Btukfyl

I want to ask that how to load model 1 time and use this to predict a lot of time?

HERE IS CODE

`class CLASSIFY(object):

   cls_model = None

   def Classification_model(self, img):

    with tf.Session(graph=graph) as sess:

       if not self.cls_model:

        print("load model classify")

        self.cls_model = load_model(

            "C:\Users\BootAI\Desktop\hensolt_13_11\Hensoldt_ServerDetect_deadline\model\model_data/model.h5",

            compile=False)

       x = self.cls_model.predict(img)

       z = self.cls_model.predict_classes(img)





`

Can you see cls_model. In the first call Classification_model. It's work but in the second it got error:

`Traceback (most recent call last):
File "C:UsersBootAIAppDataLocalProgramsPythonPython36libthreading.py", line 916, in _bootstrap_inner
self.run()
File "C:UsersBootAIAppDataLocalProgramsPythonPython36libthreading.py", line 864, in run
self._target(*self._args, **self._kwargs)
File "C:UsersBootAIDesktophensolt_13_11Hensoldt_ServerDetect_deadlineappdrone_detection.py", line 30, in detect_drone
data = predict_stack(stack_img, frame_id, list_path)
File "C:UsersBootAIDesktophensolt_13_11Hensoldt_ServerDetect_deadlineappdrone_detection.py", line 36, in predict_stack
out_classes, out_scores, out_boxes = yolo.detect_image2(stack_data, list_path)
File "C:UsersBootAIDesktophensolt_13_11Hensoldt_ServerDetect_deadlinemodelRunModel.py", line 318, in detect_image2
pred, predclass = self.Classification_model(img)
File "C:UsersBootAIDesktophensolt_13_11Hensoldt_ServerDetect_deadlinemodelRunModel.py", line 173, in Classification_model
x = self.cls_model.predict(img)
File "C:UsersBootAIDesktophensolt_13_11Hensoldt_orchestratorvenv1libsite-packageskerasenginetraining.py", line 1169, in predict
steps=steps)
File "C:UsersBootAIDesktophensolt_13_11Hensoldt_orchestratorvenv1libsite-packageskerasenginetraining_arrays.py", line 294, in predict_loop
batch_outs = f(ins_batch)
File "C:UsersBootAIDesktophensolt_13_11Hensoldt_orchestratorvenv1libsite-packageskerasbackendtensorflow_backend.py", line 2715, in call
return self._call(inputs)
File "C:UsersBootAIDesktophensolt_13_11Hensoldt_orchestratorvenv1libsite-packageskerasbackendtensorflow_backend.py", line 2675, in _call
fetched = self._callable_fn(*array_vals)
File "C:UsersBootAIDesktophensolt_13_11Hensoldt_orchestratorvenv1libsite-packagestensorflowpythonclientsession.py", line 1439, in call
run_metadata_ptr)
File "C:UsersBootAIDesktophensolt_13_11Hensoldt_orchestratorvenv1libsite-packagestensorflowpythonframeworkerrors_impl.py", line 528, in exit
c_api.TF_GetCode(self.status.status))
tensorflow.python.framework.errors_impl.FailedPreconditionError: Attempting to use uninitialized value conv2d/kernel
[[{{node conv2d/kernel/read}} = IdentityT=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:GPU:0"]]
[[{{node dense_1/Softmax/_11}} = _Recvclient_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device_incarnation=1, tensor_name="edge_114_dense_1/Softmax", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"]]

`