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Topics - mpatalberta

Pages: [1]
1
General / how is the scale bar used on the image
« on: April 01, 2019, 04:23:22 PM »
Hello,

Can some one explain how the scale value is used when you have laid out 8 scale bars in the image?

Is the scale average applied as one number or only a local value?

Pat,

2
General / I have an intel NUC iCore 8 using Iris Intel Video
« on: March 22, 2019, 08:23:07 PM »
Hello,
How do I enable the GPU on an Intel NUC 8 ?
Thanks,
Patrick Brown

3
General / what do the red and blue marks mean for lens calibration
« on: March 16, 2019, 01:34:35 AM »
Hello,
I have run the agisoft lens calibration with the supplied agisoft checker board.
What does the red and blue marks mean on each of the camera checker box picture after lens calibration?
How can I see the affect of the lens calibration on the checker board images?
Thanks,
Patrick,

4
General / how come reuse depth map is always greyed out
« on: March 15, 2019, 09:07:43 PM »
Hello
What is the sequence in processing in the gui to enable reuse depth map.
Currently the option is greyed out.
I am using metashape 1.5

Pat.

5
General / depth maps used from sparse cloud to create dense cloud
« on: March 15, 2019, 12:22:25 AM »
Hello,

I am aligning to one set of pictures.

I then perform a change path for a different set of pictures that have the same name.

How are the depth maps used in this case.


Patrick

6
hello,

How do I change path to a currently loaded camera images?
I can see the feature in the GUI but I cannot find the equivalient in the Python Agisoft api.
I would appreciate some help on this.
Thanks,
Patrick

7
Hello,
Is the following runstream possible:


1 - align current pictures

2 - optimize cameras

3 - change pictures

4 - produce point cloud

Thanks,
Patrick

8
General / why is their very little filering in dense point cloud
« on: March 08, 2019, 01:41:49 AM »
Hello,
How come their is very little filtering in the dense point cloud generation?
The sparse point cloud has a series of filter such as minimum number of cameras per tie point.

Why would not also have these same filters in the dense point cloud generation?

Patrick

9
General / understanding sparse point cloud and dense point cloud
« on: March 06, 2019, 12:27:15 AM »
In agisoft you:
1- Load you picture
2- align picture ( result is a sparse point cloud
3- then generate a dense point cloud
Does agisoft use the sparse point cloud from align to generate the dense point cloud?
If I filter the sparse point cloud does affect the dense point cloud?
How does agisoft go from a few points in the sparse point cloud to the dense cloud ? Does the software interpolate the data?
Thanks,
Pat,

10
Is their a way to detect the number of cameras that made up a particular point.
Obviously you need at least 2 cameras for a point.
I want to remove all points from my data that had less than 3 cameras that made up the point.
Thanks,

11
I found the code that look like it exports the calibration  (is it correct )

import PhotoScan, so

doc = PhotoScan.app.document
export_dir  = PhotoScan.app.getExistingDirectory("Specify the export folder:")

for chunk in doc.chunks:
   for sensor in chunk.sensors:
      filename = "calib_chunk{0:03d}_sensor{0:02d}.txt".format(doc.chunks.index(chunk),chunk.sensors.index(sensor))
      if sensor.calibration:
         sensor.calibration.save(os.path.join(export_dir, filename), format = "australis")
print("Script finished")


How do I re import the calibration to get the same result?

Pat,

12
I want to align a group of cameras.
The location of each camera is known withing 1cm in world geometry.
When I have
1- loaded the cameras
2 - Loaded the calibration file with my world coordinates

I then run align.

I get a result that is about 2-4 cm in error

I run the software again suddenly I get a meter of error.

Can you please explain the behaviour?

Patrick

13

I found the code that look like it exports the calibration  (is it correct )

import PhotoScan, so

doc = PhotoScan.app.document
export_dir  = PhotoScan.app.getExistingDirectory("Specify the export folder:")

for chunk in doc.chunks:
   for sensor in chunk.sensors:
      filename = "calib_chunk{0:03d}_sensor{0:02d}.txt".format(doc.chunks.index(chunk),chunk.sensors.index(sensor))
      if sensor.calibration:
         sensor.calibration.save(os.path.join(export_dir, filename), format = "australis")
print("Script finished")


How do I re import the calibration to get the same result?

Pat,

14
I can get the following to work
import Metashape
doc = Metashape.app.document
chunk = doc.chunk
chunk.camera_location_accuracy = Metashape.Vector([0.001,0.001,0.001])

How do I get the actually accuracy values solved for after running the align command?

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