INFO: -------------------------------------------------------
2022-03-09 15:29:38,283 INFO: DJI_0035.JPG resection inliers: 492 / 494
2022-03-09 15:29:38,289 INFO: Adding DJI_0035.JPG to the reconstruction
2022-03-09 15:29:38,328 INFO: -------------------------------------------------------
2022-03-09 15:29:38,341 INFO: DJI_0024.JPG resection inliers: 541 / 607
2022-03-09 15:29:38,347 INFO: Adding DJI_0024.JPG to the reconstruction
2022-03-09 15:29:38,376 INFO: Shots and/or GCPs are well-conditioned. Using naive 3D-3D alignment.
2022-03-09 15:29:42,190 DEBUG: Ceres Solver Report: Iterations: 101, Initial cost: 4.600452e+02, Final cost: 7.347740e+01, Termination: NO_CONVERGENCE
2022-03-09 15:29:42,305 INFO: Removed outliers: 49
2022-03-09 15:29:42,313 INFO: -------------------------------------------------------
2022-03-09 15:29:42,322 INFO: DJI_0022.JPG resection inliers: 517 / 523
2022-03-09 15:29:42,328 INFO: Adding DJI_0022.JPG to the reconstruction
2022-03-09 15:29:42,354 INFO: -------------------------------------------------------
2022-03-09 15:29:42,367 INFO: DJI_0020.JPG resection inliers: 483 / 485
2022-03-09 15:29:42,373 INFO: Adding DJI_0020.JPG to the reconstruction
2022-03-09 15:29:42,392 INFO: -------------------------------------------------------
2022-03-09 15:29:42,417 INFO: DJI_0023.JPG resection inliers: 457 / 461
2022-03-09 15:29:42,422 INFO: Adding DJI_0023.JPG to the reconstruction
2022-03-09 15:29:42,447 INFO: -------------------------------------------------------
2022-03-09 15:29:42,461 INFO: DJI_0019.JPG resection inliers: 285 / 285
2022-03-09 15:29:42,466 INFO: Adding DJI_0019.JPG to the reconstruction
2022-03-09 15:29:42,487 INFO: -------------------------------------------------------
2022-03-09 15:29:42,497 INFO: DJI_0029.JPG resection inliers: 195 / 199
2022-03-09 15:29:42,500 INFO: Adding DJI_0029.JPG to the reconstruction
2022-03-09 15:29:42,537 INFO: -------------------------------------------------------
2022-03-09 15:29:42,550 INFO: DJI_0030.JPG resection inliers: 251 / 252
2022-03-09 15:29:42,554 INFO: Adding DJI_0030.JPG to the reconstruction
2022-03-09 15:29:42,598 INFO: Re-triangulating
2022-03-09 15:29:42,599 INFO: Shots and/or GCPs are well-conditioned. Using naive 3D-3D alignment.
2022-03-09 15:29:47,757 DEBUG: Ceres Solver Report: Iterations: 101, Initial cost: 2.620565e+02, Final cost: 1.124351e+02, Termination: NO_CONVERGENCE
2022-03-09 15:29:49,349 DEBUG: Ceres Solver Report: Iterations: 8, Initial cost: 2.521584e+02, Final cost: 1.300033e+02, Termination: CONVERGENCE
2022-03-09 15:29:49,487 INFO: Removed outliers: 209
2022-03-09 15:29:49,497 INFO: -------------------------------------------------------
2022-03-09 15:29:49,505 INFO: DJI_0018.JPG resection inliers: 138 / 142
2022-03-09 15:29:49,508 INFO: Adding DJI_0018.JPG to the reconstruction
2022-03-09 15:29:49,527 INFO: -------------------------------------------------------
2022-03-09 15:29:49,527 WARNING: Cannot align on GCPs only, GPS bias won't be compensated.
2022-03-09 15:29:51,539 DEBUG: Ceres Solver Report: Iterations: 38, Initial cost: 1.394702e+02, Final cost: 1.163298e+02, Termination: CONVERGENCE
2022-03-09 15:29:51,681 INFO: Removed outliers: 20
2022-03-09 15:29:51,755 INFO: Reconstruction 0: 18 images, 8325 points
2022-03-09 15:29:51,755 INFO: 1 partial reconstructions in total.
[INFO]    Export reconstruction stats
[INFO]    running "C:\WebODM\resources\app\apps\ODM\SuperBuild\install\bin\opensfm\bin\opensfm" compute_statistics --diagram_max_points 100000 "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\opensfm"
2022-03-09 15:29:57,925 DEBUG: locator: <matplotlib.colorbar._ColorbarAutoLocator object at 0x00000209138BA760>
2022-03-09 15:29:57,926 DEBUG: Using auto colorbar locator <matplotlib.colorbar._ColorbarAutoLocator object at 0x00000209138BA760> on colorbar
2022-03-09 15:29:57,926 DEBUG: Setting pcolormesh
2022-03-09 15:29:58,655 DEBUG: locator: <matplotlib.colorbar._ColorbarAutoLocator object at 0x000002091374EA90>
2022-03-09 15:29:58,655 DEBUG: Using auto colorbar locator <matplotlib.colorbar._ColorbarAutoLocator object at 0x000002091374EA90> on colorbar
2022-03-09 15:29:58,655 DEBUG: Setting pcolormesh
[INFO]    running "C:\WebODM\resources\app\apps\ODM\SuperBuild\install\bin\opensfm\bin\opensfm" export_geocoords --reconstruction --proj "+proj=utm +zone=15 +datum=WGS84 +units=m +no_defs +type=crs" --offset-x 576705.0 --offset-y 5188170.0 "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\opensfm"
[INFO]    Updating C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\opensfm\config.yaml
