Merge remote-tracking branch 'origin/master' into online-lag

launch_chffrplus.sh

@@ -37,25 +37,25 @@ function launch {
   # Check to see if there's a valid overlay-based update available. Conditions
   # are as follows:
   #
-  # 1. The BASEDIR init file has to exist, with a newer modtime than anything in
+  # 1. The DIR init file has to exist, with a newer modtime than anything in
-  #    the BASEDIR Git repo. This checks for local development work or the user
+  #    the DIR Git repo. This checks for local development work or the user
   #    switching branches/forks, which should not be overwritten.
   # 2. The FINALIZED consistent file has to exist, indicating there's an update
   #    that completed successfully and synced to disk.
 
-  if [ -f "${BASEDIR}/.overlay_init" ]; then
+  if [ -f "${DIR}/.overlay_init" ]; then
-    find ${BASEDIR}/.git -newer ${BASEDIR}/.overlay_init | grep -q '.' 2> /dev/null
+    find ${DIR}/.git -newer ${DIR}/.overlay_init | grep -q '.' 2> /dev/null
     if [ $? -eq 0 ]; then
-      echo "${BASEDIR} has been modified, skipping overlay update installation"
+      echo "${DIR} has been modified, skipping overlay update installation"
     else
       if [ -f "${STAGING_ROOT}/finalized/.overlay_consistent" ]; then
         if [ ! -d /data/safe_staging/old_openpilot ]; then
           echo "Valid overlay update found, installing"
           LAUNCHER_LOCATION="${BASH_SOURCE[0]}"
 
-          mv $BASEDIR /data/safe_staging/old_openpilot
+          mv $DIR /data/safe_staging/old_openpilot
-          mv "${STAGING_ROOT}/finalized" $BASEDIR
+          mv "${STAGING_ROOT}/finalized" $DIR
-          cd $BASEDIR
+          cd $DIR
 
           echo "Restarting launch script ${LAUNCHER_LOCATION}"
           unset AGNOS_VERSION

opendbc_repo

@@ -1 +1 @@
-Subproject commit 866beab8faec5acd47bd042bc12183dccfa11c39
+Subproject commit 75d4e0eb5c8fa961a665ec020eb816a50eed231c

selfdrive/car/tests/test_models.py

@@ -266,6 +266,9 @@ class TestCarModelBase(unittest.TestCase):
 
   def test_panda_safety_tx_cases(self, data=None):
     """Asserts we can tx common messages"""
+    if self.CP.dashcamOnly:
+      self.skipTest("no need to check panda safety for dashcamOnly")
+
     if self.CP.notCar:
       self.skipTest("Skipping test for notCar")
 

selfdrive/controls/radard.py

@@ -211,9 +211,7 @@ class RadarD:
       self.v_ego_hist.append(self.v_ego)
       self.last_v_ego_frame = sm.recv_frame['carState']
 
-    ar_pts = {}
+    ar_pts = {pt.trackId: [pt.dRel, pt.yRel, pt.vRel, pt.measured] for pt in rr.points}
-    for pt in rr.points:
-      ar_pts[pt.trackId] = [pt.dRel, pt.yRel, pt.vRel, pt.measured]
 
     # *** remove missing points from meta data ***
     for ids in list(self.tracks.keys()):

selfdrive/modeld/constants.py

@@ -14,8 +14,14 @@ class ModelConstants:
 
   # model inputs constants
   MODEL_FREQ = 20
+  HISTORY_FREQ = 5
+  HISTORY_LEN_SECONDS = 5
+  TEMPORAL_SKIP = MODEL_FREQ // HISTORY_FREQ
+  FULL_HISTORY_BUFFER_LEN = MODEL_FREQ * HISTORY_LEN_SECONDS
+  INPUT_HISTORY_BUFFER_LEN = HISTORY_FREQ * HISTORY_LEN_SECONDS
+
   FEATURE_LEN = 512
-  FULL_HISTORY_BUFFER_LEN = 100
+
   DESIRE_LEN = 8
   TRAFFIC_CONVENTION_LEN = 2
   LAT_PLANNER_STATE_LEN = 4

selfdrive/modeld/modeld.py

@@ -56,16 +56,24 @@ class ModelState:
   prev_desire: np.ndarray  # for tracking the rising edge of the pulse
 
   def __init__(self, context: CLContext):
-    self.frames = {'input_imgs': DrivingModelFrame(context), 'big_input_imgs': DrivingModelFrame(context)}
+    self.frames = {
+      'input_imgs': DrivingModelFrame(context, ModelConstants.TEMPORAL_SKIP),
+      'big_input_imgs': DrivingModelFrame(context, ModelConstants.TEMPORAL_SKIP)
+    }
     self.prev_desire = np.zeros(ModelConstants.DESIRE_LEN, dtype=np.float32)
 
+    self.full_features_buffer = np.zeros((1, ModelConstants.FULL_HISTORY_BUFFER_LEN,  ModelConstants.FEATURE_LEN), dtype=np.float32)
+    self.full_desire = np.zeros((1, ModelConstants.FULL_HISTORY_BUFFER_LEN, ModelConstants.DESIRE_LEN), dtype=np.float32)
+    self.full_prev_desired_curv = np.zeros((1, ModelConstants.FULL_HISTORY_BUFFER_LEN, ModelConstants.PREV_DESIRED_CURV_LEN), dtype=np.float32)
+    self.temporal_idxs = slice(-1-(ModelConstants.TEMPORAL_SKIP*(ModelConstants.INPUT_HISTORY_BUFFER_LEN-1)), None, ModelConstants.TEMPORAL_SKIP)
+
     # policy inputs
     self.numpy_inputs = {
-      'desire': np.zeros((1, ModelConstants.FULL_HISTORY_BUFFER_LEN, ModelConstants.DESIRE_LEN), dtype=np.float32),
+      'desire': np.zeros((1, ModelConstants.INPUT_HISTORY_BUFFER_LEN, ModelConstants.DESIRE_LEN), dtype=np.float32),
       'traffic_convention': np.zeros((1, ModelConstants.TRAFFIC_CONVENTION_LEN), dtype=np.float32),
       'lateral_control_params': np.zeros((1, ModelConstants.LATERAL_CONTROL_PARAMS_LEN), dtype=np.float32),
-      'prev_desired_curv': np.zeros((1, ModelConstants.FULL_HISTORY_BUFFER_LEN, ModelConstants.PREV_DESIRED_CURV_LEN), dtype=np.float32),
+      'prev_desired_curv': np.zeros((1, ModelConstants.INPUT_HISTORY_BUFFER_LEN, ModelConstants.PREV_DESIRED_CURV_LEN), dtype=np.float32),
-      'features_buffer': np.zeros((1, ModelConstants.FULL_HISTORY_BUFFER_LEN,  ModelConstants.FEATURE_LEN), dtype=np.float32),
+      'features_buffer': np.zeros((1, ModelConstants.INPUT_HISTORY_BUFFER_LEN,  ModelConstants.FEATURE_LEN), dtype=np.float32),
     }
 
     with open(VISION_METADATA_PATH, 'rb') as f:
@@ -104,8 +112,9 @@ class ModelState:
     new_desire = np.where(inputs['desire'] - self.prev_desire > .99, inputs['desire'], 0)
     self.prev_desire[:] = inputs['desire']
 
