rmsalinas/fbow
quality grade F, 21 out of 100FBOW (Fast Bag of Words) is an extremmely optimized version of the DBow2/DBow3 libraries.
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Detection, segmentation, tracking, OCR models, 3D reconstruction and classical vision.
Signals: computer-vision, object-detection, image-segmentation, yolo, opencv, image-classification, pose-estimation, object-tracking
1,478 results
FBOW (Fast Bag of Words) is an extremmely optimized version of the DBow2/DBow3 libraries.
This is tensorflow implementation for paper "Deep Image Matting"
Build fully-functioning computer vision models with PyTorch
Arbitrary object tracking at 50-100 FPS with Fully Convolutional Siamese networks.
Official implementation of the CVPR 2022 Paper "Neural RGB-D Surface Reconstruction"
All NeRF-related papers @ CVPR/ICCV/ECCV/NIPS/ICML/ICLR
Exclusively Dark (ExDARK) dataset which to the best of our knowledge, is the largest collection of low-light images taken in very low-light environments to twilight (i.e 10 different conditions) to-date with image class and object level annotations.
Shared Ultralytics logos, media, sample images, pretrained model weights, dataset artifacts, and release assets.
A list of papers and resources (data,code,etc) for holistic 3D reconstruction in computer vision
This repository is a curated collection of the most exciting and influential CVPR 2023 papers. 🔥 [Paper + Code]
News: the 10k dataset is ready for download.
This is a list of awesome paper about optical flow and related work.
YOLOv7 Object Tracking Using PyTorch, OpenCV and Sort Tracking
🏞 A content-based image retrieval (CBIR) system
Dress Code: High-Resolution Multi-Category Virtual Try-On. ECCV 2022
All-in-one Toolbox for Computer Vision Research.
Fast, accurate and easy to run dense optical flow with python wrapper
📸 Automatically detects and crops faces from batches of pictures.
Alternative approach to interfacing with OpenCv from openFrameworks.
A simple, high level, easy to use, open source Computer Vision library for Python.
[NeurIPS 2021] [T-PAMI] DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification
FreeAnchor: Learning to Match Anchors for Visual Object Detection (NeurIPS 2019)
Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving (ICCV, 2019)
✅(已完结)超级全面的 OpenCV 笔记【咕泡唐宇迪】
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