Command-line Tools

Advanced extended command line tool for Django

mirage-django-lts mirage ~ ♪ extended django admin or manage.py command. Installing Mirage with Pipenv is recommended. pipenv install -d mirage-django-lts If you don’t use pipenv, you can install it with pip. pip install mirage-django-lts You can build this package manually. make before_node make build_all Usage: mg [action] option mg [action]:[subaction] option [Create Project] new Create a new Django project. new:react Create a new Django API project with React.js front-end. new:ng Create a new Django API project with Angular. –nebular Create […]

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GUI

A relatively simple user interface in pyqt5 for UNIX systems

scrcpy-pyqtgui A relatively simple user interface in pyqt5 for UNIX systems Requirements: You can install them with sudo apt-get install scrcpy python3 python3-pip adb pip3 install PyQt5 Usage To run the program you can use the following command in the terminal inside the folder python3 main.py GitHub https://github.com/hayukimori/scrcpy-pyqtgui    

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Python

Working With Linear Systems in Python With scipy.linalg

Linear algebra is widely used across a variety of subjects, and you can use it to solve many problems once you organize the information using concepts like vectors and linear equations. In Python, most of the routines related to this subject are implemented in scipy.linalg, which offers very fast linear algebra capabilities. In particular, linear systems play an important role in modeling a variety of real-world problems, and scipy.linalg provides tools to study and solve them in an efficient way. […]

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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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