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cal_data.yaml
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cal_data.yaml
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data:
- pose: poses/0.yaml
image: images/0.png
- pose: poses/1.yaml
image: images/1.png
- pose: poses/10.yaml
image: images/10.png
- pose: poses/11.yaml
image: images/11.png
- pose: poses/12.yaml
image: images/12.png
- pose: poses/13.yaml
image: images/13.png
- pose: poses/14.yaml
image: images/14.png
- pose: poses/2.yaml
image: images/2.png
- pose: poses/3.yaml
image: images/3.png
- pose: poses/4.yaml
image: images/4.png
- pose: poses/5.yaml
image: images/5.png
- pose: poses/6.yaml
image: images/6.png
- pose: poses/7.yaml
image: images/7.png
- pose: poses/8.yaml
image: images/8.png
- pose: poses/9.yaml
image: images/9.png
# Nominal Kinect sensor camera intrinsic parameters
intrinsics:
fx: 550.0 # pixels
fy: 550.0 # pixels
cx: 320.0
cy: 240.0
# Pose guesses
camera_mount_to_camera_guess:
x: 0.0 # Note: Until I fix this YOU NEED to make this a DOUBLE! Don't write just '0'.
y: 0.0
z: 0.0
qx: 0.0
qy: 0.0
qz: -0.707107
qw: 0.707107
target_mount_to_target_guess:
x: 1.0
y: 0.0
z: 0.0
qx: 0.0
qy: 0.0
qz: -0.707107
qw: 0.707107
# 10x10 modified circle grid target finder
target_finder:
type: ModifiedCircleGridTargetFinder
rows: 10
cols: 10
spacing: 0.0254 # (meters between dot centers)
circle_detector_params:
minThreshold: 20
maxThreshold: 220
nThresholds: 20
minRepeatability: 3
circleInclusionRadius: 5
maxRadiusDiff: 5
maxAverageEllipseError: 0.02
filterByColor: true
circleColor: 0
filterByArea: true
minArea: 25.0
maxArea: 5000.0
filterByCircularity: false
minCircularity: 0.8
maxCircularity: 99999999.0
filterByInertia: false
minInertiaRatio: 0.1
maxInertiaRatio: 99999999.0
filterByConvexity: true
minConvexity: 0.95
maxConvexity: 99999999.0
# Other parameters
homography_threshold: 1.0
static_camera: false