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pretrained

this respository contains some detection pretrained model of coco2017, but it maybe not a sota

py_cfar

Vessel Detection in Synthetic Aperture Radar(SAR) Images

python-100-days

Python - 100天从新手到大师

pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

pytorch-deeplab-xception

DeepLab v3+ model in PyTorch. Support different backbones.

pytorch-summary

Model summary in PyTorch similar to `model.summary()` in Keras

pytorch-yolo2

Convert https://pjreddie.com/darknet/yolo/ into pytorch

pytorch_classification

参考https://github.com/spytensor/pytorch_img_classification_for_competition

pytorch_img_classification_for_competition

use pytorch to do image classification

pytorch_modules

A neural network toolkit built on pytorch/opencv/numpy that includes neural network layers, modules, loss functions, optimizers, data loaders, data augmentation, etc.

pytorch_practice

尝试目标检测、分类网络代码复现

pytorch_yolov3

Implementation of YOLOv3 in PyTorch

pytorch_yolov4

PyTorch implementation of YOLOv4

r-dfpn_fpn_tensorflow

R-DFPN: Rotation Dense Feature Pyramid Networks (Tensorflow)

r-fcn_tensorflow

r2cnn-plus-plus_tensorflow

This is a tensorflow implementation of R2CNN++: Multi-Dimensional Attention Based Rotation Invariant Detector with Robust Anchor Strategy.

r2cnn_faster-rcnn_tensorflow

Rotational region detection based on Faster-RCNN.

r2cnn_fpn_tensorflow

R2CNN: Rotational Region CNN Based on Faster RCNN & FPN

r2cnn_fpn_tensorflow-1

R2CNN: Rotational Region CNN Based on FPN (Tensorflow)

rcnn

The Tensorflow with tflearn implementation of the RCNN model.

rebar-detection-competition

simple rebar detection competition https://www.datafountain.cn/competitions/332/details

rebar_detect

CCFDF rebar detection

reid-baseline

reid-strong-baseline

Bag of Tricks and A Strong Baseline for Deep Person Re-identification

reid_baseline_with_syncbn

Reimplementation of Bag of Tricks and A Strong Baseline for Deep Person Re-identification

remote_sensing_object_detection_2019

2019年遥感图像稀疏表征与智能分析竞赛-初赛排名26/605

retinanet_tensorflow

Focal Loss for Dense Object Detection.

retinanet_tensorflow_rotation

Focal Loss for Dense Rotation Object Detection

rotatable_yolov3

A rotatable yolov3 model which can regress the angle of the bounding box

rotation-yolov5

rotation detection based on yolov5