links-detector
yolov5js
| links-detector | yolov5js | |
|---|---|---|
| 3 | 3 | |
| 184 | 44 | |
| - | - | |
| 0.0 | 10.0 | |
| over 1 year ago | over 1 year ago | |
| TypeScript | TypeScript | |
| MIT License | MIT License |
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.
links-detector
- Training a Printed Links Detector Using TensorFlow 2 Object Detection API
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📖 👆🏻 Making the Printed Links Clickable Using TensorFlow 2 Object Detection API
In case if Python code blocks in this article will lack proper formatting on this platform feel free to to read the article on GitHub
yolov5js
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Football Players Tracking with YOLOv5 + ByteTRACK Tutorial
I love this! TF.js is big! And to answer your question - sure, we can run that model in the browser. This is the YOLOv5 model it can be converted from PyTorch to TF.js with this script: https://github.com/ultralytics/yolov5/blob/master/export.py And then run it with my NPM package https://github.com/SkalskiP/yolov5js. ML in Java Script is the future! The problem is I don't know anything about any good tracker implemented in JS.
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Use YOLOv5 tensorflow.js models to speed up annotation
makesense.ia is certainly the largest one. I just recently started https://github.com/SkalskiP/yolov5js with the aim to make it much easier for frontend developers without computer vision background to use object detection in their projects. Apart from that, I have https://github.com/SkalskiP/ILearnDeepLearning.py which is a repository containing examples related to my blog posts on Medium https://medium.com/@piotr.skalski92.
By the way, I have created an NPM package, which can also make it easier for you to deploy YOLOv5 in the browser. https://github.com/SkalskiP/yolov5js
What are some alternatives?
nsfw-filter - A free, open source, and privacy-focused browser extension to block “not safe for work” content built using TypeScript and TensorFlow.js.
yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
labelImg - LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source data labeling tool for images, text, hypertext, audio, video and time-series data.
TensorFlowTTS-ts - This project implements TensorflowTTS in Tensorflow.js using Typescript, enabling real-time text-to-speech in the browser. With pre-trained model for English language, you can generate high-quality speech from text input.
awesome-public-datasets - A topic-centric list of HQ open datasets.
ILearnDeepLearning.py - This repository contains small projects related to Neural Networks and Deep Learning in general. Subjects are closely linekd with articles I publish on Medium. I encourage you both to read as well as to check how the code works in the action.
ailab - Experience, Learn and Code the latest breakthrough innovations with Microsoft AI
notebooks - Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.
breach-protocol-autosolver - Solve breach protocol minigame in second(s). Windows/Linux/GeForce Now/Google Stadia. Every language.
IDP - IDP is an open source AI IDE for data scientists and big data engineers.
tfjs - A WebGL accelerated JavaScript library for training and deploying ML models.