maxuehao

.... ....

Beijing

Pinned Repositories

arcface-caffe
insightface-caffe
Language:C++4 1 04
AutoKeras
This is an example of using AutoKeras on image classification issues.
Language:Python5 1 11
autokeras-1
accessible AutoML for deep learning.
Language:Python1 1 00
caffe
Add yolov3 upsampler layer
Language:C++7 1 05
cocodata_yolo_train
coco2017数据集官方json标签文件转yolo训练的txt标签文件
Language:Python13 1 08
Dynamic-Face-Recognition
Deep learning,Face recognition algorithm based on Mobilenet and Mtcnn(LFW 99.1%, Mobilenet-based face recognition model is superior to the accuracy of the original centerloss paper)
Language:C++12 2 03
Re3
Re 3 : Real-Time Recurrent Regression Networks for Visual Tracking of Generic Objects(Be based on caffe)
Language:Python3 1 10
Smokeing-detection
smoking-detection for caffe
Language:Python17 2 39
YOLOV3
The realization of yolov3 target detection based on Caffe and the optimization of target detection effect based on klaman multi-target tracking(base on caffe)
Language:Python8 1 27
YOLOV3-Detection
PyCaffe object detection (Based on YOLOV3)
Language:Python11 1 03

maxuehao's Repositories

maxuehao/cocodata_yolo_train
coco2017数据集官方json标签文件转yolo训练的txt标签文件
Language:Python13 1 08
maxuehao/Dynamic-Face-Recognition
Deep learning,Face recognition algorithm based on Mobilenet and Mtcnn(LFW 99.1%, Mobilenet-based face recognition model is superior to the accuracy of the original centerloss paper)
Language:C++12 2 03
maxuehao/YOLOV3-Detection
PyCaffe object detection (Based on YOLOV3)
Language:Python11 1 03
maxuehao/caffe
Add yolov3 upsampler layer
Language:C++7 1 05
maxuehao/AutoKeras
This is an example of using AutoKeras on image classification issues.
Language:Python5 1 11
maxuehao/arcface-caffe
insightface-caffe
Language:C++4 1 04
maxuehao/autokeras-1
accessible AutoML for deep learning.
Language:Python1 1 00
maxuehao/py_Lstm
Lstm前推底层运算
Language:Python1 1 0
maxuehao/caffe-mobilenet-v3
Caffe Implementation of MobileNets V3
1 0
maxuehao/CrossStagePartialNetworks
Cross Stage Partial Networks
Language:Shell1 0
maxuehao/darknet
Convolutional Neural Networks
Language:C1 0
maxuehao/darknet_face_with_landmark
加入关键点的darknet训练框架，轻量级的人脸检测，支持ncnn推理
Language:C1 0
maxuehao/DenseNet-Caffe
DenseNet Caffe Models, converted from https://github.com/liuzhuang13/DenseNet
1 0
maxuehao/Face-Detector-1MB-with-landmark
1M人脸检测模型(含关键点)
Language:Python1 0
maxuehao/FastestDet
:zap: A newly designed ultra lightweight anchor free target detection algorithm， weight only 250K parameters， reduces the time consumption by 30% compared with yolo-fastest, and the post-processing is simpler
Language:Python0 0
maxuehao/flashcache
A general purpose, write-back block cache for Linux.
Language:C1 0
maxuehao/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
Language:C++1 0
maxuehao/insightface
Face Analysis Project on MXNet
Language:Python1 0
maxuehao/MobileFace
A face recognition solution on mobile device.
Language:Python1 01
maxuehao/MobileNet-Caffe
Caffe Implementation of Google's MobileNets (v1 and v2)
Language:Python1 0
maxuehao/MobileNet-SSD
Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.
Language:Python1 0
maxuehao/MobileNetv2-YOLOV3
MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops500KB:fire::fire::fire:
Language:C1 0
maxuehao/ncnn
ncnn is a high-performance neural network inference framework optimized for the mobile platform
Language:C++1 0
maxuehao/openpose
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
Language:C++1 0
maxuehao/SqueezeNet-Residual
residual-SqueezeNet
Language:CSS1 0
maxuehao/TensorRT
TensorRT is a C++ library for high performance inference on NVIDIA GPUs and deep learning accelerators.
Language:C++1 0
maxuehao/Ultra-Light-Fast-Generic-Face-Detector-1MB
💎1MB lightweight face detection model (1MB轻量级人脸检测模型)
Language:Python1 0
maxuehao/Ultralight-SimplePose
Ultra-lightweight human body posture key point CNN model. ModelSize:2.3MB HUAWEI P40 NCNN benchmark: 6ms/img,
Language:Python1 0
maxuehao/Yolo-Fastest
:zap: Combined with the attention mechanism yolo universal target detection model, the calculation amount is only 250Mflops(0.25Bflops), and the model size is 1.8MB
Language:C1 0
maxuehao/YOLO-Multi-Backbones-Attention
Model Compression—YOLOv3 with multi lightweight backbones(ShuffleNetV2 HuaWei GhostNet), attention, prune and quantization
Language:Python1 0