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mmdetection_lqy

add mobilenet_v2_ssdlite

model-compression

model compression based on pytorch (1、quantization: 8/4/2bits(dorefa)、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 binary value of feature(A))

mtcnn-caffe

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks

mtcnn_caffe

mtcnn face detection & caffe train

ncnn_106landmarks

face detection: retinaface, landmark: zqcnn, recognize: mobilefacenet, Based on ncnn

object-detection-metrics

Most popular metrics used to evaluate object detection algorithms.

online-realtime-action-recognition-based-on-openpose

A skeleton-based real-time online action recognition project, classifying and recognizing base on framewise joints, which can be used for safety surveilence.

pico

A minimalistic framework for fast object detection (with a pre-trained face detector)

pva-faster-rcnn

Demo code for PVANET

pva-faster-rcnn-1

Demo code for PVANet https://arxiv.org/abs/1611.08588

py-r-fcn

R-FCN with joint training and python support

py-r-fcn-multigpu

Code for training py-faster-rcnn and py-R-FCN on multiple GPUs in caffe

pytorch-ssd

MobileNetV1, MobileNetV2, VGG based SSD/SSD-lite implementation in Pytorch 1.0 / Pytorch 0.4. Out-of-box support for retraining on Open Images dataset. ONNX and Caffe2 support. Experiment Ideas like CoordConv.

pytorch2caffe

Convert PyTorch model to Caffemodel

pytorch_fan

face alignment pytorch training

pytorch_realtime_multi-person_pose_estimation

pytorch_slimming

pytorchtocaffe

Pytorch model to caffe model, supported pytorch 0.3, 0.3.1, 0.4, 0.4.1 ,1.0 , 1.0.1

realtime-action-detection

This repository host the code for real-time action detection paper

realtime-action-recognition

Multi-person real-time recognition (classification) of 9 actions based on human skeleton from OpenPose and a 0.5-second window.

s3fd.pytorch

A higher performance PyTorch implementation of S3FD

softmaxwithloss-ohem

SoftmaxWithLoss+OHEM

ssh_resnet50

taylor_pruning

thrift_demo

thrift_demo includes face detection & face cluster & face feature extraction

thriftlearn

thrift demo

widerface-evaluation

Python Evaluation Code for Wider Face Dataset

yolov3-complete-pruning

提供对YOLOv3及Tiny的多种剪枝版本，以适应不同的需求。

yolov3-model-pruning

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

yolov6

YOLOv6: a single-stage object detection framework dedicated to industrial applications.