iris
Open Source Photos Platform Powered by PyTorchAbout
Services
Infrastructure Services:
Roadmap & Issues
You can find the roadmap for this project here. Issues are managed via GitHub Issues here.
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?
frontendlat, long
in /explore/place
entities listborder-radius: 50%
and for rest its border-radius: 4 or 8px
@rmwc/theme
<ThemeProvider />
by @rmwc
and set colors via that as propsSEE ALL
button on top/explore/people
/explore/places
/explore/things
make lint
checkmake generate
checkmake build
checknpm run build
checknpm run lint
checknpm test
checkPeople
, Places
, Things
queue
and should be used for invoking those respective componentsDocker Images should be built using 2 step process to reduce the image size:
Docker Images will be named as follows:
prabhuomkar/iris-frontend:<tag>
prabhuomkar/iris-graphql:<tag>
prabhuomkar/iris-worker:<tag>
prabhuomkar/iris-ml:<tag>
Full Changelog: https://github.com/prabhuomkar/iris/compare/v2021.11.01...v2021.12.31
Source code(tar.gz)Full Changelog: https://github.com/prabhuomkar/iris/commits/v2021.11.01
Source code(tar.gz)GraphFPN: Graph Feature Pyramid Network for Object Detection Download graph-FPN-main.zip For training , run: python train.py For test with Graph_fpn
GANInversion_with_ConsecutiveImgs Official code for our ICCV paper: "From Continuity to Editability: Inverting GANs with Consecutive Images" https://a
End-To-End Optimization of LiDAR Beam Configuration arXiv | IEEE Xplore This repository is the official implementation of the paper: End-To-End Optimi
ComboGAN This is our ongoing PyTorch implementation for ComboGAN. Code was written by Asha Anoosheh (built upon CycleGAN) [ComboGAN Paper] If you use
Locally-Shifted-Attention-With-Early-Global-Integration Pretrained models You can download all the models from here. Training Imagenet python -m torch
TSOD Code for the ICME 2021 paper "Exploring Driving-Aware Salient Object Detection via Knowledge Transfer" Usage For training, open train_test, run p
Pyramid Pooling Transformer for Scene Understanding Requirements: torch 1.6+ torchvision 0.7.0 timm==0.3.2 Validated on torch 1.6.0, torchvision 0.7.0
A Two-Stage Shake-Shake Network for Long-tailed Recognition of SAR Aerial View Objects 4st place solution for the PBVS 2022 Multi-modal Aerial View Ob
🤗 Hugging Face Transformer submillisecond inference 🤯 and deployment on Nvidia Triton server Yes, you can perfom inference with transformer based mo
Random Erasing Data Augmentation =============================================================== black white random This code has the source code for
Inverse-Weighted-Survival-Games This repo contains the code for paper Inverse Weighted Survival Games instructions general loss function (--lfn) can b
Back to Basics: Efficient Network Compression via IMP Authors: Max Zimmer, Christoph Spiegel, Sebastian Pokutta This repository contains the code to r
HV-plane reconstruction from a single 360 image Code for our paper in CVPR 2021: Indoor Panorama Planar 3D Reconstruction via Divide and Conquer (pape
PyTorch Implementation of EigenGAN Train python train.py [image_folder_path] --name [experiment name] Test python test.py [ckpt path] --traverse FFH
Proxy Synthesis: Learning with Synthetic Classes for Deep Metric Learning Official PyTorch implementation of "Proxy Synthesis: Learning with Synthetic
Pluralistic Image Completion ArXiv | Project Page | Online Demo | Video(demo) This repository implements the training, testing and editing tools for "
Robust Counterfactual Explanations This repository comes with the paper "On the Robustness of Counterfactual Explanations to Adverse Perturbations". I
Counterfactual Zero-Shot and Open-Set Visual Recognition This project provides implementations for our CVPR 2021 paper Counterfactual Zero-S
Computer Vision Annotation Tool (CVAT) CVAT is free, online, interactive video and image annotation tool for computer vision. It is being used by our
AnimalAI 3 AAI supports interdisciplinary research to help better understand human, animal, and artificial cognition. It aims to support AI research t