Files
onepilot/tools/replay/ui.py
github-actions[bot] 7fa972be6a sunnypilot v2026.02.09-4080
version: sunnypilot v2025.003.000 (dev)
date: 2026-02-09T02:04:38
master commit: 254f55ac15a40343d7255f2f098de3442e0c4a6f
2026-02-09 02:04:38 +00:00

280 lines
10 KiB
Python
Executable File

#!/usr/bin/env python3
import argparse
import os
import sys
import cv2
import numpy as np
import pyray as rl
import cereal.messaging as messaging
from openpilot.common.basedir import BASEDIR
from openpilot.common.transformations.camera import DEVICE_CAMERAS
from openpilot.tools.replay.lib.ui_helpers import (
UP,
BLACK,
GREEN,
YELLOW,
Calibration,
get_blank_lid_overlay,
init_plots,
maybe_update_radar_points,
plot_lead,
plot_model,
)
from msgq.visionipc import VisionIpcClient, VisionStreamType
os.environ['BASEDIR'] = BASEDIR
ANGLE_SCALE = 5.0
def ui_thread(addr):
cv2.setNumThreads(1)
# Get monitor info before creating window
rl.set_config_flags(rl.ConfigFlags.FLAG_MSAA_4X_HINT)
rl.init_window(1, 1, "")
max_height = rl.get_monitor_height(0)
rl.close_window()
hor_mode = os.getenv("HORIZONTAL") is not None
hor_mode = True if max_height < 960 + 300 else hor_mode
if hor_mode:
size = (640 + 384 + 640, 960)
write_x = 5
write_y = 680
else:
size = (640 + 384, 960 + 300)
write_x = 645
write_y = 970
rl.set_trace_log_level(rl.TraceLogLevel.LOG_ERROR)
rl.set_config_flags(rl.ConfigFlags.FLAG_MSAA_4X_HINT)
rl.init_window(size[0], size[1], "openpilot debug UI")
rl.set_target_fps(60)
# Load font
font_path = os.path.join(BASEDIR, "selfdrive/assets/fonts/JetBrainsMono-Medium.ttf")
font = rl.load_font_ex(font_path, 32, None, 0)
# Create textures for camera and top-down view
camera_image = rl.gen_image_color(640, 480, rl.BLACK)
camera_texture = rl.load_texture_from_image(camera_image)
rl.unload_image(camera_image)
# lid_overlay array is (lidar_x, lidar_y) = (384, 960)
# pygame treats first axis as width, so texture is 384 wide x 960 tall
# For raylib, we need to transpose to get (height, width) = (960, 384) for the RGBA array
top_down_image = rl.gen_image_color(UP.lidar_x, UP.lidar_y, rl.BLACK)
top_down_texture = rl.load_texture_from_image(top_down_image)
rl.unload_image(top_down_image)
sm = messaging.SubMaster(
[
'carState',
'longitudinalPlan',
'carControl',
'radarState',
'liveCalibration',
'controlsState',
'selfdriveState',
'liveTracks',
'modelV2',
'liveParameters',
'roadCameraState',
],
addr=addr,
)
img = np.zeros((480, 640, 3), dtype='uint8')
imgff = None
num_px = 0
calibration = None
lid_overlay_blank = get_blank_lid_overlay(UP)
# plots
name_to_arr_idx = {
"gas": 0,
"computer_gas": 1,
"user_brake": 2,
"computer_brake": 3,
"v_ego": 4,
"v_pid": 5,
"angle_steers_des": 6,
"angle_steers": 7,
"angle_steers_k": 8,
"steer_torque": 9,
"v_override": 10,
"v_cruise": 11,
"a_ego": 12,
"a_target": 13,
}
plot_arr = np.zeros((100, len(name_to_arr_idx.values())))
plot_xlims = [(0, plot_arr.shape[0]), (0, plot_arr.shape[0]), (0, plot_arr.shape[0]), (0, plot_arr.shape[0])]
plot_ylims = [(-0.1, 1.1), (-ANGLE_SCALE, ANGLE_SCALE), (0.0, 75.0), (-3.0, 2.0)]
plot_names = [
["gas", "computer_gas", "user_brake", "computer_brake"],
["angle_steers", "angle_steers_des", "angle_steers_k", "steer_torque"],
["v_ego", "v_override", "v_pid", "v_cruise"],
