ict3104-team05-2022

Team Members

• Eddie Tan (2002226)
• Nicholas Bingei (2002983)
• Ter Kai Siang (2001476)
• Jessica Tan Guang Hui (2002253)
• Muhammad Muhaimin Bin Mohd Ikhsan (2002950)
• Jimeno Johanna Charissa Mortel (2002171)

HOI Hub

This project is currently preloaded with these models:

• Toyota Smarthome (TSU) project
• I3D Feature Extraction
• TSU evaluation
• Nvidia STEP: Spatio-Temporal Progressive Learning for Video Action Detection
• MS-TCT: Multi-Scale Temporal ConvTransformer for Action Detection
• Pytorch I3D models trained on Kinetics

Installation for windows

Ensure that you have the following installed:

• Anaconda
• Create a virtual environment in conda using the following command:

 conda env create -f env.yml

• Activate the virtual environment using the following command:

 conda activate ict3104

• Create and activate a virtualenv

pip install virtualenv
python -m venv venv
venv\Scripts\activate

• Install the following packages using pip:

pip install --no-cache-dir -f https://download.pytorch.org/whl/torch_stable.html -r requirements.txt

• Run the following command to start the juypter notebook:

jupyter notebook

Installation for Linux

Ensure that you have the following installed:

• Anaconda
• Create a virtual environment in conda using the following command:

 conda env create -f env_linux.yml

• Activate the virtual environment and install torch using the following command:

 conda activate ict3104
 conda install pytorch=1.11.0 torchvision=0.12.0 torchaudio=0.11.0 cudatoolkit=11.3 -c pytorch -c nvidia

• Create and activate a virtualenv

pip install virtualenv
python -m venv venv
source venv/bin/activate

• Install the following packages using pip:

pip install -r requirements_linux.txt
pip install torch==1.11.0+cu113 torchvision==0.12.0+cu113 torchaudio==0.11.0 --extra-index-url https://download.pytorch.org/whl/cu113

• Run the following command to start the juypter notebook:

jupyter notebook

Dataset & Video

Place all your dataset folder into data/dataset/ folder Place all your video into data/video/ folder

Environment File for Wandb

• Create a .env in the project root directory
• Append the following to the .env file:

WANDB_API_KEY=<your_wandb_api_key>