xfby's starred repositories

KeepChatGPT

这是一款提高ChatGPT的数据安全能力和效率的插件。并且免费共享大量创新功能,如:自动刷新、保持活跃、数据安全、取消审计、克隆对话、言无不尽、净化页面、展示大屏、拦截跟踪、日新月异、明察秋毫等。让我们的AI体验无比安全、顺畅、丝滑、高效、简洁。

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yolov7

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

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yolov7_d2

🔥🔥🔥🔥 (Earlier YOLOv7 not official one) YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥

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DINO

[ICLR 2023] Official implementation of the paper "DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection"

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geatpy

Evolutionary algorithm toolbox and framework with high performance for Python

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ymir

YMIR, a streamlined model development product.

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PatchCore_anomaly_detection

Unofficial implementation of PatchCore anomaly detection

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cflow-ad

Official PyTorch code for WACV 2022 paper "CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows"

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cs-flow

This is the official repository to the WACV 2022 paper "Fully Convolutional Cross-Scale-Flows for Image-based Defect Detection" by Marco Rudolph, Tom Wehrbein, Bodo Rosenhahn and Bastian Wandt.

ros_yolo_as_template_matching

Run 3 scripts to (1) Synthesize images (by putting few template images onto backgrounds), (2) Train YOLOv3, and (3) Detect objects for: one image, images, video, webcam, or ROS topic.

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mask2json

a small tool for image augmentation, including mask files to json/xml files , image augmentation(flip,rotation,noise,...) and so on

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FastFlow

an implementation of the architecture of FastFlow (Jiawei Yu et al.)

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f_anogan_pytorch

Code for reproducing f-AnoGAN in Pytorch

orthoad

Semi-Orthogonal Embedding for Efficient Unsupervised Anomaly Segmentation

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PaDiM

:dolphin: Re-implementation of PaDiM and code for the article "Weakly Supervised Detection of Marine Animals in High Resolution Aerial Images"

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SemiOrthogonal

:toothbrush: Unofficial re-implementation of Semi-orthogonal Embedding for Efficient Unsupervised Anomaly Segmentation

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AImedical

医疗智能问答系统

Petrographic-Image-Segmentation

Project aimed to segment petrographic images taken from rock samples thin sections, in order to classify rock types.

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Cosine-nonlocal

Paper 5: BAF-Detector: An Efficient CNN-Based Detector for Photovoltaic Cell Defect Detection, IEEE Transactions on Industrial Electronics, IF=8.236, accept.

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NLN

Code for paper entitled "Improving Novelty Detection using the Reconstructions of Nearest Neighbours"

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TextileDefectDetector

Textile Defect Detection with Variational Autoencoder and Gaussian Mixture Model

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CB-FGIR

Content based Fine-Grained Image Retrieval using Convolutional Neural Network

ARC

A vision-based Automatic Retail Checkout System

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show-and-search

small tool for python

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trend_ml_toolkit_xgboost

xgboost自动化调参工具

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