Pinned Repositories
detect_mask
dotfiles-Q
Laughing-q's dotfile
evaluate-and-plot_score
lqcv
Laughing-q Computer Vision Foundation
MTCNN_pytorch
MTCNN by pytorch
nvim
Laughing-q's nvim config
xinye_competition
yolov5_annotations
annotations of yolov5-5.0
ultralytics
Ultralytics YOLO11 🚀
yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
Laughing-q's Repositories
Laughing-q/yolov5_annotations
annotations of yolov5-5.0
Laughing-q/xinye_competition
Laughing-q/.config
Laughing-q's config
Laughing-q/.tmux
🇫🇷 Oh my tmux! My self-contained, pretty & versatile tmux configuration made with ❤️
Laughing-q/antovim
Super-simple vim plugin for cycling through antonyms/words related to word under cursor
Laughing-q/anuraghazra
Laughing-q/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。
Laughing-q/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
Laughing-q/design-pattern
Laughing-q/Detic
Code release for "Detecting Twenty-thousand Classes using Image-level Supervision".
Laughing-q/dmenu
dmenu setup for LARBS
Laughing-q/dwmblocks
My status bar: my build of the modular dwmblocks
Laughing-q/facexlib
FaceXlib aims at providing ready-to-use face-related functions based on current STOA open-source methods.
Laughing-q/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。
Laughing-q/GFPGAN
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
Laughing-q/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.
Laughing-q/Laughing-q
Laughing-q/LeaderF
An efficient fuzzy finder that helps to locate files, buffers, mrus, gtags, etc. on the fly for both vim and neovim.
Laughing-q/LunarVim
An IDE layer for Neovim with sane defaults. Completely free and community driven.
Laughing-q/nanodet
NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
Laughing-q/NvChad
An attempt to make neovim cli as functional as an IDE while being very beautiful, blazing fast startuptime ~ 0.05 secs
Laughing-q/nvim.old
Laughing-q's nvim config, modified from theniceboy
Laughing-q/ranger
Laughing-q/ResNeSt
ResNeSt: Split-Attention Networks
Laughing-q/test_yolov5
Laughing-q/undotree
The undo history visualizer for VIM
Laughing-q/vim-matchup
vim match-up: even better % :facepunch: navigate and highlight matching words :facepunch: modern matchit and matchparen
Laughing-q/Yolo-FastestV2
:zap: Based on Yolo's low-power, ultra-lightweight universal target detection algorithm, the parameter is only 250k, and the speed of the smart phone mobile terminal can reach ~300fps+
Laughing-q/YOLOv5-Lite
🍅🍅🍅YOLOv5-Lite: lighter, faster and easier to deploy. Evolved from yolov5 and the size of model is only 900+kb (int8) and 1.9M (fp16). It can reach 10+ FPS on the Raspberry Pi 4B when the input size is 320×320~
Laughing-q/YOLOX
YOLOX is a high-performance anchor-free YOLO. Exceeding yolov3~v5 with ONNX, TensorRT, NCNN, and Openvino supported.