fixed indentation
Browse files- handler.py +20 -24
handler.py
CHANGED
@@ -8,41 +8,37 @@ class EndpointHandler():
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def __init__(self, path=""):
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# Preload all the elements you are going to need at inference.
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model_type = "vit_b"
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def __call__(self, data: Dict[str, Any]) -> List[Dict[str, Any]]:
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"""
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inputs (:obj: `str` | `PIL.Image` | `np.array`)
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kwargs
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A :obj:`list` | `dict`: will be serialized and returned
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"""
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return jsonify(image_embedding)
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# pseudo
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# self.model(input)
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def __init__(self, path=""):
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# Preload all the elements you are going to need at inference.
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model_type = "vit_b"
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# prefix = "/opt/ml/model"
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model_path = "tf_model.h5"
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# model_checkpoint_path = os.path.join(prefix, "sam_vit_h_4b8939.pth")
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sam = sam_model_registry[model_type](checkpoint=model_path)
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self.predictor = SamPredictor(sam)
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def __call__(self, data: Dict[str, Any]) -> List[Dict[str, Any]]:
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"""
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data args:
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inputs (:obj: `str` | `PIL.Image` | `np.array`)
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kwargs
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Return:
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A :obj:`list` | `dict`: will be serialized and returned
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"""
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inputs = data.pop("inputs", data)
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image_url = inputs.pop("imageUrl", None)
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if not image_url:
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return jsonify({"error": "image_url not provided"}), 400
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try:
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response = requests.get(image_url)
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response.raise_for_status()
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image = response.content
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except requests.RequestException as e:
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return jsonify({"error": f"Error downloading image: {str(e)}"}), 500
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self.predictor.set_image(image)
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image_embedding = self.predictor.get_image_embedding().cpu().numpy().tolist()
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return jsonify(image_embedding)
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