Laughing (Laughing-q)

Laughing-q

Geek Repo

Location:chengdu, china

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ultralytics

Laughing's repositories

yolov5-q

This repo is planning for instance segmentation based on yolov5-6.0 and yolact.

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nvim

Laughing-q's nvim config

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dotfiles-Q

Laughing-q's dotfile

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AdelaiDet

AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.

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Cpp_Primer_Practice

搞定C++:punch:。C++ Primer 中文版第5版学习仓库,包括笔记和课后练习答案。

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DeepLearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06

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dmscripts

Fork of Derek Taylor (DistroTube)'s colorscripts on Gitlab

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dwm

Laughing-q's build of dwm, modified from Luke Smith

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fake-chinese-license-plate

本项目旨在自动生成虚拟的**大陆地区标准车牌图像,并提供简单的数据增强手段,来增强视觉感官上的逼真程度。

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JSON2YOLO

Convert JSON annotations into YOLO format.

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kapao

KAPAO is an efficient multi-person human pose estimation model that detects keypoints and poses as objects and fuses the detections to predict human poses.

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labelImg

LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source data labeling tool for images, text, hypertext, audio, video and time-series data.

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lqcv

Laughing-q Computer Vision Foundation

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pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

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ResNeSt

ResNeSt: Split-Attention Networks

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SparseInst

SparseInst: Sparse Instance Activation for Real-Time Instance Segmentation, CVPR 2022

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tokyonight.nvim

🏙 A clean, dark Neovim theme written in Lua, with support for lsp, treesitter and lots of plugins. Includes additional themes for Kitty, Alacritty, iTerm and Fish.

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yolov5-exp

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

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yolov5-face

YOLO5Face: Why Reinventing a Face Detector (https://arxiv.org/abs/2105.12931)

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YOLOv6

YOLOv6: a single-stage object detection framework dedicated to industrial application.

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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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