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camera_basler_capture_img/camera_basler_capture_test1img.py

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+# camera_capture.py
+import os
+from pypylon import pylon
+import cv2
+from datetime import datetime
+
+
+def search_get_device():
+    """搜索并返回 Basler GigE 相机对象"""
+    tl_factory = pylon.TlFactory.GetInstance()
+    for dev_info in tl_factory.EnumerateDevices():
+        if dev_info.GetDeviceClass() == 'BaslerGigE':
+            print(f"Found Basler GigE Camera: {dev_info.GetModelName()}  IP: {dev_info.GetIpAddress()}")
+            return pylon.InstantCamera(tl_factory.CreateDevice(dev_info))
+    raise EnvironmentError("没有找到 Basler GigE 相机")
+
+
+def grab_image(save=True):
+    """
+    采集一张图像并返回 numpy ndarray（BGR）
+    save=True 时自动保存 PNG 文件到 camera/ 文件夹
+    """
+    # 创建保存目录
+    save_dir = "camera"
+    os.makedirs(save_dir, exist_ok=True)
+
+    cam = search_get_device()
+    cam.Open()
+
+    # 设置图像转换器（BGR8 → OpenCV格式）
+    converter = pylon.ImageFormatConverter()
+    converter.OutputPixelFormat = pylon.PixelType_BGR8packed
+    converter.OutputBitAlignment = pylon.OutputBitAlignment_MsbAligned
+
+    cam.StartGrabbing(pylon.GrabStrategy_LatestImageOnly)
+
+    grabResult = cam.RetrieveResult(5000, pylon.TimeoutHandling_ThrowException)
+
+    if grabResult.GrabSucceeded():
+        image = converter.Convert(grabResult)
+        img = image.GetArray()     # OpenCV 可处理的 ndarray
+        print("成功采集图像:", img.shape)
+
+        # 保存 PNG
+        if save:
+            filename = os.path.join(save_dir, f"Image_{datetime.now().strftime('%Y%m%d_%H%M%S')}.png")
+            cv2.imwrite(filename, img)
+            print("已保存:", filename)
+
+    else:
+        print("采集失败:", grabResult.ErrorCode, grabResult.ErrorDescription)
+        img = None
+
+    grabResult.Release()
+    cam.Close()
+    return img
+
+
+if __name__ == "__main__":
+    img = grab_image(save=True)
+    if img is not None:
+        print("图像类型:", type(img))
+        print("图像尺寸:", img.shape)