version: sunnypilot v2025.003.000 (dev) date: 2026-02-09T02:04:38 master commit: 254f55ac15a40343d7255f2f098de3442e0c4a6f
280 lines
10 KiB
Python
Executable File
280 lines
10 KiB
Python
Executable File
#!/usr/bin/env python3
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import argparse
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import os
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import sys
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import cv2
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import numpy as np
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import pyray as rl
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import cereal.messaging as messaging
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from openpilot.common.basedir import BASEDIR
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from openpilot.common.transformations.camera import DEVICE_CAMERAS
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from openpilot.tools.replay.lib.ui_helpers import (
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UP,
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BLACK,
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GREEN,
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YELLOW,
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Calibration,
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get_blank_lid_overlay,
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init_plots,
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maybe_update_radar_points,
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plot_lead,
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plot_model,
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)
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from msgq.visionipc import VisionIpcClient, VisionStreamType
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os.environ['BASEDIR'] = BASEDIR
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ANGLE_SCALE = 5.0
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def ui_thread(addr):
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cv2.setNumThreads(1)
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# Get monitor info before creating window
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rl.set_config_flags(rl.ConfigFlags.FLAG_MSAA_4X_HINT)
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rl.init_window(1, 1, "")
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max_height = rl.get_monitor_height(0)
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rl.close_window()
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hor_mode = os.getenv("HORIZONTAL") is not None
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hor_mode = True if max_height < 960 + 300 else hor_mode
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if hor_mode:
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size = (640 + 384 + 640, 960)
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write_x = 5
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write_y = 680
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else:
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size = (640 + 384, 960 + 300)
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write_x = 645
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write_y = 970
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rl.set_trace_log_level(rl.TraceLogLevel.LOG_ERROR)
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rl.set_config_flags(rl.ConfigFlags.FLAG_MSAA_4X_HINT)
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rl.init_window(size[0], size[1], "openpilot debug UI")
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rl.set_target_fps(60)
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# Load font
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font_path = os.path.join(BASEDIR, "selfdrive/assets/fonts/JetBrainsMono-Medium.ttf")
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font = rl.load_font_ex(font_path, 32, None, 0)
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# Create textures for camera and top-down view
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camera_image = rl.gen_image_color(640, 480, rl.BLACK)
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camera_texture = rl.load_texture_from_image(camera_image)
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rl.unload_image(camera_image)
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# lid_overlay array is (lidar_x, lidar_y) = (384, 960)
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# pygame treats first axis as width, so texture is 384 wide x 960 tall
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# For raylib, we need to transpose to get (height, width) = (960, 384) for the RGBA array
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top_down_image = rl.gen_image_color(UP.lidar_x, UP.lidar_y, rl.BLACK)
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top_down_texture = rl.load_texture_from_image(top_down_image)
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rl.unload_image(top_down_image)
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sm = messaging.SubMaster(
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[
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'carState',
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'longitudinalPlan',
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'carControl',
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'radarState',
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'liveCalibration',
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'controlsState',
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'selfdriveState',
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'liveTracks',
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'modelV2',
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'liveParameters',
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'roadCameraState',
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],
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addr=addr,
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)
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img = np.zeros((480, 640, 3), dtype='uint8')
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imgff = None
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num_px = 0
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calibration = None
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lid_overlay_blank = get_blank_lid_overlay(UP)
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# plots
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name_to_arr_idx = {
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"gas": 0,
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"computer_gas": 1,
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"user_brake": 2,
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"computer_brake": 3,
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"v_ego": 4,
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"v_pid": 5,
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"angle_steers_des": 6,
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"angle_steers": 7,
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"angle_steers_k": 8,
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"steer_torque": 9,
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"v_override": 10,
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"v_cruise": 11,
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"a_ego": 12,
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"a_target": 13,
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}
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plot_arr = np.zeros((100, len(name_to_arr_idx.values())))
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plot_xlims = [(0, plot_arr.shape[0]), (0, plot_arr.shape[0]), (0, plot_arr.shape[0]), (0, plot_arr.shape[0])]
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plot_ylims = [(-0.1, 1.1), (-ANGLE_SCALE, ANGLE_SCALE), (0.0, 75.0), (-3.0, 2.0)]
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plot_names = [
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["gas", "computer_gas", "user_brake", "computer_brake"],
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["angle_steers", "angle_steers_des", "angle_steers_k", "steer_torque"],
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["v_ego", "v_override", "v_pid", "v_cruise"],
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["a_ego", "a_target"],
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]
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plot_colors = [["b", "b", "g", "r", "y"], ["b", "g", "y", "r"], ["b", "g", "r", "y"], ["b", "r"]]
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plot_styles = [["-", "-", "-", "-", "-"], ["-", "-", "-", "-"], ["-", "-", "-", "-"], ["-", "-"]]
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draw_plots = init_plots(plot_arr, name_to_arr_idx, plot_xlims, plot_ylims, plot_names, plot_colors, plot_styles)
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# Palette for converting lid_overlay grayscale indices to RGBA colors
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palette = np.zeros((256, 4), dtype=np.uint8)
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palette[:, 3] = 255 # alpha
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palette[1] = [255, 0, 0, 255] # RED
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palette[2] = [0, 255, 0, 255] # GREEN
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palette[3] = [0, 0, 255, 255] # BLUE
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palette[4] = [255, 255, 0, 255] # YELLOW
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palette[110] = [110, 110, 110, 255] # car_color (gray)
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palette[255] = [255, 255, 255, 255] # WHITE
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vipc_client = VisionIpcClient("camerad", VisionStreamType.VISION_STREAM_ROAD, True)
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while not rl.window_should_close():
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# ***** frame *****
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if not vipc_client.is_connected():
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vipc_client.connect(False)
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rl.begin_drawing()
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rl.clear_background(rl.Color(64, 64, 64, 255))
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yuv_img_raw = vipc_client.recv()
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if yuv_img_raw is None or not yuv_img_raw.data.any():
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rl.draw_text_ex(font, "waiting for frames", rl.Vector2(200, 200), 30, 0, rl.WHITE)
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rl.end_drawing()
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continue
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lid_overlay = lid_overlay_blank.copy()
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top_down = top_down_texture, lid_overlay
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sm.update(0)
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camera = DEVICE_CAMERAS[("tici", str(sm['roadCameraState'].sensor))]
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imgff = np.frombuffer(yuv_img_raw.data, dtype=np.uint8).reshape((len(yuv_img_raw.data) // vipc_client.stride, vipc_client.stride))
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num_px = vipc_client.width * vipc_client.height
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rgb = cv2.cvtColor(imgff[: vipc_client.height * 3 // 2, : vipc_client.width], cv2.COLOR_YUV2RGB_NV12)
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qcam = "QCAM" in os.environ
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bb_scale = (528 if qcam else camera.fcam.width) / 640.0
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calib_scale = camera.fcam.width / 640.0
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zoom_matrix = np.asarray([[bb_scale, 0.0, 0.0], [0.0, bb_scale, 0.0], [0.0, 0.0, 1.0]])
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cv2.warpAffine(rgb, zoom_matrix[:2], (img.shape[1], img.shape[0]), dst=img, flags=cv2.WARP_INVERSE_MAP)
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intrinsic_matrix = camera.fcam.intrinsics
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w = sm['controlsState'].lateralControlState.which()
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if w == 'lqrStateDEPRECATED':
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angle_steers_k = sm['controlsState'].lateralControlState.lqrStateDEPRECATED.steeringAngleDeg
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elif w == 'indiState':
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angle_steers_k = sm['controlsState'].lateralControlState.indiState.steeringAngleDeg
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else:
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angle_steers_k = np.inf
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plot_arr[:-1] = plot_arr[1:]
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plot_arr[-1, name_to_arr_idx['angle_steers']] = sm['carState'].steeringAngleDeg
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plot_arr[-1, name_to_arr_idx['angle_steers_des']] = sm['carControl'].actuators.steeringAngleDeg
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plot_arr[-1, name_to_arr_idx['angle_steers_k']] = angle_steers_k
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plot_arr[-1, name_to_arr_idx['gas']] = sm['carState'].gasDEPRECATED
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# TODO gas is deprecated
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plot_arr[-1, name_to_arr_idx['computer_gas']] = np.clip(sm['carControl'].actuators.accel / 4.0, 0.0, 1.0)
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plot_arr[-1, name_to_arr_idx['user_brake']] = sm['carState'].brake
