Deep Learning

StrongSORT: Make DeepSORT Great Again

StrongSORT: Make DeepSORT Great Again StrongSORT: Make DeepSORT Great Again Yunhao Du, Yang Song, Bo Yang, Yanyun Zhao arxiv 2202.13514 Abstract Existing Multi-Object Tracking (MOT) methods can be roughly classified as tracking-by-detection and joint-detection-association paradigms. Although the latter has elicited more attention and demonstrates comparable performance relative to the former, we claim that the tracking-by-detection paradigm is still the optimal solution in terms of tracking accuracy. In this paper, we revisit the classic tracker DeepSORT and upgrade it from various […]

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Patch

Implementation of ConvMixer for Patches Are All You Need?

This repository contains an implementation of ConvMixer for the ICLR 2022 submission “Patches Are All You Need?” by Asher Trockman and Zico Kolter. 🔎 New: Check out this repository for training ConvMixers on CIFAR-10. Code overview The most important code is in convmixer.py. We trained ConvMixers using the timm framework, which we copied from here. Update: ConvMixer is now integrated into the timm framework itself. You can see the PR here. Inside pytorch-image-models, we have made the following modifications. (Though […]

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Deep Learning

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

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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PyTorch

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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Message

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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Camera

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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Contact

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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