Here are the links to videos with stomata that I used:

1st file with video whre desity is known - https://drive.google.com/file/d/13RwFFxrIy3_jBjt4aiUzoOi96AA55SHj/view?usp=share_link

2nd file with videos where density is unknown: https://emea01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdrive.google.com%2Fdrive%2Ffolders%2F1Z_8DExN6hmzjXLEk0eGyWS2rYXYwNYEz%3Fusp%3Dsharing&data=05%7C01%7C%7C5687116868b04a0c92eb08db8141d297%7C84df9e7fe9f640afb435aaaaaaaaaaaa%7C1%7C0%7C638245891957749211%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=w2eYFl3CvR2bHsMzsp8kkh%2F%2BiNxaEc1z%2BCc3kADry9A%3D&reserved=0

Blob_Thresh.py - code for my 1st approach with adaptive thresholding and blob detection. 2dfft.py - code for my 2nd approach with two dimensional Fast Fourier Transform

yolo_img.py and yolo_vid.py - 3d and 4th approach using YOLOv8 model, in order to be able to run them, you need to install best.py (which are the weights that model uses)

args.yaml - default YOLOv8 augmentation data from ultralytics