Operationalize.ML.NET
tensorflow-onnx
| Operationalize.ML.NET | tensorflow-onnx | |
|---|---|---|
| 1 | 7 | |
| 1 | 2,228 | |
| - | 1.7% | |
| 5.8 | 7.1 | |
| 9 months ago | about 1 month ago | |
| C# | Jupyter Notebook | |
| - | Apache License 2.0 |
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Operationalize.ML.NET
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Operationalize TensorFlow Models With ML.NET
You can find the whole source code at https://github.com/mariusmuntean/Operationalize.ML.NET
tensorflow-onnx
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Operationalize TensorFlow Models With ML.NET
The easiest way to transform the downloaded TensorFlow model to an ONNX model is to use the tool tf2onnx from https://github.com/onnx/tensorflow-onnx
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Which models can be converted to ONNX?
But I found that there are limitation in practice. For instance, I found that the conversion of this model to ONNX fails when using tf2onnx.
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10$ Full Body Tracking! I'm proud to release ToucanTrack (in Beta!). Get decent FBT with the power of 2 PS3 Eye Cameras and AI!
They come in the form of tflite models, so I had to convert them to onnx. I used tf2onnx for converting the pose landmark model and tflite2tensorflow for converting the pose detection model. For improving performance, I had created a small script which modified the landmark models for supporting batch inference. This script is not included in the repository, but do tell me if you need it!
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Auto Annotation using ONNX and YOLOv7 model (Object Detection)
pb to ONNX Follow tensorflow-onnx:- https://github.com/onnx/tensorflow-onnx
- Can you inference a .tflite model file using Pytorch mobile?
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💊Your daily dose of machine learning : converting deep learning models to ONNX format
You can learn more about this tool on their github repo : https://github.com/onnx/tensorflow-onnx
What are some alternatives?
onnx - Open standard for machine learning interoperability
mediapipe - Cross-platform, customizable ML solutions for live and streaming media.
optimizer - Actively maintained ONNX Optimizer
PINTO_model_zoo - A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.
netron - Visualizer for neural network, deep learning and machine learning models
alpha-zero-general - A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
CFU-Playground - Want a faster ML processor? Do it yourself! -- A framework for playing with custom opcodes to accelerate TensorFlow Lite for Microcontrollers (TFLM). . . . . . Online tutorial: https://google.github.io/CFU-Playground/ For reference docs, see the link below.
labml - 🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱
infery-examples - A collection of demo-apps and inference scripts for various deep learning frameworks using infery (Python).
toucan-track - Achieving Full Body Tracking for VRChat using 2 cameras and machine learning.
hand-gesture-recognition-mediapipe - This is a sample program that recognizes hand signs and finger gestures with a simple MLP using the detected key points. Handpose is estimated using MediaPipe.
ailia-models - The collection of pre-trained, state-of-the-art AI models for ailia SDK