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| Input (3072x3072 chunk) | YOLO Detection Result |
|---|---|
![]() | ![]() |
YOLOv12n 偵測結果:17 個元件,confidence 0.41~0.97(測試圖片不在訓練集中)
| YOLOv8n | YOLOv12n | |
|---|---|---|
| Weights | weights/best_v8n.pt | weights/best_v12n.pt |
| Input Size | 640x640 | 640x640 |
| Architecture | Ultralytics YOLOv8 nano | Ultralytics YOLOv12 nano |
| Classes | 1 (component) | 1 (component) |
component(單一類別)| Confusion Matrix | Box PR Curve | Training Results |
|---|---|---|
![]() | ![]() | ![]() |
| Confusion Matrix | Box PR Curve | Training Results |
|---|---|---|
![]() | ![]() | ![]() |
1from ultralytics import YOLO
2
3model = YOLO("weights/best_v12n.pt")
4results = model.predict("pcb_chunk.jpg", conf=0.25)