【27届校招】嵌入式camera系统培训生
Tasks
- Accelerate deep learning inference on embedded platforms
- Build image stitching and fusion
- Deploy image processing models
- Develop AVM algorithms
- Develop image processing algorithms
- Drive innovative algorithm rollout in cockpit products
- Ensure brightness consistency processing
- Implement perspective transformation
- Integrate and debug AVM and perception algorithms
- Optimize models with quantization pruning and operator adaptation
- Optimize real time performance and stability
- Perform fisheye distortion correction
- Track and apply image AVM and deep learning CV research
Perks/Benefits
- N/A
Skills/Tech-stack
Brightness Consistency | C# | C++ | Color correction | Computer Vision | DSP | Deep learning | Distortion Correction | Exposure Compensation | Fisheye Distortion Correction | GPU | HDR | Image Processing | Image denoising | Image enhancement | Image stitching | Knowledge Distillation | Model Deployment | Model Optimization | Model Pruning | Model Quantization | NPU | ONNX | ONNX Runtime | Object Detection | Perspective transformation | PyTorch | Python | Qualcomm QNN | Qualcomm SNPE | Real Time | Real-time Systems | Semantic Segmentation | TensorFlow | TensorFlow Lite | Time Systems
Education
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