adopt modelrevert tree as the new clearpilot baseline

Replaces clearpilot's working state wholesale with the modelrevert branch's
tree (modelrevert tip cea422b). Discards the parked-controlsd manager-process
split and the two session READMEs that documented it; keeps the simpler
in-process park short-circuits (controlsd state_control, plannerd, frogpilot_process)
and the cached-output decimation (modeld, dmonitoringmodeld) that achieve
the same goal with less moving parts. Also brings in the locationd GPS
ignore, the calibrationd valid=calStatus gate, and the model-revert lineage's
controlsd / paramsd / torqued / events.py / carstate.py / interfaces.py.

This is a single new commit on clearpilot (no merge), so the branch advances
linearly while the file state matches modelrevert exactly.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

selfdrive/modeld/dmonitoringmodeld.py

@@ -7,7 +7,7 @@ import ctypes
 import numpy as np
 from pathlib import Path
 
-from cereal import messaging
+from cereal import car, messaging
 from cereal.messaging import PubMaster, SubMaster
 from cereal.visionipc import VisionIpcClient, VisionStreamType, VisionBuf
 from openpilot.common.swaglog import cloudlog
@@ -128,10 +128,15 @@ def main():
   assert vipc_client.is_connected()
   cloudlog.warning(f"connected with buffer size: {vipc_client.buffer_len}")
 
-  sm = SubMaster(["liveCalibration"])
+  sm = SubMaster(["liveCalibration", "carState"])
   pm = PubMaster(["driverStateV2"])
 
   calib = np.zeros(CALIB_LEN, dtype=np.float32)
+  # CLEARPILOT: cache last model output to serve while gear is in park —
+  # mirrors the same trick modeld uses. Skips DSP inference on the driver
+  # camera when the car is stationary; downstream dmonitoringd still gets
+  # a fresh publish each frame.
+  last_model_output = None
   # last = 0
 
   while True:
@@ -143,8 +148,13 @@ def main():
     if sm.updated["liveCalibration"]:
       calib[:] = np.array(sm["liveCalibration"].rpyCalib)
 
+    parked = sm["carState"].gearShifter == car.CarState.GearShifter.park
     t1 = time.perf_counter()
-    model_output, dsp_execution_time = model.run(buf, calib)
+    if parked and last_model_output is not None:
+      model_output, dsp_execution_time = last_model_output
+    else:
+      model_output, dsp_execution_time = model.run(buf, calib)
+      last_model_output = (model_output, dsp_execution_time)
     t2 = time.perf_counter()
 
     pm.send("driverStateV2", get_driverstate_packet(model_output, vipc_client.frame_id, vipc_client.timestamp_sof, t2 - t1, dsp_execution_time))