["a_ego", "a_target"],
]
plot_colors = [["b", "b", "g", "r", "y"], ["b", "g", "y", "r"], ["b", "g", "r", "y"], ["b", "r"]]
plot_styles = [["-", "-", "-", "-", "-"], ["-", "-", "-", "-"], ["-", "-", "-", "-"], ["-", "-"]]
draw_plots = init_plots(plot_arr, name_to_arr_idx, plot_xlims, plot_ylims, plot_names, plot_colors, plot_styles)
# Palette for converting lid_overlay grayscale indices to RGBA colors
palette = np.zeros((256, 4), dtype=np.uint8)
palette[:, 3] = 255 # alpha
palette[1] = [255, 0, 0, 255] # RED
palette[2] = [0, 255, 0, 255] # GREEN
palette[3] = [0, 0, 255, 255] # BLUE
palette[4] = [255, 255, 0, 255] # YELLOW
palette[110] = [110, 110, 110, 255] # car_color (gray)
palette[255] = [255, 255, 255, 255] # WHITE
vipc_client = VisionIpcClient("camerad", VisionStreamType.VISION_STREAM_ROAD, True)
while not rl.window_should_close():
# ***** frame *****
if not vipc_client.is_connected():
vipc_client.connect(False)
rl.begin_drawing()
rl.clear_background(rl.Color(64, 64, 64, 255))
yuv_img_raw = vipc_client.recv()
if yuv_img_raw is None or not yuv_img_raw.data.any():
rl.draw_text_ex(font, "waiting for frames", rl.Vector2(200, 200), 30, 0, rl.WHITE)
rl.end_drawing()
continue
lid_overlay = lid_overlay_blank.copy()
top_down = top_down_texture, lid_overlay
sm.update(0)
camera = DEVICE_CAMERAS[("tici", str(sm['roadCameraState'].sensor))]
imgff = np.frombuffer(yuv_img_raw.data, dtype=np.uint8).reshape((len(yuv_img_raw.data) // vipc_client.stride, vipc_client.stride))
num_px = vipc_client.width * vipc_client.height
rgb = cv2.cvtColor(imgff[: vipc_client.height * 3 // 2, : vipc_client.width], cv2.COLOR_YUV2RGB_NV12)
qcam = "QCAM" in os.environ
bb_scale = (528 if qcam else camera.fcam.width) / 640.0
calib_scale = camera.fcam.width / 640.0
zoom_matrix = np.asarray([[bb_scale, 0.0, 0.0], [0.0, bb_scale, 0.0], [0.0, 0.0, 1.0]])
cv2.warpAffine(rgb, zoom_matrix[:2], (img.shape[1], img.shape[0]), dst=img, flags=cv2.WARP_INVERSE_MAP)
intrinsic_matrix = camera.fcam.intrinsics
w = sm['controlsState'].lateralControlState.which()
if w == 'lqrStateDEPRECATED':
angle_steers_k = sm['controlsState'].lateralControlState.lqrStateDEPRECATED.steeringAngleDeg
elif w == 'indiState':
angle_steers_k = sm['controlsState'].lateralControlState.indiState.steeringAngleDeg
else:
angle_steers_k = np.inf
plot_arr[:-1] = plot_arr[1:]
plot_arr[-1, name_to_arr_idx['angle_steers']] = sm['carState'].steeringAngleDeg
plot_arr[-1, name_to_arr_idx['angle_steers_des']] = sm['carControl'].actuators.steeringAngleDeg
plot_arr[-1, name_to_arr_idx['angle_steers_k']] = angle_steers_k
plot_arr[-1, name_to_arr_idx['gas']] = sm['carState'].gasDEPRECATED
# TODO gas is deprecated
plot_arr[-1, name_to_arr_idx['computer_gas']] = np.clip(sm['carControl'].actuators.accel / 4.0, 0.0, 1.0)
plot_arr[-1, name_to_arr_idx['user_brake']] = sm['carState'].brake
plot_arr[-1, name_to_arr_idx['steer_torque']] = sm['carControl'].actuators.torque * ANGLE_SCALE
# TODO brake is deprecated
plot_arr[-1, name_to_arr_idx['computer_brake']] = np.clip(-sm['carControl'].actuators.accel / 4.0, 0.0, 1.0)
plot_arr[-1, name_to_arr_idx['v_ego']] = sm['carState'].vEgo
plot_arr[-1, name_to_arr_idx['v_cruise']] = sm['carState'].cruiseState.speed