[INFO]    undistorted_image_max_size: 1942
[INFO]    Undistorting C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\opensfm ...
2022-03-09 15:30:05,956 DEBUG: Undistorting image DJI_0025.JPG
2022-03-09 15:30:05,956 DEBUG: Undistorting image DJI_0027.JPG
2022-03-09 15:30:05,957 DEBUG: Undistorting image DJI_0034.JPG
2022-03-09 15:30:05,957 DEBUG: Undistorting image DJI_0028.JPG
2022-03-09 15:30:05,957 DEBUG: Undistorting image DJI_0033.JPG
2022-03-09 15:30:05,958 DEBUG: Undistorting image DJI_0032.JPG
2022-03-09 15:30:05,958 DEBUG: Undistorting image DJI_0031.JPG
2022-03-09 15:30:05,957 DEBUG: Undistorting image DJI_0026.JPG
2022-03-09 15:30:07,749 DEBUG: Undistorting image DJI_0021.JPG
2022-03-09 15:30:07,858 DEBUG: Undistorting image DJI_0035.JPG
2022-03-09 15:30:08,052 DEBUG: Undistorting image DJI_0024.JPG
2022-03-09 15:30:08,057 DEBUG: Undistorting image DJI_0022.JPG
2022-03-09 15:30:08,169 DEBUG: Undistorting image DJI_0020.JPG
2022-03-09 15:30:08,276 DEBUG: Undistorting image DJI_0023.JPG
2022-03-09 15:30:08,378 DEBUG: Undistorting image DJI_0019.JPG
2022-03-09 15:30:08,498 DEBUG: Undistorting image DJI_0029.JPG
2022-03-09 15:30:10,042 DEBUG: Undistorting image DJI_0030.JPG
2022-03-09 15:30:10,220 DEBUG: Undistorting image DJI_0018.JPG
[INFO]    running "C:\WebODM\resources\app\apps\ODM\SuperBuild\install\bin\opensfm\bin\opensfm" export_visualsfm --points "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\opensfm"
[INFO]    Finished opensfm stage
[INFO]    Running openmvs stage
[INFO]    running "C:\WebODM\resources\app\apps\ODM\SuperBuild\install\bin\opensfm\bin\opensfm" export_openmvs "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\opensfm"
[INFO]    Running dense reconstruction. This might take a while.
[INFO]    Estimating depthmaps
[INFO]    running "C:\WebODM\resources\app\apps\ODM\SuperBuild\install\bin\OpenMVS\DensifyPointCloud" "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\opensfm\undistorted\openmvs\scene.mvs"  --resolution-level 2 --min-resolution 500 --max-resolution 1942 --max-threads 8 --number-views-fuse 2 -w "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\opensfm\undistorted\openmvs\depthmaps" -v 0 --geometric-iters 0
[WARNING] OpenMVS failed with GPU, is your graphics card driver up to date? Falling back to CPU.
[INFO]    running "C:\WebODM\resources\app\apps\ODM\SuperBuild\install\bin\OpenMVS\DensifyPointCloud" "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\opensfm\undistorted\openmvs\scene.mvs"  --resolution-level 2 --min-resolution 500 --max-resolution 1942 --max-threads 8 --number-views-fuse 2 -w "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\opensfm\undistorted\openmvs\depthmaps" -v 0 --geometric-iters 0 --cuda-device -1
[INFO]    running "C:\WebODM\resources\app\apps\ODM\SuperBuild\install\bin\OpenMVS\DensifyPointCloud" --filter-point-cloud -1 -i "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\opensfm\undistorted\openmvs\scene_dense.mvs" -v 0 --cuda-device -1
[INFO]    Finished openmvs stage
[INFO]    Running odm_filterpoints stage
2022-03-09 15:31:35,894 DEBUG: Entering env context: <fiona.env.Env object at 0x0000023EEF1D4FD0>
2022-03-09 15:31:35,895 DEBUG: Starting outermost env
2022-03-09 15:31:35,895 DEBUG: No GDAL environment exists
2022-03-09 15:31:35,895 DEBUG: New GDAL environment <fiona._env.GDALEnv object at 0x0000023EEF1D4790> created
2022-03-09 15:31:35,896 DEBUG: GDAL_DATA found in environment.
2022-03-09 15:31:35,896 DEBUG: PROJ_LIB found in environment.
2022-03-09 15:31:35,896 DEBUG: Started GDALEnv: self=<fiona._env.GDALEnv object at 0x0000023EEF1D4790>.
2022-03-09 15:31:35,896 DEBUG: Updated existing <fiona._env.GDALEnv object at 0x0000023EEF1D4790> with options {}
2022-03-09 15:31:35,896 DEBUG: Entered env context: <fiona.env.Env object at 0x0000023EEF1D4FD0>
2022-03-09 15:31:35,896 DEBUG: Got a copy of environment <fiona._env.GDALEnv object at 0x0000023EEF1D4790> options
2022-03-09 15:31:35,896 DEBUG: Credentialized: {'CHECK_WITH_INVERT_PROJ': True, 'GTIFF_IMPLICIT_JPEG_OVR': False, 'FIONA_ENV': True, 'GDAL_DATA': 'C:\\WebODM\\resources\\app\\apps\\ODM\\venv\\lib\\site-packages\\osgeo\\data\\gdal'}
2022-03-09 15:31:35,896 DEBUG: Exiting env context: <fiona.env.Env object at 0x0000023EEF1D4FD0>
2022-03-09 15:31:35,896 DEBUG: Cleared existing <fiona._env.GDALEnv object at 0x0000023EEF1D4790> options
2022-03-09 15:31:35,896 DEBUG: Stopping GDALEnv <fiona._env.GDALEnv object at 0x0000023EEF1D4790>.
2022-03-09 15:31:35,896 DEBUG: Error handler popped.
