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- Deep Learning food image recognition system for cooking recipe retrieval
- Tutorials of Object Detection using Deep Learning
- 1 What is object detection?
- 2 First Object Detection using Deep Learning
- 3 The application of Object Detection
- 4 How to measure performance of object detection
- 5 Training Deep Networks with Synthetic Data Bridging the Reality Gap by Domain Randomization Review
- 6 Object Detection Multi Scale Testing Method Review
- How to run Object Detection and Segmentation on a Video Fast for Free
- Mask R-CNN Demo Colaboratory
- ENet - A Neural Net Architecture for real time Semantic Segmentation colab
- A Practical Implementation of the Faster R-CNN Algorithm for Object Detection (Part 2 — with Python codes)
- Snagging Parking Spaces with Mask R-CNN and Python
- SlowFast – Dual-mode CNN for Video Understanding
- Zero to Hero: Guide to Object Detection using Deep Learning: Faster R-CNN,YOLO,SSD
- Mask R-CNN for Object Detection - YouTube
- A Deep Learning based magnifying glass
- Zoom in... enhance: a Deep Learning based magnifying glass - part 2
- Object Detection — A Game Changer for Market Research
- NSFW Tensorflow: Identifying objectionable content using Deep Learning
- Realtime Multi-Person Pose Estimation 논문 리뷰 및 구현
- Deep Learning at Scale: Distributed Training and Hyperparameter Search for Image Recognition Problems
- 서비스에서 야경 좋은 식당 찾기 — Vision, Semi-supervised learning, Hierarchical classification | by Doyoung Gwak | 네이버 플레이스 개발 블로그 | Aug, 2021 | Medium
- Face Recognition
- Face Recognition Technology Evaluation (FRTE) 1:1 Verification
- 데이터야놀자2021 Transfer Learning으로 효율적인 이미지 분류모델 만들기 - 박경호/정현희님 - YouTube
- 이미지 분류 모델 개발, 아직도 데이터만 기다려? - tech.kakao.com
- A new, unique AI dataset for animating amateur drawings
- Ariadna Kramkovska - Background removal without background knowledge - YouTube
- donut: Official Implementation of OCR-free Document Understanding Transformer (Donut) and Synthetic Document Generator (SynthDoG), ECCV 2022
- fight_detection: Real time Fight Detection Based on 2D Pose Estimation and RNN Action Recognition
- ImageBind: Holistic AI learning across six modalities
- Painter & SegGPT Series: Vision Foundation Models from BAAI SegGPT: Segmenting Everything In Context
- segment-anything: The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model
- Introducing Segment Anything: Working toward the first foundation model for image segmentation
- 모델의 가장 큰 특징은 foundation model이라는 점
- 기존에는 language model에서는 foundation model이라는 개념이 많이 도입되었던 것에 비해 image에 대한 특정 task에 대한 foundation model이 도입되지 않았음
- 이번 모델의 데모나 성능을 보면 image segmentation을 하고 도메인에 상관없이 제로샷으로 바로 작동
- How to Use the Segment Anything Model (SAM)
- Label Data with Segment Anything Model (SAM) in Roboflow - YouTube
- SAM(Segment Anything Model)과 친해지기 - 김경환
- MobileSAM: This is the offiicial code for Faster Segment Anything (MobileSAM) project that makes SAM lightweight
- nanosam: A distilled Segment Anything (SAM) model capable of running real-time with NVIDIA TensorRT
- Segment Any Part in 3D Objects
- segment-anything-2: The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model
- SAM 2: 이미지와 비디오를 위한 Segment Anything | GeekNews
- 메타 때문에 잠을 못자요 | SAM2, kling vs luma, Anitalker - YouTube
- 비디오에서 객체를 추적하고 효과를 적용하는 데 사용
- 메모리 뱅크라는 새로운 기능이 추가되어 일시적으로 가려지거나 사라지는 객체 추적 가능
- VidiGo 메타 때문에 잠을 못자요 | SAM2, kling vs luma, Anitalker.mp4
- 메타 때문에 잠을 못자요 SAM2, kling vs luma, Anitalker | 완벽한 영상요약, 릴리스에이아이 | Lilys AI
- SAM 2, 이미지부터 비디오까지 ‘모두를 분할(Segment Anything)’한다! - YouTube
