This Python script can automatically play the Instagram mini-game "Emoji Pong" on a PC using scrcpy, a software that project your phone to the PC.
Important
It only works on Windows PC and Android phone. No other combination works. Scrcpy is for Android, and this script uses Windows API to get the information of the projected window.
The required Python packages are listed in the requirements.txt file:
keyboard==0.13.5
mouse==0.7.1
mss==10.0.0
numpy==2.1.3
PyGetWindow==0.0.9- Install scrcpy
- Clone the repository
- Install the required packages using pip:
pip install -r requirements.txt
Ensure the config.json file is correctly set up. Here is an example configuration:
{
"window_title": "RMX",
"window_width": 436,
"window_height": 974
}Replace the window_title field with the title of scrcpy window and set the width and hieght of the window.
- Ensure your phone screen is being projected to your PC using
scrcpy. - Start a game using the red circle(🔴) emoji and die. Now there should be a
Play Againbutton at the bottom. - Run the script:
Python main.pyImportant
DO NOT move your mouse or press any key key on your keyboard after you run the Python script. It should automatically play the game for you.
The script continuously captures screenshots and analyzes their colors to determine the ball's position. A higher frame rate provides more data, which enhances the accuracy of the calculations and leads to better scores. However, capturing a screenshot takes significantly longer than the subsequent calculations and is the script's bottleneck. Depending on your hardware, the script can capture around 40 to 50 screenshots per second. On average, it can get to 100 points, and it once got 150. After that, the ball is too fast that the script only has less than 10 frames to predict the next position, which is definitely not enough and it eventually dies.
Taking reflections into account, the ball's path can be modeled as a straight line. However, due to resolution and other factors, the positions obtained from the screenshots do not align perfectly along a straight line. To address this, the script applies linear regression to fit a straight line to the path and predict the position where the ball will hit the platform.