openpilot is an open source driver assistance system. openpilot performs the functions of Automated Lane Centering and Adaptive Cruise Control for over 200 supported car makes and models.
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#!/usr/bin/env python3
import time
import unittest
from collections import defaultdict
import cereal.messaging as messaging
from cereal import log
from cereal.services import service_list
from selfdrive.manager.process_config import managed_processes
from system.hardware import TICI
TEST_TIMESPAN = 30
LAG_FRAME_TOLERANCE = {log.FrameData.ImageSensor.ar0321: 0.5, # ARs use synced pulses for frame starts
log.FrameData.ImageSensor.ox03c10: 1.0} # OXs react to out-of-sync at next frame
CAMERAS = ('roadCameraState', 'driverCameraState', 'wideRoadCameraState')
class TestCamerad(unittest.TestCase):
@classmethod
def setUpClass(cls):
if not TICI:
raise unittest.SkipTest
# run camerad and record logs
managed_processes['camerad'].start()
time.sleep(3)
socks = {c: messaging.sub_sock(c, conflate=False, timeout=100) for c in CAMERAS}
cls.logs = defaultdict(list)
start_time = time.monotonic()
while time.monotonic()- start_time < TEST_TIMESPAN:
for cam, s in socks.items():
cls.logs[cam] += messaging.drain_sock(s)
time.sleep(0.2)
managed_processes['camerad'].stop()
cls.log_by_frame_id = defaultdict(list)
for cam, msgs in cls.logs.items():
expected_frames = service_list[cam].frequency * TEST_TIMESPAN
assert expected_frames*0.95 < len(msgs) < expected_frames*1.05, f"unexpected frame count {cam}: {expected_frames=}, got {len(msgs)}"
for m in msgs:
cls.log_by_frame_id[getattr(m, m.which()).frameId].append(m)
# strip beginning and end
for _ in range(3):
mn, mx = min(cls.log_by_frame_id.keys()), max(cls.log_by_frame_id.keys())
del cls.log_by_frame_id[mn]
del cls.log_by_frame_id[mx]
@classmethod
def tearDownClass(cls):
managed_processes['camerad'].stop()
def test_frame_skips(self):
skips = {}
frame_ids = self.log_by_frame_id.keys()
for frame_id in range(min(frame_ids), max(frame_ids)):
seen_cams = [msg.which() for msg in self.log_by_frame_id[frame_id]]
skip_cams = set(CAMERAS) - set(seen_cams)
if len(skip_cams):
skips[frame_id] = skip_cams
assert len(skips) == 0, f"Found frame skips, missing cameras for the following frames: {skips}"
def test_frame_sync(self):
sensor_type = [getattr(msgs[0], msgs[0].which()).sensor for frame_id, msgs in self.log_by_frame_id.items()][0].raw
frame_times = {frame_id: [getattr(m, m.which()).timestampSof for m in msgs] for frame_id, msgs in self.log_by_frame_id.items()}
diffs = {frame_id: (max(ts) - min(ts))/1e6 for frame_id, ts in frame_times.items()}
def get_desc(fid, diff):
cam_times = [(m.which(), getattr(m, m.which()).timestampSof/1e6) for m in self.log_by_frame_id[fid]]
return (diff, cam_times)
laggy_frames = {k: get_desc(k, v) for k, v in diffs.items() if v > LAG_FRAME_TOLERANCE[sensor_type]}
def in_tol(diff):
return 50 - LAG_FRAME_TOLERANCE[sensor_type] < diff and diff < 50 + LAG_FRAME_TOLERANCE[sensor_type]
if len(laggy_frames) != 0 and all( in_tol(laggy_frames[lf][0]) for lf in laggy_frames):
print("TODO: handle camera out of sync")
else:
assert len(laggy_frames) == 0, f"Frames not synced properly: {laggy_frames=}"
if __name__ == "__main__":
unittest.main()