Background Removal with Deep Learning

This repository show the code to remove the background of the pictures using the U2Net pre-trained model. @InProceedings{Qin_2020_PR, title = {U2-Net: Going Deeper with Nested U-Structure for Salient Object Detection}, author = {Qin, Xuebin and Zhang, Zichen and Huang, Chenyang and Dehghan, Masood and Zaiane, Osmar and Jagersand, Martin}, journal = {Pattern Recognition}, volume = {106}, pages = {107404}, year = {2020}    

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FastAPI style routing for starlette

Table of Contents About The Project Installation Usage Contact Acknowledgments About The Project FastApi is a great tool for developping API’s in a quick and easy way. In their own words: FastAPI is a modern, fast (high-performance), web framework for building APIs with Python 3.6+ based on standard Python type hints. It is build using starlette which is in their own words: a lightweight ASGI framework/toolkit, which is ideal for building high performance asyncio services. The good One of the […]

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Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels

Official PyTorch implementation of Semi-Supervised Semantic Segmentation Using Unreliable Pseudo Labels, CVPR 2022. Please refer to our project page for qualitative results. Abstract.The crux of semi-supervised semantic segmentation is to assign adequate pseudo-labels to the pixels of unlabeled images.A common practice is to select the highly confident predictions as the pseudo ground-truth, but it leads to a problem that most pixels may be left unused due to their unreliability.We argue that every pixel matters to the model training, even its […]

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Generate (message) sequence diagrams from TLA+ state traces

This is a tool for generating sequence diagrams fromTLC state traces. It producesSVGs that look like: or like this PDF. This tool is licensed under the MIT license. Copyright: Erkki Seppälä [email protected] 2022 You can contact me also viaMatrix. What is TLA+? TLA+ (Temporal Logic of Actions+) is a way to describe the behavior ofan algorithm or a system at a high, yet in a very mathematicallyprecise manner. This allows one to reason about the system behavior ina more accurate […]

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Hack Camera, Microphone, Location, Clipboard With Just a Link. Also, Get Many Details About Victim’s Device

An Automated Tool to Hack Victim’s Camera, Microphone, Location, Clipboard. Has 2 Extra Features. Hack Camera Hack Microphone Hack Clipboard Hack Location Get So Many Details about Victim’s Device. As much as Possible… Prank Victim Using PasteJacking Supports Custom HTML page to Show to Victim. Supports URL Masking Supported Port Forwardings Localhost CloudFlared Ngrok Installation Commands apt update -y apt upgrade -y pkg install python git -y git clone https://github.com/Toxic-Noob/Link-X cd Link-X bash setup.sh python link-x.py    

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StarkNet Modular Contracts (SMC) Standard

This repository presents a way to build and deploy modular StarkNet contracts.It is heavily inspired by the Diamond Standard, but uses a different naming convention to avoid confusion. Running You can use nile to compile the smart contracts: You can use pytest to runs the tests: GitHub View Github    

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TCTrack: Temporal Contexts for Aerial Tracking (CVPR2022)

Ziang Cao and Ziyuan Huang and Liang Pan and Shiwei Zhang and Ziwei Liu and Changhong Fu In CVPR, 2022. [paper] Abstract Temporal contexts among consecutive frames are farfrom being fully utilized in existing visual trackers. In this work, we present TCTrack, a comprehensive framework to fully exploit temporal contexts for aerial tracking. The temporal contexts are incorporated at two levels: the extraction of features and the refinement of similarity maps. Specifically, for feature extraction, an online temporally adaptive convolution […]

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Populate library namespace without incurring immediate import costs

lazy-loader makes it easy to load subpackages and functions on demand. Motivation Allow subpackages to be made visible to users without incurring import costs. Allow external libraries to be imported only when used, improving import times. For a more detailed discussion, see the SPEC. Installation pip install -U lazy-loader Usage Lazily load subpackages Consider the __init__.py from scikit-image: subpackages = [ …, ‘filters’, … ] import lazy_loader as lazy __getattr__, __dir__, _

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Twitter Bot to track updates in Metaculus questions

This bot monitors some Metaculus questions and posts a tweet when the predictions have changed significantly. The bot is currently deployed on Google Cloud Functions (deploy.sh) and runs every 6 hours (schedule.sh). The main function that runs the bot is in main.py. Contributions Contributions are very welcome, please open an issue or create a Pull Request. GitHub View Github    

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