jideilori

jideilori's Stars

• PaddlePaddle/PaddleOCR

  Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)

  Language:Python45k4449.4k7.9k

• GokuMohandas/Made-With-ML

  Learn how to design, develop, deploy and iterate on production-grade ML applications.

  Language:Jupyter Notebook37.8k1.2k736k

• upscayl/upscayl

  🆙 Upscayl - #1 Free and Open Source AI Image Upscaler for Linux, MacOS and Windows.

  Language:TypeScript31.7k1577951.5k

• xinntao/Real-ESRGAN

  Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.

  Language:Python28.8k2316903.6k

• roboflow/supervision

  We write your reusable computer vision tools. 💜

  Language:Python24.4k1614501.8k

• open-mmlab/mmaction2

  OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark

  Language:Python4.4k421.4k1.3k

• obss/sahi

  Framework agnostic sliced/tiled inference + interactive ui + error analysis plots

  Language:Python4.2k450602

• kenshohara/3D-ResNets-PyTorch

  3D ResNets for Action Recognition (CVPR 2018)

  Language:Python3.9k58269932

• illuin-tech/colpali

  The code used to train and run inference with the ColPali architecture.

  Language:Python1.3k1580109

• NVlabs/BundleSDF

  [CVPR 2023] BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects

  Language:Python1.1k17172120

• chongzhou96/EdgeSAM

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

  Language:Jupyter Notebook949173642

• tryolabs/soccer-video-analytics

  Demo on how to compute soccer ball possession automatically using AI.

  Language:Python202131055

• Karel911/TRACER

  TRACER: Extreme Attention Guided Salient Object Tracing Network (AAAI 2022) implementation in PyTorch

  Language:Python19553540

• FootballAnalysis/footballanalysis

  Language:Python16941535

• sagieppel/fine-tune-train_segment_anything_2_in_60_lines_of_code

  The repository provides code for training/fine tune the Meta Segment Anything Model 2 (SAM 2)

  Language:Jupyter Notebook1420021

• tjiiv-cprg/MonoRUn

  [CVPR'21] MonoRUn: Monocular 3D Object Detection by Reconstruction and Uncertainty Propagation

  Language:Python1067511

• PacktPublishing/3D-Deep-Learning-with-Python

  3D Deep Learning with Python, Published by Packt

  Language:Python914241

• tjpin/New-PySide6-ui-design

  Language:Python812040

• JooZef315/football-tracking-data-from-TV-broadcast

  get football tracking data from TV broadcast using yoloV5, Deep sort

  Language:Python693519

• eververas/3DGazeNet

  [ECCV 2024] 3DGazeNet: Generalizing Gaze Estimation with Weak-Supervision from Synthetic Views

  Language:Python622166

• zgchen33/MCGaze

  [IEEE SPL] End-to-end Video Gaze Estimation via Capturing Head-face-eye Spatial-temporal Interaction Context

  Language:Python4521110

• Dichao-Liu/CMAL

  Language:Python4411111

• Traffic-X/MonoUNI

  Official implementation of the NeurIPS 2023 paper MonoUNI: A Unified Vehicle and Infrastructure-side Monocular 3D Object Detection Network with Sufficient Depth Clues.

  Language:Python402217

• MM4SPA/tvcalib

  Language:Python301811

• trungleduc/ipecharts

  Echarts Jupyter Widget

  Language:Python17282

• pbonazzi/tinytracker

  [SENSOR 2023] TinyTracker is a highly efficient, fully quantized model for 2D gaze estimation designed to maximize the performance of the edge vision systems .

  Language:Python11100

• dinaYriad/Action-Recognition

  This project involves the identification of different actions from video clips where the action may or may not be performed throughout the entire duration of the video. This is done using two CNN models which are 3D-CNN and LSTM models.

  Language:Jupyter Notebook5110

• Jaykumaran/Action_Recognition_UCF101_CNN_LSTM

  Language:Jupyter Notebook5102

• macrodrigues/vanscrap

  Web scrape Yescapa website using scrapy and splash service

  Language:Python2100

• fbasatemur/action_recognition

  Applications of video classification / action recognition using 3D CNN and 2D CNN + LSTM on the UCF-101

  Language:Jupyter Notebook1200