# Detects differences between a Single Image and a List of Images (multiprocessing)
## pip install multiwhacamole
### Tested against Python 3.11 / Windows 10
## INPUT
### 0.png
### 1.png
### 2.png
## OUTPUT - comparison with 0.png
### 0.png
### 1.png
### 2.png
```python
import cv2
from multiwhacamole import finddifferences
picturelist = [
r"C:\Users\hansc\Downloads\dfsdfsdf\0.png",
r"C:\Users\hansc\Downloads\dfsdfsdf\1.png",
r"C:\Users\hansc\Downloads\dfsdfsdf\2.png",
]
singlepicture = r"C:\Users\hansc\Downloads\dfsdfsdf\0.png"
df = finddifferences(singlepicture, picturelist,
percentage=10,
interpolation=cv2.INTER_NEAREST,
cpus=5,
chunks=1,
draw_output=True,
usecache=True,
print_stdout=False,
print_stderr=True,
draw_color=(255, 255, 0),
thickness=2,
thresh=3,
maxval=255,
save_folder='c:\\testrecognition'
)
print(df)
# aa_start_x aa_start_y aa_end_x aa_end_y aa_center_x aa_center_y aa_width aa_height aa_area aa_screenshot aa_img_index
# 0 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> [[[253 249 247]\n [253 249 247 0
# 1 60 780 200 900 130 840 140 120 16800 [[[253 249 247]\n [253 249 247 1
# 2 620 740 750 870 685 805 130 130 16900 [[[253 249 247]\n [253 249 247 1
# 3 70 640 200 770 135 705 130 130 16900 [[[253 249 247]\n [253 249 247 1
# 4 1060 370 1600 710 1330 540 540 340 183600 [[[253 249 247]\n [253 249 247 1
# 5 10 0 250 90 130 45 240 90 21600 [[[253 249 247]\n [253 249 247 1
# 6 580 640 620 750 600 695 40 110 4400 [[[ 0 255 255]\n [ 0 255 255 2
# 7 0 300 1600 900 800 600 1600 600 960000 [[[ 0 255 255]\n [ 0 255 255 2
# 8 900 0 1040 80 970 40 140 80 11200 [[[ 0 255 255]\n [ 0 255 255 2
# 9 0 0 810 90 405 45 810 90 72900 [[[ 0 255 255]\n [ 0 255 255 2
# If the DataFrame takes too long to print due to the screenshots, use: https://github.com/hansalemaos/PrettyColorPrinter
```
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