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Cleanup existing naming
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b14abffea3
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@ -146,8 +146,8 @@ class FaceRealTimeProcessor(RealTimeProcessorApi):
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return face
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def __update_metrics(self, duration: float) -> None:
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self.metrics.face_rec_fps.value = (
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self.metrics.face_rec_fps.value * 9 + duration
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self.metrics.face_rec_speed.value = (
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self.metrics.face_rec_speed.value * 9 + duration
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) / 10
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def process_frame(self, obj_data: dict[str, any], frame: np.ndarray):
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@ -6,18 +6,18 @@ from multiprocessing.sharedctypes import Synchronized
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class DataProcessorMetrics:
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image_embeddings_fps: Synchronized
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text_embeddings_sps: Synchronized
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face_rec_fps: Synchronized
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alpr_pps: Synchronized
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yolov9_lpr_fps: Synchronized
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image_embeddings_speed: Synchronized
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text_embeddings_speed: Synchronized
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face_rec_speed: Synchronized
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alpr_speed: Synchronized
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yolov9_lpr_speed: Synchronized
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def __init__(self):
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self.image_embeddings_fps = mp.Value("d", 0.01)
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self.text_embeddings_sps = mp.Value("d", 0.01)
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self.face_rec_fps = mp.Value("d", 0.01)
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self.alpr_pps = mp.Value("d", 0.01)
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self.yolov9_lpr_fps = mp.Value("d", 0.01)
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self.image_embeddings_speed = mp.Value("d", 0.01)
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self.text_embeddings_speed = mp.Value("d", 0.01)
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self.face_rec_speed = mp.Value("d", 0.01)
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self.alpr_speed = mp.Value("d", 0.01)
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self.yolov9_lpr_speed = mp.Value("d", 0.01)
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class DataProcessorModelRunner:
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@ -175,8 +175,8 @@ class Embeddings:
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)
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duration = datetime.datetime.now().timestamp() - start
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self.metrics.image_embeddings_fps.value = (
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self.metrics.image_embeddings_fps.value * 9 + duration
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self.metrics.image_embeddings_speed.value = (
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self.metrics.image_embeddings_speed.value * 9 + duration
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) / 10
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return embedding
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@ -209,8 +209,8 @@ class Embeddings:
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)
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duration = datetime.datetime.now().timestamp() - start
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self.metrics.text_embeddings_sps.value = (
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self.metrics.text_embeddings_sps.value * 9 + (duration / len(ids))
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self.metrics.text_embeddings_speed.value = (
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self.metrics.text_embeddings_speed.value * 9 + (duration / len(ids))
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) / 10
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return embeddings
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@ -231,8 +231,8 @@ class Embeddings:
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)
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duration = datetime.datetime.now().timestamp() - start
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self.metrics.text_embeddings_sps.value = (
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self.metrics.text_embeddings_sps.value * 9 + duration
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self.metrics.text_embeddings_speed.value = (
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self.metrics.text_embeddings_speed.value * 9 + duration
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) / 10
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return embedding
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@ -264,8 +264,8 @@ class Embeddings:
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)
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duration = datetime.datetime.now().timestamp() - start
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self.metrics.text_embeddings_sps.value = (
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self.metrics.text_embeddings_sps.value * 9 + (duration / len(ids))
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self.metrics.text_embeddings_speed.value = (
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self.metrics.text_embeddings_speed.value * 9 + (duration / len(ids))
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) / 10
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return embeddings
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@ -293,27 +293,30 @@ def stats_snapshot(
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stats["embeddings"].update(
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{
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"image_embedding_speed": round(
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embeddings_metrics.image_embeddings_fps.value * 1000, 2
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embeddings_metrics.image_embeddings_speed.value * 1000, 2
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),
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"text_embedding_speed": round(
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embeddings_metrics.text_embeddings_sps.value * 1000, 2
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embeddings_metrics.text_embeddings_speed.value * 1000, 2
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),
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}
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)
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if config.face_recognition.enabled:
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stats["embeddings"]["face_recognition_speed"] = round(
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embeddings_metrics.face_rec_fps.value * 1000, 2
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embeddings_metrics.face_rec_speed.value * 1000, 2
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)
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stats["embeddings"]["face_recognition_rps"] = round(
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embeddings_metrics.face_rec_rps, 2
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)
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if config.lpr.enabled:
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stats["embeddings"]["plate_recognition_speed"] = round(
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embeddings_metrics.alpr_pps.value * 1000, 2
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embeddings_metrics.alpr_speed.value * 1000, 2
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)
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if "license_plate" not in config.objects.all_objects:
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stats["embeddings"]["yolov9_plate_detection_speed"] = round(
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embeddings_metrics.yolov9_lpr_fps.value * 1000, 2
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embeddings_metrics.yolov9_lpr_speed.value * 1000, 2
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)
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get_processing_stats(config, stats, hwaccel_errors)
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