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clarify log message
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@ -135,7 +135,7 @@ class PtzMotionEstimator:
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try:
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logger.debug(
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f"{camera}: Motion estimator transformation: {self.coord_transformations.rel_to_abs([[0,0]])}"
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f"{camera}: Motion estimator transformation: {self.coord_transformations.rel_to_abs([[0, 0]])}"
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)
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except Exception:
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pass
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@ -471,7 +471,7 @@ class PtzAutoTracker:
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self.onvif.get_camera_status(camera)
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logger.info(
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f"Calibration for {camera} in progress: {round((step/num_steps)*100)}% complete"
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f"Calibration for {camera} in progress: {round((step / num_steps) * 100)}% complete"
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)
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self.calibrating[camera] = False
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@ -515,7 +515,9 @@ class PtzAutoTracker:
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)
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if not coefficients_valid:
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logger.warning(f"{camera}: Autotracking calibration failed")
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logger.warning(
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f"{camera}: Autotracking calibration failed. See the Frigate documentation."
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)
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return False
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# If coefficients are valid, proceed with updates
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@ -707,7 +709,7 @@ class PtzAutoTracker:
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f"{camera}: Predicted movement time: {self._predict_movement_time(camera, pan, tilt)}"
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)
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logger.debug(
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f"{camera}: Actual movement time: {self.ptz_metrics[camera].stop_time.value-self.ptz_metrics[camera].start_time.value}"
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f"{camera}: Actual movement time: {self.ptz_metrics[camera].stop_time.value - self.ptz_metrics[camera].start_time.value}"
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)
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# save metrics for better estimate calculations
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@ -1000,10 +1002,10 @@ class PtzAutoTracker:
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logger.debug(f"{camera}: Zoom test: at max zoom: {at_max_zoom}")
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logger.debug(f"{camera}: Zoom test: at min zoom: {at_min_zoom}")
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logger.debug(
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f'{camera}: Zoom test: zoom in hysteresis limit: {zoom_in_hysteresis} value: {AUTOTRACKING_ZOOM_IN_HYSTERESIS} original: {self.tracked_object_metrics[camera]["original_target_box"]} max: {self.tracked_object_metrics[camera]["max_target_box"]} target: {calculated_target_box if calculated_target_box else self.tracked_object_metrics[camera]["target_box"]}'
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f"{camera}: Zoom test: zoom in hysteresis limit: {zoom_in_hysteresis} value: {AUTOTRACKING_ZOOM_IN_HYSTERESIS} original: {self.tracked_object_metrics[camera]['original_target_box']} max: {self.tracked_object_metrics[camera]['max_target_box']} target: {calculated_target_box if calculated_target_box else self.tracked_object_metrics[camera]['target_box']}"
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)
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logger.debug(
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f'{camera}: Zoom test: zoom out hysteresis limit: {zoom_out_hysteresis} value: {AUTOTRACKING_ZOOM_OUT_HYSTERESIS} original: {self.tracked_object_metrics[camera]["original_target_box"]} max: {self.tracked_object_metrics[camera]["max_target_box"]} target: {calculated_target_box if calculated_target_box else self.tracked_object_metrics[camera]["target_box"]}'
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f"{camera}: Zoom test: zoom out hysteresis limit: {zoom_out_hysteresis} value: {AUTOTRACKING_ZOOM_OUT_HYSTERESIS} original: {self.tracked_object_metrics[camera]['original_target_box']} max: {self.tracked_object_metrics[camera]['max_target_box']} target: {calculated_target_box if calculated_target_box else self.tracked_object_metrics[camera]['target_box']}"
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)
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# Zoom in conditions (and)
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@ -1086,7 +1088,7 @@ class PtzAutoTracker:
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pan = ((centroid_x / camera_width) - 0.5) * 2
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tilt = (0.5 - (centroid_y / camera_height)) * 2
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logger.debug(f'{camera}: Original box: {obj.obj_data["box"]}')
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logger.debug(f"{camera}: Original box: {obj.obj_data['box']}")
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logger.debug(f"{camera}: Predicted box: {tuple(predicted_box)}")
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logger.debug(
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f"{camera}: Velocity: {tuple(np.round(average_velocity).flatten().astype(int))}"
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@ -1196,7 +1198,7 @@ class PtzAutoTracker:
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)
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zoom = (ratio - 1) / (ratio + 1)
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logger.debug(
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f'{camera}: limit: {self.tracked_object_metrics[camera]["max_target_box"]}, ratio: {ratio} zoom calculation: {zoom}'
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f"{camera}: limit: {self.tracked_object_metrics[camera]['max_target_box']}, ratio: {ratio} zoom calculation: {zoom}"
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)
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if not result:
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# zoom out with special condition if zooming out because of velocity, edges, etc.
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