-    self.numpy_inputs['desire'][0,:-1] = self.numpy_inputs['desire'][0,1:]
+    self.full_desire[0,:-1] = self.full_desire[0,1:]
-    self.numpy_inputs['desire'][0,-1] = new_desire
+    self.full_desire[0,-1] = new_desire
+    self.numpy_inputs['desire'][:] = self.full_desire.reshape((1,ModelConstants.INPUT_HISTORY_BUFFER_LEN,ModelConstants.TEMPORAL_SKIP,-1)).max(axis=2)
 
     self.numpy_inputs['traffic_convention'][:] = inputs['traffic_convention']
     self.numpy_inputs['lateral_control_params'][:] = inputs['lateral_control_params']
@@ -128,15 +137,17 @@ class ModelState:
     self.vision_output = self.vision_run(**self.vision_inputs).numpy().flatten()
     vision_outputs_dict = self.parser.parse_vision_outputs(self.slice_outputs(self.vision_output, self.vision_output_slices))
 
-    self.numpy_inputs['features_buffer'][0,:-1] = self.numpy_inputs['features_buffer'][0,1:]
+    self.full_features_buffer[0,:-1] = self.full_features_buffer[0,1:]
-    self.numpy_inputs['features_buffer'][0,-1] = vision_outputs_dict['hidden_state'][0, :]
+    self.full_features_buffer[0,-1] = vision_outputs_dict['hidden_state'][0, :]
+    self.numpy_inputs['features_buffer'][:] = self.full_features_buffer[0, self.temporal_idxs]
 
     self.policy_output = self.policy_run(**self.policy_inputs).numpy().flatten()
     policy_outputs_dict = self.parser.parse_policy_outputs(self.slice_outputs(self.policy_output, self.policy_output_slices))
 
     # TODO model only uses last value now
-    self.numpy_inputs['prev_desired_curv'][0,:-1] = self.numpy_inputs['prev_desired_curv'][0,1:]
+    self.full_prev_desired_curv[0,:-1] = self.full_prev_desired_curv[0,1:]
-    self.numpy_inputs['prev_desired_curv'][0,-1,:] = policy_outputs_dict['desired_curvature'][0, :]
+    self.full_prev_desired_curv[0,-1,:] = policy_outputs_dict['desired_curvature'][0, :]
+    self.numpy_inputs['prev_desired_curv'][:] = self.full_prev_desired_curv[0, self.temporal_idxs]
 
     combined_outputs_dict = {**vision_outputs_dict, **policy_outputs_dict}
     if SEND_RAW_PRED:

selfdrive/modeld/models/commonmodel.cc

@@ -5,11 +5,12 @@
 
 #include "common/clutil.h"
 
-DrivingModelFrame::DrivingModelFrame(cl_device_id device_id, cl_context context) : ModelFrame(device_id, context) {
+DrivingModelFrame::DrivingModelFrame(cl_device_id device_id, cl_context context, int _temporal_skip) : ModelFrame(device_id, context) {
   input_frames = std::make_unique<uint8_t[]>(buf_size);
+  temporal_skip = _temporal_skip;
   input_frames_cl = CL_CHECK_ERR(clCreateBuffer(context, CL_MEM_READ_WRITE, buf_size, NULL, &err));
-  img_buffer_20hz_cl = CL_CHECK_ERR(clCreateBuffer(context, CL_MEM_READ_WRITE, 2*frame_size_bytes, NULL, &err));
+  img_buffer_20hz_cl = CL_CHECK_ERR(clCreateBuffer(context, CL_MEM_READ_WRITE, (temporal_skip+1)*frame_size_bytes, NULL, &err));
-  region.origin = 1 * frame_size_bytes;
+  region.origin = temporal_skip * frame_size_bytes;
   region.size = frame_size_bytes;
   last_img_cl = CL_CHECK_ERR(clCreateSubBuffer(img_buffer_20hz_cl, CL_MEM_READ_WRITE, CL_BUFFER_CREATE_TYPE_REGION, &region, &err));
 
@@ -20,7 +21,7 @@ DrivingModelFrame::DrivingModelFrame(cl_device_id device_id, cl_context context)
 cl_mem* DrivingModelFrame::prepare(cl_mem yuv_cl, int frame_width, int frame_height, int frame_stride, int frame_uv_offset, const mat3& projection) {
   run_transform(yuv_cl, MODEL_WIDTH, MODEL_HEIGHT, frame_width, frame_height, frame_stride, frame_uv_offset, projection);
 
-  for (int i = 0; i < 1; i++) {
+  for (int i = 0; i < temporal_skip; i++) {
     CL_CHECK(clEnqueueCopyBuffer(q, img_buffer_20hz_cl, img_buffer_20hz_cl, (i+1)*frame_size_bytes, i*frame_size_bytes, frame_size_bytes, 0, nullptr, nullptr));
   }
   loadyuv_queue(&loadyuv, q, y_cl, u_cl, v_cl, last_img_cl);

selfdrive/modeld/models/commonmodel.h

@@ -64,20 +64,21 @@ protected:
 
 class DrivingModelFrame : public ModelFrame {
 public:
-  DrivingModelFrame(cl_device_id device_id, cl_context context);
+  DrivingModelFrame(cl_device_id device_id, cl_context context, int _temporal_skip);
   ~DrivingModelFrame();
   cl_mem* prepare(cl_mem yuv_cl, int frame_width, int frame_height, int frame_stride, int frame_uv_offset, const mat3& projection);
 
   const int MODEL_WIDTH = 512;
   const int MODEL_HEIGHT = 256;
   const int MODEL_FRAME_SIZE = MODEL_WIDTH * MODEL_HEIGHT * 3 / 2;
-  const int buf_size = MODEL_FRAME_SIZE * 2;
+  const int buf_size = MODEL_FRAME_SIZE * 2; // 2 frames are temporal_skip frames apart
   const size_t frame_size_bytes = MODEL_FRAME_SIZE * sizeof(uint8_t);
 
 private:
   LoadYUVState loadyuv;
   cl_mem img_buffer_20hz_cl, last_img_cl, input_frames_cl;
   cl_buffer_region region;
+  int temporal_skip;
 };
 
 class MonitoringModelFrame : public ModelFrame {

selfdrive/modeld/models/commonmodel.pxd

@@ -20,7 +20,7 @@ cdef extern from "selfdrive/modeld/models/commonmodel.h":
 
   cppclass DrivingModelFrame:
     int buf_size
-    DrivingModelFrame(cl_device_id, cl_context)
+    DrivingModelFrame(cl_device_id, cl_context, int)
 
   cppclass MonitoringModelFrame:
     int buf_size

selfdrive/modeld/models/commonmodel_pyx.pyx

@@ -59,8 +59,8 @@ cdef class ModelFrame:
 cdef class DrivingModelFrame(ModelFrame):
   cdef cppDrivingModelFrame * _frame
 
