Telegram

A Telegram Bot Written In Python

A Telegram Bot Written In Python Clone the repository Install requirements: pip3 install -r requirements.txt edit the sample_config.py wih your configs python3 bot.py Now send /start to you bot to see if it is running! TG_BOT_TOKEN : YOUR BOT TOKEN. GET IT FROM @BOTFATHER START_MESSAGE : YOUR TELEGRAM APP ID. BOT_USER_NAME : YOUR TELEGRAM API HASH SUPPORT AND UPDATES For any type of help on deploy. Contact us on Support.Update. Thanks To AlbertEinsteinTg For Helping    

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App

Application that regularly sends an email to the user with all the films available on the poster of cinemas Nos

GitHub – Cavalex/Cartaz-Cinemas-Nos: Aplicação que envia regularmente um email ao utilizador com todos os filmes disponíveis no cartaz dos cinemas Nos. Aplicação que envia regularmente um email ao utilizador com todos os filmes disponíveis no cartaz dos cinemas Nos. – GitHub – Cavalex/Cartaz-Cinemas-Nos: Aplicação que envia regularmente um email a…    

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Scripts

Official repository of SimViT

This is a official repository of SimViT.We will open our models and codes about object detection and semantic segmentation soon.Our code references the PVT, thanks a lot for their outstanding work! @misc{li2021simvit, title={SimViT: Exploring a Simple Vision Transformer with sliding windows}, author={Gang Li and Di Xu and Xing Cheng and Lingyu Si and Changwen Zheng}, year={2021}, eprint={2112.13085}, archivePrefix={arXiv}, primaryClass={cs.CV} }    

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YOLO

Plugin adapted from Ultralytics to bring YOLOv5 into Napari

Plugin adapted from Ultralytics to bring YOLOv5 into Napari. Training and detection can be done using the GUI. Training dataset must be prepared prior to using this plugin. Further development will allow users to use Napari to prepare the dataset. Follow instructions stated on Ultralytics Github to prepare the dataset. The plugin includes 3 pre-trained networks that are able to identify mitosis stages or apoptosis on soSPIM images. More details can be found on the pre-print. This napari plugin was […]

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Ranking

nfelo: a power ranking, prediction, and betting model for the NFL

nfelo is a power ranking, prediction, and betting model for the NFL. Nfelo take’s 538’s Elo framework and further adapts it for the NFL, hence the name nfelo (pronounced “NFL oh”). The model’s output is visualized on nfeloapp.com where you can explore: Repository Description This repository contains all the code necessary to translate raw data into weekly predictions. This process has three main phases: Pull and scrape data from nflfastR, PFF, and various Vegas Line sites Compile data into a […]

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Scripts

GMHI: Gut Microbiome Health Index

Description Gut Microbiome Health Index (GMHI) is a robust index for evaluatinghealth status based on the species-level taxonomic profile of a stoolshotgun metagenome (gut microbiome) sample. Installation To avoid dependency conflicts, create an isolated conda environment andinstall gmhi Install via conda conda create –name gmhi_env -c danielchang2002 python=3.7 gmhi Activate environment Usage

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Tool

Tool To download Amazon 4k SDR HDR 1080, CDM IS Not Included

Tool To download Amazon 4k SDR HDR 1080, CDM IS Not Included For CDM You can Mail :- [email protected] Note : CDM is not free Leaked with Lots of Love ‘NETFLIX’,‘AMAZON’,‘APPLETV’,‘DISNEYPLUS’,‘SHAHID’,‘DCUNIVERSE’,‘HULU’,‘STAN’,‘RAKUTEN’,‘GOOGLE’,‘FANDANGONOW’,‘PEACOCKTV’,‘HBOMAX’,‘OSN’] Video Proof ADDED Modules available mail on id GitHub – TDenisM/widevinedump Contribute to TDenisM/widevinedump development by creating an account on GitHub.    

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YOLO

YOLOX RMPOLY For Python

本算法为适应robomaster比赛，而改动自矩形识别的yolox算法。 基于旷视科技YOLOX，实现对不规则四边形的目标检测 TODO 修改onnx推理模型 更改/添加标注： 1.yolox/models/yolox_polyhead.py: 1.1继承yolox/models/yolo_head.py YOLOXHead类，修改代码使其输出变为四点。 1.1.1修改构造函数 1.1.2修改get_output_and_grid函数，使其grid变为4对xy坐标的形式 1.1.3修改forward函数 1.1.4修改get_loses 1.1.5把自带的l1损失函数改成smoothl1，注意它自带的是算的xywh，要改成xyxyxyxy 正样本匹配策略还是依靠dynamic-k，用的是不规则四边形的最小外接矩形的iou 2.yolox/models/losses.py:（弃用） 新增PolyIOULoss类，iou是四边形的最小外接矩形iou，并新增四个坐标点的smoothl1_loss(弃用） 3.yolox/utils/boxes.py: 3.1增加order_corners函数，用于给不规则四边形的四个点排序 3.2增加minimum_outer_rect函数，用于求解四边形的最小外接矩形 3.3增加poly_adjust_box_anns函数 4.新增exps/yolox_s_rmpoly.py配置文件 5.新增yolox/exp/yolox_poly_base.py配置文件基类 6.新增yolox/data/datasets/rmpoly.py 6.1新增RMPOLYDataset类 6.1.1修改数据集读取方式，读取八点 6.1.2修改pull_item 6.1.3修改load_anno 7.yolox/data/data_augment.py 7.1新增PolyTrainTransform类，对四点数据进行数据增强（未完待续） 7.2poly_random_affine 7.2poly_apply_affine_to_bboxes 8.yolox/data/datasets/mosaicdetection.py 8.1新增PolyMosaicDetection（未完待续） 8.2_polymirror 9.yolox/models/yolox.py 9.1 YOLOX类： 为了适应yolox/models/yolox_polyhead.py中YOLOXPolyHead类的get_losses函数返回字典，修改forward函数中训练时返回值。（弃用） 可以试着把求解回归损失的smoothl1_loss改成归一化后的坐标再求损失。 Introduction YOLOX is an anchor-free version of YOLO, with a simpler design but better performance! It aims to bridge the gap between research and industrial communities.For more details, please    

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