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多设备 OpenWrt Aciton 固件云编译——X86、竞斗云、极路由 B70、K2T、K2P、K3、N1、红米 AC2100、Newifi D2、树莓派、小娱 C5、R2S、R4S、小米 R3G、小米 R3P、小米 Mini、网件 R7800、星际宝盒 CM520、Amlogic S905X3、OrangePi Zero Plus、网件 3800、Linksys Wrt1900acs…
一分钟在线定制编译 X86/64, NanoPi R2S R4S R5S R6S, 斐讯 Phicomm N1 K2P, 树莓派 Raspberry Pi, 香橙派 Orange Pi, 红米AX6, 小米AX3600, 小米AX9000, 红米AX6S 小米AX3200, 红米AC2100, 华硕ASUS, 网件NETGEAR 等主流软硬路由
A curated list of awesome anomaly detection resources
Computer Vision deployment tools for dummies and experts. CVU aims at making CV pipelines easier to build and consistent around platforms, devices, and models.
A curated list of awesome anomaly detection resources
Anomaly Detection via Reverse Distillation from One-Class Embedding
Download images from Google, Bing, Baidu. 谷歌、百度、必应图片下载.
an implementation of 3D Ken Burns Effect from a Single Image using PyTorch
ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM
A simple implementation of some complex Sensor Fusion algorithms
这是一个mobilenet-yolov4的库，把yolov4主干网络修改成了mobilenet，修改了Panet的卷积组成，使参数量大幅度缩小。
EASY-EAI / yolov5
Forked from ultralytics/yolov5YOLOv5 in PyTorch > ONNX > CoreML > TFLite
📚 C/C++ 技术面试基础知识总结，包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, in…
A conversion toolset between different object detection and instance segmentation annotation formats
PPOCRLabel is a semi-automatic graphic annotation tool suitable for OCR field, with built-in PP-OCR model to automatically detect and re-recognize data. It is written in Python 3 and PyQT5, support…
A PyTorch implementation of EfficientNet
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码
Kaggle airbus ship detection challenge 21st solution
Code for generating synthetic text images as described in "Synthetic Data for Text Localisation in Natural Images", Ankush Gupta, Andrea Vedaldi, Andrew Zisserman, CVPR 2016.
Code used to generate synthetic scenes and bounding box annotations for object detection. This was used to generate data used in the Cut, Paste and Learn paper
convert dataset to coco/voc format