Segment Welding Flaws in Video Streams with SAM 2 and Supervision

                      
                     
import cv2
import os
from typing import List, Tuple

# Configuration
VIDEO_SOURCE = os.getenv('VIDEO_SOURCE', 'welding_video.mp4')
SAM_MODEL_PATH = os.getenv('SAM_MODEL_PATH', 'sam_model.pth')

# Load SAM model
class SAMModel:
    def __init__(self, model_path: str) -> None:
        self.model_path = model_path
        self.load_model()

    def load_model(self) -> None:
        # Load the model (pseudo code, replace with actual loading)
        print(f'Loading model from {self.model_path}')
        # self.model = ...

    def detect_flaws(self, frame: any) -> List[Tuple[int, int, int, int]]:
        # Pseudo detection logic, replace with actual model inference
        return [(50, 50, 100, 100)]  # Dummy coordinates

# Main processing logic
def process_video(video_source: str) -> None:
    cap = cv2.VideoCapture(video_source)
    model = SAMModel(SAM_MODEL_PATH)
    while cap.isOpened():
        ret, frame = cap.read()
        if not ret:
            break
        flaws = model.detect_flaws(frame)
        for flaw in flaws:
            x, y, w, h = flaw
            cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 255, 0), 2)
        cv2.imshow('Welding Flaws', frame)
        if cv2.waitKey(1) & 0xFF == ord('q'):
            break
    cap.release()
    cv2.destroyAllWindows()

if __name__ == '__main__':
    process_video(VIDEO_SOURCE)