Images

Use a powerful CNN to identify faces in images with python

FaceFinder There is lots of face recognition software out there on github, but most of it focuses on speed over accuracy and uses models such as ‘hog’. However, FaceFinder is one of the most powerful face recognition programs which uses a very large CNN to make accurate predictions. Here’s why: Several modern technologies make use of face recognition and its importance in the world is constantly increasing. You shouldn’t have to train a full neural net of your own every […]

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Machine Learning

Rethinking Space-Time Networks with Improved Memory Coverage for Efficient Video Object Segmentation

STCN We present Space-Time Correspondence Networks (STCN) as the new, effective, and efficient framework to model space-time correspondences in the context of video object segmentation. STCN achieves SOTA results on multiple benchmarks while running fast at 20+ FPS without bells and whistles. Its speed is even higher with mixed precision. Despite its effectiveness, the network itself is very simple with lots of room for improvement. See the paper for technical details. A Gentle Introduction There are two main contributions: STCN […]

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Machine Learning

Neural Scene Flow Fields using pytorch-lightning with potential improvements

nsff_pl Neural Scene Flow Fields using pytorch-lightning. This repo reimplements the NSFF idea, but modifies several operations based on observation of NSFF results and discussions with the authors. For discussion details, please see the issues of the original repo. The code is based on my previous implementation. The main modifications are the followings: Remove the blending weight in static NeRF. I adopt the addition strategy in NeRF-W. Compose static dynamic also in image warping. Implementation details are in models/rendering.py. These […]

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Json

Import json files directly in your python scripts

direct-json-import Import json files directly in your python scripts. Install Install from git repository pip install git+https://github.com/zaghaghi/direct-json-import.git Use With the following json in a file named info.json. { “name”: “hamed”, “lastname”: “zaghaghi”, “repos”: [ “https://github.com/zaghaghi/direct-json-import” ] } you can directly import it as follows import info print(info.data) # {‘name’: ‘hamed’, ‘lastname’: ‘zaghaghi’, ‘repos’: [‘https://github.com/zaghaghi/direct-json-import’]} GitHub https://github.com/zaghaghi/direct-json-import    

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Color

A Neovim plugin that generates a normalized color palette based on your colorscheme

Iris Iris is a Neovim plugin that generates a normalized color palette based on your colorscheme. It is named for the goddess Iris of Greek mythology, personification of the rainbow. Why? My development environment consists of three primary tools: Neovim, tmux, and [kitty]. I like to try and keep the color settings of these tools synchronized against a single palette. This task, at the very least, means finding pre-built matching configuration files and more often means writing some of these […]

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Machine Learning

Optimal Model Design for Reinforcement Learning

omd JAX code for the paper “Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation” Summary Model based reinforcement learning typically trains the dynamics and reward functions by minimizing the error of predictions.The error is only a proxy to maximizing the sum of rewards, the ultimate goal of the agent, leading to the objective mismatch.We propose an end-to-end algorithm called Optimal Model Design (OMD) that optimizes the returns directly for model learning.OMD leverages the implicit function theorem to optimize the model parameters […]

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Face recognition

Benchmarks on Bias Faces in the Wild

Face Recognition: Too Bias, or Not Too Bias? Robinson, Joseph P., Gennady Livitz, Yann Henon, Can Qin, Yun Fu, and Samson Timoner. “Face recognition: too bias, or not too bias? ” In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, pp. 0-1. 2020. Balanced Faces in the Wild (BFW): Data, Code, Evaluations version: 0.4.5 (following Semantic Versioning Scheme– learn more here, https://semver.org) Intended to address problems of bias in facial recognition, we built BFW as a […]

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Charts

Charts.css.py brings charts.css to Python

charts.css.py As implied by its name, charts.css.py brings charts.css to Python. Charts.css is a pure-CSS data visualization framework. It offers advantages over traditional JS-heavy chart libraries. charts.css.py provides a pythonic API on top of charts.css, so that you can largely avoid working directly at HTML and CSS level. Installation pip install charts.css.py Usage charts.css.py process data by converting your 2-dimension number list into an HTML table, which is properly styled with CSS classes.Then you write such a string into your […]

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Security

A disposable encrypted chat-based application created to claim anonymity back

Harpocrate Security is the number 1 priority when it comes to Harpocrate as the goal is to become a platform for encrypted disposable chats, the purpose of making a disposable encrypted chat is to create a connection of encrypted channels and anonymity possible again. This is an open-source project meaning you can review all code and pen-test possible vulnerabilities if you have found any possible security threats make sure to create an Issue. If you are using an older version […]

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Machine Learning

Multimodal Neural Script Knowledge Models

merlot MERLOT is a model for learning what we are calling “neural script knowledge” — representations about what is going on in videos, spanning multiple video frames with associated captions. What’s here We are releasing the following: Code for the MERLOT model (in model/, with data processing in data/ Code for running MERLOT over visual story ordering. We plan to release: Information about the videos used in this work Code for adapting the model to other tasks (not strictly needed, […]

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