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fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

fcn_caffe_cpp_forward

fcn_caffe_cpp_forward

fcn_voc_32s

Source code to implement FCN voc-fcn32s.

fcnn-test

focalloss

Caffe implementation of FAIR paper "Focal Loss for Dense Object Detection" for SSD.

fpn

Feature Pyramid Networks for Object Detection

frcnn

Faster R-CNN / R-FCN :bulb: C++ version based on Caffe

frcnn-caffe

frcnn_c-version

FRCNN的工程实现，对一些细节进行了更新

frcnn_git

Faster R-CNN implementation for rotated boxes

frp

A fast reverse proxy to help you expose a local server behind a NAT or firewall to the internet.

fruit-images-dataset

Fruits-360: A dataset of images containing fruits and vegetables

githubdaily

GitHubDaily 分享内容定期整理与分类。欢迎推荐、自荐项目，让更多人知道你的项目。

hi3559a

海思3559A开发

hisi_sdk_develop

hourglass-facekeypoints-detection

face keypoints deteciton based on stackedhourglass

hrnet-object-detection

Object detection with multi-level representations generated from deep high-resolution representation learning (HRNetV2h).

hyperlabelimg

开源可视化图像标注工具(支持人脸关键点/不规则四边形/多边形标注)

image_segmentation

pytorch Implementation of U-Net, R2U-Net, Attention U-Net, Attention R2U-Net.

imagelabel

图像标注工具 Image Label Tool

installcaffejtx2

Install Caffe on the NVIDIA Jetson TX2 Development Kit

labelme

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

labelme-1

A image annotation software for 2D or 3D images

learning-opencv-3_examples

license-plate-detect-recognition-via-deep-neural-networks-accuracy-up-to-99.9

works in real-time with detection and recognition accuracy up to 99.8% for Chinese license plates: 100 ms/plate

lvm-med

Release LMV-Med pre-trained models

mangoct

This is c++ code for CT reconstruction algorithm.

mask-faster-rcnn

Mask R-CNN

mask-rcnn

Implementation of Mask-RCNN in Caffe https://arxiv.org/pdf/1703.06870.pdf

mask-rcnn-1

A PyTorch implementation of the architecture of Mask RCNN, serves as an introduction to working with PyTorch