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 subprocess
import time
import numpy as np
from PIL import Image
import cereal.messaging as messaging
from cereal.visionipc import VisionIpcClient, VisionStreamType
from common.params import Params
from common.realtime import DT_MDL
from selfdrive.hardware import PC
from selfdrive.controls.lib.alertmanager import set_offroad_alert
from selfdrive.manager.process_config import managed_processes
LM_THRESH = 120 # defined in selfdrive/camerad/imgproc/utils.h
VISION_STREAMS = {
"roadCameraState": VisionStreamType.VISION_STREAM_ROAD,
"driverCameraState": VisionStreamType.VISION_STREAM_DRIVER,
"wideRoadCameraState": VisionStreamType.VISION_STREAM_WIDE_ROAD,
}
def jpeg_write(fn, dat):
img = Image.fromarray(dat)
img.save(fn, "JPEG")
def yuv_to_rgb(y, u, v):
ul = np.repeat(np.repeat(u, 2).reshape(u.shape[0], y.shape[1]), 2, axis=0).reshape(y.shape)
vl = np.repeat(np.repeat(v, 2).reshape(v.shape[0], y.shape[1]), 2, axis=0).reshape(y.shape)
yuv = np.dstack((y, ul, vl)).astype(np.int16)
yuv[:, :, 1:] -= 128
m = np.array([
[1.00000, 1.00000, 1.00000],
[0.00000, -0.39465, 2.03211],
[1.13983, -0.58060, 0.00000],
])
rgb = np.dot(yuv, m)
return rgb.astype(np.uint8)
def extract_image(buf, w, h, stride, uv_offset):
y = np.array(buf[:uv_offset], dtype=np.uint8).reshape((-1, stride))[:h, :w]
u = np.array(buf[uv_offset::2], dtype=np.uint8).reshape((-1, stride//2))[:h//2, :w//2]
v = np.array(buf[uv_offset+1::2], dtype=np.uint8).reshape((-1, stride//2))[:h//2, :w//2]
return yuv_to_rgb(y, u, v)
def get_snapshots(frame="roadCameraState", front_frame="driverCameraState"):
sockets = [s for s in (frame, front_frame) if s is not None]
sm = messaging.SubMaster(sockets)
vipc_clients = {s: VisionIpcClient("camerad", VISION_STREAMS[s], True) for s in sockets}
# wait 4 sec from camerad startup for focus and exposure
while sm[sockets[0]].frameId < int(4. / DT_MDL):
sm.update()
for client in vipc_clients.values():
client.connect(True)
# grab images
rear, front = None, None
if frame is not None:
c = vipc_clients[frame]
rear = extract_image(c.recv(), c.width, c.height, c.stride, c.uv_offset)
if front_frame is not None:
c = vipc_clients[front_frame]
front = extract_image(c.recv(), c.width, c.height, c.stride, c.uv_offset)
return rear, front
def snapshot():
params = Params()
if (not params.get_bool("IsOffroad")) or params.get_bool("IsTakingSnapshot"):
print("Already taking snapshot")
return None, None
front_camera_allowed = params.get_bool("RecordFront")
params.put_bool("IsTakingSnapshot", True)
set_offroad_alert("Offroad_IsTakingSnapshot", True)
time.sleep(2.0) # Give thermald time to read the param, or if just started give camerad time to start
# Check if camerad is already started
try:
subprocess.check_call(["pgrep", "camerad"])
print("Camerad already running")
params.put_bool("IsTakingSnapshot", False)
params.delete("Offroad_IsTakingSnapshot")
return None, None
except subprocess.CalledProcessError:
pass
try:
# Allow testing on replay on PC
if not PC:
managed_processes['camerad'].start()
frame = "wideRoadCameraState"
front_frame = "driverCameraState" if front_camera_allowed else None
rear, front = get_snapshots(frame, front_frame)
finally:
managed_processes['camerad'].stop()
params.put_bool("IsTakingSnapshot", False)
set_offroad_alert("Offroad_IsTakingSnapshot", False)
if not front_camera_allowed:
front = None
return rear, front
if __name__ == "__main__":
pic, fpic = snapshot()
if pic is not None:
print(pic.shape)
jpeg_write("/tmp/back.jpg", pic)
if fpic is not None:
jpeg_write("/tmp/front.jpg", fpic)
else:
print("Error taking snapshot")