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Fisheye RealView Multitask Vision 1.0
Key Facts
- System requirements - RTX 2060 GPU or Orin Nano - RAM Footprint: 2 GB - ROM Footprint: 100 MB
- Software requirements - Linux / QNX - PyTorch 2.1 C++ libraries - CUDA 11.8 or more Available as ROS node
- Synthetic training system available for more than 5000 km of driving - Based on unreal engine with realistic scene generation - Supports OEM custom training scenarios Additional real-world training scenarios planned
Categories
- Embedded Vision
New
Key Facts
- System requirements - RTX 2060 GPU or Orin Nano - RAM Footprint: 2 GB - ROM Footprint: 100 MB
- Software requirements - Linux / QNX - PyTorch 2.1 C++ libraries - CUDA 11.8 or more Available as ROS node
- Synthetic training system available for more than 5000 km of driving - Based on unreal engine with realistic scene generation - Supports OEM custom training scenarios Additional real-world training scenarios planned
Product information
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