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cal_data.yaml
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cal_data.yaml
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data:
- image: images/0.png
pose: poses/0.yaml
- pose: poses/1.yaml
image: images/1.png
- pose: poses/2.yaml
image: images/2.png
- pose: poses/3.yaml
image: images/3.png
- image: images/4.png
pose: poses/4.yaml
- pose: poses/5.yaml
image: images/5.png
- image: images/6.png
pose: poses/6.yaml
- image: images/7.png
pose: poses/7.yaml
- image: images/8.png
pose: poses/8.yaml
- image: images/9.png
pose: poses/9.yaml
- image: images/10.png
pose: poses/10.yaml
- pose: poses/11.yaml
image: images/11.png
- image: images/12.png
pose: poses/12.yaml
- image: images/13.png
pose: poses/13.yaml
- image: images/14.png
pose: poses/14.yaml
- image: images/15.png
pose: poses/15.yaml
# AVT Mako Gig-E camera intrinsics (calibrated)
intrinsics:
fx: 1352.02747
fy: 1356.14287
cx: 789.67065
cy: 627.2995
# Pose guesses
camera_mount_to_camera_guess:
x: -0.019646
y: 1.27843
z: 0.283965
qx: -0.048080
qy: -0.558686
qz: 0.827604
qw: -0.025104
target_mount_to_target_guess:
x: 0.063314
y: 0.119958
z: 0.211056
qx: -0.633597
qy: 0.262427
qz: 0.664998
qw: 0.295794
# Other parameters
homography_threshold: 2.0
static_camera: true
# ChArUco grid target finder
target_finder:
type: CharucoGridTargetFinder
rows: 7
cols: 5
chessboard_dim: 0.036195
aruco_marker_dim: 0.018256
dictionary: 10 # DICT_6X6_250