Fix Valve Index rt8 yaml calibration file

The calibration.rt8.json is the correct calibration.
The yaml file was updated to match it, the previous version came
from an incorrect calibration file.

M_monado_datasets/MI_valve_index/extras/calibration.rt8.yaml

@@ -1,23 +1,23 @@
 cameras:
-  - T_SC: [0.015499520450221071, 0.9998798559060368, 0.0001965175227435778, 0.06917789156550716,
-      -0.9969334637731943, 0.01543876948824141, 0.07671579502208402, 0.12085668743462545,
-      0.07670354408366437, -0.001384972928440642, 0.9970529816288567, 0.012667308040189403,
+  - T_SC: [0.01578079069585575, 0.9998749932305361, 0.0009821187551574753, 0.06891723980288252,
+      -0.9969556131278782, 0.015659688788235038, 0.07638245610002425, 0.1194375162243693,
+      0.07635752810188462, -0.0021845043582622847, 0.9970781091985115, 0.010620914860482425,
       0.0, 0.0, 0.0, 1.0] # T_imu_cam, i.e., transforms a point in camera space into IMU space
-    distortion_coefficients: [0.00033910941623906436, 0.0016526977059368436, 2.0382438109564118e-07,
-      -1.9941820902364245e-07, 4.7690647490781044e-08, 0.08285582144993399, 0.007074083130056834,
-      1.2021299767958244e-05] # k1, k2, p1, p2, k3, k4, k5, k6
+    distortion_coefficients: [20.391491525855695, 13.296376109798059, 3.3499524495992367e-06,
+      -0.00016905320907310926, 1.2827871067810053, 20.58288546853957, 15.718842380446702,
+      4.57076872023613] # k1, k2, p1, p2, k3, k4, k5, k6
     distortion_type: radialtangential8 # Same as opencv's default model
-    focal_length: [420.52740656467927, 420.668449021409] # fx, fy
+    focal_length: [420.87543153743377, 420.98111734621693] # fx, fy
     image_dimension: [960, 960] # width, height
-    principal_point: [469.48259744072743, 479.1369038467134] # cx, cy
-  - T_SC: [0.021535931033980826, 0.9995998465532432, 0.018339859465996557, 0.06906817063497311,
-      -0.9968529688349355, 0.02286934463860607, -0.07590225030113408, -0.012925461789829002,
-      -0.07629129832081094, -0.016647517728884998, 0.9969465873124757, 0.013021838608092437,
+    principal_point: [469.280769336615, 479.1008669368344] # cx, cy
+  - T_SC: [0.021815299919617226, 0.9995824669291672, 0.018946886214303387, 0.06878929687462956,
+      -0.9967955295565468, 0.023205500609482843, -0.07655179290876915, -0.014242597915617126,
+      -0.076959501983192, -0.01721617115574495, 0.9968855694136793, 0.010952250701108236,
       0.0, 0.0, 0.0, 1.0]
-    distortion_coefficients: [0.00010833706764279817, 0.0020852934669309585, 2.732762364402409e-07,
-      -2.7121692029207587e-07, 8.00967425983354e-08, 0.08086045956434132, 0.008319953204836639,
-      1.5525470378559292e-05]
+    distortion_coefficients: [12.083665279916433, 8.328063289692405, 0.00013706577524923318,
+      0.00047216337967221625, 0.7803475118448734, 12.236473503288277, 9.749696702702666,
+      2.7934480578433702]
     distortion_type: radialtangential8
-    focal_length: [421.23561386503076, 421.4668948188076]
+    focal_length: [421.13049451321916, 421.1811382629241]
     image_dimension: [960, 960]
-    principal_point: [467.746800268133, 484.4807401358835]
+    principal_point: [467.3993617404934, 484.2058878943831]