Topics

1

Python and Java API / Metashape External Orientation instead of Aerial Triangulation for selected imag

« on: May 18, 2021, 01:52:33 AM »

I'm curious if there is a way to force the position of selected images that do not align? An example of this would be images over water in a large project.  In this particular use case, I have a camera system with very good positions but average orientation however, because its over water, I'm less concerned, I just want to create an ortho without a hole without having to go to photoshop.  In the past, for a precise full INS LiDAR/Camera system, I've used the attached script and it has worked well. Can it be modified to only iterate through selected images or images that are not currently aligned? I'm not sure what variables I can use to separate for the iteration.

Code: [Select]

import Metashape

chunk = Metashape.app.document.chunk
crs = chunk.crs
T = chunk.transform.matrix

origin = None
for camera in chunk.cameras:
if not camera.type == Metashape.Camera.Type.Regular:
continue
if not camera.reference.location:
continue
if not camera.reference.rotation:
continue

pos = crs.unproject(camera.reference.location)
m = crs.localframe(pos)
rot = Metashape.utils.ypr2mat(camera.reference.rotation) * Metashape.Matrix().Diag([1, -1, -1])
R = Metashape.Matrix().Translation(pos) * Metashape.Matrix().Rotation(m.rotation().t() * rot)

if not origin:
origin = pos
chunk.transform.matrix = Metashape.Matrix().Translation(origin)
T = chunk.transform.matrix

camera.transform = T.inv() * R
chunk.updateTransform()
Thank you in advance for your help.

2

Python and Java API / Custom reprojections for point clouds, DEMs, and Orthos

« on: May 07, 2021, 11:49:49 PM »

Hello, I made a set of tools that allows me to scale, translate, and rotate my camera positions for localized survey projects. I want to know if I can do the same to the finalized ortho, point cloud, and DEM? sometimes projects need deliverables in both grid and ground coordinates. If possible, I would prefer to process my projects in grid coordinates and then convert the products (point clouds, DEMs, and orthos) to ground coordinates. This way I can have two sets in both projections.  I looked through the API documentation but I was unable to clearly identify methods to do these types of transformations. If you could point me in the right direction to the methods in the API documentation for each deliverable or have some examples, that would be great.
Thank you

3

Feature Requests / Google Earth Flight path export

« on: January 11, 2019, 09:53:38 PM »

I'd like to request the ability to export a KML or KMZ that contains the image photo centers as a point feature with the image name as well as the projected footprints on the ground as a polygon also with the image name once you have finished processing a surface. This is very helpful for our business and is very common for our large format camera systems. additional bonus that would be great is further metadata for each image containing coordinates both projected and geographic and orientation information and EXIF information.

Thanks in advance.

4

Feature Requests / Modify EXIF data based on bundle adjustment results

« on: March 30, 2016, 10:51:20 PM »

I think it would be beneficial to modify the EXIF data of the input images once the bundle adjustment is complete. This would allow you to use the raw frames in different applications.