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Convert to tflite, the output is "StatefulPartitionedCall:0" or "PartitionedCall:0" #11743
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👋 Hello @alps-sun, thank you for your interest in YOLOv5 🚀! Please visit our ⭐️ Tutorials to get started, where you can find quickstart guides for simple tasks like Custom Data Training all the way to advanced concepts like Hyperparameter Evolution. If this is a 🐛 Bug Report, please provide a minimum reproducible example to help us debug it. If this is a custom training ❓ Question, please provide as much information as possible, including dataset image examples and training logs, and verify you are following our Tips for Best Training Results. RequirementsPython>=3.7.0 with all requirements.txt installed including PyTorch>=1.7. To get started: git clone https://github.com/ultralytics/yolov5 # clone
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StatusIf this badge is green, all YOLOv5 GitHub Actions Continuous Integration (CI) tests are currently passing. CI tests verify correct operation of YOLOv5 training, validation, inference, export and benchmarks on macOS, Windows, and Ubuntu every 24 hours and on every commit. Introducing YOLOv8 🚀We're excited to announce the launch of our latest state-of-the-art (SOTA) object detection model for 2023 - YOLOv8 🚀! Designed to be fast, accurate, and easy to use, YOLOv8 is an ideal choice for a wide range of object detection, image segmentation and image classification tasks. With YOLOv8, you'll be able to quickly and accurately detect objects in real-time, streamline your workflows, and achieve new levels of accuracy in your projects. Check out our YOLOv8 Docs for details and get started with: pip install ultralytics |
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@alps-sun thanks for using YOLOv5! 👍 Regarding the issue you mentioned, the output layer of the converted tflite model is "StatefulPartitionedCall:0" or "PartitionedCall:0". This is expected behavior when exporting a model using our export script. To use the exported tflite model in Rust, you may need to update your code accordingly. Please refer to the TensorFlow Lite documentation or Rust TensorFlow Lite bindings for guidance on how to correctly load and run the model. If you encounter any difficulties or have further questions, feel free to ask for assistance. We're here to help! And thank you for your support! 🙌 |
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When I execute
I got the tfltie model and use Netron Viewer to view the exported model.
The output layer of the model is "StatefulPartitionedCall:0" or "PartitionedCall:0",
When using rust to import the tfllite model, the output result cannot be obtained, what should I do?
thank you !
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