update ieemoo-ai-isempty.py.
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@ -134,32 +134,32 @@ def get_isempty():
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imgdata = base64.b64decode(pic)
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imgdata_np = np.frombuffer(imgdata, dtype='uint8')
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img_src = cv2.imdecode(imgdata_np, cv2.IMREAD_COLOR)
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#cv2.imwrite('huanyuan.jpg',img_src)
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img_data = Image.fromarray(np.uint8(img_src)) #这个转换不能要,会导致判空错误增加
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#img_data = Image.open('huanyuan.jpg')
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cv2.imwrite('huanyuan.jpg',img_src)
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#img_data = Image.fromarray(np.uint8(img_src)) #这个转换不能要,会导致判空错误增加
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img_data = Image.open('huanyuan.jpg')
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result = predictor.normal_predict(img_data, result) # 1==empty, 0==nonEmpty
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#riseresult = lightrise.riseempty(img_data)
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riseresult = lightrise.riseempty(img_data)
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#print(riseresult["rst_cls"])
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# if(result["rst_cls"]==1):
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# if(riseresult["rst_cls"]==1):
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# result = {}
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# result["success"] = "true"
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# result["rst_cls"] = 1
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# else:
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# result = {}
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# result["success"] = "true"
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# result["rst_cls"] = 0
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# else:
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# if(riseresult["rst_cls"]==0):
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# result = {}
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# result["success"] = "true"
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# result["rst_cls"] = 0
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# else:
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# result = {}
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# result["success"] = "true"
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# result["rst_cls"] = 1
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if(result["rst_cls"]==1):
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if(riseresult["rst_cls"]==1):
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result = {}
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result["success"] = "true"
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result["rst_cls"] = 1
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else:
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result = {}
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result["success"] = "true"
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result["rst_cls"] = 0
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else:
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if(riseresult["rst_cls"]==0):
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result = {}
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result["success"] = "true"
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result["rst_cls"] = 0
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else:
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result = {}
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result["success"] = "true"
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result["rst_cls"] = 1
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return repr(result)
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