models
A collection of pre-trained, state-of-the-art models in the ONNX format (by onnx)
ONNX-YOLOv7-Object-Detection
Python scripts performing object detection using the YOLOv7 model in ONNX. (by ibaiGorordo)
| models | ONNX-YOLOv7-Object-Detection | |
|---|---|---|
| 7 | 2 | |
| 7,192 | 182 | |
| 1.4% | - | |
| 4.8 | 0.0 | |
| 12 days ago | about 1 year ago | |
| Jupyter Notebook | Python | |
| Apache License 2.0 | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
models
Posts with mentions or reviews of models.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-05-23.
-
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.
-
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"
-
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.
-
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.
-
YOLOv7 object detection in Ruby in 10 minutes
Download pre-trained models from the ONNX Model Zoo
-
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.
-
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).
ONNX-YOLOv7-Object-Detection
Posts with mentions or reviews of ONNX-YOLOv7-Object-Detection.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-04-18.
-
[D] Extracting the class labels and bounding boxes for objects, from a YOLO7 model after converting to an ONNX model
Finally, I tried to look if someone has done similar work for the ONNX model and I found this repo which links the same repo I am trying to use, and I believe this function is doing exactly what I want to do, but I could not understand what it is doing (I don't understand how it knows exactly where the number of detections is, and where the bounding boxes are and the class labels, etc.) furthermore, I am not sure if removing end2end and the changing the version from 12 to 9 has any effect on the output shape or it has to do with the internal layers.
-
YOLOv7 object detection in Ruby in 10 minutes
git clone https://github.com/ibaiGorordo/ONNX-YOLOv7-Object-Detection.git cd ONNX-YOLOv7-Object-Detection pip install -r requirements.txt
What are some alternatives?
When comparing models and ONNX-YOLOv7-Object-Detection you can also consider the following projects:
SSD-Mobilenet-Custom-Object-Detector-Model-using-Tensorflow-2 - This repository contains the script and process to create custom SSD Mobilenet model for object detection
onnxruntime - ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
netron - Visualizer for neural network, deep learning and machine learning models
onnx-tensorflow - Tensorflow Backend for ONNX
onnxruntime-ruby - Run ONNX models in Ruby
redisai-examples - RedisAI showcase
AS-One - Easy & Modular Computer Vision Detectors and Trackers - Run YOLO-NAS,v8,v7,v6,v5,R,X in under 20 lines of code.
TensorFlow-Examples - TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
blink-morse - Computer vision application to type based on detection of eyes blinking morse code.
tensorboard - TensorFlow's Visualization Toolkit
play-game-with-computer-vision - A simple python bot (powered by computer vision) used to play a game (City Island 5). The bot is able to play the game and collect points without any human intervention.
models vs SSD-Mobilenet-Custom-Object-Detector-Model-using-Tensorflow-2
ONNX-YOLOv7-Object-Detection vs onnxruntime
models vs netron
ONNX-YOLOv7-Object-Detection vs netron
models vs onnx-tensorflow
ONNX-YOLOv7-Object-Detection vs onnxruntime-ruby
models vs redisai-examples
ONNX-YOLOv7-Object-Detection vs AS-One
models vs TensorFlow-Examples
ONNX-YOLOv7-Object-Detection vs blink-morse
models vs tensorboard
ONNX-YOLOv7-Object-Detection vs play-game-with-computer-vision