32 #ifndef OPTICFLOW_CALCULATOR_H
33 #define OPTICFLOW_CALCULATOR_H
89 float *measurement_noise,
float process_noise,
bool reinitialize_kalman);
uint16_t fast9_min_distance
Minimum distance in pixels between corners.
bool feature_management
Decides whether to keep track corners in memory for the next frame instead of re-detecting every time...
uint8_t max_iterations
The maximum amount of iterations the Lucas Kanade algorithm should do.
struct opticflow_t opticflow
Opticflow calculations.
uint16_t window_size
Window size for the blockmatching algorithm (general value for all methods)
void kalman_filter_opticflow_velocity(float *velocity_x, float *velocity_y, float *acceleration_measurement, float fps, float *measurement_noise, float process_noise, bool reinitialize_kalman)
Filter the velocity with a simple linear kalman filter, together with the accelerometers.
uint16_t fast9_rsize
Amount of corners allocated.
void opticflow_calc_init(struct opticflow_t *opticflow)
Initialize the opticflow calculator.
Capture images from a V4L2 device (Video for Linux 2)
bool median_filter
Decides to use a median filter on the velocity.
void calc_edgeflow_tot(struct opticflow_t *opticflow, struct opticflow_state_t *state, struct image_t *img, struct opticflow_result_t *result)
Run the optical flow with EDGEFLOW on a new image frame.
Inter-thread data structures.
uint16_t resolution_factor
The resolution in EdgeFlow to determine the Divergence.
uint8_t threshold_vec
The threshold in x, y subpixels which the algorithm should stop.
bool derotation
Derotation switched on or off (depended on the quality of the gyroscope measurement) ...
uint8_t method
Method to use to calculate the optical flow.
uint8_t max_track_corners
Maximum amount of corners Lucas Kanade should track.
uint8_t fast9_num_regions
The number of regions of interest the image is split into.
Image helper functions like resizing, color filter, converters...
uint16_t subpixel_factor
The amount of subpixels per pixel.
struct point_t * fast9_ret_corners
Corners.
struct timeval prev_timestamp
Timestamp of the previous frame, used for FPS calculation.
struct image_t prev_img_gray
Previous gray image frame.
void opticflow_calc_frame(struct opticflow_t *opticflow, struct opticflow_state_t *state, struct image_t *img, struct opticflow_result_t *result)
Run the optical flow on a new image frame.
uint8_t fast9_threshold
FAST9 corner detection threshold.
bool just_switched_method
Boolean to check if methods has been switched (for reinitialization)
struct image_t img_gray
Current gray image frame.
bool kalman_filter
Decide to use Kalman filter to filter velocity with accelerometers.
bool got_first_img
If we got a image to work with.
bool fast9_region_detect
Decides whether to detect fast9 corners in specific regions of interest or the whole image (only for ...
void calc_fast9_lukas_kanade(struct opticflow_t *opticflow, struct opticflow_state_t *state, struct image_t *img, struct opticflow_result_t *result)
Run the optical flow with fast9 and lukaskanade on a new image frame.
uint16_t fast9_padding
Padding used in FAST9 detector.
bool fast9_adaptive
Whether the FAST9 threshold should be adaptive.
float derotation_correction_factor_x
Correction factor for derotation in x axis, determined from a fit from the gyros and flow rotation...
struct FloatRates prev_rates
Gyro Rates from the previous image frame.
float kalman_filter_process_noise
Process noise of the model used in the kalman filter.
uint8_t pyramid_level
Number of pyramid levels used in Lucas Kanade algorithm (0 == no pyramids used)
uint16_t search_distance
Search distance for blockmatching alg.
float derotation_correction_factor_y
Correction factor for derotation in Y axis, determined from a fit from the gyros and flow rotation...