mirror of
https://github.com/infiniteCable2/openpilot.git
synced 2026-08-05 00:05:57 +08:00
Sync: commaai/openpilot:master into sunnypilot/sunnypilot:master-new (#656)
This commit is contained in:
Jason Wen
@@ -229,7 +229,7 @@ jobs:
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- name: Build openpilot
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run: ${{ env.RUN }} "scons -j$(nproc)"
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- name: Test car models
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timeout-minutes: ${{ contains(runner.name, 'nsc') && (steps.routes-cache.outputs.cache-hit == 'true') && 1 || 20 }}
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timeout-minutes: ${{ contains(runner.name, 'nsc') && (steps.routes-cache.outputs.cache-hit == 'true') && 1 || 6 }}
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run: |
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${{ env.RUN }} "MAX_EXAMPLES=1 $PYTEST selfdrive/car/tests/test_models.py && \
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chmod -R 777 /tmp/comma_download_cache"
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+2
-1
@@ -136,7 +136,8 @@ struct OnroadEventSP @0xda96579883444c35 {
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}
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struct CarParamsSP @0x80ae746ee2596b11 {
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flags @0 :UInt32; # flags for car specific quirks in sunnypilot
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flags @0 :UInt32; # flags for car specific quirks in sunnypilot
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safetyParam @1 : Int16; # flags for sunnypilot's custom safety flags
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}
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struct CarControlSP @0xa5cd762cd951a455 {
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+8
-8
@@ -34,25 +34,25 @@ function launch {
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# Check to see if there's a valid overlay-based update available. Conditions
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# are as follows:
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#
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# 1. The BASEDIR init file has to exist, with a newer modtime than anything in
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# the BASEDIR Git repo. This checks for local development work or the user
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# 1. The DIR init file has to exist, with a newer modtime than anything in
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# the DIR Git repo. This checks for local development work or the user
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# switching branches/forks, which should not be overwritten.
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# 2. The FINALIZED consistent file has to exist, indicating there's an update
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# that completed successfully and synced to disk.
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if [ -f "${BASEDIR}/.overlay_init" ]; then
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find ${BASEDIR}/.git -newer ${BASEDIR}/.overlay_init | grep -q '.' 2> /dev/null
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if [ -f "${DIR}/.overlay_init" ]; then
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find ${DIR}/.git -newer ${DIR}/.overlay_init | grep -q '.' 2> /dev/null
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if [ $? -eq 0 ]; then
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echo "${BASEDIR} has been modified, skipping overlay update installation"
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echo "${DIR} has been modified, skipping overlay update installation"
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else
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if [ -f "${STAGING_ROOT}/finalized/.overlay_consistent" ]; then
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if [ ! -d /data/safe_staging/old_openpilot ]; then
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echo "Valid overlay update found, installing"
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LAUNCHER_LOCATION="${BASH_SOURCE[0]}"
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mv $BASEDIR /data/safe_staging/old_openpilot
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mv "${STAGING_ROOT}/finalized" $BASEDIR
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cd $BASEDIR
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mv $DIR /data/safe_staging/old_openpilot
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mv "${STAGING_ROOT}/finalized" $DIR
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cd $DIR
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echo "Restarting launch script ${LAUNCHER_LOCATION}"
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unset AGNOS_VERSION
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+1
-1
@@ -7,7 +7,7 @@ export OPENBLAS_NUM_THREADS=1
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export VECLIB_MAXIMUM_THREADS=1
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if [ -z "$AGNOS_VERSION" ]; then
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export AGNOS_VERSION="11.10"
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export AGNOS_VERSION="11.11"
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fi
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export STAGING_ROOT="/data/safe_staging"
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+1
-1
Submodule opendbc_repo updated: 484a9b08f1...9b83f9519d
+1
-1
Submodule panda updated: 5479e1572a...ccb9581b1c
@@ -99,11 +99,13 @@ dev = [
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"av",
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"azure-identity",
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"azure-storage-blob",
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"dbus-next",
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"dictdiffer",
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"lru-dict",
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"matplotlib",
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"parameterized >=0.8, <0.9",
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"pyautogui",
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"pygame",
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"pyopencl; platform_machine != 'aarch64'", # broken on arm64
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"pytools < 2024.1.11; platform_machine != 'aarch64'", # pyopencl use a broken version
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"pywinctl",
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@@ -8,6 +8,7 @@ ROOT = HERE + "/.."
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blacklist = [
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".git/",
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".github/workflows/",
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"matlab.*.md",
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@@ -1,5 +1,4 @@
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import time
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import capnp
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import copy
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import os
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import pytest
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@@ -68,7 +67,7 @@ class TestCarModelBase(unittest.TestCase):
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platform: Platform | None = None
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test_route: CarTestRoute | None = None
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can_msgs: list[capnp.lib.capnp._DynamicStructReader]
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can_msgs: list[tuple[int, list[CanData]]]
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fingerprint: dict[int, dict[int, int]]
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elm_frame: int | None
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car_safety_mode_frame: int | None
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@@ -83,7 +82,8 @@ class TestCarModelBase(unittest.TestCase):
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experimental_long = False
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for msg in lr:
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if msg.which() == "can":
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can_msgs.append(msg)
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can = can_capnp_to_list((msg.as_builder().to_bytes(),))[0]
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can_msgs.append((can[0], [CanData(*can) for can in can[1]]))
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if len(can_msgs) <= FRAME_FINGERPRINT:
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for m in msg.can:
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if m.src < 64:
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@@ -147,13 +147,11 @@ class TestCarModelBase(unittest.TestCase):
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raise unittest.SkipTest
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raise Exception(f"missing test route for {cls.platform}")
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car_fw, can_msgs, experimental_long = cls.get_testing_data()
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car_fw, cls.can_msgs, experimental_long = cls.get_testing_data()
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# if relay is expected to be open in the route
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cls.openpilot_enabled = cls.car_safety_mode_frame is not None
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cls.can_msgs = sorted(can_msgs, key=lambda msg: msg.logMonoTime)
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cls.CarInterface, cls.CarController, cls.CarState, cls.RadarInterface = interfaces[cls.platform]
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cls.CP = cls.CarInterface.get_params(cls.platform, cls.fingerprint, car_fw, experimental_long, docs=False)
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cls.CP_SP = cls.CarInterface.get_params_sp(cls.CP, cls.platform, cls.fingerprint, car_fw, experimental_long, docs=False)
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@@ -174,6 +172,9 @@ class TestCarModelBase(unittest.TestCase):
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# TODO: check safetyModel is in release panda build
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self.safety = libsafety_py.libsafety
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safety_param_sp = self.CP_SP.safetyParam
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self.safety.set_current_safety_param_sp(safety_param_sp)
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cfg = self.CP.safetyConfigs[-1]
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set_status = self.safety.set_safety_hooks(cfg.safetyModel.raw, cfg.safetyParam)
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self.assertEqual(0, set_status, f"failed to set safetyModel {cfg}")
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@@ -203,8 +204,8 @@ class TestCarModelBase(unittest.TestCase):
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CC_SP = structs.CarControlSP()
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for i, msg in enumerate(self.can_msgs):
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CS = self.CI.update(can_capnp_to_list((msg.as_builder().to_bytes(),)))
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self.CI.apply(CC, CC_SP, msg.logMonoTime)
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CS = self.CI.update(msg)
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self.CI.apply(CC, CC_SP, msg[0])
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if CS.canValid:
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can_valid = True
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@@ -223,7 +224,7 @@ class TestCarModelBase(unittest.TestCase):
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# start parsing CAN messages after we've left ELM mode and can expect CAN traffic
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error_cnt = 0
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for i, msg in enumerate(self.can_msgs[self.elm_frame:]):
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rr: structs.RadarData | None = RI.update(can_capnp_to_list((msg.as_builder().to_bytes(),)))
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rr: structs.RadarData | None = RI.update(msg)
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if rr is not None and i > 50:
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error_cnt += structs.RadarData.Error.canError in rr.errors
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self.assertEqual(error_cnt, 0)
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@@ -232,16 +233,16 @@ class TestCarModelBase(unittest.TestCase):
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if self.CP.dashcamOnly:
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self.skipTest("no need to check panda safety for dashcamOnly")
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start_ts = self.can_msgs[0].logMonoTime
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start_ts = self.can_msgs[0][0]
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failed_addrs = Counter()
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for can in self.can_msgs:
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# update panda timer
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t = (can.logMonoTime - start_ts) / 1e3
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t = (can[0] - start_ts) / 1e3
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self.safety.set_timer(int(t))
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# run all msgs through the safety RX hook
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for msg in can.can:
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for msg in can[1]:
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if msg.src >= 64:
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continue
