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https://github.com/blakeblackshear/frigate.git
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crop on initial generation as well
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parent
fb6dce8fa7
commit
28ff075b58
@ -144,6 +144,24 @@ class EmbeddingMaintainer(threading.Thread):
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) as image_file:
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) as image_file:
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snapshot_image = image_file.read()
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snapshot_image = image_file.read()
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img = cv2.imdecode(
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np.frombuffer(snapshot_image, dtype=np.int8),
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cv2.IMREAD_COLOR,
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)
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# crop snapshot based on region before sending off to genai
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height, width = img.shape[:2]
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x1_rel, y1_rel, width_rel, height_rel = event.data["region"]
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x1, y1 = int(x1_rel * width), int(y1_rel * height)
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cropped_image = img[
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y1 : y1 + int(height_rel * height),
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x1 : x1 + int(width_rel * width),
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]
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_, buffer = cv2.imencode(".jpg", cropped_image)
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snapshot_image = buffer.tobytes()
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embed_image = (
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embed_image = (
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[snapshot_image]
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[snapshot_image]
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if event.has_snapshot and camera_config.genai.use_snapshot
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if event.has_snapshot and camera_config.genai.use_snapshot
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@ -154,7 +172,7 @@ class EmbeddingMaintainer(threading.Thread):
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)
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)
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)
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)
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# Generate the description, passing the correct image argument
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# Generate the description. Call happens in a thread since it is network bound.
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threading.Thread(
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threading.Thread(
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target=self._embed_description,
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target=self._embed_description,
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name=f"_embed_description_{event.id}",
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name=f"_embed_description_{event.id}",
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