onnx-tensorflow
yolo-tf2
| onnx-tensorflow | yolo-tf2 | |
|---|---|---|
| 6 | 1 | |
| 1,237 | 747 | |
| 0.6% | - | |
| 0.0 | 7.6 | |
| about 1 month ago | almost 2 years ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | MIT License |
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onnx-tensorflow
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How to Solve "BackendIsNotSupposedToImplementIt: Unsqueeze version 13 is not implemented."?
How to solve this? I found below github issue which they solved i think, but im not to able to find the solution https://github.com/onnx/onnx-tensorflow/pull/1022
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[D] Library to transfer PyTorch to TF
Okay, maybe it worked some years ago. The issue currently is that the trainable weights get lost...which is by design https://github.com/onnx/onnx-tensorflow/issues/1002
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Has anyone successfully converted an onnx model to tensorflow? Here's the problems I'm having...
TLDR: I'm using onnx-tf to convert an onnx model to tensorflow. During the conversion I lose important information such as inputs, outputs and the names of operators. Please read on if you have experience with this library or you've experienced similar issues. :)
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Portability of Rust in 2021
We had a few small issues with ONNX. Export worked but when running with e.g. tflite stumbled for example across this https://github.com/onnx/onnx-tensorflow/issues/853 Also the support for sampling from distributions is generally still pretty weak, but we were able to work around that.
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[D] How to reduce latency of DL models
https://pytorch.org/tutorials/advanced/super\_resolution\_with\_onnxruntime.html https://github.com/onnx/onnx-tensorflow
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Possible to retrain onnx model?
https://github.com/onnx/onnx-tensorflow Haven’t tried it, let me know if it works.
yolo-tf2
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How to write a resume for python / ML jobs?
my most useful project is yolo object detector implementation in tf2 and I'm currently working on 2 other projects, one of which is the implementation of various drl algorithms in tf and the other project will be based on the latter and it's concerned with trading. The rest are more of scripts rather than projects ex: web scraping, file management, programming challenges ...
What are some alternatives?
onnxruntime - ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Deep-SORT-YOLOv4 - People detection and optional tracking with Tensorflow backend.
netron - Visualizer for neural network, deep learning and machine learning models
Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning - My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison between state-of-the-art Object Detection algorithms YOLO and Faster R-CNN based on the Berkeley DeepDrive (BDD100K) Dataset.
tokenizers - 💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
Beginner-Traffic-Light-Detection-OpenCV-YOLOv3 - This is a python program using YOLO and OpenCV to detect traffic lights. Works in The Netherlands, possibly other countries
guesslang - Detect the programming language of a source code
deepsparse - Sparsity-aware deep learning inference runtime for CPUs
models - Models and examples built with TensorFlow
yolor - implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)
pytorch2keras - PyTorch to Keras model convertor
FastMOT - High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