- segment-anything-video: MetaSeg: Packaged version of the Segment Anything repository
- Introducing Segment Anything: Working toward the first foundation model for image segmentation
- SGToolkit: An Interactive Gesture Authoring Toolkit for Embodied Conversational Agents (UIST 2021)
- TurboOCR — OCR Server
- vid2player 페더러 vs. 페더러, AI 테니스 플레이어의 탄생 - YouTube
- Build A Hand Detection App Tutorial
- Naver CLOVA Face Recognition(CFR)을 활용한 웹앱 만들어보기 | by Ryan Kim | Oct, 2020 | Medium
- 사물인식하기 2 , ObjectDetection– ML5.js « Makezone – 인터랙티브 미디어, fablication 그리고 사물인터넷(IoT)
- 얼굴 인식하기 2, FaceAPI – ML5.js « Makezone – 인터랙티브 미디어, fablication 그리고 사물인터넷(IoT)
- handtrack.js: A library for prototyping realtime hand detection (bounding box), directly in the browser
- mind-ar-js: Web Augmented Reality. Image Tracking, Face Tracking. Tensorflow.js
- Albumentations: fast and flexible image augmentations
- CLOUD VISION API
- COCO API - Dataset @ http://cocodataset.org
- Cut-And-Save-Faces
- OpenCV와 dlib를 활용하여 만든 Face-Only Picture Collector. 얼굴이 많이 찍혀있는 사진을 Input으로 넣으면 자동으로 얼굴들을 잘라서 Save & Align
- face detect는 cv2, face align은 dlib
- Dataset Annotator - Tool for annotating image datasets
- DeepClassificationBot - A deep learning powered bot capable of classifying images into user-specified categories
- deface: Video anonymization by face detection
- 동영상이나 사진에서 얼굴을 자동으로 감지해 모자이크, 블러 등으로 익명 처리하는 명령줄 도구
- 높은 해상도 영상 처리 시 속도와 정확도를 조절하는 옵션이 있으며, GPU 가속을 지원해 처리 속도를 개선 가능
- 얼굴 인식에는 CenterFace라는 딥러닝 모델 사용
- DensePose: Dense Human Pose Estimation In The Wild
- delira - Deep Learning In RAdiology
- PyTorch 기반 CT/MRI 등의 이미지 딥러닝 프레임워크
- 데이터셋 로딩, 샘플링, augmentation, 일반적인 트레이닝 클래스, 웹 기반 모니터링 등을 지원
- delira - Lightweight framework for fast prototyping and training deep neural networks in medical imaging
- dl-docker - All-in-one Docker image for Deep Learning
- fastocloud: IPTV/NVR/CCTV/Video cloud
- fb-vision-bot
- FIGR-8 - Few-shot Image Generation with Reptile: the dataset
- GluonCV: a Deep Learning Toolkit for Computer Vision
- Hand Keypoint Detection in Single Images using Multiview Bootstrapping
- imgaug - Image augmentation for machine learning experiments. http://imgaug.readthedocs.io
- Image Recognition using Machine Learning Techniques
- Image Text Recognition in Python
- Inpainting - Implementation of "Context Encoders: Feature Learning by Inpainting"
- Image Completion with Deep Learning in TensorFlow 기초부터 아주 자세하게 나와서 reddit에서 화제가 된 post
- JPEG-AUTOROTATE - A node module to rotate JPEG images based on EXIF orientation exif 파일에 맞게 픽셀값들을 맞춰주는 라이브러리
- python의 imread로 자신이 찍은 사진을 업로드 하면, 어떤 사진은 사진이 분명 뒤집어진 사진이 아님에도, 뒤집어져서 read되는 경우 발생
- 이유; Why Your Photos Don’t Always Appear Correctly Rotated
- exif meta정보를 이용해서 이미지 정보를 가지고 있는데, 문제는 이 exif가 구형 이미지 뷰어나, python의 imread를 활용할 때
- exif를 인식하지 못하여, exif에 있는 orientaion 항목이 아니라, exif를 무시한체 raw한 픽셀정보로 띄우다 보니
- 만약 orientaion과 실제 픽셀이 구성된 방향이 다르면 자연스럽게 뒤집어져서 로드
- Kinetics is a large-scale, high-quality dataset of YouTube video URLs which include a diverse range of human focused actions
- LabelAnything: Multi-class few-shot semantic segmentation using visual prompts (ECAI 2025)
- LAION-400M - 4억개짜리 이미지-텍스트 쌍 데이터셋 | GeekNews
- Leptonica is a pedagogically-oriented open source site containing software that is broadly useful for image processing and image analysis applications
- libfacedetection
- LUMINOTH - Open source Computer Vision toolkit
- MegaFace: Test face recognition at the million scale
- OmniParser
- GUI 스크린샷 파서, 최근 나온 클로드 Computer Use 같은 GUI 상호작용 에이전트 개발 가능할 걸로 예상
