Skip to content

lshiwjx/Short-Video-Classification

Repository files navigation

# Requirements

MXNet
TensoRT=5.0
ONNX=

# Usage

mytrain_rcap.py: train mxnet model
myval_multilabel.py: validate mxnet model
plot_curve.py: plot acc curve
model save the model files

mxnet_to_onnx.py: convert mxnet to onnx
onnx_to_trtengine.py: convert onnx to tensorRT engine
int8calibration.py: calibrate onnx model and transform it to in8 tensorRT engine

aic_tensorrt_acap_2s is a example of the docker image construction process


About

fast short video classification with mxnet, tensorrt

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published