im confused about the img size in train set and validation set

[anqier0468]

Actually, i meet this problem.
File "/home/..../Bilinear-CNN-TensorFlow/core/bcnn_DD_woft_with_random_crops.py", line 398, in
val_loss += sess.run(loss, feed_dict={imgs: batch_val_x, target: batch_val_y})
File "/home/..../python2.7/site-packages/tensorflow/python/client/session.py", line 778, in run
run_metadata_ptr)
File "/home/....../python2.7/site-packages/tensorflow/python/client/session.py", line 961, in _run
% (np_val.shape, subfeed_t.name, str(subfeed_t.get_shape())))
ValueError: Cannot feed value of shape (10, 224, 224, 3) for Tensor u'Placeholder:0', which has shape '(?, 448, 448, 3)'
so ,why is the img size of train set and val set, test set different in create_h5_datasets.py?

build_hdf5_image_dataset(new_val, image_shape=(224, 224), mode='file', output_path='new_val_224.h5', categorical_labels=True, normalize=False)' build_hdf5_image_dataset(new_test, image_shape=(224, 224), mode='file', output_path='new_test_224.h5', categorical_labels=True, normalize=False)' build_hdf5_image_dataset(new_train, image_shape=(488, 488), mode='file', output_path='new_train_488.h5', categorical_labels=True, normalize=False)'
Hope for your answer. 3Q

[JUSTDODoDo]

I have encountered the same problem. I solved the verification set size to 448x448. I still have a question, can the size of the test set be set to 448x448?