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@@ -394,8 +395,8 @@ class TestCarModelBase(unittest.TestCase):
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# warm up pass, as initial states may be different
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for can in self.can_msgs[:300]:
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self.CI.update(can_capnp_to_list((can.as_builder().to_bytes(), )))
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for msg in filter(lambda m: m.src in range(64), can.can):
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self.CI.update(can)
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for msg in filter(lambda m: m.src < 64, can[1]):
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to_send = libsafety_py.make_CANPacket(msg.address, msg.src % 4, msg.dat)
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self.safety.safety_rx_hook(to_send)
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@@ -404,8 +405,8 @@ class TestCarModelBase(unittest.TestCase):
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checks = defaultdict(int)
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vehicle_speed_seen = self.CP.steerControlType == SteerControlType.angle and not self.CP.notCar
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for idx, can in enumerate(self.can_msgs):
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CS = self.CI.update(can_capnp_to_list((can.as_builder().to_bytes(), ))).as_reader()
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for msg in filter(lambda m: m.src in range(64), can.can):
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CS = self.CI.update(can).as_reader()
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for msg in filter(lambda m: m.src < 64, can[1]):
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to_send = libsafety_py.make_CANPacket(msg.address, msg.src % 4, msg.dat)
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ret = self.safety.safety_rx_hook(to_send)
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self.assertEqual(1, ret, f"safety rx failed ({ret=}): {(msg.address, msg.src % 4)}")
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@@ -211,9 +211,7 @@ class RadarD:
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self.v_ego_hist.append(self.v_ego)
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self.last_v_ego_frame = sm.recv_frame['carState']
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ar_pts = {}
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for pt in rr.points:
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ar_pts[pt.trackId] = [pt.dRel, pt.yRel, pt.vRel, pt.measured]
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ar_pts = {pt.trackId: [pt.dRel, pt.yRel, pt.vRel, pt.measured] for pt in rr.points}
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# *** remove missing points from meta data ***
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for ids in list(self.tracks.keys()):
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@@ -6,7 +6,6 @@ from tqdm import tqdm
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from cereal import car
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from opendbc.car.tests.routes import CarTestRoute
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from openpilot.selfdrive.car.tests.test_models import TestCarModelBase
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from openpilot.selfdrive.pandad import can_capnp_to_list
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from openpilot.tools.plotjuggler.juggle import DEMO_ROUTE
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N_RUNS = 10
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@@ -25,13 +24,11 @@ if __name__ == '__main__':
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CC = car.CarControl.new_message()
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ets = []
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for _ in tqdm(range(N_RUNS)):
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msgs = [m.as_builder().to_bytes() for m in tm.can_msgs]
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start_t = time.process_time_ns()
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for msg in msgs:
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can_list = can_capnp_to_list([msg])
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for msg in tm.can_msgs:
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for cp in tm.CI.can_parsers.values():
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if cp is not None:
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cp.update_strings(can_list)
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cp.update_strings(msg)
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ets.append((time.process_time_ns() - start_t) * 1e-6)
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print(f'{len(tm.can_msgs)} CAN packets, {N_RUNS} runs')
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@@ -37,6 +37,7 @@ cl_mem* DrivingModelFrame::prepare(cl_mem yuv_cl, int frame_width, int frame_hei
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DrivingModelFrame::~DrivingModelFrame() {
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deinit_transform();
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loadyuv_destroy(&loadyuv);
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CL_CHECK(clReleaseMemObject(input_frames_cl));
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CL_CHECK(clReleaseMemObject(img_buffer_20hz_cl));
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CL_CHECK(clReleaseMemObject(last_img_cl));
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CL_CHECK(clReleaseCommandQueue(q));
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@@ -58,5 +59,6 @@ cl_mem* MonitoringModelFrame::prepare(cl_mem yuv_cl, int frame_width, int frame_
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MonitoringModelFrame::~MonitoringModelFrame() {
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deinit_transform();
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CL_CHECK(clReleaseMemObject(input_frame_cl));
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CL_CHECK(clReleaseCommandQueue(q));
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}
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@@ -62,8 +62,8 @@ void Panda::set_safety_model(cereal::CarParams::SafetyModel safety_model, uint16
|
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handle->control_write(0xdc, (uint16_t)safety_model, safety_param);
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}
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|
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void Panda::set_alternative_experience(uint16_t alternative_experience) {
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handle->control_write(0xdf, alternative_experience, 0);
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void Panda::set_alternative_experience(uint16_t alternative_experience, uint16_t safety_param_sp) {
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handle->control_write(0xdf, alternative_experience, safety_param_sp);
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}
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cereal::PandaState::PandaType Panda::get_hw_type() {
|
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|
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@@ -63,7 +63,7 @@ public:
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// Panda functionality
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||||
cereal::PandaState::PandaType get_hw_type();
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void set_safety_model(cereal::CarParams::SafetyModel safety_model, uint16_t safety_param=0U);
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void set_alternative_experience(uint16_t alternative_experience);
|
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void set_alternative_experience(uint16_t alternative_experience, uint16_t safety_param_sp=0U);
|
||||
void set_fan_speed(uint16_t fan_speed);
|
||||
uint16_t get_fan_speed();
|
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void set_ir_pwr(uint16_t ir_pwr);
|
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|
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@@ -10,7 +10,8 @@ void PandaSafety::configureSafetyMode() {
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|
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auto car_params = fetchCarParams();
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if (!car_params.empty()) {
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LOGW("got %lu bytes CarParams", car_params.size());
|
||||
LOGW("got %lu bytes CarParams", car_params[0].size());
|
||||
LOGW("got %lu bytes CarParamsSP", car_params[1].size());
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||||
setSafetyMode(car_params);
|
||||
safety_configured_ = true;
|
||||
}
|
||||
@@ -43,7 +44,8 @@ void PandaSafety::updateMultiplexingMode() {
|
||||
}
|
||||
}
|
||||
|
||||
std::string PandaSafety::fetchCarParams() {
|
||||
// TODO-SP: Use structs instead of vector
|
||||
std::vector<std::string> PandaSafety::fetchCarParams() {
|
||||
if (!params_.getBool("FirmwareQueryDone")) {
|
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return {};
|
||||
}
|
||||
@@ -56,16 +58,21 @@ std::string PandaSafety::fetchCarParams() {
|
||||
if (!params_.getBool("ControlsReady")) {
|
||||
return {};
|
||||
}
|
||||
return params_.get("CarParams");
|
||||
return {params_.get("CarParams"), params_.get("CarParamsSP")};
|
||||
}
|
||||
|
||||
void PandaSafety::setSafetyMode(const std::string ¶ms_string) {
|
||||
// TODO-SP: Use structs instead of vector
|
||||
void PandaSafety::setSafetyMode(const std::vector<std::string> ¶ms_string) {
|
||||
AlignedBuffer aligned_buf;
|
||||
capnp::FlatArrayMessageReader cmsg(aligned_buf.align(params_string.data(), params_string.size()));
|
||||
capnp::FlatArrayMessageReader cmsg(aligned_buf.align(params_string[0].data(), params_string[0].size()));
|
||||
cereal::CarParams::Reader car_params = cmsg.getRoot<cereal::CarParams>();
|
||||
|
||||
capnp::FlatArrayMessageReader cmsg_sp(aligned_buf.align(params_string[1].data(), params_string[1].size()));
|
||||
cereal::CarParamsSP::Reader car_params_sp = cmsg_sp.getRoot<cereal::CarParamsSP>();
|
||||
|
||||
auto safety_configs = car_params.getSafetyConfigs();
|
||||
uint16_t alternative_experience = car_params.getAlternativeExperience();
|
||||
uint16_t safety_param_sp = car_params_sp.getSafetyParam();
|
||||
|
||||
for (int i = 0; i < pandas_.size(); ++i) {
|
||||
// Default to SILENT safety model if not specified
|
||||
@@ -76,8 +83,8 @@ void PandaSafety::setSafetyMode(const std::string ¶ms_string) {
|
||||
safety_param = safety_configs[i].getSafetyParam();
|
||||
}
|
||||
|
||||
LOGW("Panda %d: setting safety model: %d, param: %d, alternative experience: %d", i, (int)safety_model, safety_param, alternative_experience);
|
||||
pandas_[i]->set_alternative_experience(alternative_experience);
|
||||
LOGW("Panda %d: setting safety model: %d, param: %d, alternative experience: %d, param_sp: %d", i, (int)safety_model, safety_param, alternative_experience, safety_param_sp);
|
||||
pandas_[i]->set_alternative_experience(alternative_experience, safety_param_sp);
|
||||
pandas_[i]->set_safety_model(safety_model, safety_param);
|
||||
}
|
||||
}
|
||||
|
||||
@@ -16,8 +16,8 @@ public:
|
||||
|
||||
private:
|
||||
void updateMultiplexingMode();
|
||||
std::string fetchCarParams();
|
||||
void setSafetyMode(const std::string ¶ms_string);
|
||||
std::vector<std::string> fetchCarParams();
|
||||
void setSafetyMode(const std::vector<std::string> ¶ms_string);
|
||||
|
||||
bool initialized_ = false;
|
||||
bool log_once_ = false;
|
||||
|
||||
@@ -1 +1 @@
|
||||
465979047295dad5da3a552db9227ed776a26a79
|
||||
37041a45841e83f0641ef1e87c0e567181d47172
|
||||
@@ -391,7 +391,7 @@ class TestOnroad:
|
||||
result += "----------------- Model Timing -----------------\n"
|
||||
result += "------------------------------------------------\n"
|
||||
cfgs = [
|
||||
("modelV2", 0.045, 0.035),
|
||||
("modelV2", 0.045, 0.040), # TODO: this should be stricter but it's hard to measure exactly
|
||||
("driverStateV2", 0.045, 0.035),
|
||||
]
|
||||
for (s, instant_max, avg_max) in cfgs:
|
||||
|
||||
@@ -67,6 +67,7 @@ FirehosePanel::FirehosePanel(SettingsWindow *parent) : QWidget((QWidget*)parent)
|
||||
"<br><br>"
|
||||
"<b>Frequently Asked Questions</b><br><br>"
|
||||
"<i>Does it matter how or where I drive?</i> Nope, just drive as you normally would.<br><br>"
|
||||
"<i>Do all of my segments get pulled in Firehose Mode?</i> No, we selectively pull a subset of your segments.<br><br>"
|
||||
"<i>What's a good USB-C adapter?</i> Any fast phone or laptop charger should be fine.<br><br>"
|
||||
"<i>Does it matter which software I run?</i> Yes, only upstream openpilot (and particular forks) are able to be used for training."
|
||||
));
|
||||
@@ -85,7 +86,7 @@ FirehosePanel::FirehosePanel(SettingsWindow *parent) : QWidget((QWidget*)parent)
|
||||
QJsonDocument doc = QJsonDocument::fromJson(response.toUtf8());
|
||||
QJsonObject json = doc.object();
|
||||
int count = json["firehose"].toInt();
|
||||
contribution_label->setText(tr("<b>%1 %2</b> of your driving are in the training dataset so far.").arg(count).arg(count == 1 ? "segment" : "segments"));
|
||||
contribution_label->setText(tr("<b>%n segment(s)</b> of your driving is in the training dataset so far.", "", count));
|
||||
contribution_label->show();
|
||||
}
|
||||
});
|
||||
|
||||
@@ -419,33 +419,42 @@
|
||||
<name>FirehosePanel</name>
|
||||
<message>
|
||||
<source>🔥 Firehose Mode 🔥</source>
|
||||
<translation type="unfinished"></translation>
|
||||
<translation>🔥 وضع خرطوم الحريق 🔥</translation>
|
||||
</message>
|
||||
<message>
|
||||
<source>openpilot learns to drive by watching humans, like you, drive.
|
||||
|
||||
Firehose Mode allows you to maximize your training data uploads to improve openpilot's driving models. More data means bigger models, which means better Experimental Mode.</source>
|
||||
<translation type="unfinished"></translation>
|
||||
<translation>يتعلم تطبيق openpilot كيفية القيادة من خلال مشاهدة البشر، مثلك، أثناء القيادة.
