ilpapds

ilpapds's Stars

• ashishpatel26/Tools-to-Design-or-Visualize-Architecture-of-Neural-Network

  Tools to Design or Visualize Architecture of Neural Network

  4.6k697582

• meetps/pytorch-semseg

  Semantic Segmentation Architectures Implemented in PyTorch

  Language:Python3.4k106222792

• cfzd/Ultra-Fast-Lane-Detection

  Ultra Fast Structure-aware Deep Lane Detection (ECCV 2020)

  Language:Python1.8k27366498

• bentrevett/pytorch-image-classification

  Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

  Language:Jupyter Notebook9891814247

• xiaoyufenfei/Efficient-Segmentation-Networks

  Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)

  Language:Python9342024164

• aurora95/Keras-FCN

  Keras-tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation（Unfinished）

  Language:Python6503576267

• Turoad/lanedet

  An open source lane detection toolbox based on PyTorch, including SCNN, RESA, UFLD, LaneATT, CondLane, etc.

  Language:Python581138994

• wpf535236337/real-time-network

  real-time network architecture for mobile devices and semantic segmentation

  39934284

• hellojialee/Traffic_Sign_Recognition_Efficient_CNNs

  A repository for the paper "Real-Time Traffic Sign Recognition Based on Efficient CNNs in the Wild"

  Language:Jupyter Notebook14071455

• wuyang0329/unet

  this is a simple demo for image segmentation.----unet网络进行语义分割的demo，用的数据集是KITTI

  Language:Python9843538

• jaeoh2/Road-Lane-Instance-Segmentation-PyTorch

  tuSimple dataset road lane instance segmentation with PyTorch, ROS, ENet, SegNet and Discriminative Loss.

  Language:Jupyter Notebook904820

• javaidnabi31/Multi-class-with-imbalanced-dataset-classification

  Multi-class with imbalanced dataset classification

  Language:Jupyter Notebook844179

• Blaizzy/BiSeNet-Implementation

  Here is a tutorial on how to implement a research Paper with Keras

  Language:Jupyter Notebook433331

• Shathe/Semantic-Segmentation-Tensorflow-Eager

  An example of semantic segmentation using tensorflow in eager execution.

  Language:Python263123

• anubhavparas/lucas-kanade-tracker

  Implementation of Lucas-Kanade tracker algorithm to track a moving car, face of a baby and running Usain Bolt

  Language:Python25216

• Stephenfang51/YOLOP-TensorRT

  unofficial implementation of YOLOP TensorRT

  Language:C++13332

• haithamkhedr/Semantic-Segmentation

  Semantic Segmentation using FCN on KITTI road dataset

  Language:Jupyter Notebook5212

• QtacierP/UOD

  Language:Python3200

• BonJovi1/Optical-Flow

  Implementing the Lucas Kanade algorithm to compute the optical flow between images and using it to detect, segment and track objects in videos.

  Language:Jupyter Notebook2202

• anudeepsekhar/Lane-Detection-Pytorch

  Language:Jupyter Notebook10

• duyguse/Traffic-Sign-Detection-YOLOv4

  Language:Jupyter Notebook1

• ilpapds/SignalProcessing

  Experiments performed to analyse the CNN on the CWRU data set.

  Language:Jupyter Notebook1000

• namk12/OpticalFlow

  Comparing Optical Flow using Lucas Kanade and Horn Schunck Method

  Language:Jupyter Notebook1201

• siddharthchd/Optical-Flow

  Optical Flow using Lucas Kanade and Horn Shunck methods

  Language:Jupyter Notebook1201