最近使用keras+tensorflow的densent模型处理OCR，直接传入文件运行正常，但用Flask通过web 上传文件后调用相同的功能时会报如下错误：
File "e:\big-data\ocr\BDP_SMARTOCR-REPO\trunk\Src\epocr-lic\ocr.py", line 69, in charRec
text = keras_densenet(image)
File "e:\big-data\ocr\BDP_SMARTOCR-REPO\trunk\Src\epocr-lic\densenet\model.py", line 54, in predict
y_pred = basemodel.predict(X)
File "e:\deep_learn\tf-gpu\lib\site-packages\keras\engine\training.py", line 1164, in predict
self._make_predict_function()
File "e:\deep_learn\tf-gpu\lib\site-packages\keras\engine\training.py", line 554, in _make_predict_function
**kwargs)
File "e:\deep_learn\tf-gpu\lib\site-packages\keras\backend\tensorflow_backend.py", line 2744, in function
return Function(inputs, outputs, updates=updates, **kwargs)
File "e:\deep_learn\tf-gpu\lib\site-packages\keras\backend\tensorflow_backend.py", line 2546, in __init__
with tf.control_dependencies(self.outputs):
File "e:\deep_learn\tf-gpu\lib\site-packages\tensorflow\python\framework\ops.py", line 5028, in control_dependencies
return get_default_graph().control_dependencies(control_inputs)
File "e:\deep_learn\tf-gpu\lib\site-packages\tensorflow\python\framework\ops.py", line 4528, in control_dependencies
c = self.as_graph_element(c)
File "e:\deep_learn\tf-gpu\lib\site-packages\tensorflow\python\framework\ops.py", line 3478, in as_graph_element
return self._as_graph_element_locked(obj, allow_tensor, allow_operation)
File "e:\deep_learn\tf-gpu\lib\site-packages\tensorflow\python\framework\ops.py", line 3557, in _as_graph_element_locked
raise ValueError("Tensor %s is not an element of this graph." % obj)
ValueError: Tensor Tensor("out_2/truediv:0", shape=(?, ?, 5990), dtype=float32) is not an element of this graph
解决方案：
在Flask启动文件中，先调用一次出错的功能，然后再接收到上传图片后调用该功能时就不会报上述错误了。