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algorithm-pattern

算法模板，最科学的刷题方式，最快速的刷题路径，你值得拥有~

caffe-mobilenet-v3

Caffe Implementation of MobileNets V3

classification

face-smoke classification resnet-18 and AlexNet Caffe

codinginterviewchinese2

《剑指Offer》第二版源代码

darknet

Windows and Linux version of Darknet Yolo v4 (v3/v2) Neural Networks for object detection (Tensor Cores are used)

deca

DECA: Detailed Expression Capture and Animation (SIGGRAPH 2021)

emoca_re

Official repository accompanying a CVPR 2022 paper EMOCA: Emotion Driven Monocular Face Capture And Animation. EMOCA takes a single image of a face as input and produces a 3D reconstruction. EMOCA sets the new standard on reconstructing highly emotional images in-the-wild

fairmot

A simple baseline for one-shot multi-object tracking

fairmotvehicle

A fork of FairMNOT used to do vehicle MOT.用于跟踪车辆的多目标跟踪, 自定义数据进行单类别多目标实时跟踪

hrnet_pose_estimation_tensorflow2

A tensorflow2 implementation of HRNet for human pose estimation.

hypervid

开源移动端车型识别 Mobile Plateform Vehicle Identification Model

image-quality-assessment

Convolutional Neural Networks to predict the aesthetic and technical quality of images.

incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

license-plate-detect-recognition-via-deep-neural-networks-accuracy-up-to-99.9

works in real-time with detection and recognition accuracy up to 99.8% for Chinese license plates: 100 ms/plate

mica

MICA - Towards Metrical Reconstruction of Human Faces (ECCV 2022)

mobilenetssdface

Caffe implementation of Mobilenet-SSD face detector (NCS compatible)

occlusion-robust-mofa

transtrack

Multiple-Object Tracking with Transformer

vehicle-car-detection-and-multilabel-classification

使用YOLO_v3_tiny和B-CNN实现街头车辆的检测和车辆属性的多标签识别 Using yolo_v3_tiny to do vehicle or car detection and attribute's multilabel classification or recognize

yolov3-model-pruning

对 YOLOv3 做模型剪枝（network slimming），对于COCO、Udacity、PascalVOC数据集中的车辆检测（因项目需要），模型剪枝后的参数量减少 80%，Infer 的速度达到原来 2 倍，mAP 基本不变

yolox

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported.