Xavier/Deep Learning/TensorRT/Parsing Caffe: Difference between revisions

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=Parsing Caffe model for TensorRT=
{{DISPLAYTITLE:NVIDIA Jetson Xavier - Parsing Caffe model for TensorRT|noerror}}


The process for caffe models are fairly similar to Tensorflow models. The key difference is that you don't need to generate a uff model file. Caffe model file (.caffemodel) can be imported directly from tensorrt.
==Parsing Caffe model for TensorRT==


Loading a caffe model is an actual example provided by NVIDIA with TensorRT naned sample_mnist. For more details on this example please refer to the [[Xavier/Deep_Learning/TensorRT/Building_Examples#C.2B.2B_API|C++ API]] section.
The process for Caffe models is fairly similar to Tensorflow models. The key difference is that you don't need to generate a uff model file. Caffe model file (.caffemodel) can be imported directly from tensorrt.
 
Loading a Caffe model is an actual example provided by NVIDIA with TensorRT named sample_mnist. For more details on this example please refer to the [[Xavier/Deep_Learning/TensorRT/Building_Examples#C.2B.2B_API|C++ API]] section.


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Latest revision as of 17:55, 13 February 2023




Previous: Deep Learning‎/TensorRT/Parsing Tensorflow Index Next: Deep Learning/TensorRT/Building Examples






Parsing Caffe model for TensorRT

The process for Caffe models is fairly similar to Tensorflow models. The key difference is that you don't need to generate a uff model file. Caffe model file (.caffemodel) can be imported directly from tensorrt.

Loading a Caffe model is an actual example provided by NVIDIA with TensorRT named sample_mnist. For more details on this example please refer to the C++ API section.



Previous: Deep Learning‎/TensorRT/Parsing Tensorflow Index Next: Deep Learning/TensorRT/Building Examples