TypeError: cond() got an unexpected keyword argument 'true_fn'

[lfdeep]

hello,when i run python train.py, it occured:
Traceback (most recent call last):
File "train.py", line 230, in
train()
File "train.py", line 35, in train
is_training=True)
File "../data/io/read_tfrecord.py", line 83, in next_batch
is_training=is_training)
File "../data/io/read_tfrecord.py", line 57, in read_and_prepocess_single_img
target_shortside_len=shortside_len)
File "../data/io/image_preprocess.py", line 27, in short_side_resize
false_fn=lambda: (target_shortside_len * h//w, target_shortside_len))
TypeError: cond() got an unexpected keyword argument 'true_fn'

[Kongsea]

Maybe it's because your TensorFlow version is too old. There is actually a keyword argument true_fn in the newest version.

[lfdeep]

Thank you! you are right.After solving this problem, I encountered another problem:

Caused by op u'fast_rcnn_loss/fast_rcnn_minibatch/roi_visualize/crop_img_object', defined at:
File "train.py", line 232, in
train()
File "train.py", line 119, in train
fast_rcnn_location_loss, fast_rcnn_classification_loss = fast_rcnn.fast_rcnn_loss()
File "../libs/fast_rcnn/build_fast_rcnn.py", line 244, in fast_rcnn_loss
minibatch_label_one_hot = self.fast_rcnn_minibatch(self.fast_rcnn_all_level_proposals)
File "../libs/fast_rcnn/build_fast_rcnn.py", line 221, in fast_rcnn_minibatch
roi_visualize(self.img_batch, img_h, img_w, positive_proposals, positive_rois)
File "../libs/box_utils/visualization.py", line 28, in roi_visualize
name='crop_img_object'
File "/share/home/math.text/anaconda2/lib/python2.7/site-packages/tensorflow/python/ops/gen_image_ops.py", line 178, in crop_and_resize
name=name)
File "/share/home/math.text/anaconda2/lib/python2.7/site-packages/tensorflow/python/framework/op_def_library.py", line 768, in apply_op
op_def=op_def)
File "/share/home/math.text/anaconda2/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 2336, in create_op
original_op=self._default_original_op, op_def=op_def)
File "/share/home/math.text/anaconda2/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 1228, in init
self._traceback = _extract_stack()

InvalidArgumentError (see above for traceback): No OpKernel was registered to support Op 'CropAndResize' with these attrs. Registered devices: [CPU,GPU], Registered kernels:
device='CPU'; T in [DT_FLOAT]
device='GPU'; T in [DT_FLOAT]

     [[Node: fast_rcnn_loss/fast_rcnn_minibatch/roi_visualize/crop_img_object = CropAndResize[T=DT_UINT8, extrapolation_value=0, method="bilinear"](fast_rcnn_loss/fast_rcnn_minibatch/roi_visualize/ExpandDims, fast_rcnn_loss/fast_rcnn_minibatch/roi_visualize/transpose, fast_rcnn_loss/fast_rcnn_minibatch/roi_visualize/zeros, fast_rcnn_loss/fast_rcnn_minibatch/roi_visualize/crop_img_object/crop_size)]]