jrieke / Shape Detection
Licence: mit
🟣 Object detection of abstract shapes with neural networks
Stars: ✭ 170
Labels
Projects that are alternatives of or similar to Shape Detection
Lacmus
Lacmus is a cross-platform application that helps to find people who are lost in the forest using computer vision and neural networks.
Stars: ✭ 142 (-16.47%)
Mutual labels: object-detection, jupyter-notebook, dataset, neural-networks
Deep Learning With Python
Deep learning codes and projects using Python
Stars: ✭ 195 (+14.71%)
Mutual labels: object-detection, jupyter-notebook, neural-networks
Neural Network From Scratch
Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?
Stars: ✭ 230 (+35.29%)
Mutual labels: jupyter-notebook, tutorial, neural-networks
Deep Learning For Hackers
Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)
Stars: ✭ 586 (+244.71%)
Mutual labels: object-detection, jupyter-notebook, neural-networks
Taco
🌮 Trash Annotations in Context Dataset Toolkit
Stars: ✭ 243 (+42.94%)
Mutual labels: object-detection, jupyter-notebook, dataset
Tutorials
AI-related tutorials. Access any of them for free → https://towardsai.net/editorial
Stars: ✭ 204 (+20%)
Mutual labels: jupyter-notebook, tutorial, neural-networks
Pytorch Lesson Zh
pytorch 包教不包会
Stars: ✭ 279 (+64.12%)
Mutual labels: jupyter-notebook, tutorial, neural-networks
Trump Lies
Tutorial: Web scraping in Python with Beautiful Soup
Stars: ✭ 201 (+18.24%)
Mutual labels: jupyter-notebook, dataset, tutorial
Basic reinforcement learning
An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.
Stars: ✭ 826 (+385.88%)
Mutual labels: jupyter-notebook, tutorial, neural-networks
Deep learning projects
Stars: ✭ 28 (-83.53%)
Mutual labels: jupyter-notebook, dataset, neural-networks
Computervision Recipes
Best Practices, code samples, and documentation for Computer Vision.
Stars: ✭ 8,214 (+4731.76%)
Mutual labels: object-detection, jupyter-notebook, tutorial
Getting Things Done With Pytorch
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.
Stars: ✭ 738 (+334.12%)
Mutual labels: object-detection, jupyter-notebook, tutorial
Mish
Official Repsoitory for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]
Stars: ✭ 1,072 (+530.59%)
Mutual labels: object-detection, jupyter-notebook, neural-networks
Mmdetection object detection demo
How to train an object detection model with mmdetection
Stars: ✭ 55 (-67.65%)
Mutual labels: object-detection, jupyter-notebook, tutorial
Anomaly detection tuto
Anomaly detection tutorial on univariate time series with an auto-encoder
Stars: ✭ 144 (-15.29%)
Mutual labels: jupyter-notebook, tutorial
100daysofmlcode
My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge.
Stars: ✭ 146 (-14.12%)
Mutual labels: jupyter-notebook, neural-networks
Autonomousdrivingcookbook
Scenarios, tutorials and demos for Autonomous Driving
Stars: ✭ 1,939 (+1040.59%)
Mutual labels: jupyter-notebook, tutorial
Hands On Machine Learning With Scikit Learn Keras And Tensorflow
Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron
Stars: ✭ 151 (-11.18%)
Mutual labels: jupyter-notebook, neural-networks
Digital video introduction
A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding).
Stars: ✭ 12,184 (+7067.06%)
Mutual labels: jupyter-notebook, tutorial
Ml Workspace
🛠 All-in-one web-based IDE specialized for machine learning and data science.
Stars: ✭ 2,337 (+1274.71%)
Mutual labels: jupyter-notebook, neural-networks
shape-detection
Read my Medium post on this project
Note: Some people reached out and told me that they can't replicate some of the results in this repo. I couldn't find the reason, potentially one of the dependencies changed since I did this project a few years ago. Unfortunately I don't have any notes on which exact setup I used back then. If you find anything, please reach out to me :)
This is an example of object detection with neural networks (implemented with keras). The training images contain abstract geometric shapes and can be easily bootstraped.
The code is split up into several Jupyter notebooks. They increase in complexity:
- Detection of rectangles in numpy arrays: single-rectangle, two-rectangles, multiple-rectangles
- Additional classification between rectangles and triangles: two-rectangles-or-triangles, multiple-rectangles-or-triangles
- Application to more complex images (using convnets): color-multiple-shapes
Requirements: Python 2.7, keras (v1.0.5), theano or tensorflow, numpy, matplotlib, jupyter, pycairo (only for color-multiple-shapes.ipynb)
Note that the project description data, including the texts, logos, images, and/or trademarks,
for each open source project belongs to its rightful owner.
If you wish to add or remove any projects, please contact us at [email protected].