MaskRcnn_tensorflow_cpp_inference
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How to adjust parameters for resnet101 backbone ?
Hi,
thank you for the great work,
I am trying out this project under linux, I am trying to make the ballon detector run in C++,
I compiled the code without errors but when I run the code I encounter the following problem ,
Assertion `dimensions_match(m_leftImpl.dimensions(), m_rightImpl.dimensions())' failed.
Aborted
I think I am missing some parameter adjustment for my use case, my configuration is the one in balloon.py of maskrcnn example. Do you know how can I overcome this ?
@jediofgever i am sorry ,it's my negligence that i ignored some details.Some guys has met same problem with you.the error may be caused by the difference between input of model and size of image ,which i dont described clearly in that code.but i am ouside at now time,I will find a time to explain clearly,could you provide more error details such as the input or config of your network and the size of image when you inferenced the model?