-  def __cinit__(self, CLContext context):
+  def __cinit__(self, CLContext context, int temporal_skip):
-    self._frame = new cppDrivingModelFrame(context.device_id, context.context)
+    self._frame = new cppDrivingModelFrame(context.device_id, context.context, temporal_skip)
     self.frame = <cppModelFrame*>(self._frame)
     self.buf_size = self._frame.buf_size
 

selfdrive/modeld/models/driving_policy.onnx

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5cae3285c876804e649b14adadcfb8be79a9bd5a1b928113e37f1f08e25e9688
+oid sha256:98f0121ccb6f850077b04cc91bd33d370fc6cbdc2bd35f1ab55628a15a813f36
-size 16581121
+size 15966721

selfdrive/modeld/models/driving_vision.onnx

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:29bbf79f9dfd7048c0013bb81e86d9b2979275b95ea1ed8a86d1a86a88695240
+oid sha256:897f80d0388250f99bba69b6a8434560cc0fd83157cbeb0bc134c67fe4e64624
 size 34882971

selfdrive/pandad/pandad_api_impl.pyx

@@ -17,14 +17,17 @@ cdef extern from "opendbc/can/common.h":
     vector[CanFrame] frames
 
 cdef extern from "can_list_to_can_capnp.cc":
-  void can_list_to_can_capnp_cpp(const vector[CanFrame] &can_list, string &out, bool sendcan, bool valid)
+  void can_list_to_can_capnp_cpp(const vector[CanFrame] &can_list, string &out, bool sendcan, bool valid) nogil
   void can_capnp_to_can_list_cpp(const vector[string] &strings, vector[CanData] &can_data, bool sendcan)
 
 def can_list_to_can_capnp(can_msgs, msgtype='can', valid=True):
   cdef CanFrame *f
   cdef vector[CanFrame] can_list
+  cdef uint32_t cpp_can_msgs_len = len(can_msgs)
+
+  with nogil:
+    can_list.reserve(cpp_can_msgs_len)
 
-  can_list.reserve(len(can_msgs))
   for can_msg in can_msgs:
     f = &(can_list.emplace_back())
     f.address = can_msg[0]
@@ -32,7 +35,10 @@ def can_list_to_can_capnp(can_msgs, msgtype='can', valid=True):
     f.src = can_msg[2]
 
   cdef string out
-  can_list_to_can_capnp_cpp(can_list, out, msgtype == 'sendcan', valid)
+  cdef bool is_sendcan = (msgtype == 'sendcan')
+  cdef bool is_valid = valid
+  with nogil:
+    can_list_to_can_capnp_cpp(can_list, out, is_sendcan, is_valid)
   return out
 
 def can_capnp_to_list(strings, msgtype='can'):

selfdrive/ui/qt/offroad/firehose.cc

@@ -69,6 +69,7 @@ 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."
   ));

selfdrive/ui/translations/main_ar.ts

@@ -321,10 +321,6 @@ 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.&lt;br&gt;&lt;br&gt;Firehose Mode can also work while you&apos;re driving if connected to a hotspot or unlimited SIM card.&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;b&gt;Frequently Asked Questions&lt;/b&gt;&lt;br&gt;&lt;br&gt;&lt;i&gt;Does it matter how or where I drive?&lt;/i&gt; Nope, just drive as you normally would.&lt;br&gt;&lt;br&gt;&lt;i&gt;What&apos;s a good USB-C adapter?&lt;/i&gt; Any fast phone or laptop charger should be fine.&lt;br&gt;&lt;br&gt;&lt;i&gt;Does it matter which software I run?&lt;/i&gt; Yes, only upstream openpilot (and particular forks) are able to be used for training.</source>
-        <translation type="unfinished"></translation>
-    </message>
     <message>
         <source>&lt;b&gt;%1 %2&lt;/b&gt; of your driving are in the training dataset so far.</source>
         <translation type="unfinished"></translation>
@@ -337,6 +333,10 @@ Firehose Mode allows you to maximize your training data uploads to improve openp
         <source>&lt;span stylesheet=&apos;font-size: 60px; font-weight: bold; color: #e74c3c;&apos;&gt;INACTIVE&lt;/span&gt;: 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.&lt;br&gt;&lt;br&gt;Firehose Mode can also work while you&apos;re driving if connected to a hotspot or unlimited SIM card.&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;b&gt;Frequently Asked Questions&lt;/b&gt;&lt;br&gt;&lt;br&gt;&lt;i&gt;Does it matter how or where I drive?&lt;/i&gt; Nope, just drive as you normally would.&lt;br&gt;&lt;br&gt;&lt;i&gt;Do all of my segments get pulled in Firehose Mode?&lt;/i&gt; No, we selectively pull a subset of your segments.&lt;br&gt;&lt;br&gt;&lt;i&gt;What&apos;s a good USB-C adapter?&lt;/i&gt; Any fast phone or laptop charger should be fine.&lt;br&gt;&lt;br&gt;&lt;i&gt;Does it matter which software I run?&lt;/i&gt; Yes, only upstream openpilot (and particular forks) are able to be used for training.</source>
+        <translation type="unfinished"></translation>
+    </message>
 </context>
 <context>
     <name>HudRenderer</name>

selfdrive/ui/translations/main_de.ts

@@ -321,10 +321,6 @@ 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.&lt;br&gt;&lt;br&gt;Firehose Mode can also work while you&apos;re driving if connected to a hotspot or unlimited SIM card.&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;b&gt;Frequently Asked Questions&lt;/b&gt;&lt;br&gt;&lt;br&gt;&lt;i&gt;Does it matter how or where I drive?&lt;/i&gt; Nope, just drive as you normally would.&lt;br&gt;&lt;br&gt;&lt;i&gt;What&apos;s a good USB-C adapter?&lt;/i&gt; Any fast phone or laptop charger should be fine.&lt;br&gt;&lt;br&gt;&lt;i&gt;Does it matter which software I run?&lt;/i&gt; Yes, only upstream openpilot (and particular forks) are able to be used for training.</source>
-        <translation type="unfinished"></translation>
-    </message>
     <message>
         <source>&lt;b&gt;%1 %2&lt;/b&gt; of your driving are in the training dataset so far.</source>
         <translation type="unfinished"></translation>
@@ -337,6 +333,10 @@ Firehose Mode allows you to maximize your training data uploads to improve openp
         <source>&lt;span stylesheet=&apos;font-size: 60px; font-weight: bold; color: #e74c3c;&apos;&gt;INACTIVE&lt;/span&gt;: 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.&lt;br&gt;&lt;br&gt;Firehose Mode can also work while you&apos;re driving if connected to a hotspot or unlimited SIM card.&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;b&gt;Frequently Asked Questions&lt;/b&gt;&lt;br&gt;&lt;br&gt;&lt;i&gt;Does it matter how or where I drive?&lt;/i&gt; Nope, just drive as you normally would.&lt;br&gt;&lt;br&gt;&lt;i&gt;Do all of my segments get pulled in Firehose Mode?&lt;/i&gt; No, we selectively pull a subset of your segments.&lt;br&gt;&lt;br&gt;&lt;i&gt;What&apos;s a good USB-C adapter?&lt;/i&gt; Any fast phone or laptop charger should be fine.&lt;br&gt;&lt;br&gt;&lt;i&gt;Does it matter which software I run?&lt;/i&gt; Yes, only upstream openpilot (and particular forks) are able to be used for training.</source>
+        <translation type="unfinished"></translation>
+    </message>
 </context>
 <context>
     <name>HudRenderer</name>

