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fast short video classification with mxnet, tensorrt
This project forked from lshiwjx/short-video-classification
fast short video classification with mxnet, tensorrt
# 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
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