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algo-sift

Implémentation de l'algorithme de Scale-Invariant Feature Transform (SIFT) en python à partir de l'article "Distinctive Image Features from Scale-Invariant Keypoints" de David G. Lowe (January 5, 2004) dans le cadre d'un projet collaboratif en traitement d'image.

darknet

Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection (Tensor Cores are used)

deep_learning_projects

detection-proposals

Evaluation of detection performance, recall, and repeatability of detection proposal algorithms

fast-rcnn

My implementation of Fast-RCNN （tensorflow）

fast-rcnn-1

Fast R-CNN

gsnn_demo

graph search neural network

hog-feature

HOG feature extractor with simple python implementation

keras-yolo3

A Keras implementation of YOLOv3 (Tensorflow backend)

labelimg

:metal: LabelImg is a graphical image annotation tool and label object bounding boxes in images

lightkg

基于Pytorch和torchtext的知识图谱深度学习框架，包含知识表示学习、实体识别与链接、实体关系抽取、事件检测与抽取、知识存储与查询、知识推理六大功能模块，已实现了命名实体识别、关系抽取、事件抽取、表示学习等功能。框架功能丰富，开箱可用，极易上手！基本都是学习他人实现然后自己修改融合到框架中，没有细致调参，且有不少Bug～

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

rcnn

R-CNN: Regions with Convolutional Neural Network Features

simple-faster-rcnn-pytorch

A simplified implemention of Faster R-CNN that replicate performance from origin paper

ssd-tensorflow

Single Shot MultiBox Detector in TensorFlow

tensorflow

《深度学习原理与TensorFlow实践》；小象

yolo-lite

All the trained models used while developing YOLO-LITE

yolov3

YOLOv3 in PyTorch > ONNX > CoreML > iOS