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modeld: configurable camera offset (#1614)
* modeld: configurable camera offset Negative Values: Shears the image to the left, moving the models center to the Right. Positive Value: Shears the image to the right, moving the models center to the Left. * modeld: camera offset class * verify zero offset I @ A = A * slithered and slunked * Update params_metadata.json * wait * Update model_renderer.py * Update model_renderer.py * requested changes * stricter * Update model_renderer.py * more * return default * Update params_metadata.json * final --------- Co-authored-by: Jason Wen <haibin.wen3@gmail.com>
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@@ -221,6 +221,7 @@ inline static std::unordered_map<std::string, ParamKeyAttributes> keys = {
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{"BlindSpot", {PERSISTENT | BACKUP, BOOL, "0"}},
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// sunnypilot model params
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{"CameraOffset", {PERSISTENT | BACKUP, FLOAT, "0.0"}},
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{"LagdToggle", {PERSISTENT | BACKUP, BOOL, "1"}},
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{"LagdToggleDelay", {PERSISTENT | BACKUP, FLOAT, "0.2"}},
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{"LagdValueCache", {PERSISTENT, FLOAT, "0.2"}},
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@@ -80,6 +80,9 @@ class ModelRenderer(Widget):
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self._transform_dirty = True
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self._clip_region = None
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self._counter = -1
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self._camera_offset = ui_state.params.get("CameraOffset", return_default=True) if ui_state.active_bundle else 0.0
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self._exp_gradient = Gradient(
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start=(0.0, 1.0), # Bottom of path
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end=(0.0, 0.0), # Top of path
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@@ -99,6 +102,10 @@ class ModelRenderer(Widget):
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def _render(self, rect: rl.Rectangle):
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sm = ui_state.sm
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if self._counter % 180 == 0: # This runs at 60fps, so we query every 3 seconds
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self._camera_offset = ui_state.params.get("CameraOffset", return_default=True) if ui_state.active_bundle else 0.0
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self._counter += 1
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self._torque_filter.update(-ui_state.sm['carOutput'].actuatorsOutput.torque)
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# Check if data is up-to-date
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@@ -150,13 +157,13 @@ class ModelRenderer(Widget):
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def _update_raw_points(self, model):
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"""Update raw 3D points from model data"""
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self._path.raw_points = np.array([model.position.x, model.position.y, model.position.z], dtype=np.float32).T
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self._path.raw_points = np.array([model.position.x, np.array(model.position.y) + self._camera_offset, model.position.z], dtype=np.float32).T
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for i, lane_line in enumerate(model.laneLines):
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self._lane_lines[i].raw_points = np.array([lane_line.x, lane_line.y, lane_line.z], dtype=np.float32).T
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self._lane_lines[i].raw_points = np.array([lane_line.x, np.array(lane_line.y) + self._camera_offset, lane_line.z], dtype=np.float32).T
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for i, road_edge in enumerate(model.roadEdges):
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self._road_edges[i].raw_points = np.array([road_edge.x, road_edge.y, road_edge.z], dtype=np.float32).T
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self._road_edges[i].raw_points = np.array([road_edge.x, np.array(road_edge.y) + self._camera_offset, road_edge.z], dtype=np.float32).T
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self._lane_line_probs = np.array(model.laneLineProbs, dtype=np.float32)
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self._road_edge_stds = np.array(model.roadEdgeStds, dtype=np.float32)
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@@ -174,7 +181,7 @@ class ModelRenderer(Widget):
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# Get z-coordinate from path at the lead vehicle position
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z = self._path.raw_points[idx, 2] if idx < len(self._path.raw_points) else 0.0
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point = self._map_to_screen(d_rel, -y_rel, z + self._path_offset_z)
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point = self._map_to_screen(d_rel, -y_rel + self._camera_offset, z + self._path_offset_z)
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if point:
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self._lead_vehicles[i] = self._update_lead_vehicle(d_rel, v_rel, point, self._rect)
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@@ -56,7 +56,8 @@ class ModelRenderer(Widget, ChevronMetrics, ModelRendererSP):
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self._road_edge_stds = np.zeros(2, dtype=np.float32)
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self._lead_vehicles = [LeadVehicle(), LeadVehicle()]
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self._path_offset_z = HEIGHT_INIT[0]
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self._counter = -1
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self._camera_offset = ui_state.params.get("CameraOffset", return_default=True) if ui_state.active_bundle else 0.0
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# Initialize ModelPoints objects
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self._path = ModelPoints()
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self._lane_lines = [ModelPoints() for _ in range(4)]
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@@ -103,6 +104,10 @@ class ModelRenderer(Widget, ChevronMetrics, ModelRendererSP):
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live_calib = sm['liveCalibration']
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self._path_offset_z = live_calib.height[0] if live_calib.height else HEIGHT_INIT[0]
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if self._counter % 60 == 0:
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self._camera_offset = ui_state.params.get("CameraOffset", return_default=True) if ui_state.active_bundle else 0.0
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self._counter += 1