selfdrive/ui/translations/main_es.ts

@@ -321,10 +321,6 @@ 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.&lt;br&gt;&lt;br&gt;Firehose Mode can also work while you&apos;re driving if connected to a hotspot or unlimited SIM card.&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;b&gt;Frequently Asked Questions&lt;/b&gt;&lt;br&gt;&lt;br&gt;&lt;i&gt;Does it matter how or where I drive?&lt;/i&gt; Nope, just drive as you normally would.&lt;br&gt;&lt;br&gt;&lt;i&gt;What&apos;s a good USB-C adapter?&lt;/i&gt; Any fast phone or laptop charger should be fine.&lt;br&gt;&lt;br&gt;&lt;i&gt;Does it matter which software I run?&lt;/i&gt; Yes, only upstream openpilot (and particular forks) are able to be used for training.</source>
-        <translation type="unfinished"></translation>
-    </message>
     <message>
         <source>&lt;b&gt;%1 %2&lt;/b&gt; of your driving are in the training dataset so far.</source>
         <translation type="unfinished"></translation>
@@ -337,6 +333,10 @@ Firehose Mode allows you to maximize your training data uploads to improve openp
         <source>&lt;span stylesheet=&apos;font-size: 60px; font-weight: bold; color: #e74c3c;&apos;&gt;INACTIVE&lt;/span&gt;: 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.&lt;br&gt;&lt;br&gt;Firehose Mode can also work while you&apos;re driving if connected to a hotspot or unlimited SIM card.&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;b&gt;Frequently Asked Questions&lt;/b&gt;&lt;br&gt;&lt;br&gt;&lt;i&gt;Does it matter how or where I drive?&lt;/i&gt; Nope, just drive as you normally would.&lt;br&gt;&lt;br&gt;&lt;i&gt;Do all of my segments get pulled in Firehose Mode?&lt;/i&gt; No, we selectively pull a subset of your segments.&lt;br&gt;&lt;br&gt;&lt;i&gt;What&apos;s a good USB-C adapter?&lt;/i&gt; Any fast phone or laptop charger should be fine.&lt;br&gt;&lt;br&gt;&lt;i&gt;Does it matter which software I run?&lt;/i&gt; Yes, only upstream openpilot (and particular forks) are able to be used for training.</source>
+        <translation type="unfinished"></translation>
+    </message>
 </context>
 <context>
     <name>HudRenderer</name>

selfdrive/ui/translations/main_fr.ts

@@ -321,10 +321,6 @@ 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.&lt;br&gt;&lt;br&gt;Firehose Mode can also work while you&apos;re driving if connected to a hotspot or unlimited SIM card.&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;b&gt;Frequently Asked Questions&lt;/b&gt;&lt;br&gt;&lt;br&gt;&lt;i&gt;Does it matter how or where I drive?&lt;/i&gt; Nope, just drive as you normally would.&lt;br&gt;&lt;br&gt;&lt;i&gt;What&apos;s a good USB-C adapter?&lt;/i&gt; Any fast phone or laptop charger should be fine.&lt;br&gt;&lt;br&gt;&lt;i&gt;Does it matter which software I run?&lt;/i&gt; Yes, only upstream openpilot (and particular forks) are able to be used for training.</source>
-        <translation type="unfinished"></translation>
-    </message>
     <message>
         <source>&lt;b&gt;%1 %2&lt;/b&gt; of your driving are in the training dataset so far.</source>
         <translation type="unfinished"></translation>
@@ -337,6 +333,10 @@ Firehose Mode allows you to maximize your training data uploads to improve openp
         <source>&lt;span stylesheet=&apos;font-size: 60px; font-weight: bold; color: #e74c3c;&apos;&gt;INACTIVE&lt;/span&gt;: 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.&lt;br&gt;&lt;br&gt;Firehose Mode can also work while you&apos;re driving if connected to a hotspot or unlimited SIM card.&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;b&gt;Frequently Asked Questions&lt;/b&gt;&lt;br&gt;&lt;br&gt;&lt;i&gt;Does it matter how or where I drive?&lt;/i&gt; Nope, just drive as you normally would.&lt;br&gt;&lt;br&gt;&lt;i&gt;Do all of my segments get pulled in Firehose Mode?&lt;/i&gt; No, we selectively pull a subset of your segments.&lt;br&gt;&lt;br&gt;&lt;i&gt;What&apos;s a good USB-C adapter?&lt;/i&gt; Any fast phone or laptop charger should be fine.&lt;br&gt;&lt;br&gt;&lt;i&gt;Does it matter which software I run?&lt;/i&gt; Yes, only upstream openpilot (and particular forks) are able to be used for training.</source>
+        <translation type="unfinished"></translation>
+    </message>
 </context>
 <context>
     <name>HudRenderer</name>

selfdrive/ui/translations/main_ja.ts

@@ -321,10 +321,6 @@ 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.&lt;br&gt;&lt;br&gt;Firehose Mode can also work while you&apos;re driving if connected to a hotspot or unlimited SIM card.&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;b&gt;Frequently Asked Questions&lt;/b&gt;&lt;br&gt;&lt;br&gt;&lt;i&gt;Does it matter how or where I drive?&lt;/i&gt; Nope, just drive as you normally would.&lt;br&gt;&lt;br&gt;&lt;i&gt;What&apos;s a good USB-C adapter?&lt;/i&gt; Any fast phone or laptop charger should be fine.&lt;br&gt;&lt;br&gt;&lt;i&gt;Does it matter which software I run?&lt;/i&gt; Yes, only upstream openpilot (and particular forks) are able to be used for training.</source>
-        <translation type="unfinished"></translation>
-    </message>
     <message>
         <source>&lt;b&gt;%1 %2&lt;/b&gt; of your driving are in the training dataset so far.</source>
         <translation type="unfinished"></translation>
@@ -337,6 +333,10 @@ Firehose Mode allows you to maximize your training data uploads to improve openp
         <source>&lt;span stylesheet=&apos;font-size: 60px; font-weight: bold; color: #e74c3c;&apos;&gt;INACTIVE&lt;/span&gt;: 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.&lt;br&gt;&lt;br&gt;Firehose Mode can also work while you&apos;re driving if connected to a hotspot or unlimited SIM card.&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;b&gt;Frequently Asked Questions&lt;/b&gt;&lt;br&gt;&lt;br&gt;&lt;i&gt;Does it matter how or where I drive?&lt;/i&gt; Nope, just drive as you normally would.&lt;br&gt;&lt;br&gt;&lt;i&gt;Do all of my segments get pulled in Firehose Mode?&lt;/i&gt; No, we selectively pull a subset of your segments.&lt;br&gt;&lt;br&gt;&lt;i&gt;What&apos;s a good USB-C adapter?&lt;/i&gt; Any fast phone or laptop charger should be fine.&lt;br&gt;&lt;br&gt;&lt;i&gt;Does it matter which software I run?&lt;/i&gt; Yes, only upstream openpilot (and particular forks) are able to be used for training.</source>
+        <translation type="unfinished"></translation>
+    </message>
 </context>
 <context>
     <name>HudRenderer</name>

selfdrive/ui/translations/main_ko.ts

@@ -315,26 +315,28 @@
         <source>openpilot learns to drive by watching humans, like you, drive.
 
