Fixed color optical flow type.
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c88e5b780d
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@ -210,14 +210,25 @@ static void ConvertImage(T &self, EColorConverter cc) {
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throw std::invalid_argument("invalid color converter!");
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}
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}
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// image object resturned from optical flow to color conversion
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class FakeImage : public std::vector<uint8_t> {
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public:
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unsigned int Width = 0;
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unsigned int Height = 0;
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float FOV = 0;
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};
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// method to convert optical flow images to rgb
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static std::vector<uint8_t> ColorCodedFlow (
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static FakeImage ColorCodedFlow (
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carla::sensor::data::OpticalFlowImage& image) {
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namespace bp = boost::python;
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namespace csd = carla::sensor::data;
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constexpr float pi = 3.1415f;
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constexpr float rad2ang = 360.f/(2.f*pi);
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std::vector<uint8_t> result;
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FakeImage result;
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result.Width = image.GetWidth();
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result.Height = image.GetHeight();
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result.FOV = image.GetFOVAngle();
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result.resize(image.GetHeight()*image.GetWidth()* 4);
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// lambda for computing batches of pixels
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@ -353,10 +364,14 @@ void export_sensor_data() {
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namespace csd = carla::sensor::data;
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namespace css = carla::sensor::s11n;
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// wrapper for std::vector<uint8_t>
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class_<std::vector<uint8_t> >("VecUint8")
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// Fake image returned from optical flow to color conversion
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// fakes the regular image object
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class_<FakeImage>("FakeImage", no_init)
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.def(vector_indexing_suite<std::vector<uint8_t>>())
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.add_property("raw_data", &GetRawDataAsBuffer<std::vector<uint8_t> >);
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.add_property("width", &FakeImage::Width)
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.add_property("height", &FakeImage::Height)
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.add_property("fov", &FakeImage::FOV)
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.add_property("raw_data", &GetRawDataAsBuffer<FakeImage>);
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class_<cs::SensorData, boost::noncopyable, boost::shared_ptr<cs::SensorData>>("SensorData", no_init)
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.add_property("frame", &cs::SensorData::GetFrame)
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@ -1084,8 +1084,8 @@ class CameraManager(object):
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dvs_img[dvs_events[:]['y'], dvs_events[:]['x'], dvs_events[:]['pol'] * 2] = 255
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self.surface = pygame.surfarray.make_surface(dvs_img.swapaxes(0, 1))
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elif self.sensors[self.index][0].startswith('sensor.camera.optical_flow'):
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array = image.get_color_coded_flow()
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array = np.frombuffer(array, dtype=np.dtype("uint8"))
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image = image.get_color_coded_flow()
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array = np.frombuffer(image.raw_data, dtype=np.dtype("uint8"))
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array = np.reshape(array, (image.height, image.width, 4))
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array = array[:, :, :3]
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array = array[:, :, ::-1]
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