search

ZJULearning / pixel_link

Implementation of our paper 'PixelLink: Detecting Scene Text via Instance Segmentation' in AAAI2018
MIT License
767 stars 254 forks source link

TypeError: Can not convert a list into a Tensor or Operation. #158

Open Lanme opened 4 years ago

Lanme commented 4 years ago

When I run "./scripts/train.sh 0,1 8" ：

Traceback (most recent call last): File "train_pixel_link.py", line 293, in tf.app.run() File "/ai/installs/anaconda3/envs/py27_tf/lib/python2.7/site-packages/tensorflow/python/platform/app.py", line 125, in run _sys.exit(main(argv)) File "train_pixel_link.py", line 288, in main train_op = create_clones(batch_queue) File "train_pixel_link.py", line 252, in create_clones train_op = control_flow_ops.with_dependencies(train_ops, pixel_link_loss, name='train_op') File "/ai/installs/anaconda3/envs/py27_tf/lib/python2.7/site-packages/tensorflow/python/ops/control_flow_ops.py", line 3368, in with_dependencies with ops.control_dependencies(dependencies): File "/ai/installs/anaconda3/envs/py27_tf/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 5004, in control_dependencies return get_default_graph().control_dependencies(control_inputs) File "/ai/installs/anaconda3/envs/py27_tf/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 4543, in control_dependencies c = self.as_graph_element(c) File "/ai/installs/anaconda3/envs/py27_tf/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 3490, in as_graph_element return self._as_graph_element_locked(obj, allow_tensor, allow_operation) File "/ai/installs/anaconda3/envs/py27_tf/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 3579, in _as_graph_element_locked types_str)) TypeError: Can not convert a list into a Tensor or Operation.

opencv_version:2.4.13.4 python:2.7.15 tensorflow:1.12 cuda:9.0

After I change tensorflow1.12 to tensorflow1.1,the problem still remains.

Lanme commented 4 years ago

if bn_update_op is not None:

change this line into :

if bn_update_op!=[]: train_ops.append(bn_update_op)