iris - Open Source Photos Platform Powered by PyTorch

Overview
Comments
  • 404 error on frontend

    404 error on frontend

    in brouser:

    graphql:1 Failed to load resource: the server responded with a status of 404 (Not Found)

    in console:

    frontend | 2021/11/05 09:51:37 [error] 36#36: *11 open() "/usr/share/nginx/html/graphql" failed (2: No such file or directory), client: 172.21.0.1, server: localhost, request: "POST /graphql HTTP/1.1", host: "localhost:5000", referrer: "http://localhost:5000/explore"

    WAIDW?

    frontend 
    opened by Nehc 5
  • [frontend] Show maps with pins for each place on `/explore/places`

    [frontend] Show maps with pins for each place on `/explore/places`

    • [ ] Use open street maps to show pins on each lat, long in /explore/place entities list
    • [ ] Should be a static image and should not be interactive map
    opened by prabhuomkar 1
  • [frontend] Upload Button and Explore Section List

    [frontend] Upload Button and Explore Section List

    • [x] Add upload button in Header
    • [x] Add Image Lists
    • [x] Make sure for places images have border-radius: 50% and for rest its border-radius: 4 or 8px
    opened by prabhuomkar 1
  • [frontend] Theming using `@rmwc/theme`

    [frontend] Theming using `@rmwc/theme`

    • [x] Install @rmwc/theme
    • [x] Delete unwanted custom tags which are used only due to colors
    • [x] Use <ThemeProvider /> by @rmwc and set colors via that as props
    opened by prabhuomkar 1
  • [frontend] Explore section template design

    [frontend] Explore section template design

    • [x] Add 3 single rows with SEE ALL button on top
    • [x] Name 3 rows with titles as:
      • [x] People
      • [x] Places
      • [x] Things
    • [x] Each section then will have its own page as:
      • [x] /explore/people
      • [x] /explore/places
      • [x] /explore/things
    opened by prabhuomkar 1
  • [api] Configure GitHub Action

    [api] Configure GitHub Action

    • [x] Added GitHub Action workflow for api folder
    • [x] Following tasks should be included on every PR and master:
      • [x] make lint check
      • [x] make generate check
      • [x] make build check
    opened by prabhuomkar 1
  • [frontend] Configure GitHub Action

    [frontend] Configure GitHub Action

    • [x] Added GitHub Action workflow for frontend folder
    • [x] Following tasks should be included on every PR and master:
      • [x] npm run build check
      • [x] npm run lint check
      • [x] npm test check
    opened by prabhuomkar 1
  • [worker] Using TorchScript Modules for Things Classification

    [worker] Using TorchScript Modules for Things Classification

    • Show examples for converting two SOTA models into TorchScript modules
    • Should return class names directly as result by making use of imagenet classes list
    opened by prabhuomkar 0
  • [api/worker] Invoking Worker Pipeline Components based on Environment Config

    [api/worker] Invoking Worker Pipeline Components based on Environment Config

    • Add environment variables for disabling invoking of worker pipeline components People, Places, Things
    • This should also disable similar entities from showing on UI (even if there is data generated for the same, but don't delete existing data)
    • This actions should go via queue and should be used for invoking those respective components
    opened by prabhuomkar 0
  • Github Actions for publishing Docker images to Docker Hub

    Github Actions for publishing Docker images to Docker Hub

    Docker Images should be built using 2 step process to reduce the image size:

    • [x] API - https://github.com/prabhuomkar/iris/commit/111ebc8fd51ac1eaf0d63f6a700e6d09c99c48f3
    • [x] Worker - #111

    Docker Images will be named as follows:

    • Frontend: prabhuomkar/iris-frontend:<tag>
    • GraphQL: prabhuomkar/iris-graphql:<tag>
    • Worker: prabhuomkar/iris-worker:<tag>
    • ML: prabhuomkar/iris-ml:<tag>
    opened by prabhuomkar 0
Releases(v2021.12.31)
  • v2021.12.31(Jan 1, 2022)

