Traceback (most recent call last):
File "/home/XiaoLF/anaconda3/envs/hmr/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 774, in set_shape
unknown_shape)
tensorflow.python.framework.errors_impl.InvalidArgumentError: Dimension 1 in both shapes must be equal, but are 112 and 115. Shapes are [1,112,112,64] and [1,115,115,64].
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "demo.py", line 54, in
model = Model()
File "/home/XiaoLF/hmr2.0-master/src/main/model.py", line 65, in init
self._build_model()
File "/home/XiaoLF/hmr2.0-master/src/main/model.py", line 78, in _build_model
self.generator.build(input_shape=gen_input)
File "/home/XiaoLF/anaconda3/envs/hmr/lib/python3.6/site-packages/keras/engine/training.py", line 413, in build
self.call(x, **kwargs)
File "/home/XiaoLF/hmr2.0-master/src/main/generator.py", line 91, in call
features = self.resnet50V2(inputs, **kwargs)
File "/home/XiaoLF/anaconda3/envs/hmr/lib/python3.6/site-packages/keras/engine/base_layer.py", line 1037, in call
outputs = call_fn(inputs, *args, **kwargs)
File "/home/XiaoLF/anaconda3/envs/hmr/lib/python3.6/site-packages/keras/engine/functional.py", line 415, in call
inputs, training=training, mask=mask)
File "/home/XiaoLF/anaconda3/envs/hmr/lib/python3.6/site-packages/keras/engine/functional.py", line 550, in _run_internal_graph
outputs = node.layer(*args, **kwargs)
File "/home/XiaoLF/anaconda3/envs/hmr/lib/python3.6/site-packages/keras/engine/base_layer.py", line 1037, in call
outputs = call_fn(inputs, *args, **kwargs)
File "/home/XiaoLF/anaconda3/envs/hmr/lib/python3.6/site-packages/keras/layers/convolutional.py", line 273, in call
outputs.set_shape(out_shape)
File "/home/XiaoLF/anaconda3/envs/hmr/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 777, in set_shape
raise ValueError(str(e))
ValueError: Dimension 1 in both shapes must be equal, but are 112 and 115. Shapes are [1,112,112,64] and [1,115,115,64].