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tensorflow.python.framework.errors_impl.InvalidArgumentError: {{function_node __inference_Dataset_map_decode_236}} Input to reshape is a tensor with 470016 values, but the requested shape has 156672
[[{{node Reshape_1}}]]
[[graph_input_node/train_IteratorGetNext_1]]
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "train_lanenet_tusimple.py", line 40, in
train_model()
File "train_lanenet_tusimple.py", line 32, in train_model
worker.train()
File "C:\Users\admin\Documents\lanenet-lane-detection-master\lanenet-lane-detection-master\lanenet-lane-detection-master\tools\trainner\tusimple_lanenet_multi_gpu_trainner.py", line 409, in train
train_step_instance_loss, global_step_val = self._sess.run(fetches=[self._train_op, self._miou_update_op, self._write_summary_op_with_miou,self._loss, self._binary_loss, self._instance_loss,self._global_step]
File "C:\Users\admin.conda\envs\Lanenet\lib\site-packages\tensorflow_core\python\client\session.py", line 956, in run
run_metadata_ptr)
File "C:\Users\admin.conda\envs\Lanenet\lib\site-packages\tensorflow_core\python\client\session.py", line 1180, in _run
feed_dict_tensor, options, run_metadata)
File "C:\Users\admin.conda\envs\Lanenet\lib\site-packages\tensorflow_core\python\client\session.py", line 1359, in _do_run
run_metadata)
File "C:\Users\admin.conda\envs\Lanenet\lib\site-packages\tensorflow_core\python\client\session.py", line 1384, in _do_call
raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.InvalidArgumentError: Input to reshape is a tensor with 470016 values, but the requested shape has 156672
[[{{node Reshape_1}}]]
[[graph_input_node/train_IteratorGetNext_1]]
I have checked input image dimension of all the three folder has 1280x720....please help
The text was updated successfully, but these errors were encountered:
tensorflow.python.framework.errors_impl.InvalidArgumentError: {{function_node __inference_Dataset_map_decode_236}} Input to reshape is a tensor with 470016 values, but the requested shape has 156672
[[{{node Reshape_1}}]]
[[graph_input_node/train_IteratorGetNext_1]]
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "train_lanenet_tusimple.py", line 40, in
train_model()
File "train_lanenet_tusimple.py", line 32, in train_model
worker.train()
File "C:\Users\admin\Documents\lanenet-lane-detection-master\lanenet-lane-detection-master\lanenet-lane-detection-master\tools\trainner\tusimple_lanenet_multi_gpu_trainner.py", line 409, in train
train_step_instance_loss, global_step_val = self._sess.run(fetches=[self._train_op, self._miou_update_op, self._write_summary_op_with_miou,self._loss, self._binary_loss, self._instance_loss,self._global_step]
File "C:\Users\admin.conda\envs\Lanenet\lib\site-packages\tensorflow_core\python\client\session.py", line 956, in run
run_metadata_ptr)
File "C:\Users\admin.conda\envs\Lanenet\lib\site-packages\tensorflow_core\python\client\session.py", line 1180, in _run
feed_dict_tensor, options, run_metadata)
File "C:\Users\admin.conda\envs\Lanenet\lib\site-packages\tensorflow_core\python\client\session.py", line 1359, in _do_run
run_metadata)
File "C:\Users\admin.conda\envs\Lanenet\lib\site-packages\tensorflow_core\python\client\session.py", line 1384, in _do_call
raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.InvalidArgumentError: Input to reshape is a tensor with 470016 values, but the requested shape has 156672
[[{{node Reshape_1}}]]
[[graph_input_node/train_IteratorGetNext_1]]
I have checked input image dimension of all the three folder has 1280x720....please help
The text was updated successfully, but these errors were encountered: