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Tools to Design or Visualize Architecture of Neural Network
In this repository I will give some implementation of single and multiple object tracking algorithms. These include meanShift, CamShift, Boosting, MIL, KCF, TLD , GoTurn, and MedianFlow. Additionally I will show you how to grab frames at a very high FPS from camera and videos.
MXNet / Gluon 中 Triplet Loss 算法
Triplet Loss 损失函数
10个方向的图灵微信技术群相关事宜
Ultimate Python study guide for newcomers and professionals alike. :snake: :snake: :snake:
A simple visual tracking interface using Python
Read-only mirror of Wireshark's Git repository. GitHub won't let us disable pull requests. ☞ THEY WILL BE IGNORED HERE ☜ Please upload them at https://code.wireshark.org/review/ .
MTCNN提出了一种Multi-task的人脸检测框架,将人脸检测和人脸特征点检测同时进行。提出一个新的基于CNN的级联型框架,用于联和(joint)人脸检测和对齐;还设计轻量级的CNN架构使得速度上可以达到实时;提出一个有效的online hard sample mining方法来提高表现能力;在人脸检测和人脸对齐上提高了不少精度。论文原文采用caffe实现,本项目用keras/tensorflow+python实现。
All the trained models used while developing YOLO-LITE
使用YoloV3来实现人脸检测(A face detection demo used YoloV3)
This is a robot project for television live. System will tracking the host's face, making the face in the middle of the screen. Main algorithm is Yolov3, trained on WIDER FACE and tested on FDDB benchmark. Extremely fine performance!
对 YOLOv3 做模型剪枝,在 oxford hand 数据集上模型的参数量减少 80% ,FLOPs 降低 70%,Infer 的速度可以达到原来的 200%,mAP 基本保持不变
子豪兄的零基础树莓派教程,代码存放地及更新勘误
浙江大学课程攻略共享计划
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