jaspermorrison Goto Github PK

centernet-grad-cam

Object detection, 3D detection, and pose estimation using center point detection:

cocos2dx-2048

a copy from the "百度传课" teaching vedio & update by myself

design_pattern

detection_util_scripts

TF and YOLO utility scripts

easytranslate

fileexplorer

MIUI文件管理器社区开源版（Community edition of MIUI File Explorer)

gaohaoyang.github.io

blog & blog theme🤘

hrnet-semantic-segmentation

The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

ip-monitor

CSDN博客

lihang_book_algorithm

致力于将李航博士《统计学习方法》一书中所有算法实现一遍

makefile-c-example

A Makefile project example for C/C++，contains common techniques.

modanet

ModaNet: A large-scale street fashion dataset with polygon annotations

myblog

The website of this blog

onnxtocaffe

pytorch -> onnx -> caffe, pytorch to caffe, or other deep learning framework to onnx and onnx to caffe.

pytorch-cifar100

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

pytorchtocaffe

Pytorch model to caffe model, supported pytorch 0.3, 0.3.1, 0.4, 0.4.1 ,1.0 , 1.0.1 , 1.2 ,1.3 .notice that only pytorch 1.1 have some bugs

rooster

Simple android xmpp chat client source code for tutorial http://www.blikoontech.com/tutorials/android-smack-xmpp-introductionbuilding-a-simple-client

routetofcmplugin

Plugin which routes the open fire xmpp messages to AWS or FCM when user goes offline

text-classification-cnn-rnn

CNN-RNN中文文本分类，基于TensorFlow

vpn-reverse-tether

VPN-based USB "reverse tether"

yolov5-grad-cam

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

yolox

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/