Description:

trtutils 0.1.1

trtutils







Utilities for enabling easier high-level usage of TensorRT in Python.
TRTEngine
The TRTEngine is a high-level abstraction allowing easy use of TensorRT
engines through Python. Once an engine is built, it is simple and easy to use:
from trtutils import TRTEngine

engine = TRTEngine("path_to_engine")

inputs = read_your_data()

for i in inputs:
print(engine.execute(i))

We also provide an abstraction for defining higher-level models.
The TRTModel is designed to allow a user to define a pre and post
processing step along with the engine to create an end-to-end
inference object.
from trtutils import TRTModel

# scale some images down
def pre(inputs):
return [i / 255 for i in inputs]

# access the output classes from object detection
def post(outputs):
return [o[0][0] for o in outputs]

model = TRTModel("path_to_engine", pre, post)

inputs = read_your_data()

for i in inputs:
print(model(i))

License

For personal and professional use. You cannot resell or redistribute these repositories in their original state.

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