Pinned Repositories
bts-fully-tf
From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation: A fully tensorflow implementation for bts-v1.
bts-fully-tf-v2
From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation
Computer-Vision-IO
This python package, Computer Vision I/O which is knwon as cv_io, is a collection of existing python scripts which provides a set of I/O functions for normal and irregular image formats in computer vision.
homeworks-repo
Few examples of homework and projects during Master and P.hD. study.
Natural-Gas-Price-Prediction
This software package models and predicts the natural gas price in different ways. It could be used for any price modeling and prediction with small changes.
Parallel-Tridiagonal-System
Solve tridiagonal system of equation in parallel
PSMNet
Pyramid Stereo Matching Network (CVPR2018)
Simple-Image-Viewer
This image viewer, in addition to standard formats, supports non-standard floating point images which are widely used in computer vision applications including optical flow, disparity, and depth formats.
Tesla-Autopilot-Challenge
This is a solution for a challeng from a Tesla Autopilot team under Dr. Andrej Karpathy leadership. The next section is problem statement and the following part is my solution for this problem.
Traffic-Tracker
This is a rough estimation of a traffic flow using OpenCV library. It was tested by Python 3.9 and OpenCV 4.5.1.
saeid-h's Repositories
saeid-h/bts-fully-tf
From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation: A fully tensorflow implementation for bts-v1.
saeid-h/homeworks-repo
Few examples of homework and projects during Master and P.hD. study.
saeid-h/bts-fully-tf-v2
From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation
saeid-h/Computer-Vision-IO
This python package, Computer Vision I/O which is knwon as cv_io, is a collection of existing python scripts which provides a set of I/O functions for normal and irregular image formats in computer vision.
saeid-h/PSMNet
Pyramid Stereo Matching Network (CVPR2018)
saeid-h/Simple-Image-Viewer
This image viewer, in addition to standard formats, supports non-standard floating point images which are widely used in computer vision applications including optical flow, disparity, and depth formats.
saeid-h/Tesla-Autopilot-Challenge
This is a solution for a challeng from a Tesla Autopilot team under Dr. Andrej Karpathy leadership. The next section is problem statement and the following part is my solution for this problem.
saeid-h/Traffic-Tracker
This is a rough estimation of a traffic flow using OpenCV library. It was tested by Python 3.9 and OpenCV 4.5.1.
saeid-h/caffe-tensorflow
Caffe models in TensorFlow
saeid-h/cityscapesScripts
README and scripts for the Cityscapes Dataset
saeid-h/CS583A-2019Spring
saeid-h/cv
:mortar_board: Best in Class modern CV, Resume and Portfolio website template. All-in-One-Page site with simple and fully customizable builder.
saeid-h/CVPR2020-Paper-Code-Interpretation
cvpr2020/cvpr2019／cvpr2018/cvpr2017 papers，极市团队整理
saeid-h/DenseMatchingBenchmark
Dense Matching Benchmark
saeid-h/Displacement-Field-FGBG
saeid-h/DiyHeliumHotspots
Here is a guide to build your own hotspots!
saeid-h/git
Git Source Code Mirror - This is a publish-only repository and all pull requests are ignored. Please follow Documentation/SubmittingPatches procedure for any of your improvements.
saeid-h/gitignore
A collection of useful .gitignore templates
saeid-h/GLR
We propose the General Label Refiner (GLR), which is a unified approach for refining a dense label map in both discrete and continuous pixel-wise label estimation problems in computer vision.
saeid-h/GwcNet
Group-wise Correlation Stereo Network, CVPR 2019
saeid-h/habitat-sim
A flexible, high-performance 3D simulator for Embodied AI research.
saeid-h/ISA-OU
Iranian Student Association at University of Oklahoma
saeid-h/Latex-Slides
saeid-h/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.
saeid-h/PFNN
Phase-Functioned Neural Networks for Character Control
saeid-h/PlotNeuralNet
Latex code for making neural networks diagrams
saeid-h/PSPNet
Pyramid Scene Parsing Network, CVPR2017.
saeid-h/pytorch3d
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
saeid-h/SharpNet-FGBG
saeid-h/VNL-FGBG