2022-03-09 15:31:35,896 DEBUG: Stopped GDALEnv <fiona._env.GDALEnv object at 0x0000023EEF1D4790>.
2022-03-09 15:31:35,897 DEBUG: Exiting outermost env
2022-03-09 15:31:35,897 DEBUG: Exited env context: <fiona.env.Env object at 0x0000023EEF1D4FD0>
2022-03-09 15:31:35,899 DEBUG: Flushed buffer
2022-03-09 15:31:35,899 DEBUG: Stopped session
[INFO]    Filtering C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\opensfm\undistorted\openmvs\scene_dense_dense_filtered.ply (statistical, meanK 16, standard deviation 2.5)
[INFO]    Boundary [(17.052400203538127, -63.701619311235845), (15.814241036423482, -64.83897012565285), (14.518675343948416, -65.91047119162977), (13.169201091630384, -66.91322950832546), (11.76946179533843, -67.84453767444938), (10.323236684431322, -68.70188120380044), (8.834430497605354, -69.48294530902058), (7.307062940555625, -70.18562115449458), (5.74525783280842, -70.80801154952496), (4.153231973410584, -71.34843606967479), (2.5352837562095374, -71.80543559323996), (0.8957815641770139, -72.17777624540031), (-0.7608480250928551, -72.46445272210985), (-2.4301321908133104, -72.6646910123527), (-4.1075639453483745, -72.77795048058033), (-5.788614303106442, -72.80392533354461), (-7.468744508456439, -72.74254543799907), (-9.143418290070258, -72.59397651907057), (-10.80811410874594, -72.35861970484257), (-12.458337365067564, -72.0371104478836), (-14.089632535120472, -71.6303168060258), (-15.697595199919306, -71.13933710474521), (-17.277883937116712, -70.56549696531147), (-18.82623204239644, -69.91034572850913), (-20.338459049817175, -69.17565227113664), (-21.810482018860057, -68.36340023111552), (-23.238326557562687, -67.47578264866024), (-24.618137554032728, -66.51519605051726), (-25.94618958455976, -65.48423397447914), (-44.737450299202465, -50.09784658253193), (-46.10036127700005, -48.91693566553295), (-47.39536322199274, -47.66192694567144), (-48.61843339179177, -46.3367189290002), (-66.2132773132762, -26.172955552116036), (-67.27825093897991, -24.88696483708918), (-68.27546577493194, -23.547747337259352), (-69.20226621755864, -22.15886941552162), (-70.05618417821825, -20.724029682576656), (-70.83494565589353, -19.247049146331847), (-71.53647679253481, -17.73186103720218), (-72.15890939626843, -16.182500331662595), (-72.70058591628913, -14.603093009442091), (-73.160063856747, -12.997845064848661), (-73.5361196185695, -11.371031305752695), (-73.82775175734423, -9.726983970962465), (-74.03418365085963, -8.070081193000078), (-74.15486556652468, -6.404735337942839), (-74.18947612610646, -4.7353812558576465), (-74.13792316080071, -3.066464471630752), (-74.00034395721741, -1.4024293441325426), (-73.77710489172023, 0.2522927662357688), (-73.4688004545169, 1.893295300193131), (-73.07625166664366, 3.516208234243095), (-72.60050389368553, 5.116709717549384), (-72.04282406170387, 6.690537582151592), (-71.40469728363678, 8.23350069206208), (-70.68782290432137, 9.741490103304386), (-69.8941099748481, 11.210490010678768), (-69.02567216916941, 12.636588436551392), (-68.08482215518598, 14.01598765142262), (-67.0740654359106, 15.345014286227524), (-65.99609367712401, 16.620129115879536), (-64.85377754026558, 17.837936484254897), (-36.19873445224948, 46.84879065863788), (-36.140232444508, 46.90786708146334), (-26.633786087390035, 56.48301799502224), (-26.51088276214432, 56.60614574234933), (-16.7688755284762, 66.313606495969), (-15.552789078094065, 67.46423638425767), (-14.278814600314945, 68.5504244081676), (-12.950362816103734, 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-0.8415014585480094), (72.65234727493953, -2.4418450174853206), (72.04390624060761, -4.01265127863735), (71.3545376744587, -5.549662593752146), (70.58611010049935, -7.048712914809585), (69.74070633074734, -8.505739087238908), (68.82061782013625, -9.916791862808168), (67.82833845587447, -11.278046601451933), (66.76655779697467, -12.585813643410802), (65.63815378514118, -13.836548302322626), (46.81929178838618, -33.63410949707031), (46.61346545442939, -33.84865743666887), (27.834579313523136, -53.244106392376125), (27.08916520664934, -53.98931347299367), (17.052400203538127, -63.701619311235845)]
[INFO]    running "C:\WebODM\resources\app\apps\ODM\SuperBuild\install\bin\FPCFilter" --input "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\opensfm\undistorted\openmvs\scene_dense_dense_filtered.ply" --output "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_filterpoints\point_cloud.ply" --concurrency 8  --meank 16 --std 2.5 --boundary "C:\Users\BEC\AppData\Local\Temp\tmp56h8xhmn.boundary.json"
*** FPCFilter - v0.1 ***