    What's Changed

    • Added environment variables in docker-compose.yaml by @prabhuomkar in https://github.com/prabhuomkar/iris/pull/65
    • Added Queries and Mutations for Favourites by @prabhuomkar in https://github.com/prabhuomkar/iris/pull/67
    • Added mutation for updating mediaItem description by @prabhuomkar in https://github.com/prabhuomkar/iris/pull/69
    • Added image description and fixed image preview for People by @akshaypithadiya in https://github.com/prabhuomkar/iris/pull/75
    • Added Queriea and Mutations for Albums by @prabhuomkar in https://github.com/prabhuomkar/iris/pull/72
    • Added starring/unstarring photo feature and added /favourites page by @akshaypithadiya in https://github.com/prabhuomkar/iris/pull/78
    • Refactored GraphQL API and broke down Schema Files by @prabhuomkar in https://github.com/prabhuomkar/iris/pull/79
    • Update to imports and some minor changes done by @akshaypithadiya in https://github.com/prabhuomkar/iris/pull/82
    • #70 : Queries and Mutation for Delete by @prabhuomkar in https://github.com/prabhuomkar/iris/pull/81
    • #77: Added On This Day Query by @prabhuomkar in https://github.com/prabhuomkar/iris/pull/80
    • Added move to trash and restore feature by @akshaypithadiya in https://github.com/prabhuomkar/iris/pull/86
    • #83: Added albumID as a arg while uploading by @prabhuomkar in https://github.com/prabhuomkar/iris/pull/87
    • Added albums and item count to /albums by @akshaypithadiya in https://github.com/prabhuomkar/iris/pull/89
    • Handle complex operations which comes with Deleting MediaItem by @prabhuomkar in https://github.com/prabhuomkar/iris/pull/91
    • #90: Added mutation for adding or removing mediaItems from the album by @prabhuomkar in https://github.com/prabhuomkar/iris/pull/92
    • #96: Return album ID in createAlbum mutation by @prabhuomkar in https://github.com/prabhuomkar/iris/pull/97
    • #85: Added Create Album Feature by @akshaypithadiya in https://github.com/prabhuomkar/iris/pull/95
    • Added remove photos from album feature by @akshaypithadiya in https://github.com/prabhuomkar/iris/pull/98
    • Added missing people entity association for displayMediaItem by @prabhuomkar in https://github.com/prabhuomkar/iris/pull/99
    • fixed add/remove album issue by @akshaypithadiya in https://github.com/prabhuomkar/iris/pull/100

    Full Changelog: https://github.com/prabhuomkar/iris/compare/v2021.11.01...v2021.12.31

    Source code(tar.gz)
    Source code(zip)
  • v2021.11.01(Nov 4, 2021)

