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#XRForm
Used for
XR - Calibration procedures
Calibrate your XR Studio
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Latency Tab
1)
Viewport
: Display the stream of the
XR Calibrator
A specific tool for XR calibration
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's
Video Input
Extract the image from a Video Input Device
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2)
Tracker informations
: Display the current position orientation of the
Tracker
a Tracker represent a real tracker and is part of a Tracking System
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of the
Physical Camera
A camera that simulate a real-one
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such as the deviation. A positive value of Position Deviation and Orientation Deviation means that your tracker is currently moving.
3)
Added delay
: (Frame) delay applied for every screen in result of the
XR-Latency Calibration
Automatically evaluate the amount of frame delay between sending a picture to the stage and receiving it back through the camera.
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4)
Delay in frames
: (Frame) delay calculated by the algorithm
5)
Delay Mean
: (ms) Average time between the emission of a white content and its reception
6)
Delay Standard Deviation
: actual difference between the delay mean (which is an average) and the actual time between emission and reception
Learn more about
XR-Latency Calibration
Automatically evaluate the amount of frame delay between sending a picture to the stage and receiving it back through the camera.
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Geometry Tab
1)
Viewport
: Display the stream of the
XR Calibrator
A specific tool for XR calibration
Read More
Video Input
Extract the image from a Video Input Device
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2)
Enable Detector
: Enable the detection of
April Tag
Generate an April Tag
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and display helpers in the viewport.
3)
Detection count
: Number of
April Tag
Generate an April Tag
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detected. (result of the
April Tag detector modifier
Detect all the April Tag in frame
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)
4)
Tracker informations
: Display the current position orientation of the
Tracker
a Tracker represent a real tracker and is part of a Tracking System
Read More
of the
Physical Camera
A camera that simulate a real-one
Read More
such as the deviation. A positive value of Position Deviation and Orientation Deviation means that your tracker is currently moving.
5)
Send Locators
: Display a
April Tag Grid
Generate a grid of April Tag
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in each Led screen.
6)
Store Single Frame
: Trigger to store a frame for calibration
7)
List of single frames
: Every single frame appears in that list
8)
Single frame information:
Display the number of
April Tag
Generate an April Tag
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detected for each screen and the pixel gap between their position in the video input stream and the stage simulation.
9)
Evaluate
: Make an average evaluation of the pixel gap
10)
Calibrate
: Start a calibration.
11)
Console output
12)
Save as Calibration State
: Save the calibration results as a calibration state.
13)
Calibration States list
: Every calibration results can be called back as states. They appear in that list.
Learn more about
XR-Geometry Calibration
Lets Smode know the position of cameras and Led Screens in the real world
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Color Tab
1)
Viewport
: Display the stream of the
XR Calibrator
A specific tool for XR calibration
Read More
Video Input
Extract the image from a Video Input Device
Read More
2)
Enable Detector
: Enable the detection of
April Tag
Generate an April Tag
Read More
and display helpers in the viewport.
3)
Detection count
: Number of
April Tag
Generate an April Tag
Read More
detected. (result of the
April Tag detector modifier
Detect all the April Tag in frame
Read More
4)
Tracker informations
: Display the current position orientation of the
Tracker
a Tracker represent a real tracker and is part of a Tracking System
Read More
of the
Physical Camera
A camera that simulate a real-one
Read More
such as the deviation. A positive value of Position Deviation and Orientation Deviation means that your tracker is currently moving.
5)
Send Locators
: Display a
April Tag Grid
Generate a grid of April Tag
Read More
in each Led screens.
6)
Shoot viewpoint
: Start the shoot of a viewpoint for calibration
7)
List of viewpoints
: Every viewpoint appears in that list
8)
ViewPoints information:
Display the number of
April Tag
Generate an April Tag
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detected for each screen and the pixel gap between their position in the video input stream and the stage simulation.
9)
Evaluate
: Make an average evaluation of the differences of colors between Emitted colors and Recevied colors
10)
Calibrate
: Start a calibration. Calculation depends on the number of viewpoints shooted.
11)
Console output
12)
Save as Calibration State
: Save the calibration results as a calibration state.
13)
Calibration States list
: Every calibration results can be called back as states. They appear in that list.
Learn more about
XR-Color Calibration
Blend perfectly the walls colors with the virtual surrounding.
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