hand-gesture-recognition-mediapipe
tensorflow-onnx
| hand-gesture-recognition-mediapipe | tensorflow-onnx | |
|---|---|---|
| 1 | 7 | |
| 421 | 2,221 | |
| - | 1.3% | |
| 0.0 | 7.1 | |
| about 2 months ago | 21 days ago | |
| Jupyter Notebook | Jupyter Notebook | |
| Apache License 2.0 | Apache License 2.0 |
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hand-gesture-recognition-mediapipe
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Looking for help with a python project!
I am new to machinelearning , openCV and Mediapipe programming with python and I need help with a project , about Hand-gesture-recognition related to this git-hub repo: https://github.com/kinivi/hand-gesture-recognition-mediapipe , I want to ask some questions , that the docuntation does not explain clearly enough for me. I have modified the .py files a bit , in order to train the model in new stationary hand gestures (keypoint_classification) , but I need help with moving gestures (point_history_classification). Any help would be much appreciated. Thank you in advance!!!
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?
TFLiteDetection - TensorFlow Lite Object Detection Python Implementation
mediapipe - Cross-platform, customizable ML solutions for live and streaming media.
infery-examples - A collection of demo-apps and inference scripts for various deep learning frameworks using infery (Python).
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.
deepbacksub - Virtual Video Device for Background Replacement with Deep Semantic Segmentation
alpha-zero-general - A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
keras_cv_stable_diffusion_to_tflite - Scripts for converting Keras CV Stable Diffusion to tflite
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.
TFLiteClassification - TensorFlow Lite Image Classification Python Implementation
labml - 🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱
toucan-track - Achieving Full Body Tracking for VRChat using 2 cameras and machine learning.