Files
citypulse/backend/test/Machine_Learning/train_deetction.py
Cursor Agent 46dea3304f Refactor: Integrate backend API and normalize data
This commit integrates the backend API for fetching and updating report data. It also includes a normalization function to handle data consistency between the API and local storage.

Co-authored-by: anthonymuncher <anthonymuncher@gmail.com>
2025-09-26 10:27:39 +00:00

18 lines
421 B
Python

from ultralytics import YOLO
def train():
model = YOLO("yolov12n.pt") # pretrained YOLOv8 small
model.train(
data="D:/CTF_Hackathon/gensprintai2025/pothole-detection-yolov12.v2i.yolov12/data.yaml",
epochs=10,
imgsz=512,
batch=8,
device=0,
project="checkpoints",
name="pothole_detector",
exist_ok=True
)
if __name__ == "__main__":
train()