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@ -17,10 +17,13 @@ DETECTOR_KEY = "deepstack"
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class DeepstackDetectorConfig(BaseDetectorConfig):
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type: Literal[DETECTOR_KEY]
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api_url: str = Field(default="http://localhost:80/v1/vision/detection", title="DeepStack API URL")
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api_url: str = Field(
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default="http://localhost:80/v1/vision/detection", title="DeepStack API URL"
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)
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api_timeout: float = Field(default=0.1, title="DeepStack API timeout (in seconds)")
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api_key: str = Field(default="", title="DeepStack API key (if required)")
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class DeepStack(DetectionApi):
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type_key = DETECTOR_KEY
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@ -32,15 +35,15 @@ class DeepStack(DetectionApi):
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self.h = detector_config.model.height
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self.w = detector_config.model.width
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def get_label_index(self, label_value):
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if label_value.lower() == 'truck':
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label_value = 'car'
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if label_value.lower() == "truck":
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label_value = "car"
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for index, value in self.labels.items():
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if value == label_value.lower():
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return index
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return -1
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def detect_raw(self, tensor_input):
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image_data = np.squeeze(tensor_input).astype(np.uint8)
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image = Image.fromarray(image_data)
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@ -48,10 +51,12 @@ class DeepStack(DetectionApi):
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image.save(output, format="JPEG")
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image_bytes = output.getvalue()
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data = {"api_key": self.api_key}
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response = requests.post(self.api_url, files={"image": image_bytes}, timeout=self.api_timeout)
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response = requests.post(
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self.api_url, files={"image": image_bytes}, timeout=self.api_timeout
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)
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response_json = response.json()
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detections = np.zeros((20, 6), np.float32)
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for i, detection in enumerate(response_json["predictions"]):
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logger.debug(f"Response: {detection}")
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if detection["confidence"] < 0.4:
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