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plot_arr[-1, name_to_arr_idx['steer_torque']] = sm['carControl'].actuators.torque * ANGLE_SCALE
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# TODO brake is deprecated
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plot_arr[-1, name_to_arr_idx['computer_brake']] = np.clip(-sm['carControl'].actuators.accel / 4.0, 0.0, 1.0)
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plot_arr[-1, name_to_arr_idx['v_ego']] = sm['carState'].vEgo
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plot_arr[-1, name_to_arr_idx['v_cruise']] = sm['carState'].cruiseState.speed
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plot_arr[-1, name_to_arr_idx['a_ego']] = sm['carState'].aEgo
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if len(sm['longitudinalPlan'].accels):
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plot_arr[-1, name_to_arr_idx['a_target']] = sm['longitudinalPlan'].accels[0]
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if sm.recv_frame['modelV2']:
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plot_model(sm['modelV2'], img, calibration, top_down)
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if sm.recv_frame['radarState']:
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plot_lead(sm['radarState'], top_down)
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# draw all radar points
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maybe_update_radar_points(sm['liveTracks'].points, top_down[1])
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if sm.updated['liveCalibration'] and num_px:
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rpyCalib = np.asarray(sm['liveCalibration'].rpyCalib)
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calibration = Calibration(num_px, rpyCalib, intrinsic_matrix, calib_scale)
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# *** blits ***
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# Update camera texture from numpy array
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img_rgba = cv2.cvtColor(img, cv2.COLOR_RGB2RGBA)
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rl.update_texture(camera_texture, rl.ffi.cast("void *", img_rgba.ctypes.data))
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rl.draw_texture(camera_texture, 0, 0, rl.WHITE)
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# display alerts
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rl.draw_text_ex(font, sm['selfdriveState'].alertText1, rl.Vector2(180, 150), 30, 0, rl.RED)
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rl.draw_text_ex(font, sm['selfdriveState'].alertText2, rl.Vector2(180, 190), 20, 0, rl.RED)
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# draw plots (texture is reused internally)
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plot_texture = draw_plots(plot_arr)
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if hor_mode:
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rl.draw_texture(plot_texture, 640 + 384, 0, rl.WHITE)
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else:
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rl.draw_texture(plot_texture, 0, 600, rl.WHITE)
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# Convert lid_overlay to RGBA and update top_down texture
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# lid_overlay is (384, 960), need to transpose to (960, 384) for row-major RGBA buffer
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lid_rgba = palette[lid_overlay.T]
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rl.update_texture(top_down_texture, rl.ffi.cast("void *", np.ascontiguousarray(lid_rgba).ctypes.data))
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rl.draw_texture(top_down_texture, 640, 0, rl.WHITE)
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SPACING = 25
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lines = [
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("ENABLED", GREEN if sm['selfdriveState'].enabled else BLACK),
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("SPEED: " + str(round(sm['carState'].vEgo, 1)) + " m/s", YELLOW),
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("LONG CONTROL STATE: " + str(sm['controlsState'].longControlState), YELLOW),
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("LONG MPC SOURCE: " + str(sm['longitudinalPlan'].longitudinalPlanSource), YELLOW),
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None,
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("ANGLE OFFSET (AVG): " + str(round(sm['liveParameters'].angleOffsetAverageDeg, 2)) + " deg", YELLOW),
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("ANGLE OFFSET (INSTANT): " + str(round(sm['liveParameters'].angleOffsetDeg, 2)) + " deg", YELLOW),
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("STIFFNESS: " + str(round(sm['liveParameters'].stiffnessFactor * 100.0, 2)) + " %", YELLOW),
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("STEER RATIO: " + str(round(sm['liveParameters'].steerRatio, 2)), YELLOW),
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]
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for i, line in enumerate(lines):
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if line is not None:
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color = rl.Color(line[1][0], line[1][1], line[1][2], 255)
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rl.draw_text_ex(font, line[0], rl.Vector2(write_x, write_y + i * SPACING), 20, 0, color)
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rl.end_drawing()
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rl.unload_texture(camera_texture)
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rl.unload_texture(top_down_texture)
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rl.unload_font(font)
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rl.close_window()
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def get_arg_parser():
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parser = argparse.ArgumentParser(description="Show replay data in a UI.", formatter_class=argparse.ArgumentDefaultsHelpFormatter)
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parser.add_argument("ip_address", nargs="?", default="127.0.0.1", help="The ip address on which to receive zmq messages.")
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parser.add_argument("--frame-address", default=None, help="The frame address (fully qualified ZMQ endpoint for frames) on which to receive zmq messages.")
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return parser
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if __name__ == "__main__":
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args = get_arg_parser().parse_args(sys.argv[1:])
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if args.ip_address != "127.0.0.1":
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os.environ["ZMQ"] = "1"
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messaging.reset_context()
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ui_thread(args.ip_address)
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