restore driving logic to pre-variable-fps baseline
Wholesale revert of driving-relevant files to the snapshot in /projects/openpilot/archive/clearpilot (HEAD 980f0aa). Goal: get known-good driving behavior back, then re-introduce optimizations slowly to track down a "feels like the wheel pulls right" regression. Files restored from baseline: - selfdrive/controls/controlsd.py - selfdrive/controls/lib/events.py - selfdrive/controls/lib/longitudinal_planner.py - selfdrive/modeld/modeld.py - selfdrive/modeld/dmonitoringmodeld.py - selfdrive/locationd/calibrationd.py - selfdrive/locationd/paramsd.py - selfdrive/locationd/torqued.py - selfdrive/car/interfaces.py - selfdrive/car/hyundai/carstate.py (CAN-FD telemetry preserved as a commented block for future re-enable) - selfdrive/monitoring/dmonitoringd.py - selfdrive/frogpilot/controls/frogpilot_planner.py - common/realtime.py Intentionally NOT restored (kept as current): - selfdrive/thermald/* (fan/power tuning kept) - selfdrive/car/hyundai/carcontroller.py + hyundaicanfd.py (perf-only hoist of no_lat_lane_change Params read; behavior-equivalent) - cereal/services.py, cereal/custom.capnp (additive only) - selfdrive/manager/*, common/params.cc (heavy ClearPilot infrastructure: bench mode, log dir, dashcamd, gpsd, params) - All selfdrive/ui/, selfdrive/clearpilot/, system/clearpilot/ UI features will be re-wired in a follow-up commit. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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@@ -128,14 +128,10 @@ def main():
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assert vipc_client.is_connected()
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cloudlog.warning(f"connected with buffer size: {vipc_client.buffer_len}")
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sm = SubMaster(["liveCalibration", "carState"])
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sm = SubMaster(["liveCalibration"])
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pm = PubMaster(["driverStateV2"])
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calib = np.zeros(CALIB_LEN, dtype=np.float32)
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# CLEARPILOT: cache last model output so we can republish (not re-infer) at standstill.
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# Saves ~7% CPU; downstream dmonitoringd sees a steady 10Hz stream with known-good
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# last readings (driver can't become distracted relative to a stopped car).
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last_model_output = None
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# last = 0
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while True:
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@@ -147,16 +143,8 @@ def main():
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if sm.updated["liveCalibration"]:
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calib[:] = np.array(sm["liveCalibration"].rpyCalib)
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standstill = sm["carState"].standstill
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t1 = time.perf_counter()
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if standstill and last_model_output is not None:
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# CLEARPILOT: reuse last inference at standstill
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model_output = last_model_output
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dsp_execution_time = 0.0
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else:
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model_output, dsp_execution_time = model.run(buf, calib)
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last_model_output = model_output
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model_output, dsp_execution_time = model.run(buf, calib)
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t2 = time.perf_counter()
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pm.send("driverStateV2", get_driverstate_packet(model_output, vipc_client.frame_id, vipc_client.timestamp_sof, t2 - t1, dsp_execution_time))
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