Delete services/thermal_service.py

services/thermal_service.py

@@ -1,23 +0,0 @@
-from transformers import DetrImageProcessor, DetrForObjectDetection
-import torch
-from PIL import Image
-import cv2
-
-# Load model
-processor = DetrImageProcessor.from_pretrained("facebook/detr-resnet-50")
-model = DetrForObjectDetection.from_pretrained("facebook/detr-resnet-50")
-
-def detect_thermal_anomalies(frame):
-    image = Image.fromarray(cv2.cvtColor(frame, cv2.COLOR_BGR2RGB))
-    inputs = processor(images=image, return_tensors="pt")
-    outputs = model(**inputs)
-
-    target_sizes = torch.tensor([image.size[::-1]])
-    results = processor.post_process_object_detection(outputs, threshold=0.9, target_sizes=target_sizes)[0]
-
-    boxes = []
-    for score, label, box in zip(results["scores"], results["labels"], results["boxes"]):
-        if score >= 0.9:
-            boxes.append(box.tolist())
-
-    return boxes