|
||||
|
||||
يتيح لك وضع خرطوم الحريق زيادة تحميلات بيانات التدريب لتحسين نماذج القيادة في OpenPilot. كلما زادت البيانات، زادت النماذج، مما يعني وضعًا تجريبيًا أفضل.</translation>
|
||||
</message>
|
||||
<message>
|
||||
<source>Firehose Mode: ACTIVE</source>
|
||||
<translation type="unfinished"></translation>
|
||||
</message>
|
||||
<message>
|
||||
<source>For maximum effectiveness, bring your device inside and connect to a good USB-C adapter and Wi-Fi weekly.<br><br>Firehose Mode can also work while you're driving if connected to a hotspot or unlimited SIM card.<br><br><br><b>Frequently Asked Questions</b><br><br><i>Does it matter how or where I drive?</i> Nope, just drive as you normally would.<br><br><i>What's a good USB-C adapter?</i> Any fast phone or laptop charger should be fine.<br><br><i>Does it matter which software I run?</i> Yes, only upstream openpilot (and particular forks) are able to be used for training.</source>
|
||||
<translation type="unfinished"></translation>
|
||||
</message>
|
||||
<message>
|
||||
<source><b>%1 %2</b> of your driving are in the training dataset so far.</source>
|
||||
<translation type="unfinished"></translation>
|
||||
<translation>وضع خرطوم الحريق: نشط</translation>
|
||||
</message>
|
||||
<message>
|
||||
<source>ACTIVE</source>
|
||||
<translation type="unfinished"></translation>
|
||||
<translation>نشط</translation>
|
||||
</message>
|
||||
<message>
|
||||
<source><span stylesheet='font-size: 60px; font-weight: bold; color: #e74c3c;'>INACTIVE</span>: connect to unmetered network</source>
|
||||
<translation type="unfinished"></translation>
|
||||
<translation><span stylesheet='font-size: 60px; font-weight: bold; color: #e74c3c;'>غير نشط</span>: اتصل بشبكة غير محسوبة</translation>
|
||||
</message>
|
||||
<message>
|
||||
<source>For maximum effectiveness, bring your device inside and connect to a good USB-C adapter and Wi-Fi weekly.<br><br>Firehose Mode can also work while you're driving if connected to a hotspot or unlimited SIM card.<br><br><br><b>Frequently Asked Questions</b><br><br><i>Does it matter how or where I drive?</i> Nope, just drive as you normally would.<br><br><i>Do all of my segments get pulled in Firehose Mode?</i> No, we selectively pull a subset of your segments.<br><br><i>What's a good USB-C adapter?</i> Any fast phone or laptop charger should be fine.<br><br><i>Does it matter which software I run?</i> Yes, only upstream openpilot (and particular forks) are able to be used for training.</source>
|
||||
<translation>للحصول على أقصى فعالية، أحضر جهازك إلى الداخل واتصل بمحول USB-C جيد وشبكة Wi-Fi أسبوعياً.<br><br>يمكن أن يعمل وضع خرطوم الحريق أيضاً أثناء القيادة إذا كنت متصلاً بنقطة اتصال أو ببطاقة SIM غير محدودة.<br><br><br><b>الأسئلة المتكررة</b><br><br><i>هل يهم كيف أو أين أقود؟</i> لا، فقط قد كما تفعل عادة.<br><br><i>هل يتم سحب كل مقاطع رحلاتي في وضع خرطوم الحريق؟</i> لا، نقوم بسحب مجموعة مختارة من مقاطع رحلاتك.<br><br><i>ما هو محول USB-C الجيد؟</i> أي شاحن سريع للهاتف أو اللابتوب يجب أن يكون مناسباً.<br><br><i>هل يهم أي برنامج أستخدم؟</i> نعم، فقط النسخة الأصلية من openpilot (وأفرع معينة) يمكن استخدامها للتدريب.</translation>
|
||||
</message>
|
||||
<message numerus="yes">
|
||||
<source><b>%n segment(s)</b> of your driving is in the training dataset so far.</source>
|
||||
<translation>
|
||||
<numerusform>حتى الآن، يوجد </b>%n مقطع<b>%n من قيادتك في مجموعة بيانات التدريب.</numerusform>
|
||||
<numerusform>حتى الآن، يوجد </b>%n مقطع<b>%n من قيادتك في مجموعة بيانات التدريب.</numerusform>
|
||||
<numerusform>حتى الآن، يوجد </b>%n مقطع<b>%n من قيادتك في مجموعة بيانات التدريب.</numerusform>
|
||||
<numerusform>حتى الآن، يوجد </b>%n مقطع<b>%n من قيادتك في مجموعة بيانات التدريب.</numerusform>
|
||||
<numerusform>حتى الآن، يوجد </b>%n مقطع<b>%n من قيادتك في مجموعة بيانات التدريب.</numerusform>
|
||||
<numerusform>حتى الآن، يوجد </b>%n مقطع<b>%n من قيادتك في مجموعة بيانات التدريب.</numerusform>
|
||||
</translation>
|
||||
</message>
|
||||
</context>
|
||||
<context>
|
||||
@@ -925,7 +934,7 @@ This may take up to a minute.</source>
|
||||
</message>
|
||||
<message>
|
||||
<source>Firehose</source>
|
||||
<translation type="unfinished"></translation>
|
||||
<translation>خرطوم الحريق</translation>
|
||||
</message>
|
||||
</context>
|
||||
<context>
|
||||
@@ -1469,11 +1478,11 @@ This may take up to a minute.</source>
|
||||
</message>
|
||||
<message>
|
||||
<source>Welcome to openpilot</source>
|
||||
<translation type="unfinished"></translation>
|
||||
<translation>مرحباً بكم في openpilot</translation>
|
||||
</message>
|
||||
<message>
|
||||
<source>You must accept the Terms and Conditions to use openpilot. Read the latest terms at <span style='color: #465BEA;'>https://comma.ai/terms</span> before continuing.</source>
|
||||
<translation type="unfinished"></translation>
|
||||
<translation>يجب عليك قبول الشروط والأحكام لاستخدام openpilot. اقرأ أحدث الشروط على <span style='color: #465BEA;'>https://comma.ai/terms</span> قبل الاستمرار.</translation>
|
||||
</message>
|
||||
</context>
|
||||
<context>
|
||||
@@ -1634,15 +1643,15 @@ This may take up to a minute.</source>
|
||||
<name>WiFiPromptWidget</name>
|
||||
<message>
|
||||
<source>Open</source>
|
||||
<translation type="unfinished"></translation>
|
||||
<translation>انفتح</translation>
|
||||
</message>
|
||||
<message>
|
||||
<source>Maximize your training data uploads to improve openpilot's driving models.</source>
|
||||
<translation type="unfinished"></translation>
|
||||
<translation>قم بزيادة تحميلات بيانات التدريب الخاصة بك لتحسين نماذج القيادة الخاصة بـ openpilot.</translation>
|
||||
</message>
|
||||
<message>
|
||||
<source><span style='font-family: "Noto Color Emoji";'>🔥</span> Firehose Mode <span style='font-family: Noto Color Emoji;'>🔥</span></source>
|
||||
<translation type="unfinished"></translation>
|
||||
<translation><span style='font-family: "Noto Color Emoji";'>🔥</span> وضع خرطوم الحريق <span style='font-family: Noto Color Emoji;'>🔥</span></translation>
|
||||
</message>
|
||||
</context>
|
||||
<context>
|
||||
|
||||
@@ -431,14 +431,6 @@ Firehose Mode allows you to maximize your training data uploads to improve openp
|
||||
<source>Firehose Mode: ACTIVE</source>
|
||||
<translation type="unfinished"></translation>
|
||||
</message>
|
||||
<message>
|
||||
<source>For maximum effectiveness, bring your device inside and connect to a good USB-C adapter and Wi-Fi weekly.<br><br>Firehose Mode can also work while you're driving if connected to a hotspot or unlimited SIM card.<br><br><br><b>Frequently Asked Questions</b><br><br><i>Does it matter how or where I drive?</i> Nope, just drive as you normally would.<br><br><i>What's a good USB-C adapter?</i> Any fast phone or laptop charger should be fine.<br><br><i>Does it matter which software I run?</i> Yes, only upstream openpilot (and particular forks) are able to be used for training.</source>
|
||||
<translation type="unfinished"></translation>
|
||||
</message>
|
||||
<message>
|
||||
<source><b>%1 %2</b> of your driving are in the training dataset so far.</source>
|
||||
<translation type="unfinished"></translation>
|
||||
</message>
|
||||
<message>
|
||||
<source>ACTIVE</source>
|
||||
<translation type="unfinished"></translation>
|
||||
@@ -447,6 +439,17 @@ Firehose Mode allows you to maximize your training data uploads to improve openp
|
||||
<source><span stylesheet='font-size: 60px; font-weight: bold; color: #e74c3c;'>INACTIVE</span>: connect to unmetered network</source>
|
||||
<translation type="unfinished"></translation>
|
||||
</message>
|
||||
<message>
|
||||
<source>For maximum effectiveness, bring your device inside and connect to a good USB-C adapter and Wi-Fi weekly.<br><br>Firehose Mode can also work while you're driving if connected to a hotspot or unlimited SIM card.<br><br><br><b>Frequently Asked Questions</b><br><br><i>Does it matter how or where I drive?</i> Nope, just drive as you normally would.<br><br><i>Do all of my segments get pulled in Firehose Mode?</i> No, we selectively pull a subset of your segments.<br><br><i>What's a good USB-C adapter?</i> Any fast phone or laptop charger should be fine.<br><br><i>Does it matter which software I run?</i> Yes, only upstream openpilot (and particular forks) are able to be used for training.</source>
|
||||
<translation type="unfinished"></translation>
|
||||
</message>
|
||||
<message numerus="yes">
|
||||
<source><b>%n segment(s)</b> of your driving is in the training dataset so far.</source>
|
||||
<translation type="unfinished">
|
||||
<numerusform></numerusform>
|
||||
<numerusform></numerusform>
|
||||
</translation>
|
||||
</message>
|
||||
</context>
|
||||
<context>
|
||||
<name>HudRenderer</name>
|
||||
|
||||
@@ -1,6 +1,16 @@
|
||||
<?xml version="1.0" encoding="utf-8"?>
|
||||
<!DOCTYPE TS>
|
||||
<TS version="2.1" language="en_US">
|
||||
<context>
|
||||
<name>FirehosePanel</name>
|
||||
<message numerus="yes">
|
||||
<source><b>%n segment(s)</b> of your driving is in the training dataset so far.</source>
|
||||
<translation>
|
||||
<numerusform><b>%n segment</b> of your driving is in the training dataset so far.</numerusform>
|
||||
<numerusform><b>%n segments</b> of your driving are in the training dataset so far.</numerusform>
|
||||
</translation>
|
||||
</message>
|
||||
</context>
|
||||
<context>
|
||||
<name>InputDialog</name>
|
||||
<message numerus="yes">
|
||||
|
||||
@@ -431,14 +431,6 @@ Firehose Mode allows you to maximize your training data uploads to improve openp
|
||||
<source>Firehose Mode: ACTIVE</source>
|
||||
<translation type="unfinished"></translation>
|
||||
</message>
|
||||
<message>
|
||||
<source>For maximum effectiveness, bring your device inside and connect to a good USB-C adapter and Wi-Fi weekly.<br><br>Firehose Mode can also work while you're driving if connected to a hotspot or unlimited SIM card.<br><br><br><b>Frequently Asked Questions</b><br><br><i>Does it matter how or where I drive?</i> Nope, just drive as you normally would.<br><br><i>What's a good USB-C adapter?</i> Any fast phone or laptop charger should be fine.<br><br><i>Does it matter which software I run?</i> Yes, only upstream openpilot (and particular forks) are able to be used for training.</source>
|
||||
<translation type="unfinished"></translation>
|
||||
</message>
|
||||
<message>
|
||||
<source><b>%1 %2</b> of your driving are in the training dataset so far.</source>
|
||||
<translation type="unfinished"></translation>
|
||||
</message>
|
||||
<message>
|
||||
<source>ACTIVE</source>
|
||||
<translation type="unfinished"></translation>
|
||||
@@ -447,6 +439,17 @@ Firehose Mode allows you to maximize your training data uploads to improve openp
|
||||
<source><span stylesheet='font-size: 60px; font-weight: bold; color: #e74c3c;'>INACTIVE</span>: connect to unmetered network</source>
|
||||
<translation type="unfinished"></translation>
|
||||
</message>
|
||||
<message>
|
||||
<source>For maximum effectiveness, bring your device inside and connect to a good USB-C adapter and Wi-Fi weekly.<br><br>Firehose Mode can also work while you're driving if connected to a hotspot or unlimited SIM card.<br><br><br><b>Frequently Asked Questions</b><br><br><i>Does it matter how or where I drive?</i> Nope, just drive as you normally would.<br><br><i>Do all of my segments get pulled in Firehose Mode?</i> No, we selectively pull a subset of your segments.<br><br><i>What's a good USB-C adapter?</i> Any fast phone or laptop charger should be fine.<br><br><i>Does it matter which software I run?</i> Yes, only upstream openpilot (and particular forks) are able to be used for training.</source>
|
||||
<translation type="unfinished"></translation>
|
||||
</message>
|
||||
<message numerus="yes">
|
||||
<source><b>%n segment(s)</b> of your driving is in the training dataset so far.</source>
|
||||
<translation type="unfinished">
|
||||
<numerusform></numerusform>
|
||||
<numerusform></numerusform>
|
||||
</translation>
|
||||
</message>
|
||||
</context>
|
||||
<context>
|
||||
<name>HudRenderer</name>
|
||||
|
||||
@@ -431,14 +431,6 @@ Firehose Mode allows you to maximize your training data uploads to improve openp
|
||||
<source>Firehose Mode: ACTIVE</source>
|
||||
<translation type="unfinished"></translation>
|
||||
</message>
|
||||
<message>
|
||||
<source>For maximum effectiveness, bring your device inside and connect to a good USB-C adapter and Wi-Fi weekly.<br><br>Firehose Mode can also work while you're driving if connected to a hotspot or unlimited SIM card.<br><br><br><b>Frequently Asked Questions</b><br><br><i>Does it matter how or where I drive?</i> Nope, just drive as you normally would.<br><br><i>What's a good USB-C adapter?</i> Any fast phone or laptop charger should be fine.<br><br><i>Does it matter which software I run?</i> Yes, only upstream openpilot (and particular forks) are able to be used for training.</source>
|
||||
<translation type="unfinished"></translation>
|
||||
</message>
|
||||
<message>
|
||||
<source><b>%1 %2</b> of your driving are in the training dataset so far.</source>
|
||||
<translation type="unfinished"></translation>
|
||||
</message>
|
||||
<message>
|
||||
<source>ACTIVE</source>
|
||||
<translation type="unfinished"></translation>
|
||||
@@ -447,6 +439,17 @@ Firehose Mode allows you to maximize your training data uploads to improve openp
|
||||
<source><span stylesheet='font-size: 60px; font-weight: bold; color: #e74c3c;'>INACTIVE</span>: connect to unmetered network</source>
|
||||
<translation type="unfinished"></translation>
|
||||
</message>
|
||||
<message>
|
||||
<source>For maximum effectiveness, bring your device inside and connect to a good USB-C adapter and Wi-Fi weekly.<br><br>Firehose Mode can also work while you're driving if connected to a hotspot or unlimited SIM card.<br><br><br><b>Frequently Asked Questions</b><br><br><i>Does it matter how or where I drive?</i> Nope, just drive as you normally would.<br><br><i>Do all of my segments get pulled in Firehose Mode?</i> No, we selectively pull a subset of your segments.<br><br><i>What's a good USB-C adapter?</i> Any fast phone or laptop charger should be fine.<br><br><i>Does it matter which software I run?</i> Yes, only upstream openpilot (and particular forks) are able to be used for training.</source>
|
||||
<translation type="unfinished"></translation>
|
||||
</message>
|
||||
<message numerus="yes">
|
||||
<source><b>%n segment(s)</b> of your driving is in the training dataset so far.</source>
|
||||
<translation type="unfinished">
|
||||
<numerusform></numerusform>
|
||||
<numerusform></numerusform>
|
||||
</translation>
|
||||
</message>
|
||||
</context>
|
||||
<context>
|
||||
<name>HudRenderer</name>
|
||||
|
||||
@@ -431,14 +431,6 @@ Firehose Mode allows you to maximize your training data uploads to improve openp
|
||||
<source>Firehose Mode: ACTIVE</source>
|
||||
<translation type="unfinished"></translation>
|
||||
</message>
|
||||
<message>
|
||||
<source>For maximum effectiveness, bring your device inside and connect to a good USB-C adapter and Wi-Fi weekly.<br><br>Firehose Mode can also work while you're driving if connected to a hotspot or unlimited SIM card.<br><br><br><b>Frequently Asked Questions</b><br><br><i>Does it matter how or where I drive?</i> Nope, just drive as you normally would.<br><br><i>What's a good USB-C adapter?</i> Any fast phone or laptop charger should be fine.<br><br><i>Does it matter which software I run?</i> Yes, only upstream openpilot (and particular forks) are able to be used for training.</source>
|
||||
<translation type="unfinished"></translation>
|
||||
</message>
|
||||
<message>
|
||||
<source><b>%1 %2</b> of your driving are in the training dataset so far.</source>
|
||||
<translation type="unfinished"></translation>
|
||||
</message>
|
||||
<message>
|
||||
<source>ACTIVE</source>
|
||||
<translation type="unfinished"></translation>
|
||||
@@ -447,6 +439,16 @@ Firehose Mode allows you to maximize your training data uploads to improve openp
|
||||
<source><span stylesheet='font-size: 60px; font-weight: bold; color: #e74c3c;'>INACTIVE</span>: connect to unmetered network</source>
|
||||
<translation type="unfinished"></translation>
|
||||
</message>
|
||||
<message>
|
||||
<source>For maximum effectiveness, bring your device inside and connect to a good USB-C adapter and Wi-Fi weekly.<br><br>Firehose Mode can also work while you're driving if connected to a hotspot or unlimited SIM card.<br><br><br><b>Frequently Asked Questions</b><br><br><i>Does it matter how or where I drive?</i> Nope, just drive as you normally would.<br><br><i>Do all of my segments get pulled in Firehose Mode?</i> No, we selectively pull a subset of your segments.<br><br><i>What's a good USB-C adapter?</i> Any fast phone or laptop charger should be fine.<br><br><i>Does it matter which software I run?</i> Yes, only upstream openpilot (and particular forks) are able to be used for training.</source>
|
||||
<translation type="unfinished"></translation>
|
||||
</message>
|
||||
<message numerus="yes">
|
||||
<source><b>%n segment(s)</b> of your driving is in the training dataset so far.</source>
|
||||
<translation type="unfinished">
|
||||
<numerusform></numerusform>
|
||||
</translation>
|
||||
</message>
|
||||
</context>
|
||||
<context>
|
||||
<name>HudRenderer</name>
|
||||
|
||||
@@ -129,11 +129,11 @@
|
||||
</message>
|
||||
<message>
|
||||
<source>WARNING: openpilot longitudinal control is in alpha for this car and will disable Automatic Emergency Braking (AEB).</source>
|
||||
<translation>경고: openpilot 가감속 제어 알파 기능으로 차량의 자동긴급제동(AEB)을 비활성화합니다.</translation>
|
||||
<translation>경고: openpilot 가감속 제어는 알파 기능으로 차량의 자동긴급제동(AEB)기능이 작동하지 않습니다.</translation>
|
||||
</message>
|
||||
<message>
|
||||
<source>On this car, openpilot defaults to the car's built-in ACC instead of openpilot's longitudinal control. Enable this to switch to openpilot longitudinal control. Enabling Experimental mode is recommended when enabling openpilot longitudinal control alpha.</source>
|
||||
<translation>이 차량은 openpilot 가감속 제어 대신 기본적으로 차량의 ACC로 가감속을 제어합니다. openpilot의 가감속 제어로 전환하려면 이 기능을 활성화하세요. openpilot 가감속 제어 알파를 활성화하는 경우 실험 모드 활성화를 권장합니다.</translation>
|
||||
<translation>이 차량에서 openpilot은 openpilot 가감속 제어 대신 기본적으로 차량의 ACC로 가감속을 제어합니다. openpilot 가감속 제어로 전환하려면 이 기능을 활성화하세요. openpilot 가감속 제어 알파 기능을 활성화하는 경우 실험 모드 활성화를 권장합니다.</translation>
|
||||
</message>
|
||||
<message>
|
||||
<source>Enable ADB</source>
|
||||
@@ -425,27 +425,31 @@
|
||||
<source>openpilot learns to drive by watching humans, like you, drive.
|
||||
|
||||
Firehose Mode allows you to maximize your training data uploads to improve openpilot's driving models. More data means bigger models, which means better Experimental Mode.</source>
|
||||
<translation type="unfinished"></translation>
|
||||
<translation>오픈파일럿은 여러분과 같은 사람이 운전하는 모습을 보면서 운전하는 법을 배웁니다.
|
||||
|
||||
파이어호스 모드를 사용하면 훈련 데이터 업로드를 최대화하여 오픈파일럿의 주행 모델을 개선할 수 있습니다. 더 많은 데이터는 더 큰 모델을 의미하며, 이는 더 나은 실험 모드를 의미합니다.</translation>
|
||||
</message>
|
||||
<message>
|
||||
<source>Firehose Mode: ACTIVE</source>
|
||||
<translation type="unfinished"></translation>
|
||||
</message>
|
||||
<message>
|
||||
<source>For maximum effectiveness, bring your device inside and connect to a good USB-C adapter and Wi-Fi weekly.<br><br>Firehose Mode can also work while you're driving if connected to a hotspot or unlimited SIM card.<br><br><br><b>Frequently Asked Questions</b><br><br><i>Does it matter how or where I drive?</i> Nope, just drive as you normally would.<br><br><i>What's a good USB-C adapter?</i> Any fast phone or laptop charger should be fine.<br><br><i>Does it matter which software I run?</i> Yes, only upstream openpilot (and particular forks) are able to be used for training.</source>
|
||||
<translation type="unfinished"></translation>
|
||||
</message>
|
||||
<message>
|
||||
<source><b>%1 %2</b> of your driving are in the training dataset so far.</source>
|
||||
<translation type="unfinished"></translation>
|
||||
<translation>파이어호스 모드: 활성화</translation>
|
||||
</message>
|
||||
<message>
|
||||
<source>ACTIVE</source>
|
||||
<translation type="unfinished"></translation>
|
||||
<translation>활성화</translation>
|
||||
</message>
|
||||
<message>
|
||||
<source><span stylesheet='font-size: 60px; font-weight: bold; color: #e74c3c;'>INACTIVE</span>: connect to unmetered network</source>
|
||||
<translation type="unfinished"></translation>
|
||||
<translation><span stylesheet='font-size: 60px; font-weight: bold; color: #e74c3c;'>비활성</span>: 무제한 네트워크에 연결</translation>
|
||||
</message>
|
||||
<message>
|
||||
<source>For maximum effectiveness, bring your device inside and connect to a good USB-C adapter and Wi-Fi weekly.<br><br>Firehose Mode can also work while you're driving if connected to a hotspot or unlimited SIM card.<br><br><br><b>Frequently Asked Questions</b><br><br><i>Does it matter how or where I drive?</i> Nope, just drive as you normally would.<br><br><i>Do all of my segments get pulled in Firehose Mode?</i> No, we selectively pull a subset of your segments.<br><br><i>What's a good USB-C adapter?</i> Any fast phone or laptop charger should be fine.<br><br><i>Does it matter which software I run?</i> Yes, only upstream openpilot (and particular forks) are able to be used for training.</source>
|
||||
<translation>최대한의 효과를 얻으려면 매주 장치를 실내로 가져와 좋은 USB-C 케이블에 연결하고 Wi-Fi에 연결하세요.<br><br>파이어호스 모드는 핫스팟 또는 무제한 SIM 카드에 연결된 경우에는 운전 중에도 작동할 수 있습니다.<br><br><br><b>자주 묻는 질문</b><br><br><i>운전 방법이나 장소가 중요한가요?</i> 아니요, 평소처럼 운전하시면 됩니다.<br><br><i>파이어호스 모드에서 제 모든 구간을 가져오나요?.<br><br><i> 아니요, 저희는 여러분의 구간 중 일부를 선별적으로 가져옵니다.<br><br><i>좋은 USB-C 케이블은 무엇인가요?</i> 휴대폰이나 노트북 고속 충전기가 있으면 됩니다.<br><br><i>어떤 소프트웨어를 실행하는지가 중요한가요?</i> 예, 오직 공식 openpilot의 특정 포크만 트레이닝에 사용할 수 있습니다.</translation>
