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 unittest
import numpy as np
import random
import cereal.messaging as messaging
from cereal.visionipc import VisionIpcServer, VisionStreamType
from openpilot.common.transformations.camera import DEVICE_CAMERAS
from openpilot.common.realtime import DT_MDL
from openpilot.selfdrive.car.car_helpers import write_car_param
from openpilot.selfdrive.manager.process_config import managed_processes
from openpilot.selfdrive.test.process_replay.vision_meta import meta_from_camera_state
CAM = DEVICE_CAMERAS[("tici", "ar0231")].fcam
IMG = np.zeros(int(CAM.width*CAM.height*(3/2)), dtype=np.uint8)
IMG_BYTES = IMG.flatten().tobytes()
class TestModeld(unittest.TestCase):
def setUp(self):
self.vipc_server = VisionIpcServer("camerad")
self.vipc_server.create_buffers(VisionStreamType.VISION_STREAM_ROAD, 40, False, CAM.width, CAM.height)
self.vipc_server.create_buffers(VisionStreamType.VISION_STREAM_DRIVER, 40, False, CAM.width, CAM.height)
self.vipc_server.create_buffers(VisionStreamType.VISION_STREAM_WIDE_ROAD, 40, False, CAM.width, CAM.height)
self.vipc_server.start_listener()
write_car_param()
self.sm = messaging.SubMaster(['modelV2', 'cameraOdometry'])
self.pm = messaging.PubMaster(['roadCameraState', 'wideRoadCameraState', 'liveCalibration'])
managed_processes['modeld'].start()
self.pm.wait_for_readers_to_update("roadCameraState", 10)
def tearDown(self):
managed_processes['modeld'].stop()
del self.vipc_server
def _send_frames(self, frame_id, cams=None):
if cams is None:
cams = ('roadCameraState', 'wideRoadCameraState')
cs = None
for cam in cams:
msg = messaging.new_message(cam)
cs = getattr(msg, cam)
cs.frameId = frame_id
cs.timestampSof = int((frame_id * DT_MDL) * 1e9)
cs.timestampEof = int(cs.timestampSof + (DT_MDL * 1e9))
cam_meta = meta_from_camera_state(cam)
self.pm.send(msg.which(), msg)
self.vipc_server.send(cam_meta.stream, IMG_BYTES, cs.frameId,
cs.timestampSof, cs.timestampEof)
return cs
def _wait(self):
self.sm.update(5000)
if self.sm['modelV2'].frameId != self.sm['cameraOdometry'].frameId:
self.sm.update(1000)
def test_modeld(self):
for n in range(1, 500):
cs = self._send_frames(n)
self._wait()
mdl = self.sm['modelV2']
self.assertEqual(mdl.frameId, n)
self.assertEqual(mdl.frameIdExtra, n)
self.assertEqual(mdl.timestampEof, cs.timestampEof)
self.assertEqual(mdl.frameAge, 0)
self.assertEqual(mdl.frameDropPerc, 0)
odo = self.sm['cameraOdometry']
self.assertEqual(odo.frameId, n)
self.assertEqual(odo.timestampEof, cs.timestampEof)
def test_dropped_frames(self):
"""
modeld should only run on consecutive road frames
"""
frame_id = -1
road_frames = list()
for n in range(1, 50):
if (random.random() < 0.1) and n > 3:
cams = random.choice([(), ('wideRoadCameraState', )])
self._send_frames(n, cams)
else:
self._send_frames(n)
road_frames.append(n)
self._wait()
if len(road_frames) < 3 or road_frames[-1] - road_frames[-2] == 1:
frame_id = road_frames[-1]
mdl = self.sm['modelV2']
odo = self.sm['cameraOdometry']
self.assertEqual(mdl.frameId, frame_id)
self.assertEqual(mdl.frameIdExtra, frame_id)
self.assertEqual(odo.frameId, frame_id)
if n != frame_id:
self.assertFalse(self.sm.updated['modelV2'])
self.assertFalse(self.sm.updated['cameraOdometry'])
if __name__ == "__main__":
unittest.main()