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91
General / Re: overexposed textures problem
« Last post by bassistas on May 16, 2022, 04:03:36 PM »
Hello bassistas,

What color range (bit depth) the input photos and laser scans have?

As for the blank spots, I would suggest to mask out no-data regions on the images related to the laser scans prior to the texture generation stage.

Hello, the jpegs are 8bit and the grayscale laser scans are 32bit. Could this be the problem? and what can I do?

I also tried to mask out the no-data regions from the laser scans and it solved the black hole issue but as this black area has the same height in the lower part of the image in all of my laser scans is it possible to mask out this automatically from all the scans with a script rather than doing it by hand for every single scan?

regards
92
Python and Java API / Re: import csv image in photoscan
« Last post by dpoursanidis on May 16, 2022, 03:57:21 PM »
Hello dpoursanidis,

regarding your parallel collection with RX100, does that mean that u are capturing both RGB Sony RX100 and Infrared Optris PI640 images on same platform?

If so what is the focal length of your RX100? If it is set at 10.4 mm then the following parameters would result from a capture at 65 m AGL with 80% front and 65% sise overlap for Infraredimagery see attachment...

As you can see the resulting GSD for the 2 sensors is very different (10.5 cm for Infrared Thermal vs 1.5 cm for Sony RGB sensor).  So it would make sense to process the 2 image sets in 2 different chunks and use the georeferenced RGB set to extract CPs to georeference the Thermal set...

Again if you can share a small sample with 2 sets of images (RGB and thermal) then we could have a look at it...


Thanks for that detailed insights and the calculations.

Here (ftp://ftp.iacm.forth.gr/incoming/DP/OPTRIS_SONY_TESTdata/) you can have access to geotagged imagery from both cameras.

The mission planning will be based on the parameters of the Thermal Camera, since we intend to collect data in cities (if and when we will have the permissions to operate) and create a complete 3D thermal cube for the selected areas.

Meanwhile, is the excel file available for reuse?
93
Python and Java API / Re: import csv image in photoscan
« Last post by dpoursanidis on May 16, 2022, 03:54:25 PM »
Hi,

i would try to set camera  focal to 60° x 45° FOV / f = 10,5 mm  in camera calibration window as well as pixel sixe to 0.017 mm

and see how alignment goes. using tif images...

If you have a small set to share we can look at best practice for alignment.

Hope this can get yu going,

Are these the only parameters we need for the reconstruction of the ortho? The rest of the calibration data how can influence the results?
94
General / Re: Top-Bottom Merge
« Last post by Alexey Pasumansky on May 16, 2022, 02:12:34 PM »
Hello temetofi,

I would suggest to check the following tutorials related to complete model reconstruction:
https://agisoft.freshdesk.com/support/solutions/articles/31000163388-automatic-masking-from-the-model
https://agisoft.freshdesk.com/support/solutions/articles/31000163268-turntable-capturing-scenario-and-processing-workflow

You should provide sufficient overlap, however, between the image sub-sets for more accurate processing results (for higher accuracy it is suggested to align all the images in the single chunk).
95
General / Re: overexposed textures problem
« Last post by Alexey Pasumansky on May 16, 2022, 02:08:45 PM »
Hello bassistas,

What color range (bit depth) the input photos and laser scans have?

As for the blank spots, I would suggest to mask out no-data regions on the images related to the laser scans prior to the texture generation stage.
96
Feature Requests / Re: Edit size of 'Show Cameras' rectangles
« Last post by nik_ska on May 16, 2022, 11:11:24 AM »
For some reason, Shift + Mousewheel stopped working for me on 1.8.2 while using metashape via Remote Desktop on macOS.
Other combinations do work.
97
General / Re: Dense points genereation from images that mounted on a car
« Last post by Kiesel on May 16, 2022, 09:46:34 AM »
Hi JyunPingJhan,

I think the camera you have choosen isn't the right one to get a good pavement inspection. You use only a very small part of your sensor for that (less than 50%?, most of the photo area is masked out) and additional the camera looks at a very low angle at the pavement, which isn't good for inspection too.
I would rather use a normal camera facing down to the street for that what you want to get. The camera needs to be mounted on a higher point for that. This way you don't have the problem with the unwanted pairs too.


Best regards,

Kiesel
98
General / Re: Colorization of a TLS point cloud with TIFF 32bits float
« Last post by Vincent28 on May 16, 2022, 09:33:32 AM »
Hello,

I would like to know if there are some news or solutions about this problem.

Best regards,
Vincent
99
General / Top-Bottom Merge
« Last post by temetofi on May 16, 2022, 07:44:46 AM »
As part of a project, we want to create a 3D model from images.

We took pictures of the top of an object, imported them in a chunk, created masks and aligned them. The same procedure was used for the bottom of the object. Then at least 3 identical points were searched for in both chunks (identical points were given the same name in both chunks). Then we set scale bars in both chunks. In the next step we wanted to merge the two chunks (+ markers). Unfortunately, merging the top and bottom does not always work. Can you help us with this?

Thanks in advance!

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100
Python and Java API / Re: import csv image in photoscan
« Last post by Paulo on May 16, 2022, 06:14:54 AM »
Hello dpoursanidis,

regarding your parallel collection with RX100, does that mean that u are capturing both RGB Sony RX100 and Infrared Optris PI640 images on same platform?

If so what is the focal length of your RX100? If it is set at 10.4 mm then the following parameters would result from a capture at 65 m AGL with 80% front and 65% sise overlap for Infraredimagery see attachment...

As you can see the resulting GSD for the 2 sensors is very different (10.5 cm for Infrared Thermal vs 1.5 cm for Sony RGB sensor).  So it would make sense to process the 2 image sets in 2 different chunks and use the georeferenced RGB set to extract CPs to georeference the Thermal set...

Again if you can share a small sample with 2 sets of images (RGB and thermal) then we could have a look at it...
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