Scaling using stereo cameras

[ahg95]

I'm trying to figure out a way to scale models using the distance between stereo cameras. These cameras would be spaced 1 meter apart and each pair of photographs would be labeled as right1.jpeg and left1.jpeg sequentially. I had found a script written for something similar on the forum here https://www.agisoft.com/forum/index.php?topic=9016.0 but it seems to be out of date and I'm not too familiar with python. Any advice would be great!

[Paulo]

Hi ahg,

the following code would work perfectly, if your images are named as left_XXX and right_XXX with XXX being a secuential number:

Code: [Select]

import Metashape
chunk = Metashape.app.document.chunk
cameras = [camera for camera in chunk.cameras if camera.type == Metashape.Camera.Type.Regular]
while cameras:
    camera1 = cameras.pop(0)
    for camera2 in cameras:
        if camera1.label.rsplit("_", 1)[1] == camera2.label.rsplit("_", 1)[1]:
            cameras.remove(camera2)
            scalebar = chunk.addScalebar(camera1, camera2)
            scalebar.reference.distance = 1
            break
print("script finished")
Now if you do not have a Underscore between left/right and number then you would need to modify code with something like

if camera1.label[0] == "l":
    label1 = camera1.label.lstrip('left')
else:
    label1 = camera1.label.lstrip('right')

do the same defining label2 for camera2 inside loop and finally test

        if label1 == label2:

Maybe this can send you a good path!

[3dMB Ltd]

**Update on this - the script works fine on Mac OS - the issue persists with Windows 11**

This script has always done me well, however my most recent dataset has started throwing errors. I have rolled back to different versions of Metashape and the issue persists. I have also tried the script on a dataset it has previously worked on, it fails also.

The console says the following in Red"
2025-01-13 21:15:28   File "<console>", line 1
2025-01-13 21:15:28     import Metashape
chunk = Metashape.app.document.chunk
cameras = [camera for camera in chunk.cameras if camera.type == Metashape.Camera.Type.Regular]
while cameras:
    camera1 = cameras.pop(0)
    for camera2 in cameras:
        if camera1.label.rsplit("_", 1)[1] == camera2.label.rsplit("_", 1)[1]:
            cameras.remove(camera2)
            scalebar = chunk.addScalebar(camera1, camera2)
            scalebar.reference.distance = 0.14
            break
print("script finished")
2025-01-13 21:15:28                     ^
2025-01-13 21:15:28 SyntaxError: invalid non-printable character U+2029
>>>