?> Parameters:
input = C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\opensfm\undistorted\openmvs\scene_dense_dense_filtered.ply
output = C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_filterpoints\point_cloud.ply
std = 2.5
meanK = 16
boundary = 134 polygon vertexes
concurrency = 8
verbose = no

-> Setting num_threads to 8

-> Cropping

-> Done cropping in 0.431s

?> Skipping sampling

-> Statistical filtering

?> Done in 0.8726s

-> Writing output

?> Done in 0.4544s

?> Pipeline done in 1.758s

[INFO]    Finished odm_filterpoints stage
[INFO]    Running odm_meshing stage
[INFO]    Writing ODM Mesh file in: C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_meshing\odm_mesh.ply
[INFO]    running "C:\WebODM\resources\app\apps\ODM\SuperBuild\install\bin\PoissonRecon" --in "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_filterpoints\point_cloud.ply" --out "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_meshing\odm_mesh.dirty.ply" --depth 11 --pointWeight 4.0 --samplesPerNode 1.0 --threads 7 --bType 2 --linearFit
[INFO]    running "C:\WebODM\resources\app\apps\ODM\SuperBuild\install\bin\OpenMVS\ReconstructMesh" -i "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_meshing\odm_mesh.dirty.ply" -o "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_meshing\odm_mesh.ply" --remove-spikes 0 --remove-spurious 20 --smooth 0 --target-face-num 400000 -v 0
[INFO]    Writing ODM 2.5D Mesh file in: C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_meshing\odm_25dmesh.ply
[INFO]    ODM 2.5D DSM resolution: 0.08090000000000001
[INFO]    Created temporary directory: C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_meshing\tmp
[INFO]    Creating DSM for 2.5D mesh
[INFO]    running pdal info "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_filterpoints\point_cloud.ply" > "C:\Users\BEC\AppData\Local\Temp\tmpdav702o6.json"
[INFO]    Point cloud bounds are [minx: -40.15449524, maxx: 63.02632141] [miny: -55.73596191, maxy: 41.54305267]
[INFO]    DEM resolution is (1203, 1276), max tile size is 4096, will split DEM generation into 1 tiles
[INFO]    Generating C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_meshing\tmp\mesh_dsm_r0.11440987719598342_x0_y0.tif (max, radius: 0.11440987719598342, resolution: 0.08090000000000001)
[INFO]    running pdal pipeline -i "C:\Users\BEC\AppData\Local\Temp\tmpi1bajen2.json"
[INFO]    running gdalbuildvrt -input_file_list "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_meshing\tmp\tiles_list.txt" "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_meshing\tmp\tiles.vrt"
0...10...20...30...40...50...60...70...80...90...100 - done.
[INFO]    running gdal_translate -co NUM_THREADS=8 -co BIGTIFF=IF_SAFER --config GDAL_CACHEMAX 33.25% "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_meshing\tmp\tiles.vrt" "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_meshing\tmp\tiles.tmp.tif"
Input file size is 1276, 1203
0...10...20...30...40...50...60...70...80...90...100 - done.
[INFO]    running gdal_translate -co NUM_THREADS=8 -co BIGTIFF=IF_SAFER --config GDAL_CACHEMAX 33.25% -outsize 10% 0 "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_meshing\tmp\tiles.tmp.tif" "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_meshing\tmp\tiles.small.tif"
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Input file size is 1276, 1203
0...10...20...30...40...50...60...70...80...90...100 - done.
[INFO]    running gdalbuildvrt -resolution highest -r bilinear "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_meshing\tmp\merged.vrt" "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_meshing\tmp\tiles.small_filled.tif" "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_meshing\tmp\tiles.tmp.tif"
0...10...20...30...40...50...60...70...80...90...100 - done.
[INFO]    running gdal_translate -co NUM_THREADS=8 -co TILED=YES -co BIGTIFF=IF_SAFER -co COMPRESS=DEFLATE --config GDAL_CACHEMAX 33.25% "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_meshing\tmp\merged.vrt" "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_meshing\tmp\tiles.tif"
Input file size is 1276, 1203
0...10...20...30...40...50...60...70...80...90...100 - done.
[INFO]    Starting smoothing...
[INFO]    Smoothing iteration 1
[INFO]    Completed smoothing to create C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_meshing\tmp\mesh_dsm.tif in 0:00:00.502030
[INFO]    Completed mesh_dsm.tif in 0:00:04.884432
[INFO]    Creating mesh from DSM: C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_meshing\tmp\mesh_dsm.tif
[INFO]    running "C:\WebODM\resources\app\apps\ODM\SuperBuild\install\bin\dem2mesh" -inputFile "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_meshing\tmp\mesh_dsm.tif" -outputFile "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_meshing\odm_25dmesh.dirty.ply" -maxTileLength 2000 -maxVertexCount 200000 -maxConcurrency 8 -edgeSwapThreshold 0.15
[INFO]    running "C:\WebODM\resources\app\apps\ODM\SuperBuild\install\bin\OpenMVS\ReconstructMesh" -i "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_meshing\odm_25dmesh.dirty.ply" -o "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_meshing\odm_25dmesh.ply" --remove-spikes 0 --remove-spurious 0 --smooth 0 --target-face-num 400000 -v 0
[INFO]    Finished odm_meshing stage
[INFO]    Running mvs_texturing stage
[INFO]    Writing MVS Textured file in: C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_texturing\odm_textured_model_geo.obj
[INFO]    running "C:\WebODM\resources\app\apps\ODM\SuperBuild\install\bin\texrecon" "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\opensfm\undistorted/reconstruction.nvm" "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_meshing\odm_mesh.ply" "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_texturing\odm_textured_model_geo" -d gmi -o gauss_clamping -t none --no_intermediate_results      --max_texture_size=8192
C:\WebODM\resources\app\apps\ODM\SuperBuild\install\bin\texrecon (built on Feb 27 2022, 18:18:42)
Load and prepare mesh:
Reading PLY: 190725 verts... 381433 faces... done.
Generating texture views:
NVM: Loading file...
NVM: Number of views: 18
NVM: Number of features: 8325

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572148 total edges.
View selection:
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Maximum quality of a face within an image: 267.451
Clamping qualities to 21.8529 within normalization.
Optimizing:
Time[s] Energy
0   337362
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9   325405
10  325323
11  325265
11  325205
29415 faces have not been seen
Took: 16.392s
Generating texture patches:
Running... done. (Took 0.886s)
1370 texture patches.
Running global seam leveling:
Create matrices for optimization...  done.
Lhs dimensionality: 192027 x 192027
Calculating adjustments:
Color channel 1: CG took 88 iterations. Residual is 8.71926e-05
Color channel 2: CG took 88 iterations. Residual is 8.53896e-05
Color channel 0: CG took 88 iterations. Residual is 8.81379e-05
Took 0.378 seconds

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Finalizing texture atlases... done. (Took: 0s)
Building objmodel:
Saving model... done.
Whole texturing procedure took: 31.152s
[INFO]    Writing MVS Textured file in: C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_texturing_25d\odm_textured_model_geo.obj
[INFO]    running "C:\WebODM\resources\app\apps\ODM\SuperBuild\install\bin\texrecon" "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\opensfm\undistorted/reconstruction.nvm" "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_meshing\odm_25dmesh.ply" "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_texturing_25d\odm_textured_model_geo" -d gmi -o gauss_clamping -t none --no_intermediate_results    --nadir_mode  --max_texture_size=8192
C:\WebODM\resources\app\apps\ODM\SuperBuild\install\bin\texrecon (built on Feb 27 2022, 18:18:42)
Load and prepare mesh:
Reading PLY: 202452 verts... 399948 faces... done.
Warning: Zero-length normals detected: 0 face normals, 1 vertex normals
Generating texture views:
NVM: Loading file...
NVM: Number of views: 18
NVM: Number of features: 8325

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Adding edges 100%... done. (Took 0.984s)
597445 total edges.
View selection:
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Maximum quality of a face within an image: 9998.25
Clamping qualities to 9945.25 within normalization.
Optimizing:
Time[s] Energy
0   89089
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17978 faces have not been seen
Took: 13.386s
Generating texture patches:
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260 texture patches.
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Create matrices for optimization...  done.
Lhs dimensionality: 196433 x 196433
Calculating adjustments:
Color channel 2: CG took 61 iterations. Residual is 9.09145e-05
Color channel 0: CG took 62 iterations. Residual is 9.5602e-05
Color channel 1: CG took 66 iterations. Residual is 9.99462e-05
Took 0.302 seconds

