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Issam28 / Brain-tumor-segmentation

A deep learning based approach for brain tumor MRI segmentation.
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ResUnet Error. #39

Open tariketokgoznyc opened 2 years ago

tariketokgoznyc commented 2 years ago

Hi Issam, while I run train.py, I encountered that error even though I used ResUnet.epoch_02.hdf5. For that reason, ResUnet.04_0.646.hdf5 isn't exist. Also, this error is runfile('C:/Users/Tarik Enis TOKGOZ/Documents/Python Scripts/Brain Tumor Segmentation/train.py', wdir='C:/Users/Tarik Enis TOKGOZ/Documents/Python Scripts/Brain Tumor Segmentation') Traceback (most recent call last):

File "C:\Users\Tarik Enis TOKGOZ\anaconda3\lib\site-packages\spyder_kernels\py3compat.py", line 356, in compat_exec exec(code, globals, locals)

File "c:\users\tarik enis tokgoz\documents\python scripts\brain tumor segmentation\train.py", line 115, in brain_seg = Training(batch_size=4,nb_epoch=3,load_model_resume_training=model_to_load)

File "c:\users\tarik enis tokgoz\documents\python scripts\brain tumor segmentation\train.py", line 46, in init self.model =load_model(load_model_resume_training,custom_objects={'gen_dice_loss': gen_dice_loss,'dice_whole_metric':dice_whole_metric,'dice_core_metric':dice_core_metric,'dice_en_metric':dice_en_metric})

File "C:\Users\Tarik Enis TOKGOZ\anaconda3\lib\site-packages\keras\utils\traceback_utils.py", line 67, in error_handler raise e.with_traceback(filtered_tb) from None

File "C:\Users\Tarik Enis TOKGOZ\anaconda3\lib\site-packages\keras\saving\hdf5_format.py", line 182, in load_model_from_hdf5 raise ValueError(f'No model config found in the file at {filepath}.')

ValueError: No model config found in the file at <tensorflow.python.platform.gfile.GFile object at 0x0000015800304D00>.