Skills

Configure and Code Nvidia Jetson Nano

I can configure your Nvidia Jetson device series (Nano, Xavier, Orin, etc.) for various scenarios. All you need to do is provide me with SSH or GUI (in some cases), remote access to your device, and the requirements.

Prepare the device for edge AI:

    • Install OpenCV with Cuda Support
    • Install Deepstream
    • Install PyTorch and TorchVision with Cuda Support
    • Install YOLO (up to version 8.1, whichever is supported)
    • ONNX GPU

Other use cases:

    • Install TensorFlow with GPU Support
    • Process the RTSP stream for specific use cases.
    • Configure Intel’s pyrealsense (RealSense SDK)
    • Build and test Ultimate ALPR for your SOC.
    • Help you install some specific library or package
    • Assist you in upgrading your Jetpack version (flashing may sometimes be required).
    • Build custom models for Doubango’s ultimate ALPR and provide sample usage codes.

Image Classification:

    • Collected and labelled my images.
    • Enhanced classification models by varying data backgrounds and orientations.
    • Trained a classification model.
    • Ran inference on a live camera feed with the classification model.

Image Regression:

    • Localized features using regression models.
    • Collected annotated data.
    • Trained a regression model.
    • Ran inference on a live camera feed with the regression model.
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