yingmuying's repositories
awesome-lane-detection
A paper list of lane detection.
cars_type_recog-area_detect-create_new
AlexNet RCNN & other NN(some from https://github.com/ChenJoya/Vehicle_Detection_Recognition )
CLPR.pytorch
End to End Chinese License Plate Recognition
darknet2caffe_yolov3
a tool of converting darknet yolov3 model to caffe
EfficientNet-PyTorch
A PyTorch implementation of EfficientNet
efficientnet-pytorch-1
PyTorch implementation of "EfficientNet", ICML 2019
EfficientNets-PyTorch
A PyTorch implementation of " EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks."
faster-rcnn.pytorch
A faster pytorch implementation of faster r-cnn
FCHD-Fully-Convolutional-Head-Detector
Code for FCHD - A fast and accurate head detector
HyperLPR
基于深度学习高性能中文车牌识别 High Performance Chinese License Plate Recognition Framework.
labelImg2easydl
labelImg标记文件导入easydl工具
LaneDetection_End2End
End-to-end Lane Detection for Self-Driving Cars
lanenet-lane-detection
Implemention of lanenet model for real time lane detection using deep neural network model https://maybeshewill-cv.github.io/lanenet-lane-detection/
LPRNet_Pytorch
Pytorch Implementation For LPRNet, A High Performance And Lightweight License Plate Recognition Framework.
MobileNet-YOLO
A caffe implementation of MobileNet-YOLO detection network
openpose
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
rpg_public_dronet
Code for the paper Dronet: Learning to Fly by Driving
second.pytorch
SECOND for KITTI/NuScenes object detection
speech-emotion-recognition
speech emotion recognition using a convolutional recurrent networks based on IEMOCAP
Speech-Emotion-Recognition-2
Speech emotion recognition using LSTM, SVM and MLP | 语音情感识别
Synonyms
中文近义词工具包
tensorflow-open_nsfw
Tensorflow Implementation of Yahoo's Open NSFW Model
Tensorflow-TensorRT
This repository is for my YT video series about optimizing a Tensorflow deep learning model using TensorRT. We demonstrate optimizing LeNet-like model and YOLOv3 model, and get 3.7x and 1.5x faster for the former and the latter, respectively, compared to the original models.
TensorRT-Yolov3
TensorRT for Yolov3
tpu
Reference models and tools for Cloud TPUs.
yoloRT
DeepZS DAC-SDC 2019 program
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