zhangjunyi1225054736

--object-detection

-Sample_disequilibrium

ACDT

This is the codes of ICCV workshop paper "How to Fully Exploit The Abilities of Aerial Image Detectors". Our model is based on detectron.pytorch.

AdaptSegNet

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

drone-object-detection

faster_rcnn-opencv_-visualization

A little change has been made to the visual parts of the faster_rcnn (pytorch) version of demo.py. The original code is to use Matplotlib to show every object in one picture in different picture. After the improvement of the opencv, all the object frames are presented in a picture.

FDASS

Few-shot-domain-adaptation

This is the codes of iccv workshop paper "Few-Shot Structured Domain Adaptation for Virtual-to-Real Scene Parsing"

Gradient_descent

题目描述： 1.Generate n = 2,000 points uniformly at random in the two-dimensional unit square.Which point do you expect the centroid to be? 2.What objective does the centroid of the points optimize? 3.Apply gradient descent to find the centroid. 4.Apply stochastic gradient descent to find the centroid. Can you say in simple words,what the algorithm is doing? 1、所谓质心，就是找到到所有点距离之和最小的点。由于点的生成都是随机的，所以期望的点是 : (0.5，0.5)。

PyTorch-YOLOv3

Minimal PyTorch implementation of YOLOv3

zhangjunyi1225054736/FDASS

zhangjunyi1225054736/ACDT

This is the codes of ICCV workshop paper "How to Fully Exploit The Abilities of Aerial Image Detectors". Our model is based on detectron.pytorch.

zhangjunyi1225054736/drone-object-detection

zhangjunyi1225054736/Few-shot-domain-adaptation

This is the codes of iccv workshop paper "Few-Shot Structured Domain Adaptation for Virtual-to-Real Scene Parsing"

zhangjunyi1225054736/Gradient_descent

题目描述： 1.Generate n = 2,000 points uniformly at random in the two-dimensional unit square.Which point do you expect the centroid to be? 2.What objective does the centroid of the points optimize? 3.Apply gradient descent to find the centroid. 4.Apply stochastic gradient descent to find the centroid. Can you say in simple words,what the algorithm is doing? 1、所谓质心，就是找到到所有点距离之和最小的点。由于点的生成都是随机的，所以期望的点是 : (0.5，0.5)。

zhangjunyi1225054736/faster_rcnn-opencv_-visualization

A little change has been made to the visual parts of the faster_rcnn (pytorch) version of demo.py. The original code is to use Matplotlib to show every object in one picture in different picture. After the improvement of the opencv, all the object frames are presented in a picture.

zhangjunyi1225054736/--object-detection

zhangjunyi1225054736/awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

zhangjunyi1225054736/BicycleGAN

[NIPS 2017] Toward Multimodal Image-to-Image Translation

zhangjunyi1225054736/chinese_ocr

CTPN + DenseNet + CTC based end-to-end Chinese OCR implemented using tensorflow and keras

zhangjunyi1225054736/DB

A PyToch implementation of "Real-time Scene Text Detection with Differentiable Binarization".

zhangjunyi1225054736/diffusion-models

A collection of diffusion models based on MindSpore

zhangjunyi1225054736/EAST

Implementation of EAST scene text detector in Keras

zhangjunyi1225054736/Few-shor-domain-adaptation

The code of ICCV workshop paper "Few-Shot Structured Domain Adaptation for Virtual-to-Real Scene Parsing"

zhangjunyi1225054736/FOTS

implement FOTS and apply it on real scenario.

zhangjunyi1225054736/FOTS.pytorch

an unofficial implementation of FOTS: Fast Oriented Text Spotting with a Unified Network

zhangjunyi1225054736/FSDA

zhangjunyi1225054736/FSDAF

zhangjunyi1225054736/ganhacks

starter from "How to Train a GAN?" at NIPS2016

zhangjunyi1225054736/mindformers

zhangjunyi1225054736/mindpet

zhangjunyi1225054736/PAN.pytorch

A unofficial pytorch implementation of PAN(PSENet2): Efficient and Accurate Arbitrary-Shaped Text Detection with Pixel Aggregation Network

zhangjunyi1225054736/PlotNeuralNet

Latex code for making neural networks diagrams

zhangjunyi1225054736/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)

zhangjunyi1225054736/ScanSSD

Scanning Single Shot Detector for Math in Document Images

zhangjunyi1225054736/tensorflow-zh

谷歌全新开源人工智能系统TensorFlow官方文档中文版

zhangjunyi1225054736/text-detection-ctpn

text detection mainly based on ctpn model in tensorflow, id card detect, connectionist text proposal network

zhangjunyi1225054736/TIoU-metric

Tightness-aware Evaluation Protocol for Scene Text Detection (CVPR 2019)

zhangjunyi1225054736/Transformer-OCR

zhangjunyi1225054736/vgg-keras

This is the vgg network