 Firehose Mode allows you to maximize your training data uploads to improve openpilot&apos;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>
+        <translation>파이어호스 모드: 활성화</translation>
-    </message>
-    <message>
-        <source>For maximum effectiveness, bring your device inside and connect to a good USB-C adapter and Wi-Fi weekly.&lt;br&gt;&lt;br&gt;Firehose Mode can also work while you&apos;re driving if connected to a hotspot or unlimited SIM card.&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;b&gt;Frequently Asked Questions&lt;/b&gt;&lt;br&gt;&lt;br&gt;&lt;i&gt;Does it matter how or where I drive?&lt;/i&gt; Nope, just drive as you normally would.&lt;br&gt;&lt;br&gt;&lt;i&gt;What&apos;s a good USB-C adapter?&lt;/i&gt; Any fast phone or laptop charger should be fine.&lt;br&gt;&lt;br&gt;&lt;i&gt;Does it matter which software I run?&lt;/i&gt; Yes, only upstream openpilot (and particular forks) are able to be used for training.</source>
-        <translation type="unfinished"></translation>
     </message>
     <message>
         <source>&lt;b&gt;%1 %2&lt;/b&gt; of your driving are in the training dataset so far.</source>
-        <translation type="unfinished"></translation>
+        <translation>&lt;b&gt;%1 %2&lt;/b&gt; 의 운전이 지금까지의 훈련 데이터 세트에 포함되어 있습니다.</translation>
     </message>
     <message>
         <source>ACTIVE</source>
-        <translation type="unfinished"></translation>
+        <translation>활성화</translation>
     </message>
     <message>
         <source>&lt;span stylesheet=&apos;font-size: 60px; font-weight: bold; color: #e74c3c;&apos;&gt;INACTIVE&lt;/span&gt;: connect to unmetered network</source>
+        <translation>&lt;span stylesheet=&apos;font-size: 60px; font-weight: bold; color: #e74c3c;&apos;&gt;비활성&lt;/span&gt;: 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.&lt;br&gt;&lt;br&gt;Firehose Mode can also work while you&apos;re driving if connected to a hotspot or unlimited SIM card.&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;b&gt;Frequently Asked Questions&lt;/b&gt;&lt;br&gt;&lt;br&gt;&lt;i&gt;Does it matter how or where I drive?&lt;/i&gt; Nope, just drive as you normally would.&lt;br&gt;&lt;br&gt;&lt;i&gt;Do all of my segments get pulled in Firehose Mode?&lt;/i&gt; No, we selectively pull a subset of your segments.&lt;br&gt;&lt;br&gt;&lt;i&gt;What&apos;s a good USB-C adapter?&lt;/i&gt; Any fast phone or laptop charger should be fine.&lt;br&gt;&lt;br&gt;&lt;i&gt;Does it matter which software I run?&lt;/i&gt; Yes, only upstream openpilot (and particular forks) are able to be used for training.</source>
         <translation type="unfinished"></translation>
     </message>
 </context>
@@ -993,11 +995,11 @@ 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 &lt;span style=&apos;color: #465BEA;&apos;&gt;https://comma.ai/terms&lt;/span&gt; before continuing.</source>
-        <translation type="unfinished"></translation>
+        <translation>오픈파일럿을 사용하려면 이용약관에 동의해야 합니다. 최신 약관은 &lt;span style=&apos;color: #465BEA;&apos;&gt;https://comma.ai/terms&lt;/span&gt; 에서 최신 약관을 읽은 후 계속하세요.</translation>
     </message>
 </context>
 <context>

selfdrive/ui/translations/main_pt-BR.ts

@@ -315,26 +315,28 @@
         <source>openpilot learns to drive by watching humans, like you, drive.
 
 Firehose Mode allows you to maximize your training data uploads to improve openpilot&apos;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>
+        <translation>Mode Firehose: ATIVO</translation>
-    </message>
-    <message>
-        <source>For maximum effectiveness, bring your device inside and connect to a good USB-C adapter and Wi-Fi weekly.&lt;br&gt;&lt;br&gt;Firehose Mode can also work while you&apos;re driving if connected to a hotspot or unlimited SIM card.&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;b&gt;Frequently Asked Questions&lt;/b&gt;&lt;br&gt;&lt;br&gt;&lt;i&gt;Does it matter how or where I drive?&lt;/i&gt; Nope, just drive as you normally would.&lt;br&gt;&lt;br&gt;&lt;i&gt;What&apos;s a good USB-C adapter?&lt;/i&gt; Any fast phone or laptop charger should be fine.&lt;br&gt;&lt;br&gt;&lt;i&gt;Does it matter which software I run?&lt;/i&gt; Yes, only upstream openpilot (and particular forks) are able to be used for training.</source>
-        <translation type="unfinished"></translation>
     </message>
     <message>
         <source>&lt;b&gt;%1 %2&lt;/b&gt; of your driving are in the training dataset so far.</source>
-        <translation type="unfinished"></translation>
+        <translation>&lt;b&gt;%1 %2&lt;/b&gt; da sua direção já está no conjunto de dados de treinamento até agora.</translation>
     </message>
     <message>
         <source>ACTIVE</source>
-        <translation type="unfinished"></translation>
+        <translation>ATIVO</translation>
     </message>
     <message>
         <source>&lt;span stylesheet=&apos;font-size: 60px; font-weight: bold; color: #e74c3c;&apos;&gt;INACTIVE&lt;/span&gt;: connect to unmetered network</source>
+        <translation>&lt;span stylesheet=&apos;font-size: 60px; font-weight: bold; color: #e74c3c;&apos;&gt;INATIVO&lt;/span&gt;: conecte-se a uma rede sem restrição 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.&lt;br&gt;&lt;br&gt;Firehose Mode can also work while you&apos;re driving if connected to a hotspot or unlimited SIM card.&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;b&gt;Frequently Asked Questions&lt;/b&gt;&lt;br&gt;&lt;br&gt;&lt;i&gt;Does it matter how or where I drive?&lt;/i&gt; Nope, just drive as you normally would.&lt;br&gt;&lt;br&gt;&lt;i&gt;Do all of my segments get pulled in Firehose Mode?&lt;/i&gt; No, we selectively pull a subset of your segments.&lt;br&gt;&lt;br&gt;&lt;i&gt;What&apos;s a good USB-C adapter?&lt;/i&gt; Any fast phone or laptop charger should be fine.&lt;br&gt;&lt;br&gt;&lt;i&gt;Does it matter which software I run?&lt;/i&gt; Yes, only upstream openpilot (and particular forks) are able to be used for training.</source>
         <translation type="unfinished"></translation>
     </message>
 </context>
@@ -997,11 +999,11 @@ 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 &lt;span style=&apos;color: #465BEA;&apos;&gt;https://comma.ai/terms&lt;/span&gt; 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 &lt;span style=&apos;color: #465BEA;&apos;&gt;https://comma.ai/terms&lt;/span&gt; antes de continuar.</translation>
     </message>
 </context>
 <context>

selfdrive/ui/translations/main_th.ts

@@ -321,10 +321,6 @@ 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.&lt;br&gt;&lt;br&gt;Firehose Mode can also work while you&apos;re driving if connected to a hotspot or unlimited SIM card.&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;b&gt;Frequently Asked Questions&lt;/b&gt;&lt;br&gt;&lt;br&gt;&lt;i&gt;Does it matter how or where I drive?&lt;/i&gt; Nope, just drive as you normally would.&lt;br&gt;&lt;br&gt;&lt;i&gt;What&apos;s a good USB-C adapter?&lt;/i&gt; Any fast phone or laptop charger should be fine.&lt;br&gt;&lt;br&gt;&lt;i&gt;Does it matter which software I run?&lt;/i&gt; Yes, only upstream openpilot (and particular forks) are able to be used for training.</source>
-        <translation type="unfinished"></translation>
-    </message>
     <message>
         <source>&lt;b&gt;%1 %2&lt;/b&gt; of your driving are in the training dataset so far.</source>
         <translation type="unfinished"></translation>
@@ -337,6 +333,10 @@ Firehose Mode allows you to maximize your training data uploads to improve openp
         <source>&lt;span stylesheet=&apos;font-size: 60px; font-weight: bold; color: #e74c3c;&apos;&gt;INACTIVE&lt;/span&gt;: 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.&lt;br&gt;&lt;br&gt;Firehose Mode can also work while you&apos;re driving if connected to a hotspot or unlimited SIM card.&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;b&gt;Frequently Asked Questions&lt;/b&gt;&lt;br&gt;&lt;br&gt;&lt;i&gt;Does it matter how or where I drive?&lt;/i&gt; Nope, just drive as you normally would.&lt;br&gt;&lt;br&gt;&lt;i&gt;Do all of my segments get pulled in Firehose Mode?&lt;/i&gt; No, we selectively pull a subset of your segments.&lt;br&gt;&lt;br&gt;&lt;i&gt;What&apos;s a good USB-C adapter?&lt;/i&gt; Any fast phone or laptop charger should be fine.&lt;br&gt;&lt;br&gt;&lt;i&gt;Does it matter which software I run?&lt;/i&gt; Yes, only upstream openpilot (and particular forks) are able to be used for training.</source>
+        <translation type="unfinished"></translation>
+    </message>
 </context>
 <context>
     <name>HudRenderer</name>

selfdrive/ui/translations/main_tr.ts

@@ -321,10 +321,6 @@ 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.&lt;br&gt;&lt;br&gt;Firehose Mode can also work while you&apos;re driving if connected to a hotspot or unlimited SIM card.&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;b&gt;Frequently Asked Questions&lt;/b&gt;&lt;br&gt;&lt;br&gt;&lt;i&gt;Does it matter how or where I drive?&lt;/i&gt; Nope, just drive as you normally would.&lt;br&gt;&lt;br&gt;&lt;i&gt;What&apos;s a good USB-C adapter?&lt;/i&gt; Any fast phone or laptop charger should be fine.&lt;br&gt;&lt;br&gt;&lt;i&gt;Does it matter which software I run?&lt;/i&gt; Yes, only upstream openpilot (and particular forks) are able to be used for training.</source>
-        <translation type="unfinished"></translation>
-    </message>
     <message>
         <source>&lt;b&gt;%1 %2&lt;/b&gt; of your driving are in the training dataset so far.</source>
         <translation type="unfinished"></translation>
@@ -337,6 +333,10 @@ Firehose Mode allows you to maximize your training data uploads to improve openp
         <source>&lt;span stylesheet=&apos;font-size: 60px; font-weight: bold; color: #e74c3c;&apos;&gt;INACTIVE&lt;/span&gt;: 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.&lt;br&gt;&lt;br&gt;Firehose Mode can also work while you&apos;re driving if connected to a hotspot or unlimited SIM card.&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;b&gt;Frequently Asked Questions&lt;/b&gt;&lt;br&gt;&lt;br&gt;&lt;i&gt;Does it matter how or where I drive?&lt;/i&gt; Nope, just drive as you normally would.&lt;br&gt;&lt;br&gt;&lt;i&gt;Do all of my segments get pulled in Firehose Mode?&lt;/i&gt; No, we selectively pull a subset of your segments.&lt;br&gt;&lt;br&gt;&lt;i&gt;What&apos;s a good USB-C adapter?&lt;/i&gt; Any fast phone or laptop charger should be fine.&lt;br&gt;&lt;br&gt;&lt;i&gt;Does it matter which software I run?&lt;/i&gt; Yes, only upstream openpilot (and particular forks) are able to be used for training.</source>
+        <translation type="unfinished"></translation>
+    </message>
 </context>
 <context>
     <name>HudRenderer</name>

selfdrive/ui/translations/main_zh-CHS.ts

@@ -321,10 +321,6 @@ 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.&lt;br&gt;&lt;br&gt;Firehose Mode can also work while you&apos;re driving if connected to a hotspot or unlimited SIM card.&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;b&gt;Frequently Asked Questions&lt;/b&gt;&lt;br&gt;&lt;br&gt;&lt;i&gt;Does it matter how or where I drive?&lt;/i&gt; Nope, just drive as you normally would.&lt;br&gt;&lt;br&gt;&lt;i&gt;What&apos;s a good USB-C adapter?&lt;/i&gt; Any fast phone or laptop charger should be fine.&lt;br&gt;&lt;br&gt;&lt;i&gt;Does it matter which software I run?&lt;/i&gt; Yes, only upstream openpilot (and particular forks) are able to be used for training.</source>
-        <translation type="unfinished"></translation>
-    </message>
     <message>
         <source>&lt;b&gt;%1 %2&lt;/b&gt; of your driving are in the training dataset so far.</source>
         <translation type="unfinished"></translation>
@@ -337,6 +333,10 @@ Firehose Mode allows you to maximize your training data uploads to improve openp
         <source>&lt;span stylesheet=&apos;font-size: 60px; font-weight: bold; color: #e74c3c;&apos;&gt;INACTIVE&lt;/span&gt;: 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.&lt;br&gt;&lt;br&gt;Firehose Mode can also work while you&apos;re driving if connected to a hotspot or unlimited SIM card.&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;b&gt;Frequently Asked Questions&lt;/b&gt;&lt;br&gt;&lt;br&gt;&lt;i&gt;Does it matter how or where I drive?&lt;/i&gt; Nope, just drive as you normally would.&lt;br&gt;&lt;br&gt;&lt;i&gt;Do all of my segments get pulled in Firehose Mode?&lt;/i&gt; No, we selectively pull a subset of your segments.&lt;br&gt;&lt;br&gt;&lt;i&gt;What&apos;s a good USB-C adapter?&lt;/i&gt; Any fast phone or laptop charger should be fine.&lt;br&gt;&lt;br&gt;&lt;i&gt;Does it matter which software I run?&lt;/i&gt; Yes, only upstream openpilot (and particular forks) are able to be used for training.</source>
+        <translation type="unfinished"></translation>
+    </message>
 </context>
 <context>
     <name>HudRenderer</name>

