使用cv2时无法重新映射保留所有黑色区域。鱼眼不失真

Question

在使用cv2.FisheyeUndortRectiptyMap（）生成map1和map2后，当使用cv2.UndortRectiptyMap（）重新映射时，即使将平衡保持为1，我也无法获取完整的黑色区域。 预期图像的所有角落都应可见，包括缺失的左下角和左上角和右上角部分，使生成的图像显示为星形

#Camera Matrix
mtx = np.array([[965.,   0., 960.],
       [  0., 970., 540.],
       [  0.,   0.,   1.]])

#Distortion Matrix
dist = np.array([[-0.07234645], [-0.00707313],  [0.00762894], [-0.00343638]])

# Sample Image requiring the undistortion with black unwarp
img = cv2.imread("Sample.jpg")
img_shape = img.shape[:2][::-1]

# New camera matrix using fisheye
new_K = cv2.fisheye.estimateNewCameraMatrixForUndistortRectify(mtx, dist, img_shape, np.eye(3), balance=1)

# Overlaying the maps on a higher resolution to fetch the extensions
map1, map2 = cv2.fisheye.initUndistortRectifyMap(mtx, dist, np.eye(3), new_K, (int(1920*1.5), int(1080*1.5)), cv2.CV_32F)

# Using the remap function to overlay the resultant image
res_img = cv2.remap(img, map1, map2, interpolation=cv2.INTER_LINEAR, borderMode=cv2.BORDER_CONSTANT)

The sample used here is attached below along with the resultant image

Input to the code Sample.jpg:

Output of the code appears as so: