1374207430's repositories
KCFnb-py3-ubantu
py3&ubantu
-
将图片转为视频
deeplearning-inaction
source code of the book <deep learning in action>
Dlib_face_recognition_from_camera
Detect and recognize the faces from camera / 调用摄像头进行人脸识别，支持多张人脸同时识别
Face-detection-with-mobilenet-ssd
Face detection with mobilenet-ssd written by Keras.
Face-recognition-check-in-system
基于python+face_recognition+opencv+pyqt5+百度AI实现的人脸识别、语音播报、语音合成、模拟签到系统
face_detect
fast and better mtcnn
face_recognition
The world's simplest facial recognition api for Python and the command line
FaceNet-based-Attendance-System
Deep Learning based Web Application for marking attendance of students by recognizing the student's faces from the surveillance video footage of classroom.
facenet_facerecognition
基于facenet的实时人脸识别系统
faceswap
Deepfakes Software For All
FDDB-draw
将FDDB的标注画在数据集的图片上
Keras-FasterRCNN
keras implementation of Faster R-CNN
libfacedetection
An open source library for face detection in images. The face detection speed can reach 1500FPS.
MTCNN-Tensorflow
Reproduce MTCNN using Tensorflow
Object-Tracking
Object Tracking
Object-tracking-system-based-on-deep-learning
Object tracking system based on deep learning. Master-Jetson TX2, ROS-image + control, image (DL) - detection + tracking, control - TurtleBot
opencv
Open Source Computer Vision Library
pyCFTrackers
Python re-implementation of some correlation filter based tracker
pyECO
python implementation of efficient convolution operators for tracking
Real_time_Object_detection_and_tracking
YOLOv2 and MobileNet_SSD detection algorithms used along with KCF object tracker
Soft-NMS
An implement of Soft NMS algorithm in Python
tensorflow-face-detection
A mobilenet SSD based face detector, powered by tensorflow object detection api, trained by WIDERFACE dataset.
tensorflow-MTCNN
人脸检测MTCNN算法，采用tensorflow框架编写，从理解到训练，中文注释完全，含测试和训练，支持摄像头
tf_facenet
facenet人脸检测与识别系统
VehicleManager
对车辆管理、状态管理、审批管理、用户管理、权限管理等。。。。。
yiyi_mtcnn_keras
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。
YoloKerasFaceDetection
Face Detection and Gender and Age Classification using Keras