selfdrive/ui/translations/main_zh-CHT.ts

@@ -321,10 +321,6 @@ 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.&lt;br&gt;&lt;br&gt;Firehose Mode can also work while you&apos;re driving if connected to a hotspot or unlimited SIM card.&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;b&gt;Frequently Asked Questions&lt;/b&gt;&lt;br&gt;&lt;br&gt;&lt;i&gt;Does it matter how or where I drive?&lt;/i&gt; Nope, just drive as you normally would.&lt;br&gt;&lt;br&gt;&lt;i&gt;What&apos;s a good USB-C adapter?&lt;/i&gt; Any fast phone or laptop charger should be fine.&lt;br&gt;&lt;br&gt;&lt;i&gt;Does it matter which software I run?&lt;/i&gt; Yes, only upstream openpilot (and particular forks) are able to be used for training.</source>
-        <translation type="unfinished"></translation>
-    </message>
     <message>
         <source>&lt;b&gt;%1 %2&lt;/b&gt; of your driving are in the training dataset so far.</source>
         <translation type="unfinished"></translation>
@@ -337,6 +333,10 @@ Firehose Mode allows you to maximize your training data uploads to improve openp
         <source>&lt;span stylesheet=&apos;font-size: 60px; font-weight: bold; color: #e74c3c;&apos;&gt;INACTIVE&lt;/span&gt;: 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.&lt;br&gt;&lt;br&gt;Firehose Mode can also work while you&apos;re driving if connected to a hotspot or unlimited SIM card.&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;b&gt;Frequently Asked Questions&lt;/b&gt;&lt;br&gt;&lt;br&gt;&lt;i&gt;Does it matter how or where I drive?&lt;/i&gt; Nope, just drive as you normally would.&lt;br&gt;&lt;br&gt;&lt;i&gt;Do all of my segments get pulled in Firehose Mode?&lt;/i&gt; No, we selectively pull a subset of your segments.&lt;br&gt;&lt;br&gt;&lt;i&gt;What&apos;s a good USB-C adapter?&lt;/i&gt; Any fast phone or laptop charger should be fine.&lt;br&gt;&lt;br&gt;&lt;i&gt;Does it matter which software I run?&lt;/i&gt; Yes, only upstream openpilot (and particular forks) are able to be used for training.</source>
+        <translation type="unfinished"></translation>
+    </message>
 </context>
 <context>
     <name>HudRenderer</name>

system/hardware/base.h

@@ -34,8 +34,6 @@ public:
   static bool get_ssh_enabled() { return false; }
   static void set_ssh_enabled(bool enabled) {}
 
-  static void config_cpu_rendering(bool offscreen);
-
   static bool PC() { return false; }
   static bool TICI() { return false; }
   static bool AGNOS() { return false; }

system/hardware/pc/hardware.h

@@ -12,12 +12,4 @@ public:
   static bool PC() { return true; }
   static bool TICI() { return util::getenv("TICI", 0) == 1; }
   static bool AGNOS() { return util::getenv("TICI", 0) == 1; }
-
-  static void config_cpu_rendering(bool offscreen) {
-    if (offscreen) {
-      setenv("QT_QPA_PLATFORM", "offscreen", 1);
-    }
-    setenv("__GLX_VENDOR_LIBRARY_NAME", "mesa", 1);
-    setenv("LP_NUM_THREADS", "0", 1); // disable threading so we stay on our assigned CPU
-  }
 };

system/hardware/tici/hardware.h

@@ -109,11 +109,4 @@ public:
 
   static bool get_ssh_enabled() { return Params().getBool("SshEnabled"); }
   static void set_ssh_enabled(bool enabled) { Params().putBool("SshEnabled", enabled); }
-
-  static void config_cpu_rendering(bool offscreen) {
-    if (offscreen) {
-      setenv("QT_QPA_PLATFORM", "eglfs", 1); // offscreen doesn't work with EGL/GLES
-    }
-    setenv("LP_NUM_THREADS", "0", 1); // disable threading so we stay on our assigned CPU
-  }
 };

system/ui/lib/application.py

@@ -15,6 +15,7 @@ DEBUG_FPS = os.getenv("DEBUG_FPS") == '1'
 STRICT_MODE = os.getenv("STRICT_MODE") == '1'
 
 DEFAULT_TEXT_SIZE = 60
+DEFAULT_TEXT_COLOR = rl.Color(200, 200, 200, 255)
 FONT_DIR = os.path.join(BASEDIR, "selfdrive/assets/fonts")
 
 
@@ -118,7 +119,7 @@ class GuiApplication:
     rl.gui_set_style(rl.GuiControl.DEFAULT, rl.GuiControlProperty.BORDER_WIDTH, 0)
     rl.gui_set_style(rl.GuiControl.DEFAULT, rl.GuiDefaultProperty.TEXT_SIZE, DEFAULT_TEXT_SIZE)
     rl.gui_set_style(rl.GuiControl.DEFAULT, rl.GuiDefaultProperty.BACKGROUND_COLOR, rl.color_to_int(rl.BLACK))
-    rl.gui_set_style(rl.GuiControl.DEFAULT, rl.GuiControlProperty.TEXT_COLOR_NORMAL, rl.color_to_int(rl.Color(200, 200, 200, 255)))
+    rl.gui_set_style(rl.GuiControl.DEFAULT, rl.GuiControlProperty.TEXT_COLOR_NORMAL, rl.color_to_int(DEFAULT_TEXT_COLOR))
     rl.gui_set_style(rl.GuiControl.DEFAULT, rl.GuiDefaultProperty.BACKGROUND_COLOR, rl.color_to_int(rl.Color(30, 30, 30, 255)))
     rl.gui_set_style(rl.GuiControl.DEFAULT, rl.GuiControlProperty.BASE_COLOR_NORMAL, rl.color_to_int(rl.Color(50, 50, 50, 255)))
 

system/ui/lib/button.py

@@ -54,6 +54,7 @@ def gui_button(
   if button_style != ButtonStyle.TRANSPARENT:
     rl.draw_rectangle_rounded(rect, roundness, 20, bg_color)
   else:
+    rl.draw_rectangle_rounded(rect, roundness, 20, rl.BLACK)
     rl.draw_rectangle_rounded_lines_ex(rect, roundness, 20, 2, rl.WHITE)
 
   font = gui_app.font(font_weight)

system/ui/lib/label.py

@@ -1,11 +1,55 @@
 import pyray as rl
+from openpilot.system.ui.lib.application import gui_app, FontWeight, DEFAULT_TEXT_SIZE, DEFAULT_TEXT_COLOR
 from openpilot.system.ui.lib.utils import GuiStyleContext
 