    What's Changed

    • done issue #4 and issue #8 by @akshaypithadiya in https://github.com/prabhuomkar/iris/pull/9
    • Added seaweedfs client with file upload and basic info stored by @prabhuomkar in https://github.com/prabhuomkar/iris/pull/11
    • Entity Queries, Docs and Architecture Diagram by @prabhuomkar in https://github.com/prabhuomkar/iris/pull/17
    • Added pub/sub messaging between API and ML service by @prabhuomkar in https://github.com/prabhuomkar/iris/pull/20
    • issue#10 explore section and upload button list by @akshaypithadiya in https://github.com/prabhuomkar/iris/pull/12
    • Metadata extraction from image files by @prabhuomkar in https://github.com/prabhuomkar/iris/pull/22
    • LatLong calculation from Image metadata by @prabhuomkar in https://github.com/prabhuomkar/iris/pull/23
    • Generate Places Entities using Image Metadata by @prabhuomkar in https://github.com/prabhuomkar/iris/pull/26
    • Queue manual ack of messages by @prabhuomkar in https://github.com/prabhuomkar/iris/pull/30
    • added image upload functionality by @akshaypithadiya in https://github.com/prabhuomkar/iris/pull/27
    • basic home section with dates and images issue#15 by @akshaypithadiya in https://github.com/prabhuomkar/iris/pull/31
    • Issue#15 by @akshaypithadiya in https://github.com/prabhuomkar/iris/pull/33
    • Fixed creationTime calc, worker metadata, UI. Fixes sorting by creationTime by @prabhuomkar in https://github.com/prabhuomkar/iris/pull/35
    • Backend fixes for queries and showing entity info per mediaItem by @prabhuomkar in https://github.com/prabhuomkar/iris/pull/36
    • Finished with Entity Things by @prabhuomkar in https://github.com/prabhuomkar/iris/pull/38
    • some ui fixes done by @akshaypithadiya in https://github.com/prabhuomkar/iris/pull/39
    • Issue 41 by @prabhuomkar in https://github.com/prabhuomkar/iris/pull/43
    • Search Queries and Worker Fixes by @prabhuomkar in https://github.com/prabhuomkar/iris/pull/44
    • Finishing touches for ML Handlers by @prabhuomkar in https://github.com/prabhuomkar/iris/pull/49
    • Entity people component and some refactoring by @prabhuomkar in https://github.com/prabhuomkar/iris/pull/50
    • Added Update Entity Query and People Entity Component Finishes by @prabhuomkar in https://github.com/prabhuomkar/iris/pull/51
    • Added explore people, edit people and some ui changes done by @akshaypithadiya in https://github.com/prabhuomkar/iris/pull/52
    • Some optimization work for worker and ml logging linter fix by @prabhuomkar in https://github.com/prabhuomkar/iris/pull/53
    • Added photos sorting logic by @akshaypithadiya in https://github.com/prabhuomkar/iris/pull/54
    • Did some concurrency level optimizations in worker by @prabhuomkar in https://github.com/prabhuomkar/iris/pull/55
    • minor changes done by @akshaypithadiya in https://github.com/prabhuomkar/iris/pull/56
    • Minor changes done by @akshaypithadiya in https://github.com/prabhuomkar/iris/pull/57
    • Release Fixes by @prabhuomkar in https://github.com/prabhuomkar/iris/pull/58

    New Contributors

    • @akshaypithadiya made their first contribution in https://github.com/prabhuomkar/iris/pull/9
    • @prabhuomkar made their first contribution in https://github.com/prabhuomkar/iris/pull/11

    Full Changelog: https://github.com/prabhuomkar/iris/commits/v2021.11.01

    Source code(tar.gz)
    Source code(zip)
Studying Python release adoptions by looking at PyPI downloads

Analysis of version adoptions on PyPI We get PyPI download statistics via Google's BigQuery using the pypinfo tool. Usage First you need to get an acc

Julien Palard 9 Nov 04, 2022
Source code for the NeurIPS 2021 paper "On the Second-order Convergence Properties of Random Search Methods"

Second-order Convergence Properties of Random Search Methods This repository the paper "On the Second-order Convergence Properties of Random Search Me

Adamos Solomou 0 Nov 13, 2021
Wikidated : An Evolving Knowledge Graph Dataset of Wikidata’s Revision History

Wikidated Wikidated 1.0 is a dataset of Wikidata’s full revision history, which encodes changes between Wikidata revisions as sets of deletions and ad

Lukas Schmelzeisen 11 Aug 16, 2022
Learning to Reconstruct 3D Manhattan Wireframes from a Single Image

Learning to Reconstruct 3D Manhattan Wireframes From a Single Image This repository contains the PyTorch implementation of the paper: Yichao Zhou, Hao

Yichao Zhou 50 Dec 27, 2022
CLDF dataset derived from Robbeets et al.'s "Triangulation Supports Agricultural Spread" from 2021

CLDF dataset derived from Robbeets et al.'s "Triangulation Supports Agricultural Spread" from 2021 How to cite If you use these data please cite the o

Digital Linguistics 2 Dec 20, 2021
A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning", CIKM-21

ANEMONE A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning", CIKM-21 Dependencies python==3.6.1 dgl==

Graph Analysis & Deep Learning Laboratory, GRAND 30 Dec 14, 2022
PyElastica is the Python implementation of Elastica, an open-source software for the simulation of assemblies of slender, one-dimensional structures using Cosserat Rod theory.

