57 lines
1.9 KiB
Python
57 lines
1.9 KiB
Python
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import os
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import cv2
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import datetime
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import threading
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from ultralytics import YOLO
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class YoloPredict(threading.Thread):
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""" YOLO 推論執行緒 """
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def __init__(self, image, model_path, save_dir="results", callback=None):
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super(YoloPredict, self).__init__()
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self.image = image
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self.model_path = model_path
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self.save_dir = save_dir
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self.callback = callback # ✅ 設定回呼函數
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self.model = None
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# ✅ 確保 `results/` 資料夾存在
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if not os.path.exists(self.save_dir):
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os.makedirs(self.save_dir)
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def run(self):
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""" 執行 YOLO 推論 """
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if self.image is None:
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print("⚠️ 無影像可進行推論")
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return
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try:
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# ✅ 載入 YOLO 模型
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if self.model is None:
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self.model = YOLO(self.model_path)
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print("✅ YOLO 模型載入成功")
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# ✅ 轉換影像格式 (BGR → RGB)
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image_rgb = cv2.cvtColor(self.image, cv2.COLOR_BGR2RGB)
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# ✅ 使用 YOLO 模型進行推論
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results = self.model.predict(image_rgb, imgsz=640, conf=0.5)
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print("✅ YOLO 推論完成")
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# ✅ 取得標註結果
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result_image = results[0].plot()
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# ✅ 儲存影像
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timestamp = datetime.datetime.now().strftime("%Y-%m-%d_%H-%M-%S")
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save_path = os.path.join(self.save_dir, f"{timestamp}.jpg")
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result_image_bgr = cv2.cvtColor(result_image, cv2.COLOR_RGB2BGR)
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cv2.imwrite(save_path, result_image_bgr)
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print(f"✅ 推論結果儲存至: {save_path}")
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# ✅ 回傳結果到主視窗 (`callback` 函數)
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if self.callback:
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self.callback(result_image, save_path)
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except Exception as e:
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print(f"⚠️ 推論時發生錯誤: {e}")
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