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Finalizing texture atlases... done. (Took: 0s)
Building objmodel:
Saving model... done.
Whole texturing procedure took: 25.407s
[INFO]    Finished mvs_texturing stage
[INFO]    Running odm_georeferencing stage
[INFO]    Georeferencing point cloud
[INFO]    running pdal translate -i "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_filterpoints\point_cloud.ply" -o "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_georeferencing\odm_georeferenced_model.laz" ferry transformation --filters.ferry.dimensions="views => UserData" --writers.las.compression="lazip" --filters.transformation.matrix="1 0 0 576705.0 0 1 0 5188170.0 0 0 1 0 0 0 0 1" --writers.las.offset_x=576705.0 --writers.las.offset_y=5188170.0 --writers.las.offset_z=0 --writers.las.a_srs="+proj=utm +zone=15 +datum=WGS84 +units=m +no_defs +type=crs"
[INFO]    Calculating cropping area and generating bounds shapefile from point cloud
[INFO]    running pdal translate -i "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_georeferencing\odm_georeferenced_model.laz" -o "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_georeferencing\odm_georeferenced_model.decimated.las" decimation --filters.decimation.step=40
[INFO]    running pdal info --boundary --filters.hexbin.edge_size=1 --filters.hexbin.threshold=0 "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_georeferencing\odm_georeferenced_model.decimated.las" > "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_georeferencing\odm_georeferenced_model.boundary.json"
[INFO]    running pdal info --summary "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_georeferencing\odm_georeferenced_model.laz" > "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_georeferencing\odm_georeferenced_model.summary.json"
[INFO]    running ogr2ogr -overwrite -f GPKG -a_srs "+proj=utm +zone=15 +datum=WGS84 +units=m +no_defs" "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_georeferencing\odm_georeferenced_model.bounds.gpkg" "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_georeferencing\odm_georeferenced_model.bounds.geojson"
[INFO]    Creating Entwine Point Tile output
[INFO]    running untwine --temp_dir "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\entwine_pointcloud-tmp" --files "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_georeferencing\odm_georeferenced_model.laz" --output_dir "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\entwine_pointcloud"
[INFO]    Finished odm_georeferencing stage
[INFO]    Running odm_dem stage
[INFO]    Classify: False
[INFO]    Create DSM: True
[INFO]    Create DTM: False
[INFO]    DEM input file C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_georeferencing\odm_georeferenced_model.laz found: True
[INFO]    running pdal info --summary "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_georeferencing\odm_georeferenced_model.laz" > "C:\Users\BEC\AppData\Local\Temp\tmp3o0uhrjp.json"
[INFO]    Point cloud bounds are [minx: 576664.8455, maxx: 576768.0263] [miny: 5188114.264, maxy: 5188211.543]
[INFO]    DEM resolution is (1946, 2064), max tile size is 4096, will split DEM generation into 1 tiles
[INFO]    Generating C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_dem\dsm_r0.1_x0_y0.tif (max, radius: 0.1, resolution: 0.05)
[INFO]    Generating C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_dem\dsm_r0.05_x0_y0.tif (max, radius: 0.05, resolution: 0.05)
[INFO]    Generating C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_dem\dsm_r0.025_x0_y0.tif (max, radius: 0.025, resolution: 0.05)
[INFO]    running pdal pipeline -i "C:\Users\BEC\AppData\Local\Temp\tmpedlerwzn.json"
[INFO]    running pdal pipeline -i "C:\Users\BEC\AppData\Local\Temp\tmp5cvgwrsp.json"
[INFO]    running pdal pipeline -i "C:\Users\BEC\AppData\Local\Temp\tmpi8bx3iyi.json"
[INFO]    running gdalbuildvrt -input_file_list "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_dem\tiles_list.txt" "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_dem\tiles.vrt"
0...10...20...30...40...50...60...70...80...90...100 - done.
[INFO]    running gdal_translate -co NUM_THREADS=8 -co BIGTIFF=IF_SAFER --config GDAL_CACHEMAX 33.2% "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_dem\tiles.vrt" "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_dem\tiles.tmp.tif"
Input file size is 2064, 1946
0...10...20...30...40...50...60...70...80...90...100 - done.
[INFO]    running gdal_translate -co NUM_THREADS=8 -co BIGTIFF=IF_SAFER --config GDAL_CACHEMAX 33.2% -outsize 10% 0 "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_dem\tiles.tmp.tif" "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_dem\tiles.small.tif"
100 - done.
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Input file size is 2064, 1946
0...10...20...30...40...50...60...70...80...90...100 - done.
[INFO]    running gdalbuildvrt -resolution highest -r bilinear "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_dem\merged.vrt" "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_dem\tiles.small_filled.tif" "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_dem\tiles.tmp.tif"
0...10...20...30...40...50...60...70...80...90...100 - done.
[INFO]    running gdal_translate -co NUM_THREADS=8 -co TILED=YES -co BIGTIFF=IF_SAFER -co COMPRESS=DEFLATE --config GDAL_CACHEMAX 33.2% "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_dem\merged.vrt" "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_dem\tiles.tif"
Input file size is 2064, 1946
0...10...20...30...40...50...60...70...80...90...100 - done.
[INFO]    Starting smoothing...
[INFO]    Smoothing iteration 1
[INFO]    Completed smoothing to create C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_dem\dsm.tif in 0:00:01.188815
[INFO]    Completed dsm.tif in 0:00:04.860159
