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awesome-computer-vision

A curated list of awesome computer vision resources

bicubic-interpolation-image-processing

Automatically exported from code.google.com/p/bicubic-interpolation-image-processing

cfnet

(CVPR'17) Training a Correlation Filter end-to-end allows lightweight networks of 2 layers (600 kB) to achieve state-of-the-art performance in tracking, at high-speed.

chalearn2017

Code for ChaLearn 2017 competition

chalearn2017_continuous_gesture

chalearn2017_isolated_gesture

competitionii_targetstriking

Codes for searching the blue/red circle and recognizing the target T and F

cyclegan

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

darknet

Convolutional Neural Networks

darknet-ameliorate

be a better darknet, especially for yolo

darknetv3-4points

regression 4points in yolo framework

deep_learning_object_detection

A paper list of object detection using deep learning.

deeplearningframeworks

Demo of running NNs across different frameworks

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

diou-darknet

Distance-IoU Loss into YOLO v3

dirent

C/C++ library for retrieving information on files and directories

dragon

Dragon: A Computation Graph Virtual Machine Based Deep Learning Framework

drbox

A deep learning based algorithm to detect rotated object, for example, objects in remote sensing images

dukemtmc-reid_evaluation

ICCV2017 The Person re-ID Evaluation Code for DukeMTMC-reID Dataset (Including Dataset Download)

eng-practices

Google's Engineering Practices documentation

faster-rcnn-rgbd-streams

free-programming-books

:books: Freely available programming books

gluon-cv

Gluon CV Toolkit

iso_code

Code for ChaLearn 2017 iso recognition competition

jetsontfbuild

Assistance script to build TensorFlow on an NVIDIA Jetson Module

keras-yolo3

A Keras implementation of YOLOv3 (Tensorflow backend)

mmdnn

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch and CoreML.

models

Models and examples built with TensorFlow

netron

Visualizer for neural network, deep learning and machine learning models

objectdetectionimbalance

Lists the papers related to imbalance problems in object detection