Pinned Repositories
Awesome-Transformer-in-CV
A Survey on Transformer in CV.
baidu-top-crawler
获取百度热点
chineseocr_lite
超轻量级中文ocr，支持竖排文字识别, 支持ncnn、mnn、tnn推理 ( dbnet(1.8M) + crnn(2.5M) + anglenet(378KB)) 总模型仅4.7M
CVPR2023-Papers-with-Code
CVPR 2023 论文和开源项目合集
CVprojects
computer vision projects | 计算机视觉相关好玩的AI项目
Deep-Learning-Interview-Book
深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）
GitHubDaily
坚持分享 GitHub 上高质量、有趣实用的开源技术教程、开发者工具、编程网站、技术资讯。A list cool, interesting projects of GitHub.
license_robot
license_robot用来对软件模块做授权.license文件加密,根据硬件生成唯一序列号
rk3588_yolov5_deploy
yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
wangqiqi's Repositories
wangqiqi/baidu-top-crawler
获取百度热点
wangqiqi/rk3588_yolov5_deploy
wangqiqi/yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
wangqiqi/Awesome-Transformer-in-CV
A Survey on Transformer in CV.
wangqiqi/chineseocr_lite
超轻量级中文ocr，支持竖排文字识别, 支持ncnn、mnn、tnn推理 ( dbnet(1.8M) + crnn(2.5M) + anglenet(378KB)) 总模型仅4.7M
wangqiqi/CVPR2023-Papers-with-Code
CVPR 2023 论文和开源项目合集
wangqiqi/CVprojects
computer vision projects | 计算机视觉相关好玩的AI项目
wangqiqi/Deep-Learning-Interview-Book
深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）
wangqiqi/GitHubDaily
坚持分享 GitHub 上高质量、有趣实用的开源技术教程、开发者工具、编程网站、技术资讯。A list cool, interesting projects of GitHub.
wangqiqi/license_robot
license_robot用来对软件模块做授权.license文件加密,根据硬件生成唯一序列号
wangqiqi/ncnn
ncnn is a high-performance neural network inference framework optimized for the mobile platform
wangqiqi/new-pac
wangqiqi/opencv-python-tutorial
wangqiqi/wangqiqi
Config files for my GitHub profile.
wangqiqi/wangqiqi.github.io
kenneth's blog,
wangqiqi/model_zoo
wangqiqi/Qwen
The official repo of Qwen (通义千问) chat & pretrained large language model proposed by Alibaba Cloud.
wangqiqi/Qwen-VL
The official repo of Qwen-VL (通义千问-VL) chat & pretrained large vision language model proposed by Alibaba Cloud.
wangqiqi/raw2jpg
图像raw数据与图像文件jpg互转
wangqiqi/ultralytics
NEW - YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite
wangqiqi/YOLOv5-Lite
🍅🍅🍅YOLOv5-Lite: lighter, faster and easier to deploy. Evolved from yolov5 and the size of model is only 930+kb (int8) and 1.7M (fp16). It can reach 10+ FPS on the Raspberry Pi 4B when the input size is 320×320~