Pinned Repositories
-CPP-Concurrency-In-Action-2ed-2019
:book: 作为对《C++ Concurrency in Action - SECOND EDITION》的中文翻译。
Asymmetric_VQGAN
扩散学习
awesome-cpp
A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.
awesome-modern-cpp
A collection of resources on modern C++
Bilibili-plus
课程视频、PPT和源代码：侯捷C++系列；台大郭彦甫MATLAB
C-
A Detailed Cplusplus Concurrency Tutorial 《C++ 并发编程指南》
cpp-httplib
A C++ header-only HTTP/HTTPS server and client library
EffectiveModernCppChinese
《Effective Modern C++》翻译 - 已完成
labelme
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
simple_yolo
tensorrt实现yolov5的预处理和解码操作
zsffuture's Repositories
zsffuture/Asymmetric_VQGAN
扩散学习
zsffuture/awesome-cpp
A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.
zsffuture/awesome-modern-cpp
A collection of resources on modern C++
zsffuture/C-
A Detailed Cplusplus Concurrency Tutorial 《C++ 并发编程指南》
zsffuture/cpp-httplib
A C++ header-only HTTP/HTTPS server and client library
zsffuture/CUDA_C-Code
CUDA_C编程权威指南示例代码
zsffuture/DDAD
扩散学习的工业瑕疵检测
zsffuture/fmt_c-_log
A modern formatting library
zsffuture/Hands-On-GPU-Accelerated-Computer-Vision-with-OpenCV-and-CUDA
Hands-On GPU Accelerated Computer Vision with OpenCV and CUDA, published by Packt
zsffuture/pi-ddpm
显微镜模糊重建
zsffuture/pytorch-handbook
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
zsffuture/thread-pool
BS::thread_pool: a fast, lightweight, and easy-to-use C++17 thread pool library
zsffuture/AccurateBG
Patient-specific blood glucose prediction using deep learning, considering the challenges of "small dataset" and "data imbalance"
zsffuture/Behind-the-Mask---Image-Analytics-using-GANs
While the use of Generative Adversarial Networks (GANs) has been a breakthrough in the computer vision industry, there exist multiple styles of GANs that are well-tailored to solve specific problems. Behind the mask, though sounding trivial, points to a critical use case. The situation represents the unsupervised image to image translation by discovering distinctive features from the first set and generating images belonging to the other set by learning distinctions between these two. This technique is more feasible for problems where paired images are not available. Using algorithms like Pix2pix is not viable since paired images are expensive and difficult to obtain. To tackle this problem, CycleGAN, DualGAN, and DiscoGAN provide an insight into which the models can learn the mapping from one image domain to another one with unpaired image data. But even in this case, since the problem is reconstructing human faces by removing their facial masks, which requires non-linear transformations, this is tricky. Moreover, the previously mentioned techniques also alter the background and make changes to unwanted objects as they try to create fake images through generators and discriminators. The goal is to implement an approach that not only detects discriminating factors between two sets of pictures but also generates images without altering the rest of the details and only targets specific areas of the image to change. One other technique that can be employed to address this could be to use Contrast GAN, which selects a part of an image, transforms that based on differentiating factors, and then pastes it back to the original image. However, this created an issue since the face masks used in our case had to be of the exact dimensions and identical, which was not the case. To overcome these challenges, we tried to employ an attention-based technique named AGGAN, Attention-Guided Generative Adversarial Networks, for image translation that does not require additional models/parameters to alter a specific part of the image. The AGGAN comprises two generators and two discriminators, like CycleGAN. Two attention-guided generators in AGGAN have built-in attention modules, which can disentangle the discriminative semantic object and the unwanted part by producing an attention mask and a content mask. The underlying image is fused with these masks to create quality fake images. We also consider additional losses to reduce the variance and make the related images pixel consistent. We think of a more sophisticated network by applying two possible subnets to identify the attention and content masks. To avoid omitting any details, the network employs two attention masks, one for the foreground and one for the background, so that the foreground can be better learned, and the background can be preserved. Also, in this case, the generative content mask is introduced to multiple types of facial masks to identify a broad spectrum of them and effectively remove them and create a more decadent generation space. To obtain high-quality unmasked images, we aim and expect to translate masked images to unmasked ones that can be employed on various faces with different skin colors and expressions.
zsffuture/EffectiveModernCppChinese
《Effective Modern C++》翻译 - 已完成
zsffuture/AudioClassification-Pytorch
基于Pytorch实现的声音分类
zsffuture/ControlNet
Let us control diffusion models
zsffuture/CPlusPlusThings
C++那些事
zsffuture/edgeyolo
an edge-real-time anchor-free object detector with decent performance
zsffuture/incubator-brpc
Industrial-grade RPC framework used throughout Baidu, with 1,000,000+ instances and thousands kinds of services. "brpc" means "better RPC".
zsffuture/inifile-cpp
A header-only and easy to use Ini file parser for C++.
zsffuture/insightface
State-of-the-art 2D and 3D Face Analysis Project
zsffuture/lantern
Lantern官方版本下载 蓝灯 翻墙 代理 科学上网 外网 加速器 梯子 路由 lantern proxy vpn censorship-circumvention censorship gfw accelerator
zsffuture/Lidar_AI_Solution
自动驾驶bev
zsffuture/modelscope
ModelScope: bring the notion of Model-as-a-Service to life.
zsffuture/PicoSHA2
a header-file-only, SHA256 hash generator in C++
zsffuture/ppg-
Config files for my GitHub profile.
zsffuture/pyod
A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
zsffuture/ymir
YMIR, a streamlined model development product.
zsffuture/ZLMediaKit
WebRTC/RTSP/RTMP/HTTP/HLS/HTTP-FLV/WebSocket-FLV/HTTP-TS/HTTP-fMP4/WebSocket-TS/WebSocket-fMP4/GB28181 server and client framework based on C++11