maoweinuaa's repositories
R-CenterNet
detector for rotated-objections based on CenterNet/基于CenterNet的旋转目标检测
SIUN
Sharp Image Deblurring
Lifespan_Age_Transformation_Synthesis
Lifespan Age Transformation Synthesis code
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/
waifu2x
Image Super-Resolution for Anime-Style Art
federated_object_detection_benchmark_CodeAnalysis
论文《Federated-Benchmark: A Benchmark of Real-world Images Dataset for Federated Learning》客户端服务端通信过程代码详解
darknet
YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )
imgaug
Image augmentation for machine learning experiments.
Awesome-Federated-Learning-1
Federated Learning Library: https://fedml.ai
waifu2x-ncnn-vulkan
waifu2x converter ncnn version, runs fast on intel / amd / nvidia GPU with vulkan
federated-learning
Federated Learning - PyTorch
Pytorch_Retinaface
Retinaface get 80.99% in widerface hard val using mobilenet0.25.
Yolo_mark
GUI for marking bounded boxes of objects in images for training neural network Yolo v3 and v2
Yolo-Fastest
:zap: Yolo universal target detection model combined with EfficientNet-lite, the calculation amount is only 230Mflops(0.23Bflops), and the model size is 1.3MB
age-gender-estimation
Keras implementation of a CNN network for age and gender estimation
SelfDeblur
Neural Blind Deconvolution Using Deep Priors (CVPR 2020)
MobileNetv2-YOLOV3
MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB:fire::fire::fire:
Multi-Camera-Live-Object-Tracking
Multi-camera live traffic and object counting with YOLO v4, Deep SORT, and Flask.
awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
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)
Cartoonface-detection
Base on retinaface and centerface modefied. frame work depend on pytorch.
Federated_object_detection
Federated Learning on object detection
centerNet-deep-sort
realtime multiple people tracking (centerNet based person detector + deep sort algorithm with pytorch)
FaceParsing
EHANet: An effective hierarchical aggregation network for face parsing
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
awesome-federated-learning
resources about federated learning and privacy in machine learning
RFSong-7993
设计的轻量级RFB进行行人检测，AP达到0.7993，参数量仅有3.1MB，200 FPS