Terraria Fishing Bot is a program that uses image recognition to fish automatically in Terraria. The script uses PyAutoGUI and OpenCV to scan the screen of any text that come from fishing while using a sonar potion.
preview.mp4
- Download the RAR file from the releases section.
- Extract the contents into a directory where you have write permissions.
- Run
Fishing Bot.exeto start the program.
- Ensure that the game is in fullscreen or borderless mode and use the highest game resolution possible.
- Ensure that the fishing area is well-lit and maximize visibility of the sonar potion text, while avoiding any obstructions such as the mouse cursor.
- Configure the Quick Buff function to be bound to the key
Bin the game's keybind settings - Upon selecting the desired catches, equip your fishing rod of choice and right-click on the desired fishing spot and wait until the bot casts the fishing rod.
- Ensure the correct in-game UI scaling is being used for game. See UI Scaling Percentage for more information.
Use the given in-game UI Scaling percentages according to your screen resolution:
- 3840 x 2160 - 200%
- 2560 x 1440 - 134%
- 1920 x 1080 - 100%
- 1440 x 900 - 83%
- 1536 x 864 - 80%
- 1366 x 768 - 71%
- 1280 x 720 - 67%
If the resolution is not here, use the following formula to calculate the in-game UI scaling percentage:
(Screen Resolution / 1080) * 100
Round off the value to get the in-game UI scaling.
Throughout numerous playthroughs of Terraria with my friends, I consistently assumed the role of the dedicated fisherman within our group. I was responsible for catching fish for crafting buff potions and, notably, wormhole potions. After multiple playthroughs, constantly fishing became quite repetitive, prompting me to find a solution for my problem. I started development on an automatic fishing bot in order to fix this problem.
Contributions are welcome. For major changes, please open an issue first to discuss what you would like to change.
Please make sure to update tests as appropriate.
This project is licensed under the MIT License - see the LICENSE file for details