Thank you for providing this repo. When I execute the inference script, I end up with the error ValueError: Dimension 0 in both shapes must be equal, but are 5 and 4 for 'rpn_proposals/cond_1/concat' (op: 'ConcatV2') with input shapes: [?,5], [?,4], [] and with computed input tensors: input[2] = <0>.
Full traceback:
++--++--++--++--++--++--++--++--++--++--++--++--++--++--++--++--++--++--++--++-- /mnt/cirrus/models/RRPN_FPN_Tensorflow Traceback (most recent call last): File "inference.py", line 165, in <module> inference() File "inference.py", line 87, in inference rpn_proposals_boxes, rpn_proposals_scores = rpn.rpn_proposals() # rpn_score shape: [300, ] File "../libs/rpn/build_rpn.py", line 468, in rpn_proposals lambda: (valid_boxes, valid_scores)) File "/mnt/cirrus/venvs/python_27/local/lib/python2.7/site-packages/tensorflow/python/util/deprecation.py", line 289, in new_func return func(*args, **kwargs) File "/mnt/cirrus/venvs/python_27/local/lib/python2.7/site-packages/tensorflow/python/ops/control_flow_ops.py", line 1814, in cond orig_res_t, res_t = context_t.BuildCondBranch(true_fn) File "/mnt/cirrus/venvs/python_27/local/lib/python2.7/site-packages/tensorflow/python/ops/control_flow_ops.py", line 1689, in BuildCondBranch original_result = fn() File "../libs/rpn/build_rpn.py", line 465, in <lambda> self.max_proposals_num), File "../libs/box_utils/boxes_utils.py", line 92, in padd_boxes_with_zeros final_boxes = tf.concat([boxes, zero_boxes], axis=0) File "/mnt/cirrus/venvs/python_27/local/lib/python2.7/site-packages/tensorflow/python/ops/array_ops.py", line 1048, in concat name=name) File "/mnt/cirrus/venvs/python_27/local/lib/python2.7/site-packages/tensorflow/python/ops/gen_array_ops.py", line 495, in _concat_v2 name=name) File "/mnt/cirrus/venvs/python_27/local/lib/python2.7/site-packages/tensorflow/python/framework/op_def_library.py", line 767, in apply_op op_def=op_def) File "/mnt/cirrus/venvs/python_27/local/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 2508, in create_op set_shapes_for_outputs(ret) File "/mnt/cirrus/venvs/python_27/local/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 1873, in set_shapes_for_outputs shapes = shape_func(op) File "/mnt/cirrus/venvs/python_27/local/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 1823, in call_with_requiring return call_cpp_shape_fn(op, require_shape_fn=True) File "/mnt/cirrus/venvs/python_27/local/lib/python2.7/site-packages/tensorflow/python/framework/common_shapes.py", line 610, in call_cpp_shape_fn debug_python_shape_fn, require_shape_fn) File "/mnt/cirrus/venvs/python_27/local/lib/python2.7/site-packages/tensorflow/python/framework/common_shapes.py", line 676, in _call_cpp_shape_fn_impl raise ValueError(err.message) ValueError: Dimension 0 in both shapes must be equal, but are 5 and 4 for 'rpn_proposals/cond_1/concat' (op: 'ConcatV2') with input shapes: [?,5], [?,4], [] and with computed input tensors: input[2] = <0>.
I am running ubuntu 16.04, cuda 8.0.61, python 2.7, and tensorflow 1.2.0
If you could help me out here, that would be greatly appreciated! Thank you in advance.
Hi there,
Thank you for providing this repo. When I execute the inference script, I end up with the error
ValueError: Dimension 0 in both shapes must be equal, but are 5 and 4 for 'rpn_proposals/cond_1/concat' (op: 'ConcatV2') with input shapes: [?,5], [?,4], [] and with computed input tensors: input[2] = <0>.Full traceback:
++--++--++--++--++--++--++--++--++--++--++--++--++--++--++--++--++--++--++--++-- /mnt/cirrus/models/RRPN_FPN_Tensorflow Traceback (most recent call last): File "inference.py", line 165, in <module> inference() File "inference.py", line 87, in inference rpn_proposals_boxes, rpn_proposals_scores = rpn.rpn_proposals() # rpn_score shape: [300, ] File "../libs/rpn/build_rpn.py", line 468, in rpn_proposals lambda: (valid_boxes, valid_scores)) File "/mnt/cirrus/venvs/python_27/local/lib/python2.7/site-packages/tensorflow/python/util/deprecation.py", line 289, in new_func return func(*args, **kwargs) File "/mnt/cirrus/venvs/python_27/local/lib/python2.7/site-packages/tensorflow/python/ops/control_flow_ops.py", line 1814, in cond orig_res_t, res_t = context_t.BuildCondBranch(true_fn) File "/mnt/cirrus/venvs/python_27/local/lib/python2.7/site-packages/tensorflow/python/ops/control_flow_ops.py", line 1689, in BuildCondBranch original_result = fn() File "../libs/rpn/build_rpn.py", line 465, in <lambda> self.max_proposals_num), File "../libs/box_utils/boxes_utils.py", line 92, in padd_boxes_with_zeros final_boxes = tf.concat([boxes, zero_boxes], axis=0) File "/mnt/cirrus/venvs/python_27/local/lib/python2.7/site-packages/tensorflow/python/ops/array_ops.py", line 1048, in concat name=name) File "/mnt/cirrus/venvs/python_27/local/lib/python2.7/site-packages/tensorflow/python/ops/gen_array_ops.py", line 495, in _concat_v2 name=name) File "/mnt/cirrus/venvs/python_27/local/lib/python2.7/site-packages/tensorflow/python/framework/op_def_library.py", line 767, in apply_op op_def=op_def) File "/mnt/cirrus/venvs/python_27/local/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 2508, in create_op set_shapes_for_outputs(ret) File "/mnt/cirrus/venvs/python_27/local/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 1873, in set_shapes_for_outputs shapes = shape_func(op) File "/mnt/cirrus/venvs/python_27/local/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 1823, in call_with_requiring return call_cpp_shape_fn(op, require_shape_fn=True) File "/mnt/cirrus/venvs/python_27/local/lib/python2.7/site-packages/tensorflow/python/framework/common_shapes.py", line 610, in call_cpp_shape_fn debug_python_shape_fn, require_shape_fn) File "/mnt/cirrus/venvs/python_27/local/lib/python2.7/site-packages/tensorflow/python/framework/common_shapes.py", line 676, in _call_cpp_shape_fn_impl raise ValueError(err.message) ValueError: Dimension 0 in both shapes must be equal, but are 5 and 4 for 'rpn_proposals/cond_1/concat' (op: 'ConcatV2') with input shapes: [?,5], [?,4], [] and with computed input tensors: input[2] = <0>.I am running ubuntu 16.04, cuda 8.0.61, python 2.7, and tensorflow 1.2.0
If you could help me out here, that would be greatly appreciated! Thank you in advance.