plot_arr[-1, name_to_arr_idx['a_ego']] = sm['carState'].aEgo
if len(sm['longitudinalPlan'].accels):
plot_arr[-1, name_to_arr_idx['a_target']] = sm['longitudinalPlan'].accels[0]
if sm.recv_frame['modelV2']:
plot_model(sm['modelV2'], img, calibration, top_down)
if sm.recv_frame['radarState']:
plot_lead(sm['radarState'], top_down)
# draw all radar points
maybe_update_radar_points(sm['liveTracks'].points, top_down[1])
if sm.updated['liveCalibration'] and num_px:
rpyCalib = np.asarray(sm['liveCalibration'].rpyCalib)
calibration = Calibration(num_px, rpyCalib, intrinsic_matrix, calib_scale)
# *** blits ***
# Update camera texture from numpy array
img_rgba = cv2.cvtColor(img, cv2.COLOR_RGB2RGBA)
rl.update_texture(camera_texture, rl.ffi.cast("void *", img_rgba.ctypes.data))
rl.draw_texture(camera_texture, 0, 0, rl.WHITE)
# display alerts
rl.draw_text_ex(font, sm['selfdriveState'].alertText1, rl.Vector2(180, 150), 30, 0, rl.RED)
rl.draw_text_ex(font, sm['selfdriveState'].alertText2, rl.Vector2(180, 190), 20, 0, rl.RED)
# draw plots (texture is reused internally)
plot_texture = draw_plots(plot_arr)
if hor_mode:
rl.draw_texture(plot_texture, 640 + 384, 0, rl.WHITE)
else:
rl.draw_texture(plot_texture, 0, 600, rl.WHITE)
# Convert lid_overlay to RGBA and update top_down texture
# lid_overlay is (384, 960), need to transpose to (960, 384) for row-major RGBA buffer
lid_rgba = palette[lid_overlay.T]
rl.update_texture(top_down_texture, rl.ffi.cast("void *", np.ascontiguousarray(lid_rgba).ctypes.data))
rl.draw_texture(top_down_texture, 640, 0, rl.WHITE)
SPACING = 25
lines = [
("ENABLED", GREEN if sm['selfdriveState'].enabled else BLACK),
("SPEED: " + str(round(sm['carState'].vEgo, 1)) + " m/s", YELLOW),
("LONG CONTROL STATE: " + str(sm['controlsState'].longControlState), YELLOW),
("LONG MPC SOURCE: " + str(sm['longitudinalPlan'].longitudinalPlanSource), YELLOW),
None,
("ANGLE OFFSET (AVG): " + str(round(sm['liveParameters'].angleOffsetAverageDeg, 2)) + " deg", YELLOW),
("ANGLE OFFSET (INSTANT): " + str(round(sm['liveParameters'].angleOffsetDeg, 2)) + " deg", YELLOW),
("STIFFNESS: " + str(round(sm['liveParameters'].stiffnessFactor * 100.0, 2)) + " %", YELLOW),
("STEER RATIO: " + str(round(sm['liveParameters'].steerRatio, 2)), YELLOW),
]
for i, line in enumerate(lines):
if line is not None:
color = rl.Color(line[1][0], line[1][1], line[1][2], 255)
rl.draw_text_ex(font, line[0], rl.Vector2(write_x, write_y + i * SPACING), 20, 0, color)
rl.end_drawing()
rl.unload_texture(camera_texture)
rl.unload_texture(top_down_texture)
rl.unload_font(font)
rl.close_window()
def get_arg_parser():
parser = argparse.ArgumentParser(description="Show replay data in a UI.", formatter_class=argparse.ArgumentDefaultsHelpFormatter)
parser.add_argument("ip_address", nargs="?", default="127.0.0.1", help="The ip address on which to receive zmq messages.")
parser.add_argument("--frame-address", default=None, help="The frame address (fully qualified ZMQ endpoint for frames) on which to receive zmq messages.")
return parser
if __name__ == "__main__":
args = get_arg_parser().parse_args(sys.argv[1:])
if args.ip_address != "127.0.0.1":
os.environ["ZMQ"] = "1"
messaging.reset_context()
ui_thread(args.ip_address)