nikhilbv

AI-Basketball-Shot-Detection-Tracker

Machine learning and computer vision to detect and analyze basketball shots in real-time (2023)

handcalcs

Python library for converting Python calculations into rendered latex.

Illegal_Parking

Using AI based approach to detect illegal parking of vehicles (Cars) from an image. The model will receive an image of parked car through the user of the app , then it will try to predict the status of parking based on the background details (Traffic Signs , Crowded (market) area, Open field, Traffic , On road , number of side cars etc. ). It will do the prediction for each car that is present in the image.

Obstacle-and-Lane-Detection-using-Computer-Vision

Applied YOLO model trained on COCO dataset to detect obstacles and Lane-Net model trained on tusimple.ai dataset for end-to-end lane detection. • Improved usability and response time by 50% using the combination and optimization of legacy codes of algorithms in assisted driving.

birds-eye-view

Obtain bird's eye view of a scene from a single input image

Ultra-Fast-Lane-Detection

Ultra Fast Structure-aware Deep Lane Detection (ECCV 2020)

LaneDatasetInspector

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

3D-Deepbox

3D Bounding Box Estimation Using Deep Learning and Geometry (MultiBin)

data-science-interviews

Data science interview questions and answers

intersection_detection

Elementary experiment with deep learning. Identify if a frame denotes a road intersection or not.

pytorch-lanenet

LaneNet implementation in PyTorch

state-of-the-art-result-for-machine-learning-problems

This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.

Deep-Learning-in-Production

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

lanenet

Implemention of lanenet model for real time lane detection using deep neural network model https://maybeshewill-cv.github.io/lanenet-lane-detection/

RoadDamageDetector

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

awesome-lane-detection

A paper list of lane detection.

Data-Science--Cheat-Sheet

Cheat Sheets

dl-docker

An all-in-one Docker image for deep learning. Contains all the popular DL frameworks (TensorFlow, Theano, Torch, Caffe, etc.)

LensCalibrator

Convert coordinates in a picture to the real world based on multiple reference points in the picture.

Easy-Ipm-Client

An easy, interface friendly cross-platform client to generate bird's view images using inverse perspective mapping methods proposed in paper "Adaptive Inverse Perspective Mapping for Lane Map Generation with SLAM"

LaneNetRos

Ros node to use LaneNet to detect the lane in camera

cityscapesScripts

README and scripts for the Cityscapes Dataset

repo2docker

Turn repositories into Jupyter-enabled Docker images

gputil

A Python module for getting the GPU status from NVIDA GPUs using nvidia-smi programmically in Python

LaneDetection_End2End

End-to-end Lane Detection for Self-Driving Cars (ICCV 2019 Workshop)

homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

awesome-interview-questions

:octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board: