121 Open source projects that are alternatives of or similar to BridgeDepthFlow

Multi-view stereo image-based 3D reconstruction

Geometry meets semantics for semi-supervised monocular depth estimation - ACCV 2018

[ICCV 2019] Monocular depth estimation from a single image

Tensorflow implementation(unofficial) of "Digging into Self-Supervised Monocular Depth Prediction"

[ICCV 2021] Excavating the Potential Capacity of Self-Supervised Monocular Depth Estimation

Python scripts form performing stereo depth estimation using the HITNET model in ONNX.

Every Pixel Counts ++: Joint Learning of Geometry and Motion with 3D Holistic Understanding

Code for: "Learning To Adapt For Stereo" accepted at CVPR2019

DIODE Development Toolkit

Python framework for short-term ensemble prediction systems.

Optical Flow Dataset and Benchmark for Visual Crowd Analysis

Collection of papers, datasets, code and other resources for object tracking and detection using deep learning

Caffe implementation for "Hidden Two-Stream Convolutional Networks for Action Recognition"

Extract TVL1 optical flows in python (multi-process && multi-server)

Frame-Recurrent Video Super-Resolution (official repository)

Self-Supervised Depth Estimation on Monocular Sequences

Easily convert RGB video data (e.g. .avi) to the TensorFlow tfrecords file format for training e.g. a NN in TensorFlow. This implementation allows to limit the number of frames per video to be stored in the tfrecords.

OpenMMLab optical flow toolbox and benchmark

Repository for different network models related to flow/disparity (ECCV 18)

Volumetric Correspondence Networks for Optical Flow, NeurIPS 2019.

Attacking Optical Flow (ICCV 2019)

Pure Pytorch implementation of Correlation Layer that commonly used in learning based optical flow estimator

Semi-Global Matching

Unsupervised Learning of Multi-Frame Optical Flow with Occlusions

🎮 [IJCAI'20][ICLR'19 Workshop] Flow-based Intrinsic Curiosity Module. Playing SuperMario with RL agent and FICM!

[CVPR 2020, Oral] MaskFlownet: Asymmetric Feature Matching with Learnable Occlusion Mask

Dockerfile and runscripts for DispNet and FlowNet1 (estimation of disparity and optical flow)

ROS-based framework and RPi image to control PX4-powered drones 🍀

Official repository of Learning Multi-Human Optical Flow (IJCV 2019)

Attention-Aware Feature Aggregation for Real-time Stereo Matching on Edge Devices (ACCV, 2020)

Spatial Pyramid Network for Optical Flow

Python ROS depth estimation from RGB image based on code from the paper "High Quality Monocular Depth Estimation via Transfer Learning"

Semi-Supervised Video Object Segmentation (VOS) with Tensorflow. Includes implementation of *MaskRNN: Instance Level Video Object Segmentation (NIPS 2017)* as part of the NIPS Paper Implementation Challenge.

Perform stereo matching algorithm using Direct 3D (level 9.3) on a mobile device without CUDA support.

Dockerfile and runscripts for FlowNet 2.0 (estimation of optical flow)

Code for "Reversing the cycle: self-supervised deep stereo through enhanced monocular distillation"

The official PyTorch implementation of the paper "Learning by Analogy: Reliable Supervision from Transformations for Unsupervised Optical Flow Estimation".

ROS Error-State Kalman Filter based on PX4/ecl. Performs GPS/Magnetometer/Vision Pose/Optical Flow/RangeFinder fusion with IMU

Dense Matching Benchmark

Image based obstacle avoidance using optical flow

pytorch implementation of "PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume"

Pytorch implementation for stereo matching described in the paper: Efficient Deep learning for stereo matching

DDFlow: Learning Optical Flow with Unlabeled Data Distillation

[MICCAI'18] Joint Learning of Motion Estimation and Segmentation for Cardiac MR Image Sequences

The py version of toflow → https://github.com/anchen1011/toflow

Extract video features from raw videos using multiple GPUs. We support RAFT and PWC flow frames as well as S3D, I3D, R(2+1)D, VGGish, CLIP, ResNet features.

PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume, CVPR 2018 (Oral)

UnFlow: Unsupervised Learning of Optical Flow with a Bidirectional Census Loss

PyTrx is a Python object-oriented programme created for the purpose of calculating real-world measurements from oblique images and time-lapse image series. Its primary purpose is to obtain velocities, surface areas, and distances from oblique, optical imagery of glacial environments.

Unsupervised Learning for Image Registration

Depth and Flow for Visual Odometry

Optical Flow estimation in pure Python

Example code for the ADNS-3080 optical flow sensor

Python-based optical flow toolkit for existing popular dataset

An implementation of several tracking algorithms based on Lucas Kanade algorithms

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

[ICCV 2021 Oral] High-Resolution Optical Flow from 1D Attention and Correlation

A Lightweight Optical Flow CNN - Revisiting Data Fidelity and Regularization, TPAMI 2020

Video++, a C++14 high performance video and image processing library.

Dual CNN Models for Unsupervised Monocular Depth Estimation