A bot that plays TFT using OCR. Keeps track of bench, board, items, and plays the user defined team comp.

Overview

main

NOTES:

  • To ensure best results, make sure you are running this on a computer that has decent specs.
  • 1920x1080 fullscreen is required in League, game must also be on main monitor.
  • Make sure you dont have any overlays on.
  • If the program crashes, make sure you create an issue with the traceback.
  • Feel free to create a PR for whatever you want, I used this project to learn python and much of the code can be improved.
  • My initial goal with this project was to create a bot capable of hitting gold in TFT. Unfortunately I do not have anymore time to spend on this.

INSTALLATION:

  1. Install Python 3.9.6 from https://www.python.org/downloads/windows/
    • Note that Python 3.9.6 cannot be used on Windows 7 or earlier.
  2. Run pip install -r requirements.txt in Command Prompt
  3. Install tesseract using windows installer available at: https://github.com/UB-Mannheim/tesseract/wiki
    • Note the tesseract path from the installation.
    • Set the tesseract path in the ocr.py file (it may already be correct)
  4. Run the main.py file

FEATURES:

  • Read the board state (Round / Level / Gold / Shop / Items)
  • Keeps track of champions on the board and bench
  • Pick a random item/champ from the carousel
  • Pickup items from the board after PVE rounds
  • Place items onto champions
  • Plays the user defined team comp
  • Auto queue using the LCU api

TODO:

  • Change the functions that take multiple screenshots and change it to one screenshot and crop that image. This should increase performance.
  • Implement tome of traits logic
  • Add more logic to the gold spending function
  • Change all pyautogui screenshot functions to PIL ImageGrab
  • Revamp auto queue so it can never fail
  • Multiple defined team comps and pick the best one in game
  • General code imrpovements and optimization
  • [?] Intelligent carousel item/champion choice
Owner
francis
francis
A machine learning software for extracting information from scholarly documents

GROBID GROBID documentation Visit the GROBID documentation for more detailed information. Summary GROBID (or Grobid, but not GroBid nor GroBiD) means

Patrice Lopez 1.9k Jan 08, 2023
Code release for Hu et al., Learning to Segment Every Thing. in CVPR, 2018.

Learning to Segment Every Thing This repository contains the code for the following paper: R. Hu, P. Dollár, K. He, T. Darrell, R. Girshick, Learning

Ronghang Hu 417 Oct 03, 2022
Document blur detection based on Laplacian operator and text detection.

Document Blur Detection For general blurred image, using the variance of Laplacian operator is a good solution. But as for the blur detection of docum

JoeyLr 5 Oct 20, 2022
Polaris is a Face recognition attendance system .

Support Me 🚀 About Polaris 📄 Polaris is a system based on facial recognition with a futuristic GUI design, Can easily find people informations store

XN3UR0N 215 Dec 26, 2022
A tool combining EasyOCR and LaMa to automatically detect text and replace it with an inpainted background.

EasyLaMa (WIP) This is a tool combining EasyOCR and LaMa to automatically detect text and replace it with an inpainted background. Installation For GP

3 Sep 17, 2022
MONAI Label is a server-client system that facilitates interactive medical image annotation by using AI.

MONAI Label is a server-client system that facilitates interactive medical image annotation by using AI. It is an open-source and easy-to-install ecosystem that can run locally on a machine with one

Project MONAI 344 Dec 23, 2022
Text Detection from images using OpenCV

EAST Detector for Text Detection OpenCV’s EAST(Efficient and Accurate Scene Text Detection ) text detector is a deep learning model, based on a novel

Abhishek Singh 88 Oct 20, 2022
⛓ marc is a small, but flexible Markov chain generator

About marc (markov chain) is a small, but flexible Markov chain generator. Usage marc is easy to use. To build a MarkovChain pass the object a sequenc

Max Humber 65 Oct 27, 2022
This repository contains the code for the paper "SCANimate: Weakly Supervised Learning of Skinned Clothed Avatar Networks"

SCANimate: Weakly Supervised Learning of Skinned Clothed Avatar Networks (CVPR 2021 Oral) This repository contains the official PyTorch implementation

Shunsuke Saito 235 Dec 18, 2022
Using python libraries to track hands

Python-HandTracking Using python libraries to track hands on a camera Uses cv2 and mediapipe libraries custom hand tracking module PyCharm IDE Final E

Martin Matsudaira 1 Dec 17, 2021
InverseRenderNet: Learning single image inverse rendering, CVPR 2019.

InverseRenderNet: Learning single image inverse rendering !! Check out our new work InverseRenderNet++ paper and code, which improves the inverse rend

Ye Yu 141 Dec 20, 2022
A curated list of papers and resources for scene text detection and recognition

Awesome Scene Text A curated list of papers and resources for scene text detection and recognition The year when a paper was first published, includin

Jan Zdenek 43 Mar 15, 2022
Document Image Dewarping

Document image dewarping using text-lines and line Segments Abstract Conventional text-line based document dewarping methods have problems when handli

Taeho Kil 268 Dec 23, 2022
Some codes from PyImageSearch course's and external projects.

👨‍💻 Some codes and projects 👨‍💻 💡 Technologies 📜 Projects 📍 Chrome Dinosaur Controller 📦 Script 📍 Coins Counter 📦 Script 🤓 Author Lucas Biv

Lucas Bivar 25 Oct 24, 2021
Deep LearningImage Captcha 2

滑动验证码深度学习识别 本项目使用深度学习 YOLOV3 模型来识别滑动验证码缺口,基于 https://github.com/eriklindernoren/PyTorch-YOLOv3 修改。 只需要几百张缺口标注图片即可训练出精度高的识别模型,识别效果样例: 克隆项目 运行命令: git cl

Python3WebSpider 117 Dec 28, 2022
Deep Learning Chinese Word Segment

引用 本项目模型BiLSTM+CRF参考论文:http://www.aclweb.org/anthology/N16-1030 ,IDCNN+CRF参考论文:https://arxiv.org/abs/1702.02098 构建 安装好bazel代码构建工具,安装好tensorflow(目前本项目需

2.1k Dec 23, 2022
Repository relating to the CVPR21 paper TimeLens: Event-based Video Frame Interpolation

TimeLens: Event-based Video Frame Interpolation This repository is about the High Speed Event and RGB (HS-ERGB) dataset, used in the 2021 CVPR paper T

Robotics and Perception Group 544 Dec 19, 2022
Isearch (OSINT) 🔎 Face recognition reverse image search on Instagram profile feed photos.

isearch is an OSINT tool on Instagram. Offers a face recognition reverse image search on Instagram profile feed photos.

Malek salem 20 Oct 25, 2022
Image processing using OpenCv

Image processing using OpenCv Write a program that opens the webcam, and the user selects one of the following on the video: ✅ If the user presses the

M.Najafi 4 Feb 18, 2022
Pixel art search engine for opengameart

Pixel Art Reverse Image Search for OpenGameArt What does the final search look like? The final search with an example can be found here. It looks like

Eivind Magnus Hvidevold 92 Nov 06, 2022