The LEIP Run tool is provided to run a single inference against a model in a consistent way across several stages of the LEIP tool chain. It allows an inference in TensorFlow, TFLite, PyTorch, and LRE runtimes.
You can use the
leip run command to run inference on a single sample through the specified model. Please run
leip run --help command to obtain the full list of supported options.
The classnames file is the list of strings describing the names of the output classes. The first one in the file is 0, the next is 1, etc.
The classnames files are specified as follows:
A text file, typically ending in
.txtbut not required, containing a list of human readable class names.
The name corresponds to the line number it appears on the file, zero-indexed.
The basic command is:
# Use the run command to run a single inference test leip run --input_path workspace/models/inceptionv3/keras-open-images-10-classes/ \ --test_path workspace/datasets/open-images-10-classes/eval/Apple/0ef341dfb802eff1.jpg \ --class_names workspace/datasets/open-images-10-classes/eval/class_names.txt
For a detailed explanation of each option, refer to the CLI Reference for LEIP Run.