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Standardize pixel values for face input

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This commit is contained in:
Nicolas Mowen 2024-11-06 07:46:14 -07:00
parent ade1e9f0aa
commit d353450f1c
2 changed files with 5 additions and 2 deletions
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3
frigate/embeddings/functions/onnx.py
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@ -221,6 +221,9 @@ class GenericONNXEmbedding:
# copy img image into center of result image
frame[y_center : y_center + og_h, x_center : x_center + og_w] = og
# standardize pixel values across channels
mean, std = frame.mean(), frame.std()
frame = (frame - mean) / std
frame = np.expand_dims(frame, axis=0)
return [{"input_2": frame}]
elif self.model_type == ModelTypeEnum.lpr_detect:

4
frigate/embeddings/maintainer.py
View File

@ -406,7 +406,7 @@ class EmbeddingMaintainer(threading.Thread):
logger.debug("Detected no faces for person object.")
return
margin = int((face_box[2] - face_box[0]) * 0.4)
margin = int((face_box[2] - face_box[0]) * 0.25)
face_frame = person[
max(0, face_box[1] - margin) : min(
frame.shape[0], face_box[3] + margin
@ -442,7 +442,7 @@ class EmbeddingMaintainer(threading.Thread):
return
face_frame = cv2.cvtColor(frame, cv2.COLOR_YUV2BGR_I420)
margin = int((face_box[2] - face_box[0]) * 0.4)
margin = int((face_box[2] - face_box[0]) * 0.25)
face_frame = face_frame[
max(0, face_box[1] - margin) : min(