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aigc_llm_engineering

bcnet

Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers [CVPR 2021]

boundary-iou-api

Boundary IoU API (Beta version)

caffe

Caffe: a fast open framework for deep learning.

cvat

Powerful and efficient Computer Vision Annotation Tool (CVAT)

cvpr2021_pfnet

darknet

YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )

deep-learning

:computer:深度学习实战：手写数字识别、Discuz验证码识别、垃圾分类、语义分割

detectron2

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

gas-leak-infrared-imaging-detection

gasleak_detector

Gas Detection Using Infrared Sensors

guideddenoising

Guided Mesh Normal Filtering

keras_yolact

lesrcnn

Lightweight Image Super-Resolution with Enhanced CNN (Knowledge-Based Systems,2020)

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

mobilenet-_v1-mask-rcnn-for-detection

MobileNet _v1 for Mask rcnn

nanodet

⚡Super fast and lightweight anchor-free object detection model. 🔥Only 1.8mb and run 97FPS on cellphone🔥

ncnn

ncnn is a high-performance neural network inference framework optimized for the mobile platform

netron

Visualizer for neural network, deep learning and machine learning models

opencv

Open Source Computer Vision Library

opencv-mobile

The minimal opencv for Android, iOS, ARM Linux, Windows, Linux, MacOS, WebAssembly

opencv_3rdparty

OpenCV - 3rdparty

opencv_contrib

Repository for OpenCV's extra modules

pixel2style2pixel

Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation"

pixelannotationtool

Annotate quickly images.

pointrend-pytorch

A PyTorch implementation of PointRend: Image Segmentation as Rendering

qtworddemo

做QT导出word报表，发现网上的资源不是很多，也浪费了很多时间，我自己做了一份demo,将会详细讲述如何做出需要样式的报表。在网上很容易查到java或者其他语言操作word的接口函数，但是QT能操作word的，不是很多，而且还不太好用。我把自己已经调试出来的代码，贡献出来，免得以后浪费时间。 写了一部分接口函数，可以满足大部分的word报表。

queryinst

Instances as Queries (ICCV 2021)

rknn-toolkit2

rolabelimg

Label Rotated Rect On Images for training