camera_calibration | Accurate geometric camera calibration with generic camera | Camera library

 by   puzzlepaint C++ Version: Current License: BSD-3-Clause

kandi X-RAY | camera_calibration Summary

kandi X-RAY | camera_calibration Summary

camera_calibration is a C++ library typically used in Video, Camera applications. camera_calibration has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Accurate geometric camera calibration with generic camera models
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            kandi-support Support

              camera_calibration has a low active ecosystem.
              It has 387 star(s) with 58 fork(s). There are 22 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 17 open issues and 26 have been closed. On average issues are closed in 33 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of camera_calibration is current.

            kandi-Quality Quality

              camera_calibration has 0 bugs and 0 code smells.

            kandi-Security Security

              camera_calibration has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              camera_calibration code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              camera_calibration is licensed under the BSD-3-Clause License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              camera_calibration releases are not available. You will need to build from source code and install.

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            camera_calibration Key Features

            No Key Features are available at this moment for camera_calibration.

            camera_calibration Examples and Code Snippets

            Process an exception raised by spider middleware .
            pythondot img1Lines of Code : 7dot img1License : Permissive (MIT License)
            copy iconCopy
            def process_spider_exception(response, exception, spider):
                    # Called when a spider or process_spider_input() method
                    # (from other spider middleware) raises an exception.
            
                    # Should return either None or an iterable of Response,   
            Process spider output .
            pythondot img2Lines of Code : 7dot img2License : Permissive (MIT License)
            copy iconCopy
            def process_spider_output(response, result, spider):
                    # Called with the results returned from the Spider, after
                    # it has processed the response.
            
                    # Must return an iterable of Request, dict or Item objects.
                    for i in resu  
            Create a spider from a given crawler .
            pythondot img3Lines of Code : 5dot img3License : Permissive (MIT License)
            copy iconCopy
            def from_crawler(cls, crawler):
                    # This method is used by Scrapy to create your spiders.
                    s = cls()
                    crawler.signals.connect(s.spider_opened, signal=signals.spider_opened)
                    return s  

            Community Discussions

            QUESTION

            Will bad camera calibration affect pixel coordinates?
            Asked 2022-Jan-21 at 23:46

            I am working with Turtlebots and ROS, and using a camera to find the pixel positions of a marker in the camera. I've moved over from simulations to a physical system. The issue I'm having is that the pixel positions in my physical system did not match the pixel positions in the physical system despite the marker and everything else being in the same position as in the simulations. There was a shift in the vertical pixel position by about 40 pixels when everything else like the height between the camera and marker, the marker position, and the distance between the marker and camera were the same in both the physical and simulated system. The simulated system does not need a camera calibration matrix, it is assumed to be ideal.

            The resolution I'm using is 640x480, so the center pixels should be cx=320 and cy=240, but what I noticed in the camera calibration matrix I was using in the physical system was that the cx was around 318, which is pretty accurate, but the cy was around 202, which is far from what it should be. This also made me think that the shift in pixel positions in the vertical direction is shifted with about the same amount of pixels that I'm getting as an error.

            So is it right to assume that the error in the center pixel in the calibration could be causing the error in the pixel positions?

            I have been trying to calibrate a USB camera (Logitech C920 I think) and I've been using the camera_calibrator ROS package found here http://wiki.ros.org/camera_calibration to calibrate the camera. I think the camera calibration did not go that well, seeing as I always have a pretty big error in either cx or cy. Here are the calibration matrices.

            First calibration matrix, used 15x10 vertices with size 0.25

            Recalibrated but did not actually use this yet, calibrated with 8x6 size 0.25

            Same as previous, some difference between the two

            The checkerboards were on A4 papers.

            Thanks in advance.

            ...

            ANSWER

            Answered 2022-Jan-21 at 23:46

            I believe the answer to your question is to answer how to perform a better camera calibration.

            Quoting from Calib.io enter link description here:

            • Choose the right size calibration target.
            • Perform calibration at the approximate working distance (WD) of your final application.
            • The target should have a high feature count.
            • Collect images from different areas and tilts.
            • Use good lighting.
            • Calibration is only as accurate as the calibration target used. Use laser or inkjet printed targets only to validate and test.
            • Per sample, proper mounting of calibration target and camera.
            • Remove bad observations. Carefully inspect reprojection errors.
            • Obtaining a low re-projection error does not equal a good camera calibration. Be careful of over fitting.

            Source https://stackoverflow.com/questions/70807609

            QUESTION

            ROS Camera Calibrator Errors Out
            Asked 2021-Feb-14 at 18:47

            I have ROS installed on a Ubuntu 20.04 running ros_core and a Raspberry Pi running a camera node. I tried to run rosrun camera_calibration cameracalibrator.py --size 8x6 --square 0.108 image:=/cv_camera/image camera:=/cv_camera I get the following error:

            ...

            ANSWER

            Answered 2021-Feb-14 at 18:47

            You have to find the calibrator file which is under /opt/ros/noetic/lib/camera_calibration/cameracalibrator.py and then run it manually.

            Source https://stackoverflow.com/questions/66079083

            QUESTION

            How to link against libGL on OSX using cmake?
            Asked 2020-Sep-15 at 22:11

            I'm trying to compile camera_calibration on OSX 10.11 and after a few hurdles with a few X11 related dependencies I find myself still stuck with a few linking errors:

            ...

            ANSWER

            Answered 2020-Sep-15 at 22:11

            On macOS do not(!) develop against X11 / GLX. They are not natively supported! The X11 server for macOS supports only indirect GLX with limited functionality. You will get only sub par performance. And CUDA (used by libvis) is not supported.

            On macOS all OpenGL development should use the native OpenGL framework: https://developer.apple.com/library/archive/documentation/GraphicsImaging/Conceptual/OpenGL-MacProgGuide/opengl_contexts/opengl_contexts.html

            However take note that OpenGL has been declared deprecated by Apple.

            In short: You'll at least have to modify your program to use the macOS OpenGL framework, or even bite the bullet and accept that macOS is not a well supported platform for your application.

            Source https://stackoverflow.com/questions/63731301

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install camera_calibration

            You can download it from GitHub.

            Support

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            gh repo clone puzzlepaint/camera_calibration

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            git@github.com:puzzlepaint/camera_calibration.git

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