【27届校招】嵌入式camera系统培训生
Tasks
- Accelerate deep learning inference on embedded platforms
- Develop AVM algorithms
- Develop and deploy image processing algorithms
- Ensure brightness consistency processing
- Implement image stitching and fusion
- Integrate and debug AVM perception algorithms with HAL and SDK
- Optimize models using quantization pruning and operator adaptation
- Perform fisheye distortion correction
- Track image and AVM research and apply innovations to cockpit products
- Train and optimize deep learning models
Perks/Benefits
- N/A
Skills/Tech-stack
C# | C++ | Color Space Conversion | Color correction | Color space | Computer Vision | DSP | Deep learning | Edge detection | Embedded Systems | Exposure Compensation | GPU | HDR | Histogram Equalization | Image Processing | Image enhancement | Image stitching | Knowledge Distillation | Model Pruning | Model Quantization | Morphological operations | NPU | Noise Reduction | ONNX | ONNX Runtime | Object Detection | PyTorch | Python | Qualcomm QNN | Qualcomm SNPE | Semantic Segmentation | TensorFlow | TensorFlow Lite
Education
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