benakpatel Goto Github PK
Type: User
Type: User
this project rfid tag is given to every user and accordingly his attendance is taken.
Computer Vision Basics in Microsoft Excel (using just formulas)
Data Augmentation For Object Detection
This is Digital Soup site.
Fluxion is a remake of linset by vk496 with less bugs and enhanced functionality.
just another repository
this project was done on even semester 2018-19
A Jekyll version of the "Prologue" theme by HTML5 UP
refer the procedure to install jupyter notebook on raspberry pi3
JupyterLab computational environment.
Website for Benak Patel
:metal: LabelImg is a graphical image annotation tool and label object bounding boxes in images
this application is built to ease the process of data entry after evaluation. This application also uploads data entered by the students to firebase realtime database and can be exported in JSON format and later can be manipulated.
Models and examples built with TensorFlow
In this project traffic vehicle count is calculated with the help of opencv and the data consisting of Rightlane and leftlane is uploaded on to firebase and same is reflected in the mit android app [but few minor corrections are required] i.e., some random variable is generated and inside of it we are getting the right lane and left lane traffic vehicle count value.
The HTML Presentation Framework
usingNEMAsteppermotornema34 set to 200 rpm using dip switches and in program also its set to 200. rhino driver is used and wave drive signals are passed from Uno to DIR+ DIR- PUL+ & PUL- of Rhino. SMPS is used to powerup the circuit.
in this project depending upon the position of the switch nema stepper motor is rotated in clkwise and anticlkwise direction.Arduino uno supplies signals to DIR+, DIR-, PUL+ & PUL-. rhino driver (which is adjusted to 200 RPM using dip switches and back in the program also its is set to 200) and smps is used to powerup the circuit.
How to train a TensorFlow Object Detection Classifier for multiple object detection on Windows
The purpose of this tutorial is to learn how to install and prepare TensorFlow framework to train your own convolutional neural network object detection classifier for multiple objects, starting from scratch
In this project traffic vehicle count is calculated with the help of opencv and the data consisting of Rightlane and leftlane is uploaded on to firebase and same is reflected in the mit android app[but few minor changes are required as .json format assigns RHlane and LHlane values to some random values]
How To Train an Object Detection Classifier for Multiple Objects Using TensorFlow (GPU) on Windows 10
Rewrite of the popular wireless network auditor, "wifite"
This is the code for "YOLO Object Detection" by Siraj Raval on Youtube
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.