Update handler.py
Browse files- handler.py +3 -0
handler.py
CHANGED
@@ -18,6 +18,7 @@ class EndpointHandler:
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key = inputs.get("key")
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########################### Load Image #################################
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CLIENT = InferenceHTTPClient(api_url="https://detect.roboflow.com", api_key=key)
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if isurl: # for url set isurl = 1
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req = urllib.request.urlopen(path)
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arr = np.asarray(bytearray(req.read()), dtype=np.uint8)
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@@ -32,6 +33,7 @@ class EndpointHandler:
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# clothing-segmentation-dataset/1
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# t-shirts-detector/1
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# mainmodel/2
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result = CLIENT.infer(path, model_id="mainmodel/2")
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detections = sv.Detections.from_inference(result)
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# print(detections)
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@@ -40,6 +42,7 @@ class EndpointHandler:
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########################### Data proccessing #################################
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# only pass the first detection
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# change 1 -> to len(detections.xyxy) to pass all photos
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if detections.confidence.size == 0:
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return "Not Found"
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else:
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key = inputs.get("key")
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########################### Load Image #################################
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CLIENT = InferenceHTTPClient(api_url="https://detect.roboflow.com", api_key=key)
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print("get client")
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if isurl: # for url set isurl = 1
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req = urllib.request.urlopen(path)
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arr = np.asarray(bytearray(req.read()), dtype=np.uint8)
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# clothing-segmentation-dataset/1
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# t-shirts-detector/1
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# mainmodel/2
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print("start model detection")
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result = CLIENT.infer(path, model_id="mainmodel/2")
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detections = sv.Detections.from_inference(result)
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# print(detections)
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########################### Data proccessing #################################
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# only pass the first detection
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# change 1 -> to len(detections.xyxy) to pass all photos
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print("Data processing")
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if detections.confidence.size == 0:
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return "Not Found"
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else:
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