- OpenPose: A Real-Time Multi-Person Keypoint Detection And Multi-Threading C++ Library
- paz: Hierarchical perception library in Python for pose estimation, object detection, instance segmentation, keypoint estimation, face recognition, etc
- pico.js, a face-detection library in 200 lines of JavaScript
- pixerise: A high-performance 3D software renderer implemented in Python, optimized with NumPy and Numba JIT compilation
- Pl@ntNet
- Realtime Multi-Person Pose Estimation
- Slic: Single line image classifier 한 줄의 명령어로 필요한 이미지 데이터셋을 생성, 자동으로 다중 분류 모델 학습, 학습이 종료되면 즉시 api를 빌드 및 테스트 환경(localhost) 구축
- smile-more - Check your face and make sure you smile using Google Vision API
- srez - Image super-resolution through deep learning
- StylEx Google AI Blog: Introducing StylEx: A New Approach for Visual Explanation of Classifiers
- Tencent ML Images released: 18 million training images with 11,000 categories
- TiefVision - End-to-end deep learning image-similarity search engine
- vatic is a free, online, interactive video annotation tool for computer vision research that crowdsources work to Amazon's Mechanical Turk
- VICAR Open Source - We are pleased to announce that the VICAR Core is now available in Open Source form!
- VTK - The Visualization Toolkit (VTK) is an open-source, freely available software system for 3D computer graphics, image processing, and visualization
- WebRTC
- WebRTC samples
- Getting Started with WebRTC
- Build a Webcam Communication App using WebRTC
- Introduction | WebRTC for the Curious
- WebRTC Library 다루기 | Hyperconnect Tech Blog
- WebRTC는 어떻게 실시간으로 데이터를 교환할 수 있을까? - 재그지그의 개발 블로그
- Comparing WebRTC with HTTP-based streaming
- Building video chat into my personal website using WebRTC, Websockets, and Golang on GCP
- 사례별로 살펴보는 WebRTC + Streaming 설계 · Present
- Top 5: Best Open Source WebRTC Media Server Projects | Our Code World
- WebRTC 시동걸기 | Doublem.org
- WebRTC 시그널링 서버 구현하기 | Doublem.org
- The evolution of WebRTC 1.0. - Advancing WebRTC
- 샤피라이브 1편: WebRTC 기술 적용 스토리 (feat. low-latency) :: GS Retail Engineering
- 샤피라이브 2편: WebRTC 정복하기 (Flutter 개발자의WebRTC 개발담) :: GS Retail Engineering
- WebRTC? WebSockets? 5분 개념정리! - YouTube
- How does Discord scale to 5 million concurrent users ?? | by Sukhad Anand | Medium
- WebRTC 서비스 부하 테스트 | NHN FORWARD
- 글로벌 라이브 스트리밍을 지탱하는 하이퍼커넥트 미디어 서버 인프라를 소개합니다 | Hyperconnect Tech Blog
- 카카오워크 음성채팅 웹 개발기
- 나를 가장 지치게 만들었던 버그 - 재그지그의 개발 블로그
- WebRTC - 클라이언트끼리 소통하기 - YouTube
- coturn TURN server project
- GStreamer 1.20: Embedded & WebRTC lead the way
- IPFS A guide to IPFS connectivity in web browsers | IPFS Blog & News
- Janus WebRTC Server (multistream): About Janus
- pear: WebRTC Library for IoT/Embedded Device using C
- peerfetch: Peer-to-peer HTTP over WebRTC
- pion/webrtc: Pure Go implementation of the WebRTC API
- webrtcH4cKS: ~ Open Source Cloud Gaming with WebRTC
- webrtc-nuts-and-bolts: A holistic way of understanding how WebRTC and its protocols run in practice, with code and detailed documentation
- Webtoon AI Painter
- YoHa - A practical hand tracking engine | handtracking.io
- YOLO: Real-Time Object Detection
- YOLO
- How to Deploy Yolo on Tensorflow Serving - Part 1
- '머신러닝&딥러닝/YOLO'
- 분석 YOLO
- 커스텀 데이터 셋으로 Yolo 써 보기 1
- 커스텀 데이터 셋으로 Yolo 써 보기 2
- Object detection in just 3 lines of R code using Tiny YOLO
- Common Understanding about YOLO
- One-shot object detection
- windows환경/darknet/ 점수내기 - DACON
- YOLO Real time object detection on CPU
- 컴퓨터 비전에서의 Receptive Field와 YOLO - 모두의연구소
- GaussianYoloV3_Detector