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if sm.updated['carParams']:
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self._longitudinal_control = sm['carParams'].openpilotLongitudinalControl
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@@ -136,13 +141,13 @@ class ModelRenderer(Widget, ChevronMetrics, ModelRendererSP):
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def _update_raw_points(self, model):
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"""Update raw 3D points from model data"""
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self._path.raw_points = np.array([model.position.x, model.position.y, model.position.z], dtype=np.float32).T
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self._path.raw_points = np.array([model.position.x, np.array(model.position.y) + self._camera_offset, model.position.z], dtype=np.float32).T
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for i, lane_line in enumerate(model.laneLines):
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self._lane_lines[i].raw_points = np.array([lane_line.x, lane_line.y, lane_line.z], dtype=np.float32).T
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self._lane_lines[i].raw_points = np.array([lane_line.x, np.array(lane_line.y) + self._camera_offset, lane_line.z], dtype=np.float32).T
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for i, road_edge in enumerate(model.roadEdges):
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self._road_edges[i].raw_points = np.array([road_edge.x, road_edge.y, road_edge.z], dtype=np.float32).T
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self._road_edges[i].raw_points = np.array([road_edge.x, np.array(road_edge.y) + self._camera_offset, road_edge.z], dtype=np.float32).T
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self._lane_line_probs = np.array(model.laneLineProbs, dtype=np.float32)
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self._road_edge_stds = np.array(model.roadEdgeStds, dtype=np.float32)
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@@ -160,7 +165,7 @@ class ModelRenderer(Widget, ChevronMetrics, ModelRendererSP):
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# Get z-coordinate from path at the lead vehicle position
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z = self._path.raw_points[idx, 2] if idx < len(self._path.raw_points) else 0.0
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point = self._map_to_screen(d_rel, -y_rel, z + self._path_offset_z)
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point = self._map_to_screen(d_rel, -y_rel + self._camera_offset, z + self._path_offset_z)
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if point:
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self._lead_vehicles[i] = self._update_lead_vehicle(d_rel, v_rel, point, self._rect)
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@@ -73,6 +73,7 @@ class UIStateSP:
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self.developer_ui = self.params.get("DevUIInfo")
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self.rainbow_path = self.params.get_bool("RainbowMode")
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self.chevron_metrics = self.params.get("ChevronInfo")
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self.active_bundle = self.params.get("ModelManager_ActiveBundle")
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class DeviceSP:
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@@ -24,6 +24,7 @@ from openpilot.sunnypilot.livedelay.helpers import get_lat_delay
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from openpilot.sunnypilot.modeld.runners import ModelRunner, Runtime
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from openpilot.sunnypilot.modeld.parse_model_outputs import Parser
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from openpilot.sunnypilot.modeld.fill_model_msg import fill_model_msg, fill_pose_msg, PublishState
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from openpilot.sunnypilot.modeld_v2.camera_offset_helper import CameraOffsetHelper
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from openpilot.sunnypilot.modeld.constants import ModelConstants, Plan
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from openpilot.sunnypilot.models.helpers import get_active_bundle, get_model_path, load_metadata, prepare_inputs, load_meta_constants
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from openpilot.sunnypilot.modeld.models.commonmodel_pyx import ModelFrame, CLContext
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@@ -195,6 +196,7 @@ def main(demo=False):
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buf_main, buf_extra = None, None
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meta_main = FrameMeta()
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meta_extra = FrameMeta()
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camera_offset_helper = CameraOffsetHelper()
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if demo:
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@@ -250,12 +252,14 @@ def main(demo=False):
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frame_id = sm["roadCameraState"].frameId
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if sm.frame % 60 == 0:
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model.lat_delay = get_lat_delay(params, sm["liveDelay"].lateralDelay)
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camera_offset_helper.set_offset(params.get("CameraOffset", return_default=True))
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lat_delay = model.lat_delay + model.LAT_SMOOTH_SECONDS
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if sm.updated["liveCalibration"] and sm.seen['roadCameraState'] and sm.seen['deviceState']:
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device_from_calib_euler = np.array(sm["liveCalibration"].rpyCalib, dtype=np.float32)
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dc = DEVICE_CAMERAS[(str(sm['deviceState'].deviceType), str(sm['roadCameraState'].sensor))]
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model_transform_main = get_warp_matrix(device_from_calib_euler, dc.ecam.intrinsics if main_wide_camera else dc.fcam.intrinsics, False).astype(np.float32)
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model_transform_extra = get_warp_matrix(device_from_calib_euler, dc.ecam.intrinsics, True).astype(np.float32)
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model_transform_main, model_transform_extra = camera_offset_helper.update(model_transform_main, model_transform_extra, sm, main_wide_camera)
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live_calib_seen = True
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traffic_convention = np.zeros(2)
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39
sunnypilot/modeld_v2/camera_offset_helper.py
Normal file
39
sunnypilot/modeld_v2/camera_offset_helper.py
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@@ -0,0 +1,39 @@
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"""
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Copyright (c) 2021-, Haibin Wen, sunnypilot, and a number of other contributors.
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This file is part of sunnypilot and is licensed under the MIT License.
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See the LICENSE.md file in the root directory for more details.
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"""
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import numpy as np
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from openpilot.common.transformations.camera import DEVICE_CAMERAS
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class CameraOffsetHelper:
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def __init__(self):
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self.camera_offset = 0.0
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self.actual_camera_offset = 0.0
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@staticmethod
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def apply_camera_offset(model_transform, intrinsics, height, offset_param):
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cy = intrinsics[1, 2]
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shear = np.eye(3, dtype=np.float32)
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shear[0, 1] = offset_param / height
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shear[0, 2] = -offset_param / height * cy
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model_transform = (shear @ model_transform).astype(np.float32)
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return model_transform
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def set_offset(self, offset):
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self.camera_offset = offset
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def update(self, model_transform_main, model_transform_extra, sm, main_wide_camera):
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self.actual_camera_offset = (0.9 * self.actual_camera_offset) + (0.1 * self.camera_offset)
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dc = DEVICE_CAMERAS[(str(sm['deviceState'].deviceType), str(sm['roadCameraState'].sensor))]
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height = sm["liveCalibration"].height[0] if sm['liveCalibration'].height else 1.22
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intrinsics_main = dc.ecam.intrinsics if main_wide_camera else dc.fcam.intrinsics
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model_transform_main = self.apply_camera_offset(model_transform_main, intrinsics_main, height, self.actual_camera_offset)
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intrinsics_extra = dc.ecam.intrinsics
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model_transform_extra = self.apply_camera_offset(model_transform_extra, intrinsics_extra, height, self.actual_camera_offset)
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return model_transform_main, model_transform_extra
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@@ -21,6 +21,7 @@ from openpilot.sunnypilot.modeld_v2.fill_model_msg import fill_model_msg, fill_p
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from openpilot.sunnypilot.modeld_v2.constants import Plan
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from openpilot.sunnypilot.modeld_v2.models.commonmodel_pyx import DrivingModelFrame, CLContext
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from openpilot.sunnypilot.modeld_v2.meta_helper import load_meta_constants
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from openpilot.sunnypilot.modeld_v2.camera_offset_helper import CameraOffsetHelper
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from openpilot.sunnypilot.livedelay.helpers import get_lat_delay
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from openpilot.sunnypilot.modeld.modeld_base import ModelStateBase
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@@ -230,6 +231,7 @@ def main(demo=False):
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buf_main, buf_extra = None, None
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meta_main = FrameMeta()
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meta_extra = FrameMeta()
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camera_offset_helper = CameraOffsetHelper()
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if demo:
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@@ -285,13 +287,14 @@ def main(demo=False):
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if sm.frame % 60 == 0:
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model.lat_delay = get_lat_delay(params, sm["liveDelay"].lateralDelay)
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model.PLANPLUS_CONTROL = params.get("PlanplusControl", return_default=True)
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camera_offset_helper.set_offset(params.get("CameraOffset", return_default=True))
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lat_delay = model.lat_delay + model.LAT_SMOOTH_SECONDS
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if sm.updated["liveCalibration"] and sm.seen['roadCameraState'] and sm.seen['deviceState']:
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device_from_calib_euler = np.array(sm["liveCalibration"].rpyCalib, dtype=np.float32)
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dc = DEVICE_CAMERAS[(str(sm['deviceState'].deviceType), str(sm['roadCameraState'].sensor))]
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model_transform_main = get_warp_matrix(device_from_calib_euler, dc.ecam.intrinsics if main_wide_camera else dc.fcam.intrinsics,
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False).astype(np.float32)
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model_transform_main = get_warp_matrix(device_from_calib_euler, dc.ecam.intrinsics if main_wide_camera else dc.fcam.intrinsics, False).astype(np.float32)
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model_transform_extra = get_warp_matrix(device_from_calib_euler, dc.ecam.intrinsics, True).astype(np.float32)
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model_transform_main, model_transform_extra = camera_offset_helper.update(model_transform_main, model_transform_extra, sm, main_wide_camera)
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live_calib_seen = True
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traffic_convention = np.zeros(2)
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84
sunnypilot/modeld_v2/tests/test_camera_offset_helper.py
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84
sunnypilot/modeld_v2/tests/test_camera_offset_helper.py
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@@ -0,0 +1,84 @@
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"""
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Copyright (c) 2021-, Haibin Wen, sunnypilot, and a number of other contributors.
