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Run activity recognition model
- Pytorch (ONNX): ResNet34
- Pytorch (pre-trained): TSN (colab link)
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Run face recognition model
- Pytorch: MTCNN (face-recogntion)
- Setup Jetson Nano
- Connecting Jetson Nano to WIFI.
- Attaching Raspberry Pi Camera to Jetson Nano.
- NVIDIA DLI course: https://courses.nvidia.com/courses/course-v1:DLI+S-RX-02+V2/about
- Running DL task on the Jetson Nano usin DeepStream.
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Enviroment Setup
- Baseline: https://github.com/kenshohara/3D-ResNets-PyTorch
- Dataset: UCF-101
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Transfer Learning
- Model: 3D ResNets for Action Recognition
- Transfer Learning with UCF-101
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Environment Setup
- Setup: https://docs.nvidia.com/tao/tao-toolkit/text/tao_toolkit_quick_start_guide.html
- Dataset: HMDB51
- Data Preprocessing: https://github.com/NVIDIA-AI-IOT/tao_toolkit_recipes
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Transfer Learning
- Model: 2D ResNet for Action Recognition
- Transfer Learning with TAO for action recognition (link)