models
SSD-Mobilenet-Custom-Object-Detector-Model-using-Tensorflow-2
models | SSD-Mobilenet-Custom-Object-Detector-Model-using-Tensorflow-2 | |
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7 | 1 | |
7,192 | 46 | |
1.4% | - | |
4.8 | 0.0 | |
12 days ago | about 1 year ago | |
Jupyter Notebook | Jupyter Notebook | |
Apache License 2.0 | - |
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models
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AMD Accelerates AI Adoption on Windows 11 With New Developer Tools for Ryzen AI
Uh, maybe they didn't feel the need to look. I already pointed you to the ONNX project. Here are some ONNX-based. These are just the ones being shared with the community. The limit of AMD's responsibility is writing the low-level libraries to support ONNX.
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Need Help With Darknet YOLOv4-Tiny Model In Unity Barracuda
I am new to object detection models and I need help running my object detection Darknet YOLOv4-Tiny Model In Unity Barracuda. I trained my model and then i converted it to ONNX format with 2 methods. One method was using pytorch-YOLOv4 from github and the other by converting my model to tensorflow and then to onnx and shown here: "https://github.com/onnx/models/blob/main/vision/object_detection_segmentation/yolov4/dependencies/Conversion.ipynb"
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Need Help Converting Darknet Yolov4-tiny Model to ONNX
Then i tried to convert it again using another method that i found here "https://github.com/onnx/models/blob/main/vision/object_detection_segmentation/yolov4/dependencies/Conversion.ipynb" in order to convert it from darknet to tensorflow and then to onnx but i didn't have any luck.
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Text generation with GPT-2 in Ruby
Here we use the GPT-2 model distributed by the ONNX official. Download GPT-2-LM-HEAD from the link.
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YOLOv7 object detection in Ruby in 10 minutes
Download pre-trained models from the ONNX Model Zoo
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Has anyone successfully converted an onnx model to tensorflow? Here's the problems I'm having...
Instructions to reproduce the problem: I am trying to convert a proprietary model at work but for now i'll use mobilenetv2-7.onnx to explain/reproduce the issue.
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How to identify identical frames that are not technically duplicates? Ie if I am taking a video of a car, it stops for 1 minute (and within that minute nothing changes visually), and then drives away. How would I remove all but 1 of the frames when it is stopped?
One approach could be run a pre-trained object detector (like one of these) on each frame and then a simple object tracker on top of it (like this).
SSD-Mobilenet-Custom-Object-Detector-Model-using-Tensorflow-2
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How to convert SSD mobilenet to file.tflite
Hello everyone, I follow custom my SSD mobilenet model from this.
What are some alternatives?
netron - Visualizer for neural network, deep learning and machine learning models
TrainYourOwnYOLO - Train a state-of-the-art yolov3 object detector from scratch!
onnx-tensorflow - Tensorflow Backend for ONNX
Face-Mask-Detection - Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras
redisai-examples - RedisAI showcase
models - Models and examples built with TensorFlow
TensorFlow-Examples - TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
TTS - :robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
tensorboard - TensorFlow's Visualization Toolkit
TTS - πΈπ¬ - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
onnxruntime-ruby - Run ONNX models in Ruby
models - A tool for automated migrations for PostgreSQL, SQLite and MySQL.