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48 search results found

Car Finding Lane Lines ⭐ 290

Finding Lane Lines using Python and OpenCV

Pymatch ⭐ 223

Facenet ⭐ 166

FaceNet for face recognition using pytorch

Marketgan ⭐ 78

Implementing a Generative Adversarial Network on the Stock Market

Angiodysplasia Segmentation ⭐ 61

Wining solution and its further development for MICCAI 2017 Endoscopic Vision Challenge Angiodysplasia Detection and Localization

Advanced Lane Detection ⭐ 60

Model for the extraction of lane lines, both curved and straight, from the road. Augmented the lane area, as well added important metrics, such as cars distance from the center of the road. Implemented with OpenCV and python.

Lane Lines Detection Python Opencv ⭐ 56

Lane Lines Detection using Python and OpenCV for self-driving car

Carnd Advanced Lane Lines ⭐ 52

My solution to the Udacity Self-Driving Car Engineer Nanodegree Advanced Lane Lines project.

Advancedlanelines ⭐ 45

Lane identification system for camera based systems.

Lane and obstacle detection for active assistance during driving. Uses windowed sweep for lane detection. Combination of object tracking and YOLO for obstacles. Determines lane change, relative velocity and time to collision

Facerec Bias Bfw ⭐ 40

Source code and notebooks to reproduce experiments and benchmarks on Bias Faces in the Wild (BFW).

Nanslice ⭐ 39

A Python implementation of 'dual-coding'

One Stop For Covid 19 Infection And Lung Segmentation Plus Classification ⭐ 38

✋🏼🛑 This one stop project is a complete COVID-19 detection package comprising of 3 tasks: • Task 1 --> COVID-19 Classification • Task 2 --> COVID-19 Infection Segmentation • Task 3 --> Lung Segmentation

Truck_detection_sentinel2_covid19 ⭐ 37

This repository is designated to detecting trucks using Sentinel-2 data.

Advanced Lane Finding ⭐ 29

Applied computer vision techniques to identify lane lines, vehicle position and radius of curvature from a video stream from a forward-facing camera mounted on the front of a vehicle.

Rectified Gradient ⭐ 26

Official repository for "Why are Saliency Maps Noisy? Cause of and Solution to Noisy Saliency Maps".

Snn Experiments ⭐ 25

Some of my initial studies using spiking neural networks and Python

Ibm Data Science Capstone Alejandra Marquez ⭐ 24

Homemade face mask detector fine-tuning a Yolo-v3 network

Lane Detection With Opencv ⭐ 24

Apply computer vision to label the lanes in a driving video

Scrublet ⭐ 21

Detect doublets in single-cell RNA-seq data

Modeleval ⭐ 17

A simple tool for generating useful evaluation metrics and plots for machine learning models

Outlier Detection Grubbs Test And Generalized Esd Test Python ⭐ 17

Repository for detecting outliers using Grubb's Threshold & Generalized Extreme Studentized Deviate (ESD) Test

Epic Kitchens 100 Hand Object Bboxes ⭐ 17

✋ 🍴 A repo for processing the raw hand object detections to produce releasable pickles + library for using these

Lane Marking Detection ⭐ 14

This is the final project for the Geospatial Vision and Visualization class at Northwestern University. The goal of the project is detecting the lane marking for a small LIDAR point cloud. Therefore, we cannot use a Deep Learning algorithm that learns to identify the lane markings by looking at a vast amount of data. Instead we will need to build a system that is able to identify the marking just by looking at the intensity value within the point cloud.

Pynq Z2 Improc ⭐ 14

IMAGE PROCESSING ON XILINX PYNQ Z2 (CANNY, SOBEL)

Bias In Credit Models ⭐ 13

Examples of unfairness detection for a classification-based credit model

Udacity Advanced Lane Finding Project ⭐ 12

Neuralchatbots Datafiltering ⭐ 11

Filter dialog data with a simple entropy-based method (see ACL paper)

How To Find If An Image Is Bright Or Dark ⭐ 11

Input image is resized to 10x10 pixel, to reduce the computation, Convert it to LAB color space to access the luminous channel which is independent of colors, Normalize pixel values to be in range of 0 - 1. Compare the mean value of pixels with an threshold value.

Environment Perception For Self Driving Cars ⭐ 11

Visual Perception Stack For Self-Driving Cars

Arnaldogunzi_carndadvancedlanefinding ⭐ 10

Advanced Lane Finding - Project 4 on Udacity's self driving car nanodegree

Perchlorate Metagenome 2018 ⭐ 8

Scripts used in the publication Tyler P. Barnum, Israel A. Figueroa, Charlotte I. Carlström, Lauren N. Lucas, Anna L. Engelbrektson, and John D. Coates. (2018) Genome-resolved metagenomics identifies genetic mobility, metabolic interactions, and unexpected diversity in perchlorate-reducing communities.

Cup And Disc Segmentation For Glaucoma Detection Cdr Calculation ⭐ 8

An adaptive threshold based algorithm for optic disc and cup segmentation in fundus images

Chartreader ⭐ 8

Fully automated end-to-end framework to extract data from bar plots and other figures in scientific research papers using modules such as OpenCV, AWS-Rekognition.

Advanced Lane Finding ⭐ 8

Detect lane lines on a road using computer vision techniques

Recommendation_system ⭐ 8

Xccelerate Data Science Bootcamp Collaborative Project: 4 flavours of recommendation systems

Ripa Analysis ⭐ 7

A Los Angeles Times analysis found that LAPD officers search blacks and Latinos far more often than whites during traffic stops even though whites are more likely to be found with illegal items.

Counting Objects ⭐ 7

This project aims to count the retail objects present in the image. It uses OpenCV and Deep Learning models to count the images

Pedestrian Detector Using Cnn And Sliding Window ⭐ 7

Gesture Based Mouse Controller ⭐ 6

A gesture based Mouse controller using openCV and PyMouse

Clustering_superdarn_data ⭐ 6

Classification of SuperDARN backscatter using machine learning algorithms

CS230 Project: In this project, we investigate and evaluate the performance of the state-of-the-art model for instance segmentation, Mask R-CNN, on the newly-released Mapillary dataset, whose images focus specifically on driving scenes. We transfer the learning results from the pre-trained weights, fine tune the final layers for Mapillary Datasets. The result shows a significant improvement in precision measurements from the baseline, and achieves at a surpassing performance than benchmarks.

Dcase19 Rcnn Task4 ⭐ 6

RCNN for the DCASE 2019 sound event detection task

Quora Insincere Questions Classification ⭐ 6

45th Place Solution of the Quora insincere questions classification competition in Kaggle.

Corrosion Detection ⭐ 6

Image processing for automated detection of steel corrosion

Simple Docstrum ⭐ 5

A step-by-step C# implementation of the Docstrum algorithm

User_churn_predictions ⭐ 5

Yolov3_opencv ⭐ 5

YOLO v3 object detection using OpenCV in Python

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