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This file is part of sunnypilot and is licensed under the MIT License.
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See the LICENSE.md file in the root directory for more details.
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"""
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import numpy as np
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from openpilot.common.transformations.camera import DEVICE_CAMERAS
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from openpilot.common.transformations.model import get_warp_matrix
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from openpilot.sunnypilot.modeld_v2.camera_offset_helper import CameraOffsetHelper
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class MockStruct:
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def __init__(self, **kwargs):
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for k, v in kwargs.items():
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setattr(self, k, v)
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def __getitem__(self, item):
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return getattr(self, item)
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class TestCameraOffset:
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def setup_method(self):
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self.camera_offset = CameraOffsetHelper()
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self.dc = DEVICE_CAMERAS[('mici', 'os04c10')]
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def test_smoothing(self):
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self.camera_offset.set_offset(0.2)
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sm = MockStruct(
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deviceState=MockStruct(deviceType='mici'),
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roadCameraState=MockStruct(sensor='os04c10'),
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liveCalibration=MockStruct(rpyCalib=[0.0, 0.0, 0.0], height=[1.22])
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)
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intrinsics_main = self.dc.fcam.intrinsics
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intrinsics_extra = self.dc.ecam.intrinsics
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device_from_calib_euler = np.array([0.0, 0.0, 0.0], dtype=np.float32)
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main_transform = get_warp_matrix(device_from_calib_euler, intrinsics_main, False).astype(np.float32)
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extra_transform = get_warp_matrix(device_from_calib_euler, intrinsics_extra, True).astype(np.float32)
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self.camera_offset.update(main_transform, extra_transform, sm, False)
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np.testing.assert_almost_equal(self.camera_offset.actual_camera_offset, 0.02)
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self.camera_offset.update(main_transform, extra_transform, sm, False)
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np.testing.assert_almost_equal(self.camera_offset.actual_camera_offset, 0.038)
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def test_camera_offset_(self):
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intrinsics = self.dc.fcam.intrinsics
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transform = np.eye(3, dtype=np.float32)
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height = 1.22
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offset = 0.1
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cy = intrinsics[1, 2]
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expected_shear = np.eye(3, dtype=np.float32)
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expected_shear[0, 1] = offset / height
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expected_shear[0, 2] = -offset / height * cy
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result = CameraOffsetHelper.apply_camera_offset(transform, intrinsics, height, offset)
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np.testing.assert_array_almost_equal(result, expected_shear)
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def test_update(self):
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sm = MockStruct(
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deviceState=MockStruct(deviceType='mici'),
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roadCameraState=MockStruct(sensor='os04c10'),
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liveCalibration=MockStruct(rpyCalib=[0.0, 0.0, 0.0], height=[1.22])
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)
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intrinsics_main = self.dc.fcam.intrinsics
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intrinsics_extra = self.dc.ecam.intrinsics
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device_from_calib_euler = np.array([0.0, 0.0, 0.0], dtype=np.float32)
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main_transform = get_warp_matrix(device_from_calib_euler, intrinsics_main, False).astype(np.float32)
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extra_transform = get_warp_matrix(device_from_calib_euler, intrinsics_extra, True).astype(np.float32)
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self.camera_offset.set_offset(0.0) # test default offset doesn't change transformation
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main_out, extra_out = self.camera_offset.update(main_transform, extra_transform, sm, False)
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np.testing.assert_array_equal(main_out, main_transform)
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np.testing.assert_array_equal(extra_out, extra_transform)
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self.camera_offset.set_offset(0.2) # test valid offset changes transformation
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main_out, extra_out = self.camera_offset.update(main_transform, extra_transform, sm, False)
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assert not np.array_equal(main_out, main_transform)
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assert not np.array_equal(extra_out, extra_transform)
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assert main_out[0, 1] != 0.0
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assert main_out[0, 2] != 0.0
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@@ -121,6 +121,13 @@
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"title": "Camera Debug Exp Time",
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"description": ""
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},
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"CameraOffset": {
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"title": "Adjust Camera Offset on non Default Model",
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"description": "Adjust this to center the car in its lane by virtually shifting the camera's perspective. Negative Values: Shears the image to the left, moving the model's center to the Right; Positive Values: Shears the image to the right, moving the model's center to the Left. Note: these values are in meters.",
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"min": -0.35,
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"max": 0.35,
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"step": 0.01
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},
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"CarBatteryCapacity": {
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"title": "Car Battery Capacity",
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"description": ""
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