Month: April 2022

Humans

PoseTriplet: Co-evolving 3D Human Pose Estimation, Imitation, and Hallucination under Self-supervision (Oral)

Kehong Gong*, Bingbing Li*, Jianfeng Zhang*, Tao Wang*, Jing Huang, Bi Mi, Jiashi Feng, Xinchao Wang CVPR 2022 (Oral Presentation, arxiv) Framework Pose-triplet contains three components: estimator, imitator and hallucinator The three components form dual-loop during the training process, complementing and strengthening one another. Improvement through co-evolving Here is imitated motion of different rounds, the estimator and imitator get improved over the rounds of training, and thus the imitated motion becomes more accurate and realistic from round 1 to 3. […]

Read more
Deep Learning

DeepDPM: Deep Clustering With An Unknown Number of Clusters

This repo contains the implementation of our paper: DeepDPM: Deep Clustering With An Unknown Number of Clusters Meitar Ronen, Shahaf Finder and Oren Freifeld. DeepDPM clustering example on 2D data. On the left: DeepDPM’s predicted clusters’ assignments, centers and covariances. On the right: Clusters colored by the GT labels, and the net’s decision boundary. Examples of the clusters found by DeepDPM on the ImageNet Dataset: Table of Contents Introduction Installation Training Citation    

Read more
Dashboard

Create Vega/Vega-Lite dashboards for Datasette

Build custom Vega/Vega-Lite dashboards in Datasette, for presentation-ready plots and visualizations. Installation Install this plugin in the same environment as Datasette. $ datasette install datasette-vega-dashboards Tutorial See the example fixture in example_fixture for a minimal example. You can run the fixture via: datasette -m metadata.json –template-dir templates/ sleep_log.db and then open http://127.0.0.1:8001/sleep_log/read_sleep to see the dashboard. In the minimal example, we create a canned query in metadata.json:

Read more
PyTorch

OpenSphere: A hyperspherical face recognition library based on PyTorch

  OpenSphere is a hyperspherical face recognition library based on PyTorch. See the project homepage. Introduction OpenSphere provides a consistent and unified training and evaluation framework for hyperspherical face recognition research. The framework decouples the loss function from the other varying components such as network architecture, optimizer, and data augmentation. It can fairly compare different loss functions in hyperspherical face recognition on popular benchmarks, serving as a transparaent platform to reproduce published results. Supported Projects SphereFace: Deep Hypersphere Embedding for […]

Read more
Event

Analysing and storing r/Place 2022 event

This project is live at place.thatguyalex.com. Running scraper locally Install Python and all dependencies from scraper.py imports (if you want to create a requirements.txt, please make a PR and i’ll merge it) Edit authparams.py with your reddit username and password, and then add an oauth app of type script Field AUTH_TOKEN can be left empty, it is used for manual overrides Run scraper.py Running website locally Pull requests and suggestions welcome GitHub View Github    

Read more
Python

Python REST APIs With FastAPI

Creating APIs, or application programming interfaces, is an important part of making your software accessible to a broad range of users. In this video course, you’ll learn the main concepts of FastAPI and how to use it to quickly create web APIs that implement best practices by default. By the end of it, you’ll be able to start creating production-ready web APIs, and you’ll have the understanding needed to go deeper and learn more for your specific use cases. In […]

Read more
Utility

Data Utilities and Processing Generalized for All CDP Instances

Data Utilities and Processing Generalized for All CDP Instances Installation Stable Release: pip install cdp-data Development Head: pip install git+https://github.com/CouncilDataProject/cdp-data.git Documentation For full package documentation please visit councildataproject.github.io/cdp-data. Quickstart Development See CONTRIBUTING.md for information related to developing the code. MIT license GitHub View Github    

Read more
Text-to-Speech

HOVI: Creates Text-to-Speech messages from people’s face movement to help people who have difficulty communicating with one’s voice

Team Member: Kang Inyeong, Kim Yeonghyeon, Lee Seulbi, Park Jisoo from GDSC SeoulTech (2021.12.21-ing) 🌱 Index What is HOVI? What is HOVI’s SDGs? Who can be a HOVI’s user? Used Technology/Diagram How to use? Demo Video What is HOVI’s Vision? Who develop HOVI? 🌱 What is HOVI? HOVI means ‘Have Own Voice Intermidiator’. The application creates Text-to-Speech messages from people’s face movement to help people who have difficulty communicating with one’s voice. HOVI is used as follows : 1️⃣ Use […]

Read more
Extractor

Extract the ppt in the video

extract ppt from a video If The video content is included ppt, then this tool can extract the ppt from the video and export a pdf file. Or you can just transform video to pdf -,-. install # install from pypi pip install extract-video-ppt # or local python ./setup.py install # or local user python ./setup.py install –user useage

Read more
1 … 4 5 6 7 8 … 11