more numpy conversion

This commit is contained in:
Josh Hawkins 2023-10-11 17:52:25 -05:00
parent 560a7e3281
commit 0825458bcb

View File

@ -635,11 +635,10 @@ class PtzAutoTracker:
# ensure object is not moving quickly # ensure object is not moving quickly
below_velocity_threshold = ( below_velocity_threshold = (
( np.all(
abs(average_velocity[0]) < velocity_threshold_x abs(average_velocity)
and abs(average_velocity[1]) < velocity_threshold_y < np.array([velocity_threshold_x, velocity_threshold_y])
) )
# velocity tuple calculated to be invalid, indicate that we are below threshold
or distance == -1 or distance == -1
) )
@ -677,7 +676,7 @@ class PtzAutoTracker:
f"{camera}: Zoom test: below dimension threshold: {below_dimension_threshold} width: {(bb_right - bb_left) / camera_width}, height: { (bb_bottom - bb_top) / camera_height}" f"{camera}: Zoom test: below dimension threshold: {below_dimension_threshold} width: {(bb_right - bb_left) / camera_width}, height: { (bb_bottom - bb_top) / camera_height}"
) )
logger.debug( logger.debug(
f"{camera}: Zoom test: below velocity threshold: {below_velocity_threshold} velocity x: {abs(average_velocity[0])}, x threshold: {velocity_threshold_x}, velocity y: {abs(average_velocity[1])}, y threshold: {velocity_threshold_y}" f"{camera}: Zoom test: below velocity threshold: {below_velocity_threshold} velocity x: {abs(np.mean(average_velocity[:, 0]))}, x threshold: {velocity_threshold_x}, velocity y: {abs(np.mean(average_velocity[:, 1]))}, y threshold: {velocity_threshold_y}"
) )
logger.debug(f"{camera}: Zoom test: at max zoom: {at_max_zoom}") logger.debug(f"{camera}: Zoom test: at max zoom: {at_max_zoom}")
logger.debug(f"{camera}: Zoom test: at min zoom: {at_min_zoom}") logger.debug(f"{camera}: Zoom test: at min zoom: {at_min_zoom}")
@ -717,7 +716,7 @@ class PtzAutoTracker:
camera_height = camera_config.frame_shape[0] camera_height = camera_config.frame_shape[0]
camera_fps = camera_config.detect.fps camera_fps = camera_config.detect.fps
average_velocity = (0,) * 4 average_velocity = np.zeros((2, 2))
predicted_box = obj.obj_data["box"] predicted_box = obj.obj_data["box"]
centroid_x = obj.obj_data["centroid"][0] centroid_x = obj.obj_data["centroid"][0]