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131 lines
4.3 KiB
131 lines
4.3 KiB
#!/usr/bin/env python3
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import time
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import unittest
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import numpy as np
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import cereal.messaging as messaging
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from selfdrive.test.helpers import with_processes
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from selfdrive.camerad.snapshot.snapshot import get_snapshots
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# only tests for EON and TICI
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from selfdrive.hardware import EON, TICI
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TEST_TIMESPAN = 30 # random.randint(60, 180) # seconds
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SKIP_FRAME_TOLERANCE = 0
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LAG_FRAME_TOLERANCE = 2 # ms
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FPS_BASELINE = 20
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CAMERAS = {
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"frame": FPS_BASELINE,
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"frontFrame": FPS_BASELINE // 2,
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}
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if TICI:
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CAMERAS["frontFrame"] = FPS_BASELINE
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CAMERAS["wideFrame"] = FPS_BASELINE
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class TestCamerad(unittest.TestCase):
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@classmethod
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def setUpClass(cls):
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if not (EON or TICI):
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raise unittest.SkipTest
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# assert "SEND_REAR" in os.environ
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# assert "SEND_FRONT" in os.environ
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def _numpy_bgr2gray(self, im):
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ret = np.clip(im[:,:,0] * 0.114 + im[:,:,1] * 0.587 + im[:,:,2] * 0.299, 0, 255).astype(np.uint8)
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return ret
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def _numpy_lap(self, im):
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ret = np.zeros(im.shape)
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ret += -4 * im
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ret += np.concatenate([np.zeros((im.shape[0],1)),im[:,:-1]], axis=1)
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ret += np.concatenate([im[:,1:],np.zeros((im.shape[0],1))], axis=1)
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ret += np.concatenate([np.zeros((1,im.shape[1])),im[:-1,:]], axis=0)
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ret += np.concatenate([im[1:,:],np.zeros((1,im.shape[1]))], axis=0)
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ret = np.clip(ret, 0, 255).astype(np.uint8)
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return ret
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def _is_really_sharp(self, i, threshold=800, roi_max=np.array([8,6]), roi_xxyy=np.array([1,6,2,3])):
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i = self._numpy_bgr2gray(i)
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x_pitch = i.shape[1] // roi_max[0]
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y_pitch = i.shape[0] // roi_max[1]
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lap = self._numpy_lap(i)
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lap_map = np.zeros((roi_max[1], roi_max[0]))
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for r in range(lap_map.shape[0]):
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for c in range(lap_map.shape[1]):
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selected_lap = lap[r*y_pitch:(r+1)*y_pitch, c*x_pitch:(c+1)*x_pitch]
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lap_map[r][c] = 5*selected_lap.var() + selected_lap.max()
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print(lap_map[roi_xxyy[2]:roi_xxyy[3]+1,roi_xxyy[0]:roi_xxyy[1]+1])
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if (lap_map[roi_xxyy[2]:roi_xxyy[3]+1,roi_xxyy[0]:roi_xxyy[1]+1] > threshold).sum() > \
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(roi_xxyy[1]+1-roi_xxyy[0]) * (roi_xxyy[3]+1-roi_xxyy[2]) * 0.9:
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return True
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else:
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return False
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def _is_exposure_okay(self, i, med_ex=np.array([0.2,0.4]), mean_ex=np.array([0.2,0.6])):
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i = self._numpy_bgr2gray(i)
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i_median = np.median(i) / 256
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i_mean = np.mean(i) / 256
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print([i_median, i_mean])
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return med_ex[0] < i_median < med_ex[1] and mean_ex[0] < i_mean < mean_ex[1]
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@unittest.skip # skip for now
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@with_processes(['camerad'])
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def test_camera_operation(self):
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print("checking image outputs")
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if EON:
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# run checks similar to prov
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time.sleep(15) # wait for startup and AF
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pic, fpic = get_snapshots()
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self.assertTrue(self._is_really_sharp(pic))
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self.assertTrue(self._is_exposure_okay(pic))
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self.assertTrue(self._is_exposure_okay(fpic))
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time.sleep(30)
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# check again for consistency
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pic, fpic = get_snapshots()
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self.assertTrue(self._is_really_sharp(pic))
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self.assertTrue(self._is_exposure_okay(pic))
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self.assertTrue(self._is_exposure_okay(fpic))
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elif TICI:
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raise unittest.SkipTest # TBD
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else:
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raise unittest.SkipTest
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@with_processes(['camerad'])
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def test_frame_packets(self):
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print("checking frame pkts continuity")
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print(TEST_TIMESPAN)
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sm = messaging.SubMaster([socket_name for socket_name in CAMERAS])
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last_frame_id = dict.fromkeys(CAMERAS, None)
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last_ts = dict.fromkeys(CAMERAS, None)
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start_time_sec = time.time()
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while time.time()- start_time_sec < TEST_TIMESPAN:
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sm.update()
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for camera in CAMERAS:
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if sm.updated[camera]:
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ct = (sm[camera].timestampEof if not TICI else sm[camera].timestampSof) / 1e6
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if last_frame_id[camera] is None:
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last_frame_id[camera] = sm[camera].frameId
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last_ts[camera] = ct
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continue
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dfid = sm[camera].frameId - last_frame_id[camera]
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self.assertTrue(abs(dfid - 1) <= SKIP_FRAME_TOLERANCE, "%s frame id diff is %d" % (camera, dfid))
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dts = ct - last_ts[camera]
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self.assertTrue(abs(dts - (1000/CAMERAS[camera])) < LAG_FRAME_TOLERANCE, "%s frame t(ms) diff is %f" % (camera, dts))
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last_frame_id[camera] = sm[camera].frameId
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last_ts[camera] = ct
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time.sleep(0.01)
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if __name__ == "__main__":
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unittest.main()
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