Simple cross-platform application for DaVinci surgical video frame annotation

Related tags

Deep LearningDaVid
Overview

DaVid logo

About

DaVid is a simple cross-platform GUI for annotating robotic and endoscopic surgical actions for use in deep-learning research.

Features

  • Simple and lightweight interface for loading and annotating surgical frames for Windows, Linux and macOS.
  • Joystick controls for intuitive and rapid action annotation.
  • Keyboard shortcuts support.
  • Hassle-free data export.

Installation

In order to run DaVid, you'll first have to make sure you're running Python 3.5 or above.

python -V

After downloading and unzipping the contents of this repository, navigate to the destination folder and install dependencies using:

cd DaVid-main
pip install –upgrade pip
pip install -r requirements.txt

You can now launch DaVid with:

python DaVid.py

Download (Coming soon)

Alternatively, you can download pre-compiled versions of the application for macOS and Windows from here.

Usage

  1. After launching DaVid, select a video file and wait while frames are extracted and saved. Note that this process only happens once per video and should take up to a few minutes.
  2. For the current frame move the controls accordingly.
  3. That's it! Move on to the next frame.
You might also like...
This solves the autonomous driving issue which is supported by deep learning technology. Given a video, it splits into images and predicts the angle of turning for each frame.
This solves the autonomous driving issue which is supported by deep learning technology. Given a video, it splits into images and predicts the angle of turning for each frame.

Self Driving Car An autonomous car (also known as a driverless car, self-driving car, and robotic car) is a vehicle that is capable of sensing its env

Sagor Saha 4 Sep 4, 2021
Asymmetric Bilateral Motion Estimation for Video Frame Interpolation, ICCV2021
Asymmetric Bilateral Motion Estimation for Video Frame Interpolation, ICCV2021

ABME (ICCV2021) Junheum Park, Chul Lee, and Chang-Su Kim Official PyTorch Code for "Asymmetric Bilateral Motion Estimation for Video Frame Interpolati

Junheum Park 86 Dec 28, 2022
Out-of-boundary View Synthesis towards Full-frame Video Stabilization
Out-of-boundary View Synthesis towards Full-frame Video Stabilization

Out-of-boundary View Synthesis towards Full-frame Video Stabilization Introduction | Update | Results Demo | Introduction This repository contains the

null 25 Oct 10, 2022
an implementation of Revisiting Adaptive Convolutions for Video Frame Interpolation using PyTorch
an implementation of Revisiting Adaptive Convolutions for Video Frame Interpolation using PyTorch

revisiting-sepconv This is a reference implementation of Revisiting Adaptive Convolutions for Video Frame Interpolation [1] using PyTorch. Given two f

Simon Niklaus 59 Dec 22, 2022
RIFE: Real-Time Intermediate Flow Estimation for Video Frame Interpolation
RIFE: Real-Time Intermediate Flow Estimation for Video Frame Interpolation

RIFE - Real Time Video Interpolation arXiv | YouTube | Colab | Tutorial | Demo Table of Contents Introduction Collection Usage Evaluation Training and

hzwer 3k Jan 4, 2023
An implementation of Video Frame Interpolation via Adaptive Separable Convolution using PyTorch
An implementation of Video Frame Interpolation via Adaptive Separable Convolution using PyTorch

This work has now been superseded by: https://github.com/sniklaus/revisiting-sepconv sepconv-slomo This is a reference implementation of Video Frame I

Simon Niklaus 984 Dec 16, 2022
This is the official implementation of the paper
This is the official implementation of the paper "Object Propagation via Inter-Frame Attentions for Temporally Stable Video Instance Segmentation".

[CVPRW 2021] - Object Propagation via Inter-Frame Attentions for Temporally Stable Video Instance Segmentation

Anirudh S Chakravarthy 6 May 3, 2022
A motion tracking system for any arbitaray points in a video frame.

PointTracking This code is written by Majid Masoumi @ [email protected] I have used lucas kanade optical flow technique to track the points b

Dr. Majid Masoumi 1 Feb 9, 2022
RIFE - Real-Time Intermediate Flow Estimation for Video Frame Interpolation
RIFE - Real-Time Intermediate Flow Estimation for Video Frame Interpolation

RIFE - Real-Time Intermediate Flow Estimation for Video Frame Interpolation YouTube | BiliBili 16X interpolation results from two input images: Introd

旷视天元 MegEngine 28 Dec 9, 2022
Comments
  • App crashes when importing video on windows

    App crashes when importing video on windows

    Using Python 3.9.7

    When importing a video using the app I receive the following error QPixmap::scaled: Pixmap is a null pixmap Traceback (most recent call last): File "C:\Users\User\Desktop\DaVid\DaVid-main\DaVid.py", line 115, in load_video _, username = str(pathlib.Path.home()).rsplit('/', 1) ValueError: not enough values to unpack (expected 2, got 1)

    bug 
    opened by RyanYammine 1
  • Data export

    Data export

    It might be a better/cleaner alternative to have the folder "annotated_data" stored internally (hidden) and then export that same data on demand using an export button, rather than having the folder hanging out on Desktop. This is because manually messing up with the folder like deleting the csv or moving it away will break the app.

    opened by JadAssaf 0
Releases(v0.2-alpha)
Owner
Cyril Zakka
Computer Vision and Natural Language Processing | MD Candidate
Cyril Zakka
GitHub Repository
WTTE-RNN a framework for churn and time to event prediction

