hualuluu Goto Github PK

--every-day-paper--

-paper-

爱可可老师一周论文归纳

augment

caffe

Caffe: a fast open framework for deep learning.

caffe-mobilenet-v3

Caffe Implementation of MobileNets V3

caffe-mobilenet_v2

caffe based mobilenet v2 deploy

caffe-windows

Configure Caffe in one hour for Windows users.

classification

pytorch tool to classification

cv-backbones

GhostNet: More Features from Cheap Operations

deeplearning.ai-notes

吴恩达《深度学习》学习笔记(xmind)、作业代码、代码视频讲解

dense_flow

Tools to extract dense optical flow from videos, based on OpenCV

densenet-caffe

DenseNet Caffe Models, converted from https://github.com/liuzhuang13/DenseNet

densenet-pytorch

A PyTorch Implementation for Densely Connected Convolutional Networks (DenseNets)

efficientnetb0-yolo

efficientNetB0-yolo to caffe

fast-rcnn

Fast R-CNN

gaussian-yolov3-detection-caffe

ghost-yolo

.cfg文件

hualuluu.github.io

iccv19_attribute

Code for the paper "Improving Pedestrian Attribute Recognition With Weakly-Supervised Multi-Scale Attribute-Specific Localization", ICCV 2019, http://arxiv.org/abs/1910.04562.

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

leetcoe

long-tailed-recognition.pytorch

[NeurIPS 2020] This project provides a strong single-stage baseline for Long-Tailed Classification, Detection, and Instance Segmentation (LVIS). It is also a PyTorch implementation of the NeurIPS 2020 paper 'Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect'.

mmaction

An open-source toolbox for action understanding based on PyTorch

mobilenet_caffe

nanodet

⚡Super fast and lightweight anchor-free object detection model. 🔥Only 1.8MB and run 97FPS on cellphone🔥

nanodet-opncv-dnn-cpp-python

用opencv部署nanodet目标检测，包含C++和python两种版本程序的实现

nanodet_openvino

手把手教你OpenVINO下部署NanoDet模型，intel i7-7700HQ CPU实测6ms一帧

opencv

Open Source Computer Vision Library

pelee

Pelee: A Real-Time Object Detection System on Mobile Devices

pelee.pytorch

Pelee implement with pytorch