openpilot v0.5.2 release

old-commit-hash: 0129a8a4ff
2026-08-21 16:23:46 +08:00 · 2018-08-19 20:36:37 -07:00
parent b0c5c1001d
commit b73d457d20
47 changed files with 2272 additions and 232 deletions
@@ -0,0 +1,112 @@
+import numpy as np
+
+from common.transformations.camera import eon_focal_length, \
+	vp_from_ke, \
+	get_view_frame_from_road_frame, \
+	FULL_FRAME_SIZE
+
+# segnet
+
+SEGNET_SIZE = (512, 384)
+
+segnet_frame_from_camera_frame = np.array([
+  [float(SEGNET_SIZE[0])/FULL_FRAME_SIZE[0],    0.,          ],
+  [     0.,          float(SEGNET_SIZE[1])/FULL_FRAME_SIZE[1]]])
+
+
+# model
+
+MODEL_INPUT_SIZE = (320, 160)
+MODEL_YUV_SIZE = (MODEL_INPUT_SIZE[0], MODEL_INPUT_SIZE[1] * 3 // 2)
+MODEL_CX = MODEL_INPUT_SIZE[0]/2.
+MODEL_CY = 21.
+
+model_zoom = 1.25
+model_height = 1.22
+
+# canonical model transform
+model_intrinsics = np.array(
+  [[ eon_focal_length / model_zoom,    0. ,  MODEL_CX],
+   [   0. ,  eon_focal_length / model_zoom,  MODEL_CY],
+   [   0. ,                            0. ,   1.]])
+
+
+# BIG model
+
+BIGMODEL_INPUT_SIZE = (864, 288)
+BIGMODEL_YUV_SIZE = (BIGMODEL_INPUT_SIZE[0], BIGMODEL_INPUT_SIZE[1] * 3 // 2)
+
+bigmodel_zoom = 1.
+bigmodel_intrinsics = np.array(
+  [[ eon_focal_length / bigmodel_zoom,    0. , 0.5 * BIGMODEL_INPUT_SIZE[0]],
+   [   0. ,  eon_focal_length / bigmodel_zoom,  0.2 * BIGMODEL_INPUT_SIZE[1]],
+   [   0. ,                            0. ,   1.]])
+
+
+bigmodel_border = np.array([
+    [0,0,1],
+    [BIGMODEL_INPUT_SIZE[0], 0, 1],
+    [BIGMODEL_INPUT_SIZE[0], BIGMODEL_INPUT_SIZE[1], 1],
+    [0, BIGMODEL_INPUT_SIZE[1], 1],
+])
+
+
+model_frame_from_road_frame = np.dot(model_intrinsics,
+  get_view_frame_from_road_frame(0, 0, 0, model_height))
+
+bigmodel_frame_from_road_frame = np.dot(bigmodel_intrinsics,
+  get_view_frame_from_road_frame(0, 0, 0, model_height))
+
+# 'camera from model camera'
+def get_model_height_transform(camera_frame_from_road_frame, height):
+  camera_frame_from_road_ground = np.dot(camera_frame_from_road_frame, np.array([
+      [1, 0, 0],
+      [0, 1, 0],
+      [0, 0, 0],
+      [0, 0, 1],
+  ]))
+
+  camera_frame_from_road_high = np.dot(camera_frame_from_road_frame, np.array([
+      [1, 0, 0],
+      [0, 1, 0],
+      [0, 0, height - model_height],
+      [0, 0, 1],
+  ]))
+
+  ground_from_camera_frame = np.linalg.inv(camera_frame_from_road_ground)
+
+  low_camera_from_high_camera = np.dot(camera_frame_from_road_high, ground_from_camera_frame)
+  high_camera_from_low_camera = np.linalg.inv(low_camera_from_high_camera)
+
+  return high_camera_from_low_camera
+
+
+# camera_frame_from_model_frame aka 'warp matrix'
+# was: calibration.h/CalibrationTransform
+def get_camera_frame_from_model_frame(camera_frame_from_road_frame, height):
+  vp = vp_from_ke(camera_frame_from_road_frame)
+
+  model_camera_from_model_frame = np.array([
+    [model_zoom,         0., vp[0] - MODEL_CX * model_zoom],
+    [        0., model_zoom, vp[1] - MODEL_CY * model_zoom],
+    [        0.,         0.,                            1.],
+  ])
+
+  # This function is super slow, so skip it if height is very close to canonical
+  # TODO: speed it up!
+  if abs(height - model_height) > 0.001: #
+    camera_from_model_camera = get_model_height_transform(camera_frame_from_road_frame, height)
+  else:
+    camera_from_model_camera = np.eye(3)
+
+  return np.dot(camera_from_model_camera, model_camera_from_model_frame)
+
+
+def get_camera_frame_from_bigmodel_frame(camera_frame_from_road_frame):
+  camera_frame_from_ground = camera_frame_from_road_frame[:, (0, 1, 3)]
+  bigmodel_frame_from_ground = bigmodel_frame_from_road_frame[:, (0, 1, 3)]
+
+  ground_from_bigmodel_frame = np.linalg.inv(bigmodel_frame_from_ground)
+  camera_frame_from_bigmodel_frame = np.dot(camera_frame_from_ground, ground_from_bigmodel_frame)
+
+  return camera_frame_from_bigmodel_frame