Convert PaddleOCR models to ONNX format
Display and submit LLM benchmarks
Download a TriplaneGaussian model checkpoint
Evaluate model predictions with TruLens
Display leaderboard of language model evaluations
Explore and manage STM32 ML models with the STM32AI Model Zoo dashboard
Evaluate AI-generated results for accuracy
Create and manage ML pipelines with ZenML Dashboard
Explore and visualize diverse models
Measure execution times of BERT models using WebGPU and WASM
Open Persian LLM Leaderboard
Benchmark LLMs in accuracy and translation across languages
View and submit language model evaluations
PaddleOCRModelConverter is a tool designed to convert PaddleOCR models into the ONNX format. ONNX (Open Neural Network Exchange) is an open standard that allows models to be transferred between different frameworks and platforms, enabling better interoperability and performance optimization. This tool is particularly useful for users who want to deploy PaddleOCR models in environments that support ONNX, such as.TensorRT, Core ML, or Edge Inference Engines.
• Model Conversion: Converts PaddleOCR models to ONNX format for cross-platform compatibility.
• Optimized Inference: Supports optimization of models for inference, ensuring faster and more efficient deployment.
• Framework Compatibility: Facilitates deployment across multiple ML frameworks and platforms.
• Command-Line Interface: Provides an easy-to-use command-line tool for model conversion.
• Cross-Platform Support: Enables deployment on diverse operating systems and hardware configurations.
paddle_ocr_model_converter --input_model path/to/model --output_path path/to/output
What models are supported by PaddleOCRModelConverter?
PaddleOCRModelConverter supports all standard PaddleOCR models, including but not limited to CRNN, Transformer, and PFAN models.
Why should I convert my PaddleOCR model to ONNX?
Converting to ONNX enables deployment in ONNX-compatible frameworks and platforms, which can improve inference performance and provide better interoperability.
Are there any specific dependencies required for the conversion?
Yes, ensure you have the latest versions of PaddlePaddle and ONNX runtime installed in your environment for smooth conversion and inference.