Pinned Repositories
100-Days-Of-ML-Code
100 Days of ML Coding
2018-tencent-ad-competition-baseline
2018腾讯广告算法大赛baseline 线上0.73
3rd_place_to_Kaggle_Google_Landmark_Retrieval_2020
This is the source code of the 3rd place to [Kaggle Google Landmark Retrieval 2020]
ABD-Net
[ICCV 2019] "ABD-Net: Attentive but Diverse Person Re-Identification" https://arxiv.org/abs/1908.01114
Advanced-House-price-prediction
Advanced-House-Price-Prediction-
Age-Gender-Estimate-TF
Face age and gender estimate using TensorFlow
deep-learning-coursera
Deep Learning Specialization by Andrew Ng on Coursera.
frontalization
Pytorch deep learning face frontalization model
picodet_pytorch
barbecacov's Repositories
barbecacov/picodet_pytorch
barbecacov/ai_arm_learning
barbecacov/Atlas_ACL_E2E_Demo
barbecacov/centerface
barbecacov/CNN-Backbone
Some SOTA CNN modules or models construction methods and techniques
barbecacov/CPlusPlus
✔（已完结）最全面的 C++ 笔记 【黑马程序员】
barbecacov/Cpp-Concurrency-in-Action-2ed
C++11/14/17/20 multithreading, involving operating system principles and concurrent programming technology.
barbecacov/Cpp-Design-Patterns
C++设计模式
barbecacov/DeepSORT
support deepsort and bytetrack MOT(Multi-object tracking) using yolov5 with C++
barbecacov/FaceAlgorithm
包含人脸检测(Retinaface,yolov5face,yolov7face,yolov8face),人脸检测跟踪(ByteTracker)，人脸角度计算（Face_Angle）人脸矫正(Face_Aligner)，人脸识别(Arcface)，口罩检测(MaskRecognitiion)，年龄性别检测(Gender_age)，静默活体检测(Silent_Face_Anti_Spoofing),FaceAlignment(106keypoints)
barbecacov/fast-reid
SOTA Re-identification Methods and Toolbox
barbecacov/leetcode_re
🔥LeetCode solutions in any programming language | 多种编程语言实现 LeetCode、《剑指 Offer（第 2 版）》、《程序员面试金典（第 6 版）》题解
barbecacov/Mastering-CPP-Multithreading
barbecacov/MegCC
MegCC是一个运行时超轻量，高效，移植简单的深度学习模型编译器
barbecacov/mlsd
Official Tensorflow implementation of "M-LSD: Towards Light-weight and Real-time Line Segment Detection" (AAAI 2022)
barbecacov/MultiThread_learn
barbecacov/multithreading_cpp
Tutorial on Multithreading in C++
barbecacov/nanodet
NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
barbecacov/NNIE-lite
⚡️ Using NNIE as simple as using ncnn ⚡️
barbecacov/note
学习笔记整理📚
barbecacov/paddleocr_tool
test
barbecacov/practical-programming-books
这里收录比较实用的计算机相关技术书籍，可以在短期之内入门的简单实用教程、一些技术网站以及一些写的比较好的博文，欢迎Fork，你也可以通过Pull Request参与编辑。
barbecacov/TensorRT-Alpha
🔥🔥🔥TensorRT-Alpha supports YOLOv8、YOLOv7、YOLOv6、YOLOv5、YOLOv4、v3、YOLOX、YOLOR...🚀🚀🚀CUDA IS ALL YOU NEED.🍎🍎🍎It also supports end2end CUDA C acceleration and multi-batch inference.
barbecacov/tensorrt_learning
barbecacov/threadtest
多线程练习代码
barbecacov/tiny-tensorrt
Deploy your model with TensorRT quickly. 快速使用TensorRT来部署模型
barbecacov/TinyNeuralNetwork
TinyNeuralNetwork is an efficient and easy-to-use deep learning model compression framework.
barbecacov/trt_yolov8_infer_example
基于手写AI的infer模块，使用ffmpeg拉流解码送入trt_yolov8进行目标检测，渲染后推流输出画面，支持cuda硬件编解码
barbecacov/yolov8-pruning
barbecacov/Yolov8_obb_Prune_Track