Fix the intrinsix matrix if vertices of the bounding box is behind the camera
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@ -50,10 +50,15 @@ camera.listen(image_queue.put)
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We want to take 3D points from the simulation and project them into the 2D plane of the camera. Firstly, we need to construct the camera projection matrix:
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```py
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def build_projection_matrix(w, h, fov):
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def build_projection_matrix(w, h, fov, is_behind_camera=False):
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focal = w / (2.0 * np.tan(fov * np.pi / 360.0))
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K = np.identity(3)
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if is_behind_camera:
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K[0, 0] = K[1, 1] = -focal
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else:
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K[0, 0] = K[1, 1] = focal
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K[0, 2] = w / 2.0
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K[1, 2] = h / 2.0
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return K
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@ -99,6 +104,7 @@ fov = camera_bp.get_attribute("fov").as_float()
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# Calculate the camera projection matrix to project from 3D -> 2D
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K = build_projection_matrix(image_w, image_h, fov)
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K_b = build_projection_matrix(image_w, image_h, fov, is_behind_camera=True)
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```
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## Bounding boxes
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@ -191,7 +197,7 @@ while True:
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forward_vec = vehicle.get_transform().get_forward_vector()
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ray = bb.location - vehicle.get_transform().location
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if forward_vec.dot(ray) > 1:
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if forward_vec.dot(ray) > 0:
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# Cycle through the vertices
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verts = [v for v in bb.get_world_vertices(carla.Transform())]
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for edge in edges:
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@ -249,6 +255,11 @@ cv2.waitKey(1)
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Now we use a modified game loop to draw the vehicle bounding boxes:
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```py
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def point_in_canvas(pos, img_h, img_w):
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"""Return true if point is in canvas"""
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if (pos[0] >= 0) and (pos[0] < img_w) and (pos[1] >= 0) and (pos[1] < img_h):
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return True
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return False
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while True:
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# Retrieve and reshape the image
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@ -279,12 +290,28 @@ while True:
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forward_vec = vehicle.get_transform().get_forward_vector()
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ray = npc.get_transform().location - vehicle.get_transform().location
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if forward_vec.dot(ray) > 1:
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p1 = get_image_point(bb.location, K, world_2_camera)
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if forward_vec.dot(ray) > 0:
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verts = [v for v in bb.get_world_vertices(npc.get_transform())]
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for edge in edges:
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p1 = get_image_point(verts[edge[0]], K, world_2_camera)
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p2 = get_image_point(verts[edge[1]], K, world_2_camera)
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p1_in_canvas = point_in_canvas(p1, image_h, image_w)
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p2_in_canvas = point_in_canvas(p2, image_h, image_w)
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if not p1_in_canvas and not p2_in_canvas:
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continue
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ray0 = verts[edge[0]] - camera.get_transform().location
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ray1 = verts[edge[1]] - camera.get_transform().location
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cam_forward_vec = camera.get_transform().get_forward_vector()
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# One of the vertex is behind the camera
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if not (cam_forward_vec.dot(ray0) > 0):
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p1 = get_image_point(verts[edge[0]], K_b, world_2_camera)
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if not (cam_forward_vec.dot(ray1) > 0):
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p2 = get_image_point(verts[edge[1]], K_b, world_2_camera)
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cv2.line(img, (int(p1[0]),int(p1[1])), (int(p2[0]),int(p2[1])), (255,0,0, 255), 1)
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cv2.imshow('ImageWindowName',img)
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@ -330,7 +357,7 @@ while True:
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forward_vec = vehicle.get_transform().get_forward_vector()
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ray = npc.get_transform().location - vehicle.get_transform().location
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if forward_vec.dot(ray) > 1:
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if forward_vec.dot(ray) > 0:
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p1 = get_image_point(bb.location, K, world_2_camera)http://host.robots.ox.ac.uk/pascal/VOC/
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verts = [v for v in bb.get_world_vertices(npc.get_transform())]
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x_max = -10000
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@ -408,7 +435,7 @@ while True:
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if dist < 50:
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forward_vec = vehicle.get_transform().get_forward_vector()
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ray = npc.get_transform().location - vehicle.get_transform().location
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if forward_vec.dot(ray) > 1:
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if forward_vec.dot(ray) > 0:
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p1 = get_image_point(bb.location, K, world_2_camera)
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verts = [v for v in bb.get_world_vertices(npc.get_transform())]
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x_max = -10000
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