Rizwanali324

Rizwanali324's Stars

• lyrgwlr/Human-tracking-multicam

  A method can tracking peoples among mult-cameras

  Language:Python193

• SurajDonthi/Multi-Camera-Person-Re-Identification

  State-of-the-art model for person re-identification in Multi-camera Multi-Target Tracking. Benchmarked on Market-1501 and DukeMTMTC-reID datasets.

  Language:Python20136

• SoccerNet/sn-gamestate

  [CVPRW'24] SoccerNet Game State Reconstruction: End-to-End Athlete Tracking and Identification on a Minimap (CVPR24 - CVSports workshop)

  Language:Python25350

• luxonis/datadreamer

  Creation of annotated datasets from scratch using Generative AI and Foundation Computer Vision models

  Language:Python1045

• sharmaji27/face-recognition-based-attendance-system

  Language:Python8860

• ranaroussi/yfinance

  Download market data from Yahoo! Finance's API

  Language:Python15.2k2.5k

• LeadingIndiaAI/-IMAGE-TO-SPEECH-CONVERTOR-

  The aim of the project was to convert an image to speech. An image is processed and segmented to identify the text in the image. Then the characters are combined to form words and save it as a text file. This text file is converted to speech. We use two tools for the completion of image to text to speech conversion. They are OCR (Optical Character Recognition) and TTS (Text to Speech) engines. Using OCR, we can optically recognize the characters in an image. TTS is used to convert the text file to speech. The audio output can be heard by using a python library Pygame for playing the audio at runtime

  Language:Python125

• lllyasviel/ControlNet-v1-1-nightly

  Nightly release of ControlNet 1.1

  Language:Python4.8k382

• FoundationVision/GLEE

  [CVPR2024 Highlight]GLEE: General Object Foundation Model for Images and Videos at Scale

  Language:Python1.1k86

• Aradhye2002/EcoDepth

  [CVPR'2024] Official implementation of the paper "ECoDepth: Effective Conditioning of Diffusion Models for Monocular Depth Estimation"

  Language:Jupyter Notebook17315

• meta-llama/llama3

  The official Meta Llama 3 GitHub site

  Language:Python27.7k3.2k

• LeonLok/Multi-Camera-Live-Object-Tracking

  Multi-camera live traffic and object counting with YOLO v4, Deep SORT, and Flask.

  Language:Python988285

• skforecast/skforecast

  Time series forecasting with machine learning models

  Language:Python1.2k142

• UX-Decoder/Segment-Everything-Everywhere-All-At-Once

  [NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"

  Language:Python4.4k412

• hpcaitech/Open-Sora

  Open-Sora: Democratizing Efficient Video Production for All

  Language:Python22.9k2.3k

• hkchengrex/Tracking-Anything-with-DEVA

  [ICCV 2023] Tracking Anything with Decoupled Video Segmentation

  Language:Python1.3k127

• WongKinYiu/yolor

  implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)

  Language:Python2k514

• GaParmar/img2img-turbo

  One-step image-to-image with Stable Diffusion turbo: sketch2image, day2night, and more

  Language:Python1.8k200

• IDEA-Research/T-Rex

  [ECCV2024] API code for T-Rex2: Towards Generic Object Detection via Text-Visual Prompt Synergy

  Language:Python2.3k152

• shunsukesaito/PIFu

  This repository contains the code for the paper "PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization"

  Language:Python1.8k343

• roboflow/supervision

  We write your reusable computer vision tools. 💜

  Language:Python24.5k1.8k

• X-PLUG/mPLUG-2

  mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video (ICML 2023)

  Language:Python22119

• HyelinNAM/ContrastiveDenoisingScore

  [CVPR2024] Official PyTorch implementation of "Contrastive Denoising Score(CDS) for Text-guided Latent Diffusion Image Editing"

  Language:Python1024

• deepseek-ai/DreamCraft3D

  [ICLR 2024] Official implementation of DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior

  Language:Python2.1k91

• yayayru/sign-lanuage-datasets

  These datasets are used for machine-learning research

  496

• WongKinYiu/yolov7

  Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

  Language:Jupyter Notebook13.5k4.2k

• AlexeyAB/darknet

  YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

  Language:C21.8k8k

• CopilotKit/CopilotKit

  React UI + elegant infrastructure for AI Copilots, in-app AI agents, AI chatbots, and AI-powered Textareas 🪁

  Language:TypeScript14.4k2.2k

• curiousily/Get-Things-Done-with-Prompt-Engineering-and-LangChain

  LangChain & Prompt Engineering tutorials on Large Language Models (LLMs) such as ChatGPT with custom data. Jupyter notebooks on loading and indexing data, creating prompt templates, CSV agents, and using retrieval QA chains to query the custom data. Projects for using a private LLM (Llama 2) for chat with PDF files, tweets sentiment analysis.

  Language:Jupyter Notebook1.1k362

• chongzhou96/EdgeSAM

  Official PyTorch implementation of "EdgeSAM: Prompt-In-the-Loop Distillation for On-Device Deployment of SAM"

  Language:Jupyter Notebook95742