|
||||
</message>
|
||||
<message numerus="yes">
|
||||
<source><b>%n segment(s)</b> of your driving is in the training dataset so far.</source>
|
||||
<translation type="unfinished">
|
||||
<numerusform></numerusform>
|
||||
</translation>
|
||||
</message>
|
||||
</context>
|
||||
<context>
|
||||
@@ -604,7 +608,7 @@ Pause Steering: ALC will be paused after the brake pedal is manually pressed.</s
|
||||
</message>
|
||||
<message>
|
||||
<source>openpilot was unable to identify your car. Your car is either unsupported or its ECUs are not recognized. Please submit a pull request to add the firmware versions to the proper vehicle. Need help? Join discord.comma.ai.</source>
|
||||
<translation>openpilot이 차량을 식별할 수 없었습니다. 지원되지 않는 차량이거나 ECU가 인식되지 않습니다. 해당 차량에 맞는 펌웨어 버전을 추가하려면 PR을 제출하세요. 도움이 필요하시면 discord.comma.ai에 가입하세요.</translation>
|
||||
<translation>openpilot이 차량을 식별할 수 없습니다. 지원되지 않는 차량이거나 ECU가 인식되지 않습니다. 해당 차량에 맞는 펌웨어 버전을 추가하려면 PR을 제출하세요. 도움이 필요하시면 discord.comma.ai에 가입하세요.</translation>
|
||||
</message>
|
||||
<message>
|
||||
<source>openpilot detected a change in the device's mounting position. Ensure the device is fully seated in the mount and the mount is firmly secured to the windshield.</source>
|
||||
@@ -612,7 +616,7 @@ Pause Steering: ALC will be paused after the brake pedal is manually pressed.</s
|
||||
</message>
|
||||
<message>
|
||||
<source>Device temperature too high. System cooling down before starting. Current internal component temperature: %1</source>
|
||||
<translation>장치 온도가 너무 높습니다. 시작하기 전에 온도를 낮춰주세요. 현재 내부 부품 온도: %1</translation>
|
||||
<translation>장치의 온도가 너무 높습니다. 시작 전에 온도를 낮춰주세요. 현재 내부 구성 요소 온도: %1</translation>
|
||||
</message>
|
||||
<message>
|
||||
<source>sunnypilot is now in Always Offroad mode. sunnypilot won't start until Always Offroad mode is disabled. Go to "Settings" -> "Device" to exit Always Offroad mode.</source>
|
||||
@@ -1449,11 +1453,11 @@ This may take up to a minute.</source>
|
||||
</message>
|
||||
<message>
|
||||
<source>Welcome to openpilot</source>
|
||||
<translation type="unfinished"></translation>
|
||||
<translation>오픈 파일럿에 오신 것을 환영합니다.</translation>
|
||||
</message>
|
||||
<message>
|
||||
<source>You must accept the Terms and Conditions to use openpilot. Read the latest terms at <span style='color: #465BEA;'>https://comma.ai/terms</span> before continuing.</source>
|
||||
<translation type="unfinished"></translation>
|
||||
<translation>오픈파일럿을 사용하려면 이용약관에 동의해야 합니다. 최신 약관은 <span style='color: #465BEA;'>https://comma.ai/terms</span> 에서 최신 약관을 읽은 후 계속하세요.</translation>
|
||||
</message>
|
||||
</context>
|
||||
<context>
|
||||
@@ -1556,7 +1560,7 @@ This may take up to a minute.</source>
|
||||
</message>
|
||||
<message>
|
||||
<source>The driving visualization will transition to the road-facing wide-angle camera at low speeds to better show some turns. The Experimental mode logo will also be shown in the top right corner.</source>
|
||||
<translation>운전 시각화는 일부 회전을 더 잘 보여주기 위해 저속에서 도로를 향한 광각 카메라로 전환됩니다. 실험 모드 로고도 우측 상단에 표시됩니다.</translation>
|
||||
<translation>운전 시각화는 일부 회전을 더 잘 보여주기 위해 저속에서 도로를 향한 광각 카메라로 전환됩니다. 우측 상단에 실험 모드 로고가 표시됩니다.</translation>
|
||||
</message>
|
||||
<message>
|
||||
<source>Always-On Driver Monitoring</source>
|
||||
@@ -1564,7 +1568,7 @@ This may take up to a minute.</source>
|
||||
</message>
|
||||
<message>
|
||||
<source>Enable driver monitoring even when openpilot is not engaged.</source>
|
||||
<translation>Openpilot이 활성화되지 않은 경우에도 드라이버 모니터링을 활성화합니다.</translation>
|
||||
<translation>openpilot이 활성화되지 않은 경우에도 드라이버 모니터링을 활성화합니다.</translation>
|
||||
</message>
|
||||
<message>
|
||||
<source>Enable Dynamic Experimental Control</source>
|
||||
|
||||
@@ -419,33 +419,38 @@
|
||||
<name>FirehosePanel</name>
|
||||
<message>
|
||||
<source>🔥 Firehose Mode 🔥</source>
|
||||
<translation>🔥 Mode Firehose 🔥</translation>
|
||||
<translation>🔥 Modo Firehose 🔥</translation>
|
||||
</message>
|
||||
<message>
|
||||
<source>openpilot learns to drive by watching humans, like you, drive.
|
||||
|
||||
Firehose Mode allows you to maximize your training data uploads to improve openpilot's driving models. More data means bigger models, which means better Experimental Mode.</source>
|
||||
<translation type="unfinished"></translation>
|
||||
<translation>O openpilot aprende a dirigir observando humanos, como você, dirigirem.
|
||||
|
||||
O Modo Firehose permite maximizar o envio de dados de treinamento para melhorar os modelos de direção do openpilot. Mais dados significam modelos maiores, o que resulta em um Modo Experimental melhor.</translation>
|
||||
</message>
|
||||
<message>
|
||||
<source>Firehose Mode: ACTIVE</source>
|
||||
<translation type="unfinished"></translation>
|
||||
</message>
|
||||
<message>
|
||||
<source>For maximum effectiveness, bring your device inside and connect to a good USB-C adapter and Wi-Fi weekly.<br><br>Firehose Mode can also work while you're driving if connected to a hotspot or unlimited SIM card.<br><br><br><b>Frequently Asked Questions</b><br><br><i>Does it matter how or where I drive?</i> Nope, just drive as you normally would.<br><br><i>What's a good USB-C adapter?</i> Any fast phone or laptop charger should be fine.<br><br><i>Does it matter which software I run?</i> Yes, only upstream openpilot (and particular forks) are able to be used for training.</source>
|
||||
<translation type="unfinished"></translation>
|
||||
</message>
|
||||
<message>
|
||||
<source><b>%1 %2</b> of your driving are in the training dataset so far.</source>
|
||||
<translation type="unfinished"></translation>
|
||||
<translation>Modo Firehose: ATIVO</translation>
|
||||
</message>
|
||||
<message>
|
||||
<source>ACTIVE</source>
|
||||
<translation type="unfinished"></translation>
|
||||
<translation>ATIVO</translation>
|
||||
</message>
|
||||
<message>
|
||||
<source><span stylesheet='font-size: 60px; font-weight: bold; color: #e74c3c;'>INACTIVE</span>: connect to unmetered network</source>
|
||||
<translation type="unfinished"></translation>
|
||||
<translation><span stylesheet='font-size: 60px; font-weight: bold; color: #e74c3c;'>INATIVO</span>: conecte-se a uma rede sem restrição <br> de dados</translation>
|
||||
</message>
|
||||
<message>
|
||||
<source>For maximum effectiveness, bring your device inside and connect to a good USB-C adapter and Wi-Fi weekly.<br><br>Firehose Mode can also work while you're driving if connected to a hotspot or unlimited SIM card.<br><br><br><b>Frequently Asked Questions</b><br><br><i>Does it matter how or where I drive?</i> Nope, just drive as you normally would.<br><br><i>Do all of my segments get pulled in Firehose Mode?</i> No, we selectively pull a subset of your segments.<br><br><i>What's a good USB-C adapter?</i> Any fast phone or laptop charger should be fine.<br><br><i>Does it matter which software I run?</i> Yes, only upstream openpilot (and particular forks) are able to be used for training.</source>
|
||||
<translation>Para maior eficácia, leve seu dispositivo para dentro de casa e conecte-o a um bom adaptador USB-C e Wi-Fi semanalmente.<br><br>O Modo Firehose também pode funcionar enquanto você dirige, se estiver conectado a um hotspot ou a um chip SIM com dados ilimitados.<br><br><br><b>Perguntas Frequentes</b><br><br><i>Importa como ou onde eu dirijo?</i> Não, basta dirigir normalmente.<br><br><i>Todos os meus segmentos são enviados no Modo Firehose?</i> Não, selecionamos apenas um subconjunto dos seus segmentos.<br><br><i>Qual é um bom adaptador USB-C?</i> Qualquer carregador rápido de telefone ou laptop deve ser suficiente.<br><br><i>Importa qual software eu uso?</i> Sim, apenas o openpilot oficial (e alguns forks específicos) podem ser usados para treinamento.</translation>
|
||||
</message>
|
||||
<message numerus="yes">
|
||||
<source><b>%n segment(s)</b> of your driving is in the training dataset so far.</source>
|
||||
<translation>
|
||||
<numerusform><b>%n segmento</b> da sua direção está no conjunto de dados de treinamento até agora.</numerusform>
|
||||
<numerusform><b>%n segmentos</b> da sua direção estão no conjunto de dados de treinamento até agora.</numerusform>
|
||||
</translation>
|
||||
</message>
|
||||
</context>
|
||||
<context>
|
||||
@@ -1453,11 +1458,11 @@ Isso pode levar até um minuto.</translation>
|
||||
</message>
|
||||
<message>
|
||||
<source>Welcome to openpilot</source>
|
||||
<translation type="unfinished"></translation>
|
||||
<translation>Bem vindo ao openpilot</translation>
|
||||
</message>
|
||||
<message>
|
||||
<source>You must accept the Terms and Conditions to use openpilot. Read the latest terms at <span style='color: #465BEA;'>https://comma.ai/terms</span> before continuing.</source>
|
||||
<translation type="unfinished"></translation>
|
||||
<translation>Você deve aceitar os Termos e Condições para usar o openpilot. Leia os termos mais recentes em <span style='color: #465BEA;'>https://comma.ai/terms</span> antes de continuar.</translation>
|
||||
</message>
|
||||
</context>
|
||||
<context>
|
||||
@@ -1626,7 +1631,7 @@ Isso pode levar até um minuto.</translation>
|
||||
</message>
|
||||
<message>
|
||||
<source><span style='font-family: "Noto Color Emoji";'>🔥</span> Firehose Mode <span style='font-family: Noto Color Emoji;'>🔥</span></source>
|
||||
<translation><span style='font-family: "Noto Color Emoji";'>🔥</span> Mode Firehose <span style='font-family: Noto Color Emoji;'>🔥</span></translation>
|
||||
<translation><span style='font-family: "Noto Color Emoji";'>🔥</span> Modo Firehose <span style='font-family: Noto Color Emoji;'>🔥</span></translation>
|
||||
</message>
|
||||
</context>
|
||||
<context>
|
||||
|
||||
@@ -431,14 +431,6 @@ Firehose Mode allows you to maximize your training data uploads to improve openp
|
||||
<source>Firehose Mode: ACTIVE</source>
|
||||
<translation type="unfinished"></translation>
|
||||
</message>
|
||||
<message>
|
||||
<source>For maximum effectiveness, bring your device inside and connect to a good USB-C adapter and Wi-Fi weekly.<br><br>Firehose Mode can also work while you're driving if connected to a hotspot or unlimited SIM card.<br><br><br><b>Frequently Asked Questions</b><br><br><i>Does it matter how or where I drive?</i> Nope, just drive as you normally would.<br><br><i>What's a good USB-C adapter?</i> Any fast phone or laptop charger should be fine.<br><br><i>Does it matter which software I run?</i> Yes, only upstream openpilot (and particular forks) are able to be used for training.</source>
|
||||
<translation type="unfinished"></translation>
|
||||
</message>
|
||||