[INFO]    Cropping C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_dem\dsm.tif
[INFO]    running gdalwarp -cutline "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_georeferencing\odm_georeferenced_model.bounds.gpkg" -crop_to_cutline -co TILED=YES -co COMPRESS=DEFLATE -co BLOCKXSIZE=512 -co BLOCKYSIZE=512 -co BIGTIFF=IF_SAFER -co NUM_THREADS=8  "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_dem\dsm.original.tif" "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_dem\dsm.tif" --config GDAL_CACHEMAX 33.3%
Creating output file that is 1970P x 1831L.
Processing C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_dem\dsm.original.tif [1/1] : 0Using internal nodata values (e.g. -9999) for image C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_dem\dsm.original.tif.
Copying nodata values from source C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_dem\dsm.original.tif to destination C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_dem\dsm.tif.
...10...20...30...40...50...60...70...80...90...100 - done.
[INFO]    Optimizing C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_dem\dsm.tif as Cloud Optimized GeoTIFF
[INFO]    running gdal_translate -of COG -co NUM_THREADS=8 -co BLOCKSIZE=256 -co COMPRESS=DEFLATE -co PREDICTOR=2 -co BIGTIFF=IF_SAFER -co RESAMPLING=NEAREST --config GDAL_CACHEMAX 33.25% --config GDAL_NUM_THREADS 8 "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_dem\dsm.tif" "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_dem\dsm_cogeo.tif"
Input file size is 1970, 1831
0...10...20...30...40...50...60...70...80...90...100 - done.
[INFO]    Finished odm_dem stage
[INFO]    Running odm_orthophoto stage
[INFO]    running "C:\WebODM\resources\app\apps\ODM\SuperBuild\install\bin\odm_orthophoto" -inputFiles "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_texturing_25d\odm_textured_model_geo.obj" -logFile "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_orthophoto\odm_orthophoto_log.txt" -outputFile "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_orthophoto\odm_orthophoto_render.tif" -resolution 20.0  -outputCornerFile "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_orthophoto\odm_orthophoto_corners.txt"
[INFO]    Creating GeoTIFF
[INFO]    running gdal_translate -a_ullr 576664.8455047607 5188211.586738586 576767.9930038452 5188114.344936371 -co TILED=YES -co COMPRESS=DEFLATE -co PREDICTOR=2 -co BIGTIFF=IF_SAFER -co BLOCKXSIZE=512 -co BLOCKYSIZE=512 -co NUM_THREADS=8 -a_srs "+proj=utm +zone=15 +datum=WGS84 +units=m +no_defs +type=crs" --config GDAL_CACHEMAX 33.2% --config GDAL_TIFF_INTERNAL_MASK YES "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_orthophoto\odm_orthophoto_render.tif" "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_orthophoto\odm_orthophoto.tif" > "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_orthophoto\gdal_translate_log.txt"
[INFO]    Cropping C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_orthophoto\odm_orthophoto.tif
[INFO]    running gdalwarp -cutline "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_georeferencing\odm_georeferenced_model.bounds.gpkg" -crop_to_cutline -co TILED=YES -co COMPRESS=DEFLATE -co PREDICTOR=2 -co BIGTIFF=IF_SAFER -co BLOCKXSIZE=512 -co BLOCKYSIZE=512 -co NUM_THREADS=8 -dstalpha "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_orthophoto\odm_orthophoto.original.tif" "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_orthophoto\odm_orthophoto.tif" --config GDAL_CACHEMAX 33.2%
Using band 4 of source image as alpha.
Creating output file that is 1970P x 1832L.
Processing C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_orthophoto\odm_orthophoto.original.tif [1/1] : 0...10...20...30...40...50...60...70...80...90...100 - done.
[INFO]    Optimizing C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_orthophoto\odm_orthophoto.tif as Cloud Optimized GeoTIFF
[INFO]    running gdal_translate -of COG -co NUM_THREADS=8 -co BLOCKSIZE=256 -co COMPRESS=DEFLATE -co PREDICTOR=2 -co BIGTIFF=IF_SAFER -co RESAMPLING=NEAREST --config GDAL_CACHEMAX 33.2% --config GDAL_NUM_THREADS 8 "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_orthophoto\odm_orthophoto.tif" "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_orthophoto\odm_orthophoto_cogeo.tif"
Input file size is 1970, 1832
0...10...20...30...40...50...60...70...80...90...100 - done.
[INFO]    Finished odm_orthophoto stage
[INFO]    Running odm_report stage
[INFO]    Exporting shots.geojson
[INFO]    Wrote C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_report\shots.geojson
[INFO]    running pdal info --dimensions "X,Y,Z" "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_georeferencing\odm_georeferenced_model.laz" > "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_georeferencing\odm_georeferenced_model.info.json"
[INFO]    running pdal translate -i "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_georeferencing\odm_georeferenced_model.laz" -o "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\opensfm\stats\overlap.tif" --writer gdal --writers.gdal.resolution=0.07370000000003658 --writers.gdal.data_type=uint8_t --writers.gdal.dimension=UserData --writers.gdal.output_type=max --writers.gdal.radius=0.10422753954694886
[INFO]    Cropping C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\opensfm\stats\overlap.tif
[INFO]    running gdalwarp -cutline "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_georeferencing\odm_georeferenced_model.bounds.gpkg" -crop_to_cutline -co TILED=YES -co COMPRESS=DEFLATE -co PREDICTOR=2 -co BIGTIFF=IF_SAFER -co BLOCKXSIZE=512 -co BLOCKYSIZE=512 -co NUM_THREADS=8  "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\opensfm\stats\overlap.original.tif" "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\opensfm\stats\overlap.tif" --config GDAL_CACHEMAX 33.2%
