Load Model

Description

Read deep learning network represented in one of the supported formats. Type : polymorphic.

Input parameters

Model Weight : path, binary file contains trained weights.

The following file extensions are expected for models from different frameworks :

• • *.caffemodel (Caffe, http://caffe.berkeleyvision.org/)
  • *.pb (TensorFlow, https://www.tensorflow.org/)
  • *.t7 (Torch, http://torch.ch/)
  • *.weights (Darknet, https://pjreddie.com/darknet/)
  • *.bin (DLDT, https://software.intel.com/openvino-toolkit)
  • *.onnx (ONNX, https://onnx.ai/)

Model Config : path, text file contains network configuration.

It could be a file with the following extensions :

• • *.prototxt (Caffe, http://caffe.berkeleyvision.org/)
  • *.pbtxt (TensorFlow, https://www.tensorflow.org/)
  • *.cfg (Darknet, https://pjreddie.com/darknet/)
  • *.xml (DLDT, https://software.intel.com/openvino-toolkit)

Output parameters

DNN Dst : class

Example

All these exemples are snippets PNG, you can drop these Snippet onto the block diagram and get the depicted code added to your VI (Do not forget to install TIGR library to run it).