WTTE-RNN Weibull Time To Event Recurrent Neural Network A less hacky machine-learning framework for churn- and time to event prediction. Forecasting p

Egil Martinsson 727 Dec 28, 2022
U-Net implementation in PyTorch for FLAIR abnormality segmentation in brain MRI

U-Net for brain segmentation U-Net implementation in PyTorch for FLAIR abnormality segmentation in brain MRI based on a deep learning segmentation alg

562 Jan 02, 2023
PSGAN running with ncnn⚡妆容迁移/仿妆⚡Imitation Makeup/Makeup Transfer⚡

PSGAN running with ncnn⚡妆容迁移/仿妆⚡Imitation Makeup/Makeup Transfer⚡

WuJinxuan 144 Dec 26, 2022
A deep learning object detector framework written in Python for supporting Land Search and Rescue Missions.

AIR: Aerial Inspection RetinaNet for supporting Land Search and Rescue Missions AIR is a deep learning based object detection solution to automate the

Accenture 13 Dec 22, 2022
For AILAB: Cross Lingual Retrieval on Yelp Search Engine

Cross-lingual Information Retrieval Model for Document Search Train Phase CUDA_VISIBLE_DEVICES="0,1,2,3" \ python -m torch.distributed.launch --nproc_

Chilia Waterhouse 104 Nov 12, 2022
Lightweight, Python library for fast and reproducible experimentation :microscope:

Steppy What is Steppy? Steppy is a lightweight, open-source, Python 3 library for fast and reproducible experimentation. Steppy lets data scientist fo

minerva.ml 134 Jul 10, 2022
An implementation of the "Attention is all you need" paper without extra bells and whistles, or difficult syntax

Simple Transformer An implementation of the "Attention is all you need" paper without extra bells and whistles, or difficult syntax. Note: The only ex

29 Jun 16, 2022
Implementation of the federated dual coordinate descent (FedDCD) method.

FedDCD.jl Implementation of the federated dual coordinate descent (FedDCD) method. Installation To install, just call Pkg.add("https://github.com/Zhen

Zhenan Fan 6 Sep 21, 2022
Visualize Camera's Pose Using Extrinsic Parameter by Plotting Pyramid Model on 3D Space

extrinsic2pyramid Visualize Camera's Pose Using Extrinsic Parameter by Plotting Pyramid Model on 3D Space Intro A very simple and straightforward modu

JEONG HYEONJIN 106 Dec 28, 2022
Simple data balancing baselines for worst-group-accuracy benchmarks.

BalancingGroups Code to replicate the experimental results from Simple data balancing baselines achieve competitive worst-group-accuracy. Replicating

Meta Research 29 Dec 02, 2022
Pytorch implementation of "Training a 85.4% Top-1 Accuracy Vision Transformer with 56M Parameters on ImageNet"

Token Labeling: Training an 85.4% Top-1 Accuracy Vision Transformer with 56M Parameters on ImageNet (arxiv) This is a Pytorch implementation of our te

蒋子航 383 Dec 27, 2022
Pytorch Implementation of Zero-Shot Image-to-Text Generation for Visual-Semantic Arithmetic

Pytorch Implementation of Zero-Shot Image-to-Text Generation for Visual-Semantic Arithmetic [Paper] [Colab is coming soon] Approach Example Usage To r

170 Jan 03, 2023
This demo showcase the use of onnxruntime-rs with a GPU on CUDA 11 to run Bert in a data pipeline with Rust.

Demo BERT ONNX pipeline written in rust This demo showcase the use of onnxruntime-rs with a GPU on CUDA 11 to run Bert in a data pipeline with Rust. R

Xavier Tao 14 Dec 17, 2022
Only works with the dashboard version / branch of jesse

Jesse optuna Only works with the dashboard version / branch of jesse. The config.yml should be self-explainatory. Installation # install from git pip

Markus K. 8 Dec 04, 2022
A project for developing transformer-based models for clinical relation extraction

Clinical Relation Extration with Transformers Aim This package is developed for researchers easily to use state-of-the-art transformers models for ext

uf-hobi-informatics-lab 101 Dec 19, 2022
A fast model to compute optical flow between two input images.

DCVNet: Dilated Cost Volumes for Fast Optical Flow This repository contains our implementation of the paper: @InProceedings{jiang2021dcvnet, title={

Huaizu Jiang 8 Sep 27, 2021
Warning: This project does not have any current developer. See bellow.

Pylearn2: A machine learning research library Warning : This project does not have any current developer. We will continue to review pull requests and

Laboratoire d’Informatique des Systèmes Adaptatifs 2.7k Dec 26, 2022
The Face Mask recognition system uses AI technology to detect the person with or without a mask.

Face Mask Detection Face Mask Detection system built with OpenCV, Keras/TensorFlow using Deep Learning and Computer Vision concepts in order to detect

Rohan Kasabe 4 Apr 05, 2022
PyTorch implementation of MLP-Mixer

PyTorch implementation of MLP-Mixer MLP-Mixer: an all-MLP architecture composed of alternate token-mixing and channel-mixing operations. The token-mix

Duo Li 33 Nov 27, 2022
ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object Segmentation

ClevrTex This repository contains dataset generation code for ClevrTex benchmark from paper: ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi

Laurynas Karazija 26 Dec 21, 2022