- OpenDataCam - An open source tool to quantify the world YOLO기반 카메라 활용
- labelImg: 🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images
- MS-DAYOLO: Multiscale Domain Adaptive YOLO for Cross-Domain Object Detection
- tfjs-yolo: YOLO v3 and Tiny YOLO v1, v2, v3 with Tensorflow.js
- TincyYOLO: a real-time, low-latency, low-power object detection system running on a Zynq UltraScale+ MPSoC
- v2
- v3
- PyTorch-YOLOv3
- PyTorch 로 YOLOv3 구현한 것을 Colaboratory 에서 돌려보자
- How to implement a YOLO (v3) object detector from scratch in PyTorch: Part 1
- How to implement a YOLO (v3) object detector from scratch in PyTorch
- 윈도우즈에서 yolo v3 돌려보기 1/2
- 윈도우즈에서 yolo v3 돌려보기 2/2
- Yolo v3 커스텀 모델 학습
- What’s new in YOLO v3?
- YOLOv3
- How to Build an Object Tracker Using YOLOv3, Deep SORT and TensorFlow
- Tutorial #1 : Use YOLOv3 : AlexeyAB/darknet (Video files / Webcam) Windows or Linux - YouTube
- Suite와 Valohai로 YOLOv3 파이프라인 설계하기 - Superb AI Blog
- thermal_signature_drone_detection: Detection of drones using their thermal signatures from thermal camera through YOLO-V3 based CNN with modifications to encapsulate drone motion
- v4
- YOLOv4 (v3/v2) - Windows and Linux version of Darknet Neural Networks for object detection (Tensor Cores are used) http://pjreddie.com/darknet
- YOLOv4 in the CLOUD: Build and Train Custom Object Detector
- YOLOv4 Object Detection with TensorFlow, TensorFlow Lite and TensorRT Models
- Counting Objects Using YOLOv4 Object Detection | Custom YOLOv4 Functions with TensorFlow
- Object Tracking Using YOLOv4, Deep SORT, and TensorFlow
- YOLOv4 Object Detection Crash Course | YOLO v4 how it works and how to build it
- YOLOv4 in the CLOUD: Build Object Tracking Using DeepSORT in Google Colab (FREE GPU)
- How to Build a Custom YOLOv4 Object Detector using TensorFlow
- Yolo V4 를 이용한 유리층 식별/분류 솔루션
- Object Detection YOLOv4 Darknet 학습하여 Custom 데이터 인식 모델 만들기 (feat. AlexeyAB/darknet)
- v5
- YOLO V4 vs V5 - YouTube
- YOLOv5 is Here: State-of-the-Art Object Detection at 140 FPS
- YOLOv5 compared to Faster RCNN. Who wins? | by Priya Dwivedi | Jul, 2020 | Towards Data Science
- YOLO V5 Model comparison - YouTube
- Yolo V5 Object Detection using Pytorch | On Local & Colab
- "Yolov5 Object Detection Using Google Colab & Python" | KNOWLEDGE DOCTOR | Mishu Dhar - YouTube
- C# 기반 배포 가능한 딥러닝 객체 감지 프로그램 개발(feat. YOLO v5) #1 | by Minsu Cho | Hard Boiled Smith Stories | Apr, 2021 | Medium
- C# 기반 배포 가능한 딥러닝 객체 감지 프로그램 개발(feat. YOLO v5) #2 | by Minsu Cho | Hard Boiled Smith Stories | Jun, 2021 | Medium
- AYolov2
- YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
- yolov5-knowledge-distillation: YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
- v7
- Training YOLOv7 on Custom Data - Colaboratory
- 코딩없이 YOLOv7을 체험해보자! | Smilegate.AI
- yolov7: Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
- yolov7: Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
- MaskRCNN vs YOLOv7: A Comparison of Object Segmentation Algorithms
- v8
- v10
- v11
- yolo-training-template: In this repo there are some tips and a template to train your YOLO model for any kind of computer vision application
- YOLO Training Template — 라벨링부터 배포까지 한 번에
- YOLO Training Template: 프레임만 그리면 바운딩 박스 자동 생성 → 라벨링 속도 급상승
- 데이터 전 과정 지원: 데이터 업로드 → 수동/자동 라벨링(DINOv3) → 데이터 증강
- 즉시 학습, 추론: 내 데이터로 YOLO 모델 학습 후 바로 인퍼런스
- 엣지 배포 친화: ONNX / NCNN 내보내기 → 엣지 HW, 스마트폰 호환
- 완전 무료, 지금 바로 테스트 가능
- YOLO-World: Real-Time Open-Vocabulary Object Detection
- yolox
- Creating a Modern OCR Pipeline Using Computer Vision and Deep Learning
- 카카오 OCR 시스템 구성과 모델
- 아날로그 기상 데이터를 OCR로 디지털화할 수 있을까?
- #42. 사진 속 글자 읽기, OCR (Optical Character Recognition)
- 한국어 OCR 해내기 (With Naver Cloud Platform) 1편: 가뿐하게 OCR API를 만들고 쓰는 법
- 한국어 OCR 해내기 (With Naver Cloud Platform) 2편: 입맛대로 커스텀한 OCR 만들기
- CHARACTER REGION AWARENESS FOR TEXT DETECTION
- 알도개 RPA와 AI
- 파이썬으로 사진에서 문자인식하는 AI 쉽게 만들기 - YouTube
- 미래 교실을 만드는 콴다의 AI 기술. AI 디지털 교과서를 통해 공교육 환경에서 교육 혁신을 만들어 갑니다. | by Pyungwoo Yoo | Mar, 2024 | Team QANDA
- NLP와 OCR, 머신 러닝으로 더욱 편리하고 특별한 LINE 가계부 만들기 - LINE ENGINEERING
- RAG에서 한국어 OCR(Clova OCR, Upstage, Llama Parse) 써보기
- 이미지 캡셔닝 - Hugging Face의 BLIP 모델로 이미지 설명 자동 생성하기
- 카카오 AI가 법인카드 영수증을 처리하는 방법: AI 간편 정산 개발기 - tech.kakao.com
- chandra: OCR model that handles complex tables, forms, handwriting with full layout.
- Datalab
- DeepSeek-OCR: Contexts Optical Compression
- Docling - Docling
- EasyOCR: Ready-to-use OCR with 40+ languages supported including Chinese, Japanese, Korean and Thai
- master-easy-ocr-wook-2.endpoint.ainize.ai
curl -X POST "https://master-easy-ocr-wook-2.endpoint.ainize.ai/word_extraction" -H "accept: images/*" -H "Content-Type: multipart/form-data" -F "language=ko" -F "base_image=@<file name>.jpg;type=image/jpeg".jpg file이 있는 directory에서 실행
- GLM-OCR: Next-generation OCR for complex documents
- 복잡한 문서까지 정확하게 읽는 차세대 OCR, GLM-OCR 완전 정리
- 지푸, 9억 매개변수의 강력한 OCR 모델 'GLM-OCR' 출시 | AI타임스
- 0.9B 경량 멀티모달 문서 이해 모델. OmniDocBench V1.5 1위(94.62점). Multi-Token Prediction으로 50% 속도 향상. 수식·표·도장·코드 문서 인식, vLLM/SGLang/Ollama 배포 지원
- Inverse-DALL-E-for-Optical-Character-Recognition: Inverse DALL-E for Optical Character Recognition
- kakao API — ocr - Jun - Medium
- kakao API — ocr
- liteparse: Open-source fast and helpful document parser
- How LiteParse Turns PDFs Into Text: A Deep-Dive Into the Grid Projection Algorithm | LlamaIndex
- 로컬 PDF 파싱. 바운딩 박스 공간 텍스트 추출, Tesseract.js OCR 내장, 스크린샷 생성. Grid Projection 알고리즘으로 멀티컬럼/표 정렬 보존
- llm_aided_ocr: Enhance Tesseract OCR output for scanned PDFs by applying Large Language Model (LLM) corrections.
