Moved ToImage() and added a use case in man_contr
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@ -9,6 +9,7 @@
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#include "carla/Debug.h"
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#include "carla/sensor/data/Array.h"
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#include "carla/sensor/data/DVSEvent.h"
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#include "carla/sensor/data/Color.h"
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#include "carla/sensor/s11n/DVSEventArraySerializer.h"
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namespace carla {
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@ -51,6 +52,22 @@ namespace data {
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auto GetFOVAngle() const {
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return GetHeader().fov_angle;
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}
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std::vector<Color> ToImage() const {
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std::vector<Color> img(GetHeight() * GetWidth());
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for (const auto &event : *this) {
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size_t index = (GetWidth() * event.y) + event.x;
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if (event.pol == true) {
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// Blue is positive
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img[index].b = 255u;
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} else {
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// Red is negative
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img[index].r = 255u;
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}
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}
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return img;
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}
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};
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} // namespace data
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@ -319,12 +319,6 @@ void export_sensor_data() {
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.def(self_ns::str(self_ns::self))
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;
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class_<std::vector<csd::Color> >("ColorVector")
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.add_property("raw_data", &GetRawDataAsBuffer< std::vector<csd::Color> >)
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.def("__len__", &std::vector<csd::Color>::size)
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.def(vector_indexing_suite< std::vector<csd::Color> >())
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;
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class_<std::vector<std::int64_t>>("IntVector")
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.add_property("raw_data", &GetRawDataAsBuffer< std::vector<std::int64_t> >)
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.def("__len__", &std::vector<std::int64_t>::size)
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@ -364,25 +358,7 @@ void export_sensor_data() {
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.def("__setitem__", +[](csd::DVSEventArray &self, size_t pos, csd::DVSEvent event) {
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self.at(pos) = event;
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})
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.def("to_image", +[](const csd::DVSEventArray &self) -> std::vector<csd::Color> {
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std::vector<csd::Color> img (self.GetHeight() * self.GetWidth());
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for (size_t i=0; i<self.size(); ++i)
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{
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const csd::DVSEvent &event = self[i];
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size_t index = (self.GetWidth() * event.y) + event.x;
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if (event.pol == true)
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{
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/** Blue is positive **/
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img[index].b = 255u;
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}
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else
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{
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/** Red is negative **/
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img[index].r = 255u;
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}
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}
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return img;
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})
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.def("to_image", CALL_RETURNING_LIST(csd::DVSEventArray, ToImage))
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.def("to_array", +[](const csd::DVSEventArray &self) -> std::vector<std::vector<std::int64_t>> {
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std::vector<std::vector<std::int64_t>> array (self.size());
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for (size_t i=0; i<self.size(); ++i)
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@ -980,15 +980,18 @@ class CameraManager(object):
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lidar_data = lidar_data.astype(np.int32)
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lidar_data = np.reshape(lidar_data, (-1, 2))
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lidar_img_size = (self.hud.dim[0], self.hud.dim[1], 3)
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lidar_img = np.zeros((lidar_img_size), dtype = int)
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lidar_img = np.zeros((lidar_img_size), dtype=np.uint8)
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lidar_img[tuple(lidar_data.T)] = (255, 255, 255)
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self.surface = pygame.surfarray.make_surface(lidar_img)
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elif self.sensors[self.index][0].startswith('sensor.camera.dvs'):
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array = np.frombuffer(image.to_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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self.surface = pygame.surfarray.make_surface(array.swapaxes(0, 1))
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# Example of converting the raw_data from a carla.DVSEventArray
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# sensor into a NumPy array and using it as an image
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dvs_events = np.frombuffer(image.raw_data, dtype=np.dtype([
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('x', np.uint16), ('y', np.uint16), ('t', np.int64), ('pol', np.bool)]))
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dvs_img = np.zeros((image.height, image.width, 3), dtype=np.uint8)
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# Blue is positive, red is negative
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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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else:
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image.convert(self.sensors[self.index][1])
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array = np.frombuffer(image.raw_data, dtype=np.dtype("uint8"))
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