onnx2tflite
The onnx2tflite project simplifies the conversion of ONNX models to TensorFlow Lite, maintaining high precision and efficiency. It minimizes errors per element to less than 1e-5 compared to ONNX outputs and accelerates model output, achieving speeds 30% faster than other methods. This tool automatically aligns channel formats and supports the deployment of quantized models, including fp16 and uint8. Users can modify input and output layers, add custom operators, and benefit from a straightforward code structure, making it a versatile solution for AI model deployments.
