Process exited with code 1 - Agrowing data

Hello folks,

I am a new WebODM user, I have successfully processed a few jobs, however always using a external .txt file for geotag.

Now I am trying to process a sample dataset from Agrowing (, however I am getting the following error:

Process exited with code 1

[INFO] Initializing ODM - Mon Apr 12 21:40:21 2021
[INFO] ==============
[INFO] build_overviews: False
[INFO] camera_lens: auto
[INFO] cameras: {}
[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_report
[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_distance: 0
[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: 8000
[INFO] name: 6481220e-0fcd-4457-96b1-6329bfd02265
[INFO] optimize_disk_space: False
[INFO] orthophoto_compression: DEFLATE
[INFO] orthophoto_cutline: 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: False
[INFO] pc_filter: 2.5
[INFO] pc_las: False
[INFO] pc_quality: medium
[INFO] pc_rectify: False
[INFO] pc_sample: 0
[INFO] primary_band: auto
[INFO] project_path: /var/www/data
[INFO] radiometric_calibration: none
[INFO] rerun: None
[INFO] rerun_all: False
[INFO] rerun_from: None
[INFO] resize_to: 2048
[INFO] skip_3dmodel: False
[INFO] skip_band_alignment: 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_overlap: 150
[INFO] texturing_data_term: gmi
[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: /var/www/data/6481220e-0fcd-4457-96b1-6329bfd02265/images
[INFO] Loading 195 images
Traceback (most recent call last):
File “/code/”, line 69, in
File “/code/stages/”, line 83, in execute
File “/code/opendm/”, line 341, in run
self.process(self.args, outputs)
File “/code/stages/”, line 110, in process
p = types.ODM_Photo(f)
File “/code/opendm/”, line 79, in init
File “/code/opendm/”, line 123, in parse_exif_values
self.altitude = self.float_value(tags[‘GPS GPSAltitude’])
File “/code/opendm/”, line 333, in float_value
v = self.float_values(tag)
File “/code/opendm/”, line 328, in float_values
return [float(v.num) / float(v.den) if v.den != 0 else None for v in tag.values]
File “/code/opendm/”, line 328, in
return [float(v.num) / float(v.den) if v.den != 0 else None for v in tag.values]
AttributeError: ‘int’ object has no attribute ‘den’

So, I guess it’s related to the photo’s metadata, maybe a syntax error? Anyone here knows how to solve it, please?

Here is the data:

I got the same error for the “RG+N” and the “VIS_ColorAdjusted” sets.

Interesting, I’ve never seen images like these (Original dataset):

Do they combine two bands into a single image by stacking it vertically? And what’s with the horizontal vignetting? :slight_smile:

Aside from the bug you’re getting in parsing the EXIF tags (which I think is a simple fix), you will not be able to process these images as-is, because they are stacked in this manner.

1 Like

The RG+N ones look more promising. :slight_smile: I’ll try to take a look at them in the next few days.


It’s a very interesting concept they use, a single detector is used for two twin optical patches, latter the image is splited in two, cropped and aligned. There is no way to use the original dataset without this kind of pré-processing.

But, once we have the RG+N or any other separeted band, should be straigh forward.


My friend Ilija of KolariVision helped them develop that lens/filter array. Really cool to finally see the data from it in the wild!



Well done! Thanks for the help.

Will you share the project files, please? How do I update my installation with this new update?

Link to results:

./ update should do it, as soon as docker images have been updated (can take a few hours).


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