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

Overview

TFLite-HITNET-Stereo-depth-estimation

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

Hitnet stereo depth estimation TFLite Stereo depth estimation on the cones images from the Middlebury dataset (https://vision.middlebury.edu/stereo/data/scenes2003/)

Requirements

  • OpenCV, imread-from-url and tensorflow==2.6.0 or tflite_runtime. Also, pafy and youtube-dl are required for youtube video inference.

Installation

pip install -r requirements.txt
pip install pafy youtube-dl

For the tflite runtime, you can either use tensorflow(make sure it is version 2.6.0 or above) pip install tensorflow==2.6.0 or the TensorFlow Runtime binary

Known issues

In computers with a GPU, the program would silently creash without any error during the inference, os.environ["CUDA_VISIBLE_DEVICES"]="-1" is added at the beginning of the script to force the program to run on the CPU. You can comment this line for other types of devices.

tflite model

The original models were converted to different formats (including .tflite) by PINTO0309, download the models from his repository and save them into the models folder.

Original Tensorflow model

The Tensorflow pretrained model was taken from the original repository.

Examples

  • Image inference:
python imageDepthEstimation.py 
  • Video inference:
python videoDepthEstimation.py
  • DrivingStereo dataset inference:
python drivingStereoTest.py

Pytorch inference

For performing the inference in Tensorflow, check my other repository HITNET Stereo Depth estimation.

ONNX inference

For performing the inference in ONNX, check my other repository ONNX HITNET Stereo Depth estimation.

Inference video Example Raspberry Pi 4

Hitnet stereo depth estimation on video Raspberry Pi 4

References:

Owner
Ibai Gorordo
Passionate about sensors, technology and their potential to help people.
Ibai Gorordo
This is the official repository for our paper: ''Pruning Self-attentions into Convolutional Layers in Single Path''.

Pruning Self-attentions into Convolutional Layers in Single Path This is the official repository for our paper: Pruning Self-attentions into Convoluti

Zhuang AI Group 77 Dec 26, 2022
Open CV - Convert a picture to look like a cartoon sketch in python

Use the video https://www.youtube.com/watch?v=k7cVPGpnels for initial learning.

Sammith S Bharadwaj 3 Jan 29, 2022
PaRT: Parallel Learning for Robust and Transparent AI

PaRT: Parallel Learning for Robust and Transparent AI This repository contains the code for PaRT, an algorithm for training a base network on multiple

Mahsa 0 May 02, 2022
My solutions for Stanford University course CS224W: Machine Learning with Graphs Fall 2021 colabs (GNN, GAT, GraphSAGE, GCN)

machine-learning-with-graphs My solutions for Stanford University course CS224W: Machine Learning with Graphs Fall 2021 colabs Course materials can be

Marko Njegomir 7 Dec 14, 2022
A simple program for training and testing vit

Vit This is a simple program for training and testing vit. Key requirements: torch, torchvision and timm. Dataset I put 5 categories of the cub classi

xiezhenyu 2 Oct 11, 2022
A unified framework for machine learning with time series

Welcome to sktime A unified framework for machine learning with time series We provide specialized time series algorithms and scikit-learn compatible

The Alan Turing Institute 6k Jan 08, 2023
Neon-erc20-example - Example of creating SPL token and wrapping it with ERC20 interface in Neon EVM

Example of wrapping SPL token by ERC2-20 interface in Neon Requirements Install

7 Mar 28, 2022
SimpleDepthEstimation - An unified codebase for NN-based monocular depth estimation methods

SimpleDepthEstimation Introduction This is an unified codebase for NN-based monocular depth estimation methods, the framework is based on detectron2 (

8 Dec 13, 2022
Audio-Visual Generalized Few-Shot Learning with Prototype-Based Co-Adaptation

Audio-Visual Generalized Few-Shot Learning with Prototype-Based Co-Adaptation The code repository for "Audio-Visual Generalized Few-Shot Learning with

Kaiaicy 3 Jun 27, 2022
Feed forward VQGAN-CLIP model, where the goal is to eliminate the need for optimizing the latent space of VQGAN for each input prompt

Feed forward VQGAN-CLIP model, where the goal is to eliminate the need for optimizing the latent space of VQGAN for each input prompt. This is done by

Mehdi Cherti 135 Dec 30, 2022
An end-to-end machine learning library to directly optimize AUC loss

LibAUC An end-to-end machine learning library for AUC optimization. Why LibAUC? Deep AUC Maximization (DAM) is a paradigm for learning a deep neural n

Andrew 75 Dec 12, 2022
Fluency ENhanced Sentence-bert Evaluation (FENSE), metric for audio caption evaluation. And Benchmark dataset AudioCaps-Eval, Clotho-Eval.

FENSE The metric, Fluency ENhanced Sentence-bert Evaluation (FENSE), for audio caption evaluation, proposed in the paper "Can Audio Captions Be Evalua

Zhiling Zhang 13 Dec 23, 2022
Code accompanying the paper on "An Empirical Investigation of Domain Generalization with Empirical Risk Minimizers" published at NeurIPS, 2021

Code for "An Empirical Investigation of Domian Generalization with Empirical Risk Minimizers" (NeurIPS 2021) Motivation and Introduction Domain Genera

Meta Research 15 Dec 27, 2022
a project for 3D multi-object tracking

a project for 3D multi-object tracking

155 Jan 04, 2023
MDETR: Modulated Detection for End-to-End Multi-Modal Understanding

MDETR: Modulated Detection for End-to-End Multi-Modal Understanding Website • Colab • Paper This repository contains code and links to pre-trained mod

Aishwarya Kamath 770 Dec 28, 2022
Attentive Implicit Representation Networks (AIR-Nets)

Attentive Implicit Representation Networks (AIR-Nets) Preprint | Supplementary | Accepted at the International Conference on 3D Vision (3DV) teaser.mo

29 Dec 07, 2022
This repository contains several jupyter notebooks to help users learn to use neon, our deep learning framework

neon_course This repository contains several jupyter notebooks to help users learn to use neon, our deep learning framework. For more information, see

Nervana 92 Jan 03, 2023
Code for the paper "Offline Reinforcement Learning as One Big Sequence Modeling Problem"

Trajectory Transformer Code release for Offline Reinforcement Learning as One Big Sequence Modeling Problem. Installation All python dependencies are

Michael Janner 266 Dec 27, 2022
Pytorch implementation of YOLOX、PPYOLO、PPYOLOv2、FCOS an so on.

简体中文 | English miemiedetection 概述 miemiedetection是女装大佬咩酱基于YOLOX进行二次开发的个人检测库(使用的深度学习框架为pytorch),支持Windows、Linux系统,以女装大佬咩酱的名字命名。miemiedetection是一个不需要安装的

248 Jan 02, 2023
This is the official code of L2G, Unrolling and Recurrent Unrolling in Learning to Learn Graph Topologies.

Learning to Learn Graph Topologies This is the official code of L2G, Unrolling and Recurrent Unrolling in Learning to Learn Graph Topologies. Requirem

Stacy X PU 16 Dec 09, 2022