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3d_detection

3dcard

centernet

3dfacedeblurring

age-gender-estimate-tf

Face age and gender estimate using TensorFlow

age-gender-estimation

Keras implementation of a CNN network for age and gender estimation

awesome-convolutional-attention-mechanism-papers

The most influential papers in convolutional attention mechanisms, suitable for image classification, image and video object segmentation and tracking

awesome-federated-learning-1

Federated Learning Library: https://fedml.ai

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

cartoonface-detection

Base on retinaface and centerface modefied. frame work depend on pytorch.

centernet-deep-sort

realtime multiple people tracking (centerNet based person detector + deep sort algorithm with pytorch)

darknet

YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )

dbface

DBFace is a real-time, single-stage detector for face detection, with faster speed and higher accuracy

efficientnet-pytorch

A PyTorch implementation of EfficientNet

faceparsing

EHANet: An effective hierarchical aggregation network for face parsing

federated-learning

Federated Learning - PyTorch

federated_object_detection

Federated Learning on object detection

fixres

This repository reproduces the results of the paper: "Fixing the train-test resolution discrepancy" https://arxiv.org/abs/1906.06423

human-object-relation-network

Source Codes for "Human-object Relation Network for Action Recogntion in Still Images"

icme2019-bytedance-grand-challenge

字节跳动短视频内容理解和推荐 Track2 Top8

icme2019_short_video_understanding_challenge_rank14

ICME2019&字节跳动 短视频内容理解与推荐竞赛rank14方案

imgaug

Image augmentation for machine learning experiments.

iqiyi_vid_face

爱奇艺多模态人物识别比赛，排名第四

lanenet-lane-detection

Unofficial implemention of lanenet model for real time lane detection using deep neural network model https://maybeshewill-cv.github.io/lanenet-lane-detection/

lifespan_age_transformation_synthesis

Lifespan Age Transformation Synthesis code

mobile-semantic-segmentation

Real-Time Semantic Segmentation in Mobile device

mobilenetv2-yolov3

MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB:fire::fire::fire:

model-compression

model compression based on pytorch (1、quantization: 16/8/4/2 bits(dorefa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、ternary/binary value(twn/bnn/xnor-net)；2、 pruning: normal、regular and group convolutional channel pruning；3、 group convolution structure；4、batch-normalization folding for quantization)

models

Pre-trained and Reproduced Deep Learning Models （『飞桨』官方模型库，包含多种学术前沿和工业场景验证的深度学习模型）

multi-camera-live-object-tracking

Multi-camera live traffic and object counting with YOLO v4, Deep SORT, and Flask.

ncnn_android_face_vehicle

ncnn在Android的一个测试，包含了人脸检测(face detection)，人脸属性(face attributes)，人脸识别(face recognition)。车辆检测(Vehicle detection)，车牌检测(plate detection)，车牌识别(plate recognition)；人头检测(head detection)的流程