PyElastica PyElastica is the python implementation of Elastica: an open-source project for simulating assemblies of slender, one-dimensional structure

Gazzola Lab 105 Jan 09, 2023
Deep learning algorithms for muon momentum estimation in the CMS Trigger System

Deep learning algorithms for muon momentum estimation in the CMS Trigger System The Compact Muon Solenoid (CMS) is a general-purpose detector at the L

anuragB 2 Oct 06, 2021
An open software package to develop BCI based brain and cognitive computing technology for recognizing user's intention using deep learning

An open software package to develop BCI based brain and cognitive computing technology for recognizing user's intention using deep learning

deepbci 272 Jan 08, 2023
Minimalistic PyTorch training loop

Backbone for PyTorch training loop Will try to keep it minimalistic. pip install back from back import Bone Features Progress bar Checkpoints saving/l

Kashin 4 Jan 16, 2020
A framework that allows people to write their own Rocket League bots.

YOU PROBABLY SHOULDN'T PULL THIS REPO Bot Makers Read This! If you just want to make a bot, you don't need to be here. Instead, start with one of thes

543 Dec 20, 2022
An implementation of a discriminant function over a normal distribution to help classify datasets.

CS4044D Machine Learning Assignment 1 By Dev Sony, B180297CS The question, report and source code can be found here. Github Repo Solution 1 Based on t

Dev Sony 6 Nov 09, 2021
Torch-ngp - A pytorch implementation of the hash encoder proposed in instant-ngp

HashGrid Encoder (WIP) A pytorch implementation of the HashGrid Encoder from ins

hawkey 1k Jan 01, 2023
PyTorch Implementation of ByteDance's Cross-speaker Emotion Transfer Based on Speaker Condition Layer Normalization and Semi-Supervised Training in Text-To-Speech

Cross-Speaker-Emotion-Transfer - PyTorch Implementation PyTorch Implementation of ByteDance's Cross-speaker Emotion Transfer Based on Speaker Conditio

Keon Lee 114 Jan 08, 2023
Graph-based community clustering approach to extract protein domains from a predicted aligned error matrix

Using a predicted aligned error matrix corresponding to an AlphaFold2 model , returns a series of lists of residue indices, where each list corresponds to a set of residues clustering together into a

Tristan Croll 24 Nov 23, 2022
Source codes for "Structure-Aware Abstractive Conversation Summarization via Discourse and Action Graphs"

Structure-Aware-BART This repo contains codes for the following paper: Jiaao Chen, Diyi Yang:Structure-Aware Abstractive Conversation Summarization vi

GT-SALT 56 Dec 08, 2022
Fight Recognition from Still Images in the Wild @ WACVW2022, Real-world Surveillance Workshop

Fight Detection from Still Images in the Wild Detecting fights from still images is an important task required to limit the distribution of social med

Şeymanur Aktı 10 Nov 09, 2022
A research toolkit for particle swarm optimization in Python

PySwarms is an extensible research toolkit for particle swarm optimization (PSO) in Python. It is intended for swarm intelligence researchers, practit

Lj Miranda 1k Dec 30, 2022
MakeItTalk: Speaker-Aware Talking-Head Animation

MakeItTalk: Speaker-Aware Talking-Head Animation This is the code repository implementing the paper: MakeItTalk: Speaker-Aware Talking-Head Animation

Adobe Research 285 Jan 08, 2023
Created as part of CS50 AI's coursework. This AI makes use of knowledge entailment to calculate the best probabilities to win Minesweeper.

Minesweeper-AI Created as part of CS50 AI's coursework. This AI makes use of knowledge entailment to calculate the best probabilities to win Minesweep

Beckham 0 Jul 20, 2022