3D ResNet Video Classification accelerated by TensorRT

Activity Recognition TensorRT

Perform video classification using 3D ResNets trained on Kinetics-400 dataset and accelerated with TensorRT.

TensorRT Installation

Assuming you have CUDA already installed, go ahead and download TensorRT from here.

Follow instructions of installing the system binaries and python package for tensorrt here.

Python dependencies

Install the necessary python dependencies by running the following command –

pip3 install -r requirements.txt

Clone the repository

This is a straightforward step, however, if you are new to git recommend glancing threw the steps.

First, install git

sudo apt install git

Next, clone the repository

# Using HTTPS
https://github.com/aj-ames/Activity-Recognition-TensorRT.git
# Using SSH
[email protected]:aj-ames/Activity-Recognition-TensorRT.git

Download Pretrained Models

Download models from

 

 

 

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