ILearnDeepLearning.py
yolov5js
ILearnDeepLearning.py | yolov5js | |
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1 | 3 | |
1,314 | 44 | |
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2.6 | 10.0 | |
5 months ago | over 1 year ago | |
Jupyter Notebook | TypeScript | |
MIT License | MIT License |
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ILearnDeepLearning.py
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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.
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?
Deep-Learning-Computer-Vision - My assignment solutions for Stanford’s CS231n (CNNs for Visual Recognition) and Michigan’s EECS 498-007/598-005 (Deep Learning for Computer Vision), version 2020.
yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
machine_learning_complete - A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
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.
Andrew-NG-Notes - This is Andrew NG Coursera Handwritten Notes.
links-detector - 📖 👆🏻 Links Detector makes printed links clickable via your smartphone camera. No need to type a link in, just scan and click on it.
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.
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.
yolov7 - Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors