vinayrraj Goto Github PK

netcipher

Easy Tor/Proxy Support and more

nn-from-scratch

Implementing a Neural Network from Scratch

ny-subway-weather

object-detection

Object detection on Jetson Nano, Raspberry Pi and Laptop

opencv-python-blueprints

M. Beyeler (2015). OpenCV with Python Blueprints: Design and develop advanced computer vision projects using OpenCV with Python, Packt Publishing Ltd., ISBN 978-178528269-0.

opencv-python-series

An OpenCV & Python Tutorial Series and Reference.

openface

Face recognition with deep neural networks.

openface-1

OpenFace – a state-of-the art tool intended for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation.

orb_slam2

Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities

p1_facial_keypoints

First project for CVND: facial keypoint detection.

p3_implement_slam

Landmark Detection and Tracking (SLAM) project for CVND

pagerslidingtabstrip

An interactive indicator to navigate between the different pages of a ViewPager

pedestrian-detection

Pedestrian detection using the TensorFlow Object Detection API. Includes multi GPU parallel processing inference.

penguin-bit-by-bit

perceptron-algorithm

person-re-identification

Detection, tracking and re-identification of people in a surveillance video to make a list of people that appeared in the video. If people leave the frame and re-appear later in the video, the model recognizes them from before and does not count them multiple times.

pet-monitor

Use Sinch app-to-app calling to monitor and talk to your pet while you're away.

photoview

Implementation of ImageView for Android that supports zooming, by various touch gestures.

photup

photup

plaid

plant-disease-diagnostics-using-uav-and-android-app

Plant diseases causes many significant damages and losses in crops around the world. Some suitable measures on disease identification should be introduced to prevent damages and minimize losses. Early Detection of Disease helps in increasing the crop productivity as well as in minimizing expense. Technical approaches using machine learning and computer vision are actively researched to achieve intelligence farming by early detection on plant disease. The accuracy of object detection and recognition systems has been drastically improved by the recent development in Deep Neural Networks. By using these systems and implementation of computer vision and machine learning techniques, plant diseases can be detected. Here we have used transfer learning based approach to diagnose diseases of different plants using its images captured by camera devices either drone or smartphone. Our goal is to build a market oriented product for Plant Disease Detection, a smartphone app compatible with both smartphone camera and drone camera. The target group of the user is those who request a quick diagnosis on common leaf disease at any time of the day i.e. Farmers, agricultural industries, agricultural consultants and Government Agencies & Departments.

plant-diseases-recognition

CNN classifier for recognizing plant diseases using Keras

plant_disease_recognition

Raspberry Pi based system to detect and recognize plant diseases

plantvillage-dataset

Dataset of diseased plant leaf images and corresponding labels

polaris2

Polaris is a framework enhancing the Google Maps Android API v2. It aims to fix some of the most frustrating bugs of the original library and provide additional features.

ppe-detection-yolo-deep_sort

Real-time PPE detection and tracking using YOLO v3 and deep_sort

project_fletcher

Classifying Airbnb Reviews with Natural Language Processing

project_kojak

Training a Neural Network to Detect Gestures and Control Smart Home Devices with OpenCV in Python

project_luther

Beating the Zillow Zestimate: Predicting King County Home Prices

proximityservice

Android service for turning off the display using the proximity sensor