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more numpy conversion
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560a7e3281
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@ -635,11 +635,10 @@ class PtzAutoTracker:
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# ensure object is not moving quickly
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below_velocity_threshold = (
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(
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abs(average_velocity[0]) < velocity_threshold_x
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and abs(average_velocity[1]) < velocity_threshold_y
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np.all(
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abs(average_velocity)
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< np.array([velocity_threshold_x, velocity_threshold_y])
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)
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# velocity tuple calculated to be invalid, indicate that we are below threshold
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or distance == -1
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)
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@ -677,7 +676,7 @@ class PtzAutoTracker:
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f"{camera}: Zoom test: below dimension threshold: {below_dimension_threshold} width: {(bb_right - bb_left) / camera_width}, height: { (bb_bottom - bb_top) / camera_height}"
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)
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logger.debug(
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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}"
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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}"
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)
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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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@ -717,7 +716,7 @@ class PtzAutoTracker:
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camera_height = camera_config.frame_shape[0]
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camera_fps = camera_config.detect.fps
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average_velocity = (0,) * 4
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average_velocity = np.zeros((2, 2))
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predicted_box = obj.obj_data["box"]
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centroid_x = obj.obj_data["centroid"][0]
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