evaluate problem

[Pluto1314]

Do you also use the code 'evaluate.py' to evaluate the results of the 'abdominal' dataset?
On the same code, I am able to get correct 'cardiac' results using the trained model you provided, but the 'abdominal' results are not normal and even give an error.

[chke097]

May I ask whether your training model is successful? My training model has this error:

caused by op 'shuffle_batch', defined at:
File "main.py", line 626, in
main(config_filename='./config_param.json')
File "main.py", line 622, in main
sifa_model.train()
File "main.py", line 355, in train
self.inputs = data_loader.load_data(self._source_train_pth, self._target_train_pth, True)
File "/data2/xxb/SIFA-master/SIFA-master/data_loader.py", line 112, in load_data
1,50,10,num_threads=4)
File "/data2/xxb/anaconda/envs/tensorflow10/lib/python3.6/site-packages/tensorflow/python/training/input.py", line 1300, in shuffle_batch
name=name)
File "/data2/xxb/anaconda/envs/tensorflow10/lib/python3.6/site-packages/tensorflow/python/training/input.py", line 846, in _shuffle_batch
dequeued = queue.dequeue_many(batch_size, name=name)
File "/data2/xxb/anaconda/envs/tensorflow10/lib/python3.6/site-packages/tensorflow/python/ops/data_flow_ops.py", line 476, in dequeue_many
self._queue_ref, n=n, component_types=self._dtypes, name=name)
File "/data2/xxb/anaconda/envs/tensorflow10/lib/python3.6/site-packages/tensorflow/python/ops/gen_data_flow_ops.py", line 3480, in queue_dequeue_many_v2
component_types=component_types, timeout_ms=timeout_ms, name=name)
File "/data2/xxb/anaconda/envs/tensorflow10/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py", line 787, in _apply_op_helper
op_def=op_def)
File "/data2/xxb/anaconda/envs/tensorflow10/lib/python3.6/site-packages/tensorflow/python/util/deprecation.py", line 454, in new_func
return func(*args, **kwargs)
File "/data2/xxb/anaconda/envs/tensorflow10/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 3155, in create_op
op_def=op_def)
File "/data2/xxb/anaconda/envs/tensorflow10/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 1717, in init
self._traceback = tf_stack.extract_stack()

OutOfRangeError (see above for traceback): RandomShuffleQueue '_2_shuffle_batch/random_shuffle_queue' is closed and has insufficient elements (requested 1, current size 0)
[[Node: shuffle_batch = QueueDequeueManyV2[component_types=[DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT], timeout_ms=-1, _device="/job:localhost/replica:0/task:0/device:CPU:0"](shuffle_batch/random_shuffle_queue, shuffle_batch/n)]]

How to solve this problem？

[cchen-cc]

@Pluto1314 Hi，the code for evaluation on "abdominal" dataset is generally the same as that for "cardiac" dataset, but you need to pay attention to some operation on data, such as the flip operation in line 162-165. I would suggest you to plot the data before inputting into the model to check whether everything is right.

[cchen-cc]

@chke097 This problem is caused by the unsuccessful data reading from tfrecords. You may find some suggestions by browsing other closed issues, but usually careful debug is needed to solve the error as there are quite some different reasons for this error.

[iTomxy]

Has to convert .nii.gz data to .npz format first. The conversion code can be found at Sunxy11/ADR/convertToNpz.py.