Comments (5)
@mellinger I wonder if this software has issues with fisheye lenses.
We can help you run our calibration for your Insta360 Pro 2. From the looks of it all you'd need is an approximate radius from the center to one of the cameras, and using the specs on their website we can use RigSimulator
to generate a new rig JSON file: https://github.com/facebook/facebook360_dep/blob/master/source/rig/RigSimulator.cpp
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@mellinger Did you end up getting your Pro 2 calibrated? I'm trying to use the Calibration program from this project to get the calibrations, but the final error is always too high. @aparrapo do you have any recommendations for getting the error down? How close does the hardcoded rig need to be to the actual camera for the calibration to work?
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@mellinger if you upload your images and calibration output(s) I can take a look and see if I can find a reason :)
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Hi! Iām still here. @aparrapo I will upload this week, lmk if you want to take it over email.
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Hi @mellinger - I have the feeling the files will be too large for email. Can you upload them to Dropbox instead (the free version should give you more than enough storage if you don't already have an account). If not you can sill try email.
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Related Issues (20)
- cmakelists.txt missing find_package(zlib REQUIRED) HOT 36
- Docs: How is RGB-D data packed in result? HOT 7
- Can't load images via symbolic links? HOT 2
- The problem of too few panoramic camera matches HOT 1
- [Dockerfile] Eigen repository moved HOT 1
- Multiproccessing in resize.py hangs run.py HOT 1
- Application fails to launch: qt.qpa.xcb: could not connect to display :0
- There is a vulnerability in jQuery 1.7.2,upgrade recommended
- Docs: license of the example data HOT 3
- A redirection issue in the footer of facebook360_dep 's website
- Docs: A redirection issue in the footer of facebook360_dep 's documentation website
- Docs: Redirection Issue in a sub-component of a footer section
- Feature: Stripe among multiple machines in EC2
- Feature: Quick Stitch Option
- Extraneous "Connected/Authenticated" output on AWS Render HOT 1
- Feature: Semantic Segmentation in Masking
- Feature: Machine Learning Based Depth Estimation
- Feature: LiDAR Integration
- Tutorial link is 404: HOT 4
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