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| |
| This example shows how to extract features with a pretrained model. |
| |
| Execute `run.sh` to: |
| - Download a pretrained model |
| - Download sample pictures (`dog.jpg` and `cat.jpg`) |
| - Compile the files |
| - Execute the featurization on `dog.jpg` and `cat.jpg` |
| |
| |
| Note: |
| 1. The filename of network parameters may vary, line 67 in `feature_extract.cpp` should be updated accordingly. |
| 2. You need to build MXNet from source to get access to the `lib/libmxnet.so` or point `LD_LIBRARY_PATH` to where it is installed in your system |
