mirror of https://github.com/commaai/openpilot.git
181 lines
6.5 KiB
Python
Executable File
181 lines
6.5 KiB
Python
Executable File
#!/usr/bin/env python3
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import sys
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import argparse
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import multiprocessing
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import rerun as rr
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import rerun.blueprint as rrb
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from functools import partial
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from collections import defaultdict
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from cereal.services import SERVICE_LIST
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from openpilot.tools.rerun.camera_reader import probe_packet_info, CameraReader, CameraConfig, CameraType
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from openpilot.tools.lib.logreader import LogReader
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from openpilot.tools.lib.route import Route, SegmentRange
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NUM_CPUS = multiprocessing.cpu_count()
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DEMO_ROUTE = "a2a0ccea32023010|2023-07-27--13-01-19"
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RR_TIMELINE_NAME = "Timeline"
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RR_WIN = "openpilot logs"
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"""
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Relevant upstream Rerun issues:
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- loading videos directly: https://github.com/rerun-io/rerun/issues/6532
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"""
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class Rerunner:
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def __init__(self, route, segment_range, camera_config):
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self.lr = LogReader(route_or_segment_name)
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# hevc files don't have start_time. We get it from qcamera.ts
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start_time = 0
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dat = probe_packet_info(route.qcamera_paths()[0])
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for d in dat:
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if d.startswith("pts_time="):
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start_time = float(d.split('=')[1])
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break
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qcam, fcam, ecam, dcam = camera_config
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self.camera_readers = {}
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if qcam:
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self.camera_readers[CameraType.qcam] = CameraReader(route.qcamera_paths(), start_time, segment_range.seg_idxs)
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if fcam:
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self.camera_readers[CameraType.fcam] = CameraReader(route.camera_paths(), start_time, segment_range.seg_idxs)
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if ecam:
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self.camera_readers[CameraType.ecam] = CameraReader(route.ecamera_paths(), start_time, segment_range.seg_idxs)
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if dcam:
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self.camera_readers[CameraType.dcam] = CameraReader(route.dcamera_paths(), start_time, segment_range.seg_idxs)
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def _create_blueprint(self):
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blueprint = None
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service_views = []
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for topic in sorted(SERVICE_LIST.keys()):
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View = rrb.TimeSeriesView if topic != "thumbnail" else rrb.Spatial2DView
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service_views.append(View(name=topic, origin=f"/{topic}/", visible=False))
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rr.log(topic, rr.SeriesLine(name=topic), timeless=True)
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center_view = [rrb.Vertical(*service_views, name="streams")]
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if len(self.camera_readers):
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center_view.append(rrb.Vertical(*[rrb.Spatial2DView(name=cam_type, origin=cam_type) for cam_type in self.camera_readers.keys()], name="cameras"))
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blueprint = rrb.Blueprint(
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rrb.Horizontal(
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*center_view
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),
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rrb.SelectionPanel(expanded=False),
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rrb.TimePanel(expanded=False),
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)
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return blueprint
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@staticmethod
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def _parse_msg(msg, parent_key=''):
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stack = [(msg, parent_key)]
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while stack:
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current_msg, current_parent_key = stack.pop()
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if isinstance(current_msg, list):
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for index, item in enumerate(current_msg):
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new_key = f"{current_parent_key}/{index}"
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if isinstance(item, (int, float)):
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yield new_key, item
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elif isinstance(item, dict):
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stack.append((item, new_key))
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elif isinstance(current_msg, dict):
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for key, value in current_msg.items():
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new_key = f"{current_parent_key}/{key}"
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if isinstance(value, (int, float)):
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yield new_key, value
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elif isinstance(value, dict):
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stack.append((value, new_key))
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elif isinstance(value, list):
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for index, item in enumerate(value):
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if isinstance(item, (int, float)):
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yield f"{new_key}/{index}", item
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else:
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pass # Not a plottable value
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@staticmethod
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@rr.shutdown_at_exit
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def _process_log_msgs(blueprint, lr):
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rr.init(RR_WIN)
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rr.connect()
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rr.send_blueprint(blueprint)
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log_msgs = defaultdict(lambda: defaultdict(list))
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for msg in lr:
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msg_type = msg.which()
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if msg_type == "thumbnail":
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continue
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for entity_path, dat in Rerunner._parse_msg(msg.to_dict()[msg_type], msg_type):
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log_msgs[entity_path]["times"].append(msg.logMonoTime / 1e9)
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log_msgs[entity_path]["data"].append(dat)
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for entity_path, log_msg in log_msgs.items():
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rr.log_temporal_batch(
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entity_path,
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times=[rr.TimeSecondsBatch(RR_TIMELINE_NAME, log_msg["times"])],
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components=[rr.components.ScalarBatch(log_msg["data"])]
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)
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return []
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@staticmethod
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@rr.shutdown_at_exit
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def _process_cam_readers(blueprint, cam_type, h, w, fr):
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rr.init(RR_WIN)
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rr.connect()
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rr.send_blueprint(blueprint)
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for ts, frame in fr:
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rr.set_time_nanos(RR_TIMELINE_NAME, int(ts * 1e9))
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rr.log(cam_type, rr.Image(bytes=frame, width=w, height=h, pixel_format=rr.PixelFormat.NV12))
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def load_data(self):
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rr.init(RR_WIN, spawn=True)
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startup_blueprint = self._create_blueprint()
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self.lr.run_across_segments(NUM_CPUS, partial(self._process_log_msgs, startup_blueprint), desc="Log messages")
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for cam_type, cr in self.camera_readers.items():
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cr.run_across_segments(NUM_CPUS, partial(self._process_cam_readers, startup_blueprint, cam_type, cr.h, cr.w), desc=cam_type)
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rr.send_blueprint(self._create_blueprint())
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if __name__ == '__main__':
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parser = argparse.ArgumentParser(description="A helper to run rerun on openpilot routes",
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formatter_class=argparse.ArgumentDefaultsHelpFormatter)
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parser.add_argument("--demo", action="store_true", help="Use the demo route instead of providing one")
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parser.add_argument("--qcam", action="store_true", help="Show low-res road camera")
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parser.add_argument("--fcam", action="store_true", help="Show driving camera")
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parser.add_argument("--ecam", action="store_true", help="Show wide camera")
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parser.add_argument("--dcam", action="store_true", help="Show driver monitoring camera")
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parser.add_argument("route_or_segment_name", nargs='?', help="The route or segment name to plot")
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args = parser.parse_args()
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if not args.demo and not args.route_or_segment_name:
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parser.print_help()
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sys.exit()
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camera_config = CameraConfig(args.qcam, args.fcam, args.ecam, args.dcam)
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route_or_segment_name = DEMO_ROUTE if args.demo else args.route_or_segment_name.strip()
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sr = SegmentRange(route_or_segment_name)
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r = Route(sr.route_name)
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hevc_requested = any(camera_config[1:])
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if len(sr.seg_idxs) > 1 and hevc_requested:
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print("You're requesting more than 1 segment with hevc videos, " + \
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"please be aware that might take a lot of memory " + \
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"since rerun isn't yet well supported for high resolution video logging")
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response = input("Do you wish to continue? (Y/n): ")
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if response.strip().lower() != "y":
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sys.exit()
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rerunner = Rerunner(r, sr, camera_config)
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rerunner.load_data()
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