<message>
|
||||
<source><b>%1 %2</b> of your driving are in the training dataset so far.</source>
|
||||
<translation type="unfinished"></translation>
|
||||
</message>
|
||||
<message>
|
||||
<source>ACTIVE</source>
|
||||
<translation type="unfinished"></translation>
|
||||
@@ -447,6 +439,16 @@ Firehose Mode allows you to maximize your training data uploads to improve openp
|
||||
<source><span stylesheet='font-size: 60px; font-weight: bold; color: #e74c3c;'>INACTIVE</span>: connect to unmetered network</source>
|
||||
<translation type="unfinished"></translation>
|
||||
</message>
|
||||
<message>
|
||||
<source>For maximum effectiveness, bring your device inside and connect to a good USB-C adapter and Wi-Fi weekly.<br><br>Firehose Mode can also work while you're driving if connected to a hotspot or unlimited SIM card.<br><br><br><b>Frequently Asked Questions</b><br><br><i>Does it matter how or where I drive?</i> Nope, just drive as you normally would.<br><br><i>Do all of my segments get pulled in Firehose Mode?</i> No, we selectively pull a subset of your segments.<br><br><i>What's a good USB-C adapter?</i> Any fast phone or laptop charger should be fine.<br><br><i>Does it matter which software I run?</i> Yes, only upstream openpilot (and particular forks) are able to be used for training.</source>
|
||||
<translation type="unfinished"></translation>
|
||||
</message>
|
||||
<message numerus="yes">
|
||||
<source><b>%n segment(s)</b> of your driving is in the training dataset so far.</source>
|
||||
<translation type="unfinished">
|
||||
<numerusform></numerusform>
|
||||
</translation>
|
||||
</message>
|
||||
</context>
|
||||
<context>
|
||||
<name>HudRenderer</name>
|
||||
|
||||
@@ -431,14 +431,6 @@ Firehose Mode allows you to maximize your training data uploads to improve openp
|
||||
<source>Firehose Mode: ACTIVE</source>
|
||||
<translation type="unfinished"></translation>
|
||||
</message>
|
||||
<message>
|
||||
<source>For maximum effectiveness, bring your device inside and connect to a good USB-C adapter and Wi-Fi weekly.<br><br>Firehose Mode can also work while you're driving if connected to a hotspot or unlimited SIM card.<br><br><br><b>Frequently Asked Questions</b><br><br><i>Does it matter how or where I drive?</i> Nope, just drive as you normally would.<br><br><i>What's a good USB-C adapter?</i> Any fast phone or laptop charger should be fine.<br><br><i>Does it matter which software I run?</i> Yes, only upstream openpilot (and particular forks) are able to be used for training.</source>
|
||||
<translation type="unfinished"></translation>
|
||||
</message>
|
||||
<message>
|
||||
<source><b>%1 %2</b> of your driving are in the training dataset so far.</source>
|
||||
<translation type="unfinished"></translation>
|
||||
</message>
|
||||
<message>
|
||||
<source>ACTIVE</source>
|
||||
<translation type="unfinished"></translation>
|
||||
@@ -447,6 +439,16 @@ Firehose Mode allows you to maximize your training data uploads to improve openp
|
||||
<source><span stylesheet='font-size: 60px; font-weight: bold; color: #e74c3c;'>INACTIVE</span>: connect to unmetered network</source>
|
||||
<translation type="unfinished"></translation>
|
||||
</message>
|
||||
<message>
|
||||
<source>For maximum effectiveness, bring your device inside and connect to a good USB-C adapter and Wi-Fi weekly.<br><br>Firehose Mode can also work while you're driving if connected to a hotspot or unlimited SIM card.<br><br><br><b>Frequently Asked Questions</b><br><br><i>Does it matter how or where I drive?</i> Nope, just drive as you normally would.<br><br><i>Do all of my segments get pulled in Firehose Mode?</i> No, we selectively pull a subset of your segments.<br><br><i>What's a good USB-C adapter?</i> Any fast phone or laptop charger should be fine.<br><br><i>Does it matter which software I run?</i> Yes, only upstream openpilot (and particular forks) are able to be used for training.</source>
|
||||
<translation type="unfinished"></translation>
|
||||
</message>
|
||||
<message numerus="yes">
|
||||
<source><b>%n segment(s)</b> of your driving is in the training dataset so far.</source>
|
||||
<translation type="unfinished">
|
||||
<numerusform></numerusform>
|
||||
</translation>
|
||||
</message>
|
||||
</context>
|
||||
<context>
|
||||
<name>HudRenderer</name>
|
||||
|
||||
@@ -431,14 +431,6 @@ Firehose Mode allows you to maximize your training data uploads to improve openp
|
||||
<source>Firehose Mode: ACTIVE</source>
|
||||
<translation type="unfinished"></translation>
|
||||
</message>
|
||||
<message>
|
||||
<source>For maximum effectiveness, bring your device inside and connect to a good USB-C adapter and Wi-Fi weekly.<br><br>Firehose Mode can also work while you're driving if connected to a hotspot or unlimited SIM card.<br><br><br><b>Frequently Asked Questions</b><br><br><i>Does it matter how or where I drive?</i> Nope, just drive as you normally would.<br><br><i>What's a good USB-C adapter?</i> Any fast phone or laptop charger should be fine.<br><br><i>Does it matter which software I run?</i> Yes, only upstream openpilot (and particular forks) are able to be used for training.</source>
|
||||
<translation type="unfinished"></translation>
|
||||
</message>
|
||||
<message>
|
||||
<source><b>%1 %2</b> of your driving are in the training dataset so far.</source>
|
||||
<translation type="unfinished"></translation>
|
||||
</message>
|
||||
<message>
|
||||
<source>ACTIVE</source>
|
||||
<translation type="unfinished"></translation>
|
||||
@@ -447,6 +439,16 @@ Firehose Mode allows you to maximize your training data uploads to improve openp
|
||||
<source><span stylesheet='font-size: 60px; font-weight: bold; color: #e74c3c;'>INACTIVE</span>: connect to unmetered network</source>
|
||||
<translation type="unfinished"></translation>
|
||||
</message>
|
||||
<message>
|
||||
<source>For maximum effectiveness, bring your device inside and connect to a good USB-C adapter and Wi-Fi weekly.<br><br>Firehose Mode can also work while you're driving if connected to a hotspot or unlimited SIM card.<br><br><br><b>Frequently Asked Questions</b><br><br><i>Does it matter how or where I drive?</i> Nope, just drive as you normally would.<br><br><i>Do all of my segments get pulled in Firehose Mode?</i> No, we selectively pull a subset of your segments.<br><br><i>What's a good USB-C adapter?</i> Any fast phone or laptop charger should be fine.<br><br><i>Does it matter which software I run?</i> Yes, only upstream openpilot (and particular forks) are able to be used for training.</source>
|
||||
<translation type="unfinished"></translation>
|
||||
</message>
|
||||
<message numerus="yes">
|
||||
<source><b>%n segment(s)</b> of your driving is in the training dataset so far.</source>
|
||||
<translation type="unfinished">
|
||||
<numerusform></numerusform>
|
||||
</translation>
|
||||
</message>
|
||||
</context>
|
||||
<context>
|
||||
<name>HudRenderer</name>
|
||||
|
||||
@@ -431,14 +431,6 @@ Firehose Mode allows you to maximize your training data uploads to improve openp
|
||||
<source>Firehose Mode: ACTIVE</source>
|
||||
<translation type="unfinished"></translation>
|
||||
</message>
|
||||
<message>
|
||||
<source>For maximum effectiveness, bring your device inside and connect to a good USB-C adapter and Wi-Fi weekly.<br><br>Firehose Mode can also work while you're driving if connected to a hotspot or unlimited SIM card.<br><br><br><b>Frequently Asked Questions</b><br><br><i>Does it matter how or where I drive?</i> Nope, just drive as you normally would.<br><br><i>What's a good USB-C adapter?</i> Any fast phone or laptop charger should be fine.<br><br><i>Does it matter which software I run?</i> Yes, only upstream openpilot (and particular forks) are able to be used for training.</source>
|
||||
<translation type="unfinished"></translation>
|
||||
</message>
|
||||
<message>
|
||||
<source><b>%1 %2</b> of your driving are in the training dataset so far.</source>
|
||||
<translation type="unfinished"></translation>
|
||||
</message>
|
||||
<message>
|
||||
<source>ACTIVE</source>
|
||||
<translation type="unfinished"></translation>
|
||||
@@ -447,6 +439,16 @@ Firehose Mode allows you to maximize your training data uploads to improve openp
|
||||
<source><span stylesheet='font-size: 60px; font-weight: bold; color: #e74c3c;'>INACTIVE</span>: connect to unmetered network</source>
|
||||
<translation type="unfinished"></translation>
|
||||
</message>
|
||||
<message>
|
||||
<source>For maximum effectiveness, bring your device inside and connect to a good USB-C adapter and Wi-Fi weekly.<br><br>Firehose Mode can also work while you're driving if connected to a hotspot or unlimited SIM card.<br><br><br><b>Frequently Asked Questions</b><br><br><i>Does it matter how or where I drive?</i> Nope, just drive as you normally would.<br><br><i>Do all of my segments get pulled in Firehose Mode?</i> No, we selectively pull a subset of your segments.<br><br><i>What's a good USB-C adapter?</i> Any fast phone or laptop charger should be fine.<br><br><i>Does it matter which software I run?</i> Yes, only upstream openpilot (and particular forks) are able to be used for training.</source>
|
||||
<translation type="unfinished"></translation>
|
||||
</message>
|
||||
<message numerus="yes">
|
||||
<source><b>%n segment(s)</b> of your driving is in the training dataset so far.</source>
|
||||
<translation type="unfinished">
|
||||
<numerusform></numerusform>
|
||||
</translation>
|
||||
</message>
|
||||
</context>
|
||||
<context>
|
||||
<name>HudRenderer</name>
|
||||
|
||||
@@ -27,8 +27,7 @@ Last updated: July 29, 2024
|
||||
from openpilot.common.params import Params
|
||||
|
||||
from opendbc.safety import ALTERNATIVE_EXPERIENCE
|
||||
from opendbc.car.hyundai.values import HyundaiSafetyFlags
|
||||
from opendbc.sunnypilot.car.hyundai.values import HyundaiFlagsSP
|
||||
from opendbc.sunnypilot.car.hyundai.values import HyundaiFlagsSP, HyundaiSafetyFlagsSP
|
||||
|
||||
|
||||
class MadsParams:
|
||||
@@ -55,7 +54,7 @@ class MadsParams:
|
||||
hyundai_cruise_main_toggleable = True
|
||||
if hyundai_cruise_main_toggleable:
|
||||
CP_SP.flags |= HyundaiFlagsSP.LONGITUDINAL_MAIN_CRUISE_TOGGLEABLE.value
|
||||
CP.safetyConfigs[-1].safetyParam |= HyundaiSafetyFlags.FLAG_HYUNDAI_LONG_MAIN_CRUISE_TOGGLEABLE.value
|
||||
CP_SP.safetyParam |= HyundaiSafetyFlagsSP.LONG_MAIN_CRUISE_TOGGLEABLE
|
||||
|
||||
# MADS is currently not supported in Tesla due to lack of consistent states to engage controls
|
||||
# TODO-SP: To enable MADS for Tesla, identify consistent signals for MADS toggling
|
||||
|
||||
@@ -141,7 +141,8 @@ void CameraState::set_camera_exposure(float grey_frac) {
|
||||
// TODO: Lower latency to 2 frames, by using the histogram outputted by the sensor we can do AE before the debayering is complete
|
||||
|
||||
const auto &sensor = camera.sensor;
|
||||
const float cur_ev_ = cur_ev[camera.buf.cur_frame_data.frame_id % 3] * sensor->ev_scale;
|
||||
// Offset idx by one to not get stuck in self loop
|
||||
const float cur_ev_ = cur_ev[(camera.buf.cur_frame_data.frame_id - 1) % 3] * sensor->ev_scale;
|
||||
|
||||
// Scale target grey between min and 0.4 depending on lighting conditions
|
||||
float new_target_grey = std::clamp(0.4 - 0.3 * log2(1.0 + sensor->target_grey_factor*cur_ev_) / log2(6000.0), target_grey_minimums[camera.cc.camera_num], 0.4);
|
||||
|
||||
@@ -1258,6 +1258,8 @@ void SpectraCamera::camera_close() {
|
||||
LOG("-- Stop devices %d", cc.camera_num);
|
||||
|
||||
if (enabled) {
|
||||
clear_req_queue();
|
||||
|
||||
// ret = device_control(sensor_fd, CAM_STOP_DEV, session_handle, sensor_dev_handle);
|
||||
// LOGD("stop sensor: %d", ret);
|
||||
int ret = device_control(m->isp_fd, CAM_STOP_DEV, session_handle, isp_dev_handle);
|
||||
@@ -1404,7 +1406,9 @@ bool SpectraCamera::waitForFrameReady(uint64_t request_id) {
|
||||
struct cam_sync_wait sync_wait = {};
|
||||
sync_wait.sync_obj = sync_obj;
|
||||
sync_wait.timeout_ms = stress_test(sync_type) ? 1 : timeout_ms;
|
||||
return do_sync_control(m->cam_sync_fd, CAM_SYNC_WAIT, &sync_wait, sizeof(sync_wait)) == 0;
|
||||
bool ret = do_sync_control(m->cam_sync_fd, CAM_SYNC_WAIT, &sync_wait, sizeof(sync_wait)) == 0;
|
||||
if (!ret) LOGE("camera %d %s failed", cc.camera_num, sync_type);
|
||||
return ret;
|
||||
};
|
||||
|
||||
// wait for frame from IFE
|
||||
|
||||
@@ -6,9 +6,8 @@
|
||||
#include "common/util.h"
|
||||
|
||||
int main(int argc, char *argv[]) {
|
||||
int ret = util::set_realtime_priority(53);
|
||||
assert(ret == 0);
|
||||
ret = util::set_core_affinity({6});
|
||||
// doesn't need RT priority since we're using isolcpus
|
||||
int ret = util::set_core_affinity({6});
|
||||
assert(ret == 0 || Params().getBool("IsOffroad")); // failure ok while offroad due to offlining cores
|
||||
|
||||
camerad_thread();
|
||||
|
||||
@@ -56,28 +56,28 @@
|
||||
},
|
||||
{
|
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"name": "boot",
|
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"url": "https://commadist.azureedge.net/agnosupdate/boot-bca7573652def58a0afc40bbdd550d63dc08ed2e925ace69032aef84bb9dc4ba.img.xz",
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||||
"hash": "bca7573652def58a0afc40bbdd550d63dc08ed2e925ace69032aef84bb9dc4ba",
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"hash_raw": "bca7573652def58a0afc40bbdd550d63dc08ed2e925ace69032aef84bb9dc4ba",
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"size": 18475008,
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"url": "https://commadist.azureedge.net/agnosupdate/boot-0d0d4d5a32e00b46fa36180b4a96337f2a53302d8bd0faee95f8fe1063d1e24a.img.xz",
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"hash": "0d0d4d5a32e00b46fa36180b4a96337f2a53302d8bd0faee95f8fe1063d1e24a",
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"hash_raw": "0d0d4d5a32e00b46fa36180b4a96337f2a53302d8bd0faee95f8fe1063d1e24a",
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"size": 18479104,
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"sparse": false,
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"full_check": true,
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"has_ab": true,
|
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"ondevice_hash": "8907415564e8a242548e871b534dcd53240fe4e4517700c6c85b5637e365f0b0"
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"ondevice_hash": "47b2096995578a5078e393c33108b42756009dbb361c43c508fc93cd8bda99cc"
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},
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{
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"name": "system",
|
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"url": "https://commadist.azureedge.net/agnosupdate/system-5612484e7f255659c0845de620e7c733afd2e1b939f9464f5ef039721bb7cba9.img.xz",
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"hash": "e4872f4132111b7b28586d978dd01bb48ffa031e103d029ebede7613c1bc2aa6",
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"hash_raw": "5612484e7f255659c0845de620e7c733afd2e1b939f9464f5ef039721bb7cba9",
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"url": "https://commadist.azureedge.net/agnosupdate/system-ff2da7bc34a1ad8e2831a13a49685243957a51b762d8f28e14e98ac90e84d211.img.xz",
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"hash": "fbda983c40e75d8c4784a45c687f27dd27f97f7f0e9a71b4981ec2092ff68a72",
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"size": 4404019200,
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"sparse": true,
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"full_check": false,
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"has_ab": true,
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"ondevice_hash": "4e5e680b4ac387ddc974b32dd3d5ec1d76282511eab974866b3b72399034985e",
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"ondevice_hash": "428c744458d5f35199aab96a0928876c9deeff3e753e95044291408ba244f0af",
|
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"alt": {
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||||
"hash": "5612484e7f255659c0845de620e7c733afd2e1b939f9464f5ef039721bb7cba9",
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"url": "https://commadist.azureedge.net/agnosupdate/system-5612484e7f255659c0845de620e7c733afd2e1b939f9464f5ef039721bb7cba9.img",
|
||||
"hash": "ff2da7bc34a1ad8e2831a13a49685243957a51b762d8f28e14e98ac90e84d211",
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"url": "https://commadist.azureedge.net/agnosupdate/system-ff2da7bc34a1ad8e2831a13a49685243957a51b762d8f28e14e98ac90e84d211.img",
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"size": 4404019200
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}
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}
|
||||
|
||||
@@ -339,62 +339,62 @@
|
||||
},
|
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{
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"name": "boot",
|
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"url": "https://commadist.azureedge.net/agnosupdate/boot-bca7573652def58a0afc40bbdd550d63dc08ed2e925ace69032aef84bb9dc4ba.img.xz",
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"hash": "bca7573652def58a0afc40bbdd550d63dc08ed2e925ace69032aef84bb9dc4ba",
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"hash_raw": "bca7573652def58a0afc40bbdd550d63dc08ed2e925ace69032aef84bb9dc4ba",
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"size": 18475008,
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"url": "https://commadist.azureedge.net/agnosupdate/boot-0d0d4d5a32e00b46fa36180b4a96337f2a53302d8bd0faee95f8fe1063d1e24a.img.xz",
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"hash": "0d0d4d5a32e00b46fa36180b4a96337f2a53302d8bd0faee95f8fe1063d1e24a",
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"hash_raw": "0d0d4d5a32e00b46fa36180b4a96337f2a53302d8bd0faee95f8fe1063d1e24a",
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"size": 18479104,
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"sparse": false,
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"full_check": true,
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"has_ab": true,
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"ondevice_hash": "8907415564e8a242548e871b534dcd53240fe4e4517700c6c85b5637e365f0b0"
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"ondevice_hash": "47b2096995578a5078e393c33108b42756009dbb361c43c508fc93cd8bda99cc"
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},
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{
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"name": "system",
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"url": "https://commadist.azureedge.net/agnosupdate/system-5612484e7f255659c0845de620e7c733afd2e1b939f9464f5ef039721bb7cba9.img.xz",
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"hash": "e4872f4132111b7b28586d978dd01bb48ffa031e103d029ebede7613c1bc2aa6",
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"hash_raw": "5612484e7f255659c0845de620e7c733afd2e1b939f9464f5ef039721bb7cba9",
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"url": "https://commadist.azureedge.net/agnosupdate/system-ff2da7bc34a1ad8e2831a13a49685243957a51b762d8f28e14e98ac90e84d211.img.xz",
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"hash": "fbda983c40e75d8c4784a45c687f27dd27f97f7f0e9a71b4981ec2092ff68a72",
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"hash_raw": "ff2da7bc34a1ad8e2831a13a49685243957a51b762d8f28e14e98ac90e84d211",
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"size": 4404019200,
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"sparse": true,
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"full_check": false,
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"has_ab": true,
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"ondevice_hash": "4e5e680b4ac387ddc974b32dd3d5ec1d76282511eab974866b3b72399034985e",
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"ondevice_hash": "428c744458d5f35199aab96a0928876c9deeff3e753e95044291408ba244f0af",
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"alt": {
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"hash": "5612484e7f255659c0845de620e7c733afd2e1b939f9464f5ef039721bb7cba9",
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"url": "https://commadist.azureedge.net/agnosupdate/system-5612484e7f255659c0845de620e7c733afd2e1b939f9464f5ef039721bb7cba9.img",
|
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"hash": "ff2da7bc34a1ad8e2831a13a49685243957a51b762d8f28e14e98ac90e84d211",
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"url": "https://commadist.azureedge.net/agnosupdate/system-ff2da7bc34a1ad8e2831a13a49685243957a51b762d8f28e14e98ac90e84d211.img",
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"size": 4404019200
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}
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},
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{
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"name": "userdata_90",
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"url": "https://commadist.azureedge.net/agnosupdate/userdata_90-16c037fa42ee99bc6ec92909efc8a8075a0e8a0232a7d90e39e7d40a7bd0ee8e.img.xz",
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"hash_raw": "16c037fa42ee99bc6ec92909efc8a8075a0e8a0232a7d90e39e7d40a7bd0ee8e",
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"url": "https://commadist.azureedge.net/agnosupdate/userdata_90-17f46ba0d0eec10cf14804c84d9bcf4f6fa864074f1b90ff2fb4873399d64b1a.img.xz",
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"hash": "1442ae218daff960783bc493a32dd489fa787e4025c64fa3132f48b1e627647f",
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"sparse": true,
|
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"full_check": true,
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"has_ab": false,
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"ondevice_hash": "7199262f209abbb07be5eece505ac4d4c7ba8957f2d9ff7b1ac1ef2063461665"
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||||
"ondevice_hash": "a64fea9c3a7bec11b850a55d50ceb30a032742c90aadf0ce35cdbef9349bebba"
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||||
},
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{
|
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"name": "userdata_89",
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"url": "https://commadist.azureedge.net/agnosupdate/userdata_89-62c2c41470282b581ec1bbbe0375fb3b6c66df2f4bc3dc6c6fdf796f1797f136.img.xz",
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||||
"hash": "d66f894436fa11d4ff00f8a84e54d9e23a6492b0087f69bb958d2ab0bdc6dfba",
|
||||
"hash_raw": "62c2c41470282b581ec1bbbe0375fb3b6c66df2f4bc3dc6c6fdf796f1797f136",
|
||||
"url": "https://commadist.azureedge.net/agnosupdate/userdata_89-69b2404839f87b1de5c05766550ca0217d5ed566c9f2ea41c46b5a301540a3ac.img.xz",
|
||||
"hash": "332e6cf5c221690a01ebfd0582420e039c7796a8fb2d499e44a8b657dffe4af2",
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||||
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||||
"size": 95563022336,
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||||
"sparse": true,
|
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"full_check": true,
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"has_ab": false,
|
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"ondevice_hash": "f1d3685618f6d1bde24ce6109284c5d30ece2f4fd015be67e8b52ef7e06067a4"
|
||||
"ondevice_hash": "c560c76007fd8997e01e516ab16ff445048945a13bf830bb2a4c7f6e9d2fe5f6"
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||||
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{
|
||||
"name": "userdata_30",
|
||||
"url": "https://commadist.azureedge.net/agnosupdate/userdata_30-3e71d8804c90a6dff5048edb976149f9ea177efa139dea47cb585cef76b26f6e.img.xz",
|
||||
"hash": "1b201ecbd0e1573777811bf18fa90cb080bfbccb34a6dcfd39b412632e7ca699",
|
||||
"hash_raw": "3e71d8804c90a6dff5048edb976149f9ea177efa139dea47cb585cef76b26f6e",
|
||||
"url": "https://commadist.azureedge.net/agnosupdate/userdata_30-ffc34d8753520e684448185db801c05bb81e23c54a499cc40a2e38b7009cdf36.img.xz",
|
||||
"hash": "8bfb1fdec9c8f96c97bcce1efbc7d502447bdb3b481cc408b24b5feef66839fd",
|
||||
"hash_raw": "ffc34d8753520e684448185db801c05bb81e23c54a499cc40a2e38b7009cdf36",
|
||||
"size": 32212254720,
|
||||
"sparse": true,
|
||||
"full_check": true,
|
||||
"has_ab": false,
|
||||
"ondevice_hash": "47c28e63209556442cd9d2fd06a6c0e7fcf35c8a4e4fbcc550b9c089429ad0e0"
|
||||
"ondevice_hash": "8f840157d73fa4469aa650d668e046c9750304af84248ab83453cbd285918859"
|
||||
}
|
||||
]
|
||||
@@ -165,8 +165,15 @@ int handle_encoder_msg(LoggerdState *s, Message *msg, std::string &name, struct
|
||||
s->logger.segment(), offset_segment_num,
|
||||
s->ready_to_rotate.load(), s->max_waiting, name.c_str());
|
||||
}
|
||||
// queue up all the new segment messages, they go in after the rotate
|
||||
re.q.push_back(msg);
|
||||
|
||||
// TODO: define this behavior, but for now don't leak
|
||||
if (re.q.size() > MAIN_FPS*10) {
|
||||
LOGE_100("%s: dropping frame, queue is too large", name.c_str());
|
||||
delete msg;
|
||||
} else {
|
||||
// queue up all the new segment messages, they go in after the rotate
|
||||
re.q.push_back(msg);
|
||||
}
|
||||
} else {
|
||||
LOGE("%s: encoderd packet has a older segment!!! idx.getSegmentNum():%d s->logger.segment():%d re.encoderd_segment_offset:%d",
|
||||
name.c_str(), idx.getSegmentNum(), s->logger.segment(), re.encoderd_segment_offset);
|
||||
|
||||
@@ -0,0 +1,62 @@
|
||||
import pyray as rl
|
||||
from openpilot.system.ui.lib.button import gui_button, ButtonStyle
|
||||
from openpilot.system.ui.lib.label import gui_text_box
|
||||
|
||||
# Constants for dialog dimensions and styling
|
||||
DIALOG_WIDTH = 1520
|
||||
DIALOG_HEIGHT = 600
|
||||
BUTTON_HEIGHT = 160
|
||||
MARGIN = 50
|
||||
TEXT_AREA_HEIGHT_REDUCTION = 200
|
||||
BACKGROUND_COLOR = rl.Color(27, 27, 27, 255)
|
||||
|
||||
|
||||
def confirm_dialog(rect: rl.Rectangle, message: str, confirm_text: str, cancel_text: str = "Cancel") -> int:
|
||||
# Calculate dialog position and size, centered within the parent rectangle
|
||||
dialog_x = rect.x + (rect.width - DIALOG_WIDTH) / 2
|
||||
dialog_y = rect.y + (rect.height - DIALOG_HEIGHT) / 2
|
||||
dialog_rect = rl.Rectangle(dialog_x, dialog_y, DIALOG_WIDTH, DIALOG_HEIGHT)
|
||||
|
||||
# Calculate button positions at the bottom of the dialog
|
||||
bottom = dialog_rect.y + dialog_rect.height
|
||||
button_width = (dialog_rect.width - 3 * MARGIN) // 2
|
||||
no_button_x = dialog_rect.x + MARGIN
|
||||
yes_button_x = dialog_rect.x + dialog_rect.width - button_width - MARGIN
|
||||
button_y = bottom - BUTTON_HEIGHT - MARGIN
|
||||
no_button = rl.Rectangle(no_button_x, button_y, button_width, BUTTON_HEIGHT)
|
||||
yes_button = rl.Rectangle(yes_button_x, button_y, button_width, BUTTON_HEIGHT)
|
||||
|
||||
# Draw the dialog background
|
||||
rl.draw_rectangle(
|
||||
int(dialog_rect.x),
|
||||
int(dialog_rect.y),
|
||||
int(dialog_rect.width),
|
||||
int(dialog_rect.height),
|
||||
BACKGROUND_COLOR,
|
||||
)
|
||||
|
||||
# Draw the message in the dialog, centered
|
||||
text_rect = rl.Rectangle(dialog_rect.x, dialog_rect.y, dialog_rect.width, dialog_rect.height - TEXT_AREA_HEIGHT_REDUCTION)
|
||||
gui_text_box(
|
||||
text_rect,
|
||||
message,
|
||||
alignment=rl.GuiTextAlignment.TEXT_ALIGN_CENTER,
|
||||
alignment_vertical=rl.GuiTextAlignmentVertical.TEXT_ALIGN_MIDDLE,
|
||||
)
|
||||
|
||||
# Initialize result; -1 means no action taken yet
|
||||
result = -1
|
||||
|
||||
# Check for keyboard input for accessibility
|
||||
if rl.is_key_pressed(rl.KeyboardKey.KEY_ENTER):
|
||||
result = 1 # Confirm
|
||||
elif rl.is_key_pressed(rl.KeyboardKey.KEY_ESCAPE):
|
||||
result = 0 # Cancel
|
||||
|
||||
# Check for button clicks
|
||||
if gui_button(yes_button, confirm_text, button_style=ButtonStyle.PRIMARY):
|
||||
result = 1 # Confirm
|
||||
if gui_button(no_button, cancel_text):
|
||||
result = 0 # Cancel
|
||||
|
||||
return result
|
||||
@@ -0,0 +1,104 @@
|
||||
import pyray as rl
|
||||
from openpilot.system.ui.lib.button import gui_button
|
||||
from openpilot.system.ui.lib.label import gui_label
|
||||
|
||||
# Constants for special keys
|
||||
BACKSPACE_KEY = "<-"
|
||||
ENTER_KEY = "Enter"
|
||||
SPACE_KEY = " "
|
||||
SHIFT_KEY = "↑"
|
||||
SHIFT_DOWN_KEY = "↓"
|
||||
NUMERIC_KEY = "123"
|
||||
SYMBOL_KEY = "#+="
|
||||
ABC_KEY = "ABC"
|
||||
|
||||
# Define keyboard layouts as a dictionary for easier access
|
||||
keyboard_layouts = {
|
||||
"lowercase": [
|
||||
["q", "w", "e", "r", "t", "y", "u", "i", "o", "p"],
|
||||
["a", "s", "d", "f", "g", "h", "j", "k", "l"],
|
||||
[SHIFT_KEY, "z", "x", "c", "v", "b", "n", "m", BACKSPACE_KEY],
|
||||
[NUMERIC_KEY, "/", "-", SPACE_KEY, ".", ENTER_KEY],
|
||||
],
|
||||
"uppercase": [
|
||||
["Q", "W", "E", "R", "T", "Y", "U", "I", "O", "P"],
|
||||
["A", "S", "D", "F", "G", "H", "J", "K", "L"],
|
||||
[SHIFT_DOWN_KEY, "Z", "X", "C", "V", "B", "N", "M", BACKSPACE_KEY],
|
||||
[NUMERIC_KEY, "/", "-", SPACE_KEY, ".", ENTER_KEY],
|
||||
],
|
||||
"numbers": [
|
||||
["1", "2", "3", "4", "5", "6", "7", "8", "9", "0"],
|
||||
["-", "/", ":", ";", "(", ")", "$", "&", "@", "\""],
|
||||
[SYMBOL_KEY, ".", ",", "?", "!", "`", BACKSPACE_KEY],
|
||||
[ABC_KEY, SPACE_KEY, ".", ENTER_KEY],
|
||||
],
|
||||
"specials": [
|
||||
["[", "]", "{", "}", "#", "%", "^", "*", "+", "="],
|
||||
["_", "\\", "|", "~", "<", ">", "€", "£", "¥", "•"],
|
||||
[NUMERIC_KEY, ".", ",", "?", "!", "'", BACKSPACE_KEY],
|
||||
[ABC_KEY, SPACE_KEY, ".", ENTER_KEY],
|
||||
],
|
||||
}
|
||||
|
||||
|
||||
class Keyboard:
|
||||
def __init__(self, max_text_size: int = 255):
|
||||
self._layout = keyboard_layouts["lowercase"]
|
||||
self._input_text = ""
|
||||
self._max_text_size = max_text_size
|
||||
|
||||
@property
|
||||
def text(self) -> str:
|
||||
return self._input_text
|
||||
|
||||
def clear(self):
|
||||
self._input_text = ""
|
||||
|
||||
def render(self, rect, title, sub_title):
|
||||
gui_label(rl.Rectangle(rect.x, rect.y, rect.width, 95), title, 90)
|
||||
gui_label(rl.Rectangle(rect.x, rect.y + 95, rect.width, 60), sub_title, 55, rl.GRAY)
|
||||
if gui_button(rl.Rectangle(rect.x + rect.width - 300, rect.y, 300, 100), "Cancel"):
|
||||
return -1
|
||||
|
||||
# Text box for input
|
||||
rl.gui_text_box(rl.Rectangle(rect.x, rect.y + 160, rect.width, 100), self._input_text, self._max_text_size, True)
|
||||
|
||||
h_space, v_space = 15, 15
|
||||
row_y_start = rect.y + 300 # Starting Y position for the first row
|
||||
key_height = (rect.height - 300 - 3 * v_space) / 4
|
||||
key_max_width = (rect.width - (len(self._layout[2]) - 1) * h_space) / len(self._layout[2])
|
||||
|
||||
# Iterate over the rows of keys in the current layout
|
||||
for row, keys in enumerate(self._layout):
|
||||
key_width = min((rect.width - (180 if row == 1 else 0) - h_space * (len(keys) - 1)) / len(keys), key_max_width)
|
||||
start_x = rect.x + (90 if row == 1 else 0)
|
||||
|
||||
for i, key in enumerate(keys):
|
||||
if i > 0:
|
||||
start_x += h_space
|
||||
|
||||
new_width = (key_width * 3 + h_space * 2) if key == SPACE_KEY else (key_width * 2 + h_space if key == ENTER_KEY else key_width)
|
||||
key_rect = rl.Rectangle(start_x, row_y_start + row * (key_height + v_space), new_width, key_height)
|
||||
start_x += new_width
|
||||
|
||||
if gui_button(key_rect, key):
|
||||
if key == ENTER_KEY:
|
||||
return 1
|
||||
else:
|
||||
self.handle_key_press(key)
|
||||
|
||||
return 0
|
||||
|
||||
def handle_key_press(self, key):
|
||||
if key in (SHIFT_DOWN_KEY, ABC_KEY):
|
||||
self._layout = keyboard_layouts["lowercase"]
|
||||
elif key == SHIFT_KEY:
|
||||
self._layout = keyboard_layouts["uppercase"]
|
||||
elif key == NUMERIC_KEY:
|
||||
self._layout = keyboard_layouts["numbers"]
|
||||
elif key == SYMBOL_KEY:
|
||||
self._layout = keyboard_layouts["specials"]
|
||||
elif key == BACKSPACE_KEY and len(self._input_text) > 0:
|
||||
self._input_text = self._input_text[:-1]
|
||||
elif key != BACKSPACE_KEY and len(self._input_text) < self._max_text_size:
|
||||
self._input_text += key
|
||||
Reference in New Issue
Block a user