Author Topic: Scaling using stereo cameras  (Read 2086 times)


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Scaling using stereo cameras
« on: March 23, 2021, 06:58:21 PM »
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 I had found a script written for something similar on the forum here but it seems to be out of date and I'm not too familiar with python. Any advice would be great!


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Re: Scaling using stereo cameras
« Reply #1 on: March 23, 2021, 10:48:23 PM »
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 =
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]:
            scalebar = chunk.addScalebar(camera1, camera2)
            scalebar.reference.distance = 1
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')
    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!
« Last Edit: March 24, 2021, 12:25:15 PM by Paulo »
Best Regards,
Paul Pelletier,