commit a9a3f2142b6c0a1e05c3c83965630e7ce58408f4
Author: scott <iforgot@fuckyou.com>
Date:   Wed Sep 16 14:23:43 2026 -0500

    first commit

diff --git a/bus.jpg b/bus.jpg
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diff --git a/bus.png b/bus.png
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diff --git a/bus2.png b/bus2.png
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diff --git a/bus3.jpg b/bus3.jpg
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diff --git a/bus4.jpg b/bus4.jpg
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diff --git a/notabus.png b/notabus.png
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diff --git a/readme.MD b/readme.MD
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+it works on pictures of busses but not the hand-drawn image i made.
+
+This program tells you whether or not the selected image is a bus.
+
+python3 test.py
+
+To change the file to run the operation on, change this line in the source code: results = model("bus4.jpg")
diff --git a/test.py b/test.py
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+from ultralytics import YOLO
+
+# Load the small pretrained YOLOv8 object-detection model.
+model = YOLO("yolov8n.pt")
+
+# Run object detection on a test image.
+results = model("bus4.jpg")
+
+has_bus = False
+max_confidence = 0.0
+
+for result in results:
+    class_names = result.names
+    detected_classes = result.boxes.cls.tolist()
+    confidences = result.boxes.conf.tolist()
+    
+    # Check each detected object and its matching confidence score
+    for cls_id, conf in zip(detected_classes, confidences):
+        if class_names[int(cls_id)] == "bus":
+            has_bus = True
+            # Keep track of the highest confidence if there are multiple buses
+            if conf > max_confidence:
+                max_confidence = conf
+
+# Output the Yes/No answer and the confidence percentage
+if has_bus:
+    print("Yes")
+    print(f"Confidence: {max_confidence * 100:.1f}%")
+else:
+    print("No")
diff --git a/yolov8n.pt b/yolov8n.pt
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