kp-algomaster Goto Github PK
Name: Algomaster
Type: User
Location: Mumbai, India
Name: Algomaster
Type: User
Location: Mumbai, India
HI everyone
Some examples for the use of boost::python
Detectron2 is FAIR's next-generation research platform for object detection and segmentation.
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
An AI for Music Generation
A very basic LSTM composer, doesn't compose any proper music for now
Android SDK for Salesforce
Anno-Mage: A Semi Automatic Image Annotation Tool which helps you in annotating images by suggesting you annotations for 80 object classes using a pre-trained model
A deep learning AI for generating music
3D reconstruction from Monocular vision
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow
As explained in YOLOX paper published by Zheng GE and Team, they have switched the YOLO detector to an anchor-free manner and conduct other advanced detection techniques, i.e., a decoupled head and the leading label assignment strategy SimOTA to achieve state-of-the-art results across a large scale range of models. They have won the 1st Place on Streaming Perception Challenge (Workshop on Autonomous Driving at CVPR 2021) using a single YOLOX-L model. Megvii researchers have cleverly integrated and combined outstanding progress in the field of object detection such as decoupling, data enhancement, anchorless and label classification with YOLO, and proposed YOLOX, which not only achieves AP that surpasses YOLOv3, YOLOv4 and YOLOv5 , but also achieved a very competitive reasoning speed. As this is very recent development in YOLO Series; one may face some issues while adapting this model on their custom dataset. In this post, we will walk through how you can train YOLOX to recognize object detection on your custom image Dataset.
YoloX Model training on RDDC2020 Dataset
Megvii researchers have cleverly integrated and combined outstanding progress in the field of object detection such as decoupling, data enhancement, anchorless and label classification with YOLO, and proposed YOLOX, which not only achieves AP that surpasses YOLOv3, YOLOv4 and YOLOv5 , but also achieved a very competitive reasoning speed. As this is very recent development in YOLO Series; one may face some issues while adapting this model on their custom dataset. In this post, we will walk through how you can train YOLOX to recognize object detection on your custom image Dataset.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.