I changed a Faster RCNN model with a Googlenet feature extractor (trained with Caffe) in TensorRT 4, I got the following error:
ERROR: inception_5a/output: all concat input tensors must have the same dimensions except on the concatenation axis
RPROIFused outputs a blob, and the blob is passed to an inception modele (inception_5a/), then inception_5a/output concatenates four tensors from the module in the architecture.
- How to solve the error above ?
- How can I get the dimension of output blob from RPROIFused ?
- Is it possible to print input/ output dimensions of blobs in each layer when building a TensorRT network ?
The following link contains the model and prototxt I used: