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jacke121's Projects

kms-activate icon kms-activate

Microsoft Windows/Office 一键激活工具,基于kms.jm33.me的KMS服务器

labelme icon labelme

Image Polygonal Annotation with Python.

lcfcn icon lcfcn

ECCV 2018 - Where are the Blobs: Counting by Localization with Point Supervision

lcnn_train icon lcnn_train

train model of "A Lightened CNN for Deep Face Representation" 人脸识别

lffd-pytorch icon lffd-pytorch

LFFD and SSD based Method implemented by Pytorch for RoboCup Competition.

libfacedetection icon libfacedetection

An open source library for face detection in images. The face detection speed can reach 1500FPS.

libtorch-yolov3 icon libtorch-yolov3

A Libtorch implementation of the YOLO v3 object detection algorithm

lightcnn icon lightcnn

A Light CNN for Deep Face Representation with Noisy Labels, TIFS 2018

liveness_detection icon liveness_detection

Detection of the liveness of a person here we are recognizing that the person is real or fake.

lnsnet icon lnsnet

Pytorch Implementation of LNSNet for Superpixel Segmentation

lodepng icon lodepng

PNG encoder and decoder in C and C++.

lopq icon lopq

Training of Locally Optimized Product Quantization (LOPQ) models for approximate nearest neighbor search of high dimensional data in Python and Spark.

m2det icon m2det

M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network

magiccamera icon magiccamera

Real-time Filter Camera&VideoRecorder And ImageEditor With Face Beauty For Android---包含美颜等40余种实时滤镜相机,可拍照、录像、图片修改

mask_rcnn icon mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

maskinsightface icon maskinsightface

基于人脸关键区域提取的人脸识别(LFW:99.82%+ CFP_FP:98.50%+ AgeDB30:98.25%+)

matrixnet icon matrixnet

PyTorch implementation for MatrixNet object detection architecture.

mediapipe-python-sample icon mediapipe-python-sample

MediaPipeのPythonパッケージのサンプルです。2020/12/11時点でPython実装のある4機能(Hands、Pose、Face Mesh、Holistic)について用意しています。

meta-sr-pytorch icon meta-sr-pytorch

Meta-SR: A Magnification-Arbitrary Network for Super-Resolution (CVPR2019)

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