- MinerU-Diffusion: Diffusion-based document OCR framework
- 2603.22458
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- opencv - Open Source Computer Vision Library http://opencv.org
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- 이미지 프로세싱 & 컴퓨터 시각화 3부
- 이미지 프로세싱 & 컴퓨터 시각화 4부
- 이미지 프로세싱 & 컴퓨터 시각화 5부
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- 이미지 프로세싱 & 컴퓨터 시각화 11부 - Blurring & Smoothing (2화)
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- 이미지 프로세싱 & 컴퓨터 시각화 15부 - Gradient
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- 이미지 프로세싱 & 컴퓨터 시각화 17부 - Video (drawing)
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- 이미지 프로세싱 & 컴퓨터 시각화 25부 - Feature Matching (2화)
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- 이미지 프로세싱 & 컴퓨터 시각화 27부 - Watershed Algorithm(2화)
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- Prepare Your Own Data for PointNet PTS data, PLY data, HDF5
- PySceneDetect - a command-line application and a Python library for detecting scene changes in videos, and automatically splitting the video into separate clips
- PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models
- PVT/detection at v2 · whai362/PVT object detection
- repnet-cli: RepNet command line interface (https://sites.google.com/view/repnet)
- RetinaFace-tf2: RetinaFace (RetinaFace: Single-stage Dense Face Localisation in the Wild, published in 2019) reimplemented in Tensorflow 2.0, with pretrained weights available !
- scikit-image: Image processing in Python — scikit-image
- sklearn An Offbeat Approach to Brain Tumor Classification using Computer Vision
- Speech2Face: Implementation of the CVPR 2019 Paper - Speech2Face: Learning the Face Behind a Voice by MIT CSAIL
- state-farm-detection: State Farm Distracted Driver Detection via Image Classification
- 다양한 이미지 분류 정확도 향상 기법들이 존재, 논문 'Bags of Tricks for Image Classification with CNNs'이 총정리
- 논문에 나온 대로 Label Smoothing, Mixup, RAdam이나 AdamW 같은 옵티마이저 추가 사용 유무, SWA, Kaggle 대회에서 자주 쓰이는 TTA, K-fold Ensemble, Pseudo Labeling 같은 기법등이 정말 잘 동작하는지 궁금해짐
- Kaggle의 'State Farm 부주의한 운전자 탐지' 데이터셋을 가지고 다양한 실험 진행
- 추가로 데이터셋 파이프라인에서부터 모델 서빙까지, 딥 러닝 모델의 생애주기를 구현
- Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI
- VISSL · A library for state-of-the-art self-supervised learning
- YouEye - kiosk machine helper solution for blinded people
- 🔴컴퓨터 그래픽스 게임 프로그래밍 입문 총정리! | 그래픽스 새싹코스 파트4 보기 전 훑어보기 - YouTube
- Computer-vision: Computer Vision implementation
- cm203: Introduction to Computer Vision course materials
- Digital-Image-Processing: Image Processing Implementation
- VLM backbone에 대한 트렌드를 알아보자! | 강재욱 - YouTube
- HCX-VLM과 함께 홈피드를 더 예쁘게 바꿔보자!
- MyColPali: The PyQt6 application using ColPali and OpenAI to show Efficient Document Retrieval with Vision Language Models
- PersonaPlex: Real-time, full-duplex speech-to-speech conversational model with persona control
- personaplex
- personaplex-7b-v1
- 텍스트 기반 역할 프롬프트와 오디오 기반 음성 조절로 개성 제어 가능한 실시간 전이중 음성-음성 대화 모델
- Phi-4-reasoning-vision-15B: Microsoft's 15B multimodal reasoning model
- Phi-4-Vision-Reasoning — training a multimodal reasoning model | Microsoft Research
- 이미지 캡셔닝, 문서 인식, 수학·과학 추론 특화. Azure Foundry 클라우드 또는 로컬 호스팅 가능
- Video annotator: a framework for efficiently building video classifiers using vision-language models and active learning | by Netflix Technology Blog | Jun, 2024 | Netflix TechBlog
- blocks: An archived repository of the Google Blocks source code: a VR creation app originally released for the HTC Vive and Oculus Rift
- Google Blocks is now Open Source | Google Open Source Blog
- Google이 2017년 VR 헤드셋으로 3D 객체와 장면을 만들 수 있도록 발표한 Google Blocks를 Apache 라이센스 오픈소스로 아카이브 공개
- Google Blocks is now Open Source | Google Open Source Blog
- VIRTUAL REALITY