-def gui_label(rect, text, font_size):
+
+def gui_label(
+  rect: rl.Rectangle,
+  text: str,
+  font_size: int = DEFAULT_TEXT_SIZE,
+  color: rl.Color = DEFAULT_TEXT_COLOR,
+  font_weight: FontWeight = FontWeight.NORMAL,
+  alignment: int = rl.GuiTextAlignment.TEXT_ALIGN_LEFT,
+  alignment_vertical: int = rl.GuiTextAlignmentVertical.TEXT_ALIGN_MIDDLE
+):
+  # Set font based on the provided weight
+  font = gui_app.font(font_weight)
+
+  # Measure text size
+  text_size = rl.measure_text_ex(font, text, font_size, 0)
+
+  # Calculate horizontal position based on alignment
+  text_x = rect.x + {
+    rl.GuiTextAlignment.TEXT_ALIGN_LEFT: 0,
+    rl.GuiTextAlignment.TEXT_ALIGN_CENTER: (rect.width - text_size.x) / 2,
+    rl.GuiTextAlignment.TEXT_ALIGN_RIGHT: rect.width - text_size.x,
+  }.get(alignment, 0)
+
+  # Calculate vertical position based on alignment
+  text_y = rect.y + {
+    rl.GuiTextAlignmentVertical.TEXT_ALIGN_TOP: 0,
+    rl.GuiTextAlignmentVertical.TEXT_ALIGN_MIDDLE: (rect.height - text_size.y) / 2,
+    rl.GuiTextAlignmentVertical.TEXT_ALIGN_BOTTOM: rect.height - text_size.y,
+  }.get(alignment_vertical, 0)
+
+  # Draw the text in the specified rectangle
+  rl.draw_text_ex(font, text, rl.Vector2(text_x, text_y), font_size, 0, color)
+
+
+def gui_text_box(
+  rect: rl.Rectangle,
+  text: str,
+  font_size: int = DEFAULT_TEXT_SIZE,
+  color: rl.Color = DEFAULT_TEXT_COLOR,
+  alignment: int = rl.GuiTextAlignment.TEXT_ALIGN_LEFT,
+  alignment_vertical: int = rl.GuiTextAlignmentVertical.TEXT_ALIGN_TOP
+):
   styles = [
+    (rl.GuiControl.DEFAULT, rl.GuiControlProperty.TEXT_COLOR_NORMAL, rl.color_to_int(color)),
     (rl.GuiControl.DEFAULT, rl.GuiDefaultProperty.TEXT_SIZE, font_size),
     (rl.GuiControl.DEFAULT, rl.GuiDefaultProperty.TEXT_LINE_SPACING, font_size),
-    (rl.GuiControl.DEFAULT, rl.GuiDefaultProperty.TEXT_ALIGNMENT_VERTICAL, rl.GuiTextAlignmentVertical.TEXT_ALIGN_TOP),
+    (rl.GuiControl.DEFAULT, rl.GuiControlProperty.TEXT_ALIGNMENT, alignment),
+    (rl.GuiControl.DEFAULT, rl.GuiDefaultProperty.TEXT_ALIGNMENT_VERTICAL, alignment_vertical),
     (rl.GuiControl.DEFAULT, rl.GuiDefaultProperty.TEXT_WRAP_MODE, rl.GuiTextWrapMode.TEXT_WRAP_WORD)
   ]
 

system/ui/reset.py

@@ -7,7 +7,7 @@ from enum import IntEnum
 
 from openpilot.system.ui.lib.application import gui_app, FontWeight
 from openpilot.system.ui.lib.button import gui_button, ButtonStyle
-from openpilot.system.ui.lib.label import gui_label
+from openpilot.system.ui.lib.label import gui_label, gui_text_box
 
 NVME = "/dev/nvme0n1"
 USERDATA = "/dev/disk/by-partlabel/userdata"
@@ -51,13 +51,11 @@ class Reset:
     threading.Timer(0.1, self.do_reset).start()
 
   def render(self, rect: rl.Rectangle):
-    rl.gui_set_font(gui_app.font(FontWeight.BOLD))
+    label_rect = rl.Rectangle(rect.x + 140, rect.y, rect.width - 280, 100)
-    label_rect = rl.Rectangle(rect.x + 140, rect.y, rect.width - 280, rect.height)
+    gui_label(label_rect, "System Reset", 100, font_weight=FontWeight.BOLD)
-    gui_label(label_rect, "System Reset", 90)
-    rl.gui_set_font(gui_app.font(FontWeight.NORMAL))
 
-    label_rect.y += 150
+    text_rect = rl.Rectangle(rect.x + 140, rect.y + 140, rect.width - 280, rect.height - 90 - 100)
-    gui_label(label_rect, self.get_body_text(), 80)
+    gui_text_box(text_rect, self.get_body_text(), 90)
 
     button_height = 160
     button_spacing = 50

system/ui/text.py

@@ -39,7 +39,7 @@ def main():
 
   text_content = sys.argv[1] if len(sys.argv) > 1 else DEMO_TEXT
 
-  textarea_rect = rl.Rectangle(MARGIN, MARGIN, gui_app.width - MARGIN * 2, gui_app.height - MARGIN * 2 - BUTTON_SIZE.y - SPACING)
+  textarea_rect = rl.Rectangle(MARGIN, MARGIN, gui_app.width - MARGIN * 2, gui_app.height - MARGIN * 2)
   wrapped_lines = wrap_text(text_content, FONT_SIZE, textarea_rect.width - 20)
   content_rect = rl.Rectangle(0, 0, textarea_rect.width - 20, len(wrapped_lines) * LINE_HEIGHT)
   scroll_panel = GuiScrollPanel(show_vertical_scroll_bar=True)

system/ui/widgets/confirm_dialog.py

@@ -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

system/ui/widgets/keyboard.py

@@ -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

uv.lock

@@ -4455,15 +4455,15 @@ sdist = { url = "https://files.pythonhosted.org/packages/79/0c/c16bc93ac2755bac0
 
 [[package]]
 name = "pywin32"
-version = "308"
+version = "309"
 source = { registry = "https://pypi.org/simple" }
 wheels = [
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+    { url = "https://files.pythonhosted.org/packages/05/54/6409b1d98f2b8fed3bc2cc854859e48ae4a2dd956176664e38ee49c50a4c/pywin32-309-cp311-cp311-win32.whl", hash = "sha256:d5df6faa32b868baf9ade7c9b25337fa5eced28eb1ab89082c8dae9c48e4cd51", size = 8779225 },
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+    { url = "https://files.pythonhosted.org/packages/6a/f0/ae8ddb56771093dd2905baa852958fd65d42a8972aeefcf13578dfae69f4/pywin32-309-cp311-cp311-win_amd64.whl", hash = "sha256:e7ec2cef6df0926f8a89fd64959eba591a1eeaf0258082065f7bdbe2121228db", size = 9514129 },
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+    { url = "https://files.pythonhosted.org/packages/dd/11/c36884c732e2b3397deee808b5dac1abbb170ec37f94c6606fcb04d1e9d7/pywin32-309-cp312-cp312-win_amd64.whl", hash = "sha256:6ff9eebb77ffc3d59812c68db33c0a7817e1337e3537859499bd27586330fc9e", size = 9497399 },
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 ]
 
 [[package]]
@@ -4678,27 +4678,27 @@ wheels = [
 
 [[package]]
 name = "ruff"
-version = "0.9.9"
+version = "0.9.10"
-source = { registry = "https://pypi.org/simple" }
+source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/6f/c3/418441a8170e8d53d05c0b9dad69760dbc7b8a12c10dbe6db1e1205d2377/ruff-0.9.9.tar.gz", hash = "sha256:0062ed13f22173e85f8f7056f9a24016e692efeea8704d1a5e8011b8aa850933", size = 3717448 }
+sdist = { url = "https://files.pythonhosted.org/packages/20/8e/fafaa6f15c332e73425d9c44ada85360501045d5ab0b81400076aff27cf6/ruff-0.9.10.tar.gz", hash = "sha256:9bacb735d7bada9cfb0f2c227d3658fc443d90a727b47f206fb33f52f3c0eac7", size = 3759776 }
-wheels = [
+wheels = [
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