itmsclassifier-caffe

ITMS Classification

kaggle-carvana-3rd-place-solution

3rd place solution ( Carvana Image Masking Challenge )

kaggle_salt_bes_phalanx

Winning solution for the Kaggle TGS Salt Identification Challenge.

kekoxtutorial

전 세계의 멋진 케라스 문서 및 튜토리얼을 한글화하여 케라스x코리아를 널리널리 이롭게합니다.

labelimg

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

lanenet-lane-detection

Unofficial implemention of lanenet model for real time lane detection using deep neural network model https://maybeshewill-cv.github.io/lanenet-lane-detection/

learning-to-see-in-the-dark

Learning to See in the Dark. CVPR 2018

learning_to_see_in_the_dark_pytorch

Learning to See in the Dark in PyTorch

learnopencv

Learn OpenCV : C++ and Python Examples

lidarobstacledetection

Lidar Obstacle Detection

light-condition-style-transfer

lane detection in low-light conditions using an efficient data enhancement

linefittingandcornerdetector

for 2G battery stacker

lowlightimageenhancement

Low Light Image Enhancement

lprnet_pytorch

Pytorch Implementation For LPRNet, A High Performance And Lightweight License Plate Recognition Framework.

mldlusingpython

Machine Learning Deep Learning using Python

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 Onnx and CoreML.

mobilenet-caffe

Caffe Implementation of Google's MobileNets (v1 and v2)

mobilenet-ssd

Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.

mtcnn-pytorch

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks

multiple-object-tracking-lidar

C++ implementation to Detect, track and classify multiple objects using LIDAR scans or point cloud

multitarget-tracker

Multiple Object Tracker, Based on Hungarian algorithm + Kalman filter.

munit

Multimodal Unsupervised Image-to-Image Translation

ncsr

1st place Code for the CVPR2021 workshop paper "Noise Conditional Flow Model for Learning the Super-Resolution Space"

niswgsp

C++ implementation of the ECCV 2016 paper, Natural Image Stitching with the Global Similarity Prior.

noise2noise

Noise2Noise: Learning Image Restoration without Clean Data - Official TensorFlow implementation of the ICML 2018 paper

object_detection_video_dnn_tensorflow_pytorch

Simple implementation of object detection from video using opencv dnn, tensorflow, and pytorch

objectdetection-onestagedet

online-recurrent-extreme-learning-machine

Online-Recurrent-Extreme-Learning-Machine (OR-ELM) for time-series prediction, implemented in python

onn

Online Deep Learning: Learning Deep Neural Networks on the Fly / Non-linear Contextual Bandit Algorithm (ONN_THS)

onnx2caffe

pytorch to caffe by onnx