Creating output file that is 1336P x 1243L.
Processing C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\opensfm\stats\overlap.original.tif [1/1] : 0Using internal nodata values (e.g. 255) for image C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\opensfm\stats\overlap.original.tif.
Copying nodata values from source C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\opensfm\stats\overlap.original.tif to destination C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\opensfm\stats\overlap.tif.
...10...20...30...40...50...60...70...80...90...100 - done.
[INFO]    running gdaldem color-relief "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\opensfm\stats\overlap.tif" "C:\WebODM\resources\app\apps\ODM\opendm\report\overlap_color_map.txt" "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\opensfm\stats\overlap.png" -of PNG -alpha
0...10...20...30...40...50...60...70...80...90...100 - done.
[INFO]    running gdal_translate -of png "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_orthophoto\odm_orthophoto.tif" "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\opensfm\stats\ortho.png" -outsize 1400 0  --config GDAL_CACHEMAX 33.2%
Input file size is 1970, 1832
0...10...20...30...40...50...60...70...80...90...100 - done.
[INFO]    running gdal_translate -outsize 1400 0 "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_dem\dsm.tif" "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_dem\dsm.preview.tif" --config GDAL_CACHEMAX 33.2%
Input file size is 1970, 1831
0...10...20...30...40...50...60...70...80...90...100 - done.
[INFO]    Computing raster stats for C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_dem\dsm.preview.tif
[INFO]    running gdaldem color-relief "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_dem\dsm.preview.tif" "C:\WebODM\resources\app\apps\ODM\opendm\tiles\color_relief.txt" "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_dem\dsm.previewcolor.tif" -alpha -co ALPHA=YES
0...10...20...30...40...50...60...70...80...90...100 - done.
[INFO]    running gdaldem hillshade "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_dem\dsm.preview.tif" "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_dem\dsm.previewhillshade.tif" -z 1.0 -s 1.0 -az 315.0 -alt 45.0
0...10...20...30...40...50...60...70...80...90...100 - done.
[INFO]    running C:\WebODM\resources\app\apps\ODM\venv\Scripts\python.exe "C:\WebODM\resources\app\apps\ODM\opendm\tiles\hsv_merge.py" "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_dem\dsm.previewcolor.tif" "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_dem\dsm.previewhillshade.tif" "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_dem\dsm.previewcolored_hillshade.tif"
0...10...20...30...40...50...60...70...80...90...100 - done.
[INFO]    running gdal_translate -outsize 1400 0 -of png "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_dem\dsm.previewcolored_hillshade.tif" "C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\opensfm\stats\dsm.png" --config GDAL_CACHEMAX 33.2%
Input file size is 1400, 1301
0...10...20...30...40...50...60...70...80...90...100 - done.
[INFO]    Exporting report to C:\WebODM\resources\app\apps\NodeODM\data\872c7f16-0fd0-40ad-b378-5bb6889bef8e\odm_report\report.pdf
2022-03-09 15:34:28,273 DEBUG: Final doc sections size summary:
2022-03-09 15:34:28,273 DEBUG: - header.size: 9.0B
2022-03-09 15:34:28,275 DEBUG: - pages.size: 4.1KiB
2022-03-09 15:34:28,275 DEBUG: - resources.fonts.size: 199.0B
2022-03-09 15:34:28,297 DEBUG: - resources.images.size: 7.5MiB
2022-03-09 15:34:28,297 DEBUG: - resources.dict.size: 227.0B
2022-03-09 15:34:28,297 DEBUG: - info.size: 55.0B
2022-03-09 15:34:28,298 DEBUG: - catalog.size: 104.0B
2022-03-09 15:34:28,298 DEBUG: - xref.size: 610.0B
2022-03-09 15:34:28,298 DEBUG: - trailer.size: 67.0B
[INFO]    Finished odm_report stage
[INFO]    Running odm_postprocess stage
[INFO]    Post Processing
[INFO]    Finished odm_postprocess stage
[INFO]    No more stages to run
[INFO]    MMMMMMMMMMMNNNMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMNNNMMMMMMMMMMM
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[INFO]    MMMMMMMMMMMMMMMMMMMy /o:- `oyhd/ shys+ `-:s-`hMMMMMMMMMMMMMMMMMM
[INFO]    MMMMMMMMNmdhhhdmNMMM`  +d+ sMMM+ hMMN:`hh-  sMMNmdhhhdmNMMMMMMMM
[INFO]    MMMMMms:::/++//::+ho    .+- /dM+ hNh- +/`   -h+:://++/::/smMMMMM
[INFO]    MMMN+./hmMMMMMMNds-  ./oso:.``:. :-``.:os+-  -sdNMMMMMMmy:.oNMMM
[INFO]    MMm-.hMNhNMMMMMMMMNo`/MMMMMNdhyyyyhhdNMMMM+`oNMMMMMMMMNhNMh.-mMM
[INFO]    MM:`mMMN/-sNNMMMMMMMo yMMMMMMMMMMMMMMMMMMy sMMMMMMMNNs-/NMMm`:MM
[INFO]    Mm /MMMMMd/.-oMMMMMMN :MMMMMMMMMMMMMMMMMM-`MMMMMMMo-./dMMMMM/ NM
[INFO]    Mm /MMMMMMm:-`sNMMMMN :MMMMMMMMMMMMMMMMMM-`MMMMMNs`-/NMMMMMM/ NM
[INFO]    MM:`mMMMMMMMMd/-sMMMo yMMMMMMMMMMMMMMMMMMy sMMMs-/dMMMMMMMMd`:MM
[INFO]    MMm-.hMMMMMMMMMdhMNo`+MMMMMMMMMMMMMMMMMMMM+`oNMhdMMMMMMMMMh.-mMM
[INFO]    MMMNo./hmNMMMMMNms--yMMMMMMMMMMMMMMMMMMMMMMy--smNMMMMMNmy/.oNMMM
[INFO]    MMMMMms:-:/+++/:-+hMMMMMMMMMMMMMMMMMMMMMMMMMNh+-:/+++/:-:smMMMMM
[INFO]    MMMMMMMMNdhhyhdmMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMmdhyhhmNMMMMMMMM
[INFO]    MMMMMMMMMMMMMMMNNNNNMMMMMMNNNNNNMMMMMMMMNNMMMMMMMNNMMMMMMMMMMMMM
[INFO]    MMMMMMMMMMMMMh/-...-+dMMMm......:+hMMMMs../MMMMMo..sMMMMMMMMMMMM
[INFO]    MMMMMMMMMMMM/  /yhy-  sMMm  -hhy/  :NMM+   oMMMy   /MMMMMMMMMMMM
[INFO]    MMMMMMMMMMMy  /MMMMN`  NMm  /MMMMo  +MM: .` yMd``` :MMMMMMMMMMMM
[INFO]    MMMMMMMMMMM+  sMMMMM:  hMm  /MMMMd  -MM- /s `h.`d- -MMMMMMMMMMMM
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[INFO]    ODM app finished - Wed Mar 09 15:34:28  2022
100 - done.
Compressing all.zip

Done!
pierotofy commented 2 years ago

Well, that's progress, at least it doesn't crash anymore. Thanks for trying the patch!