无法训练我自己的数据，因为KeyError:“height”

Question

我有一个脑肿瘤分类的项目，但是我要处理这个错误大约3个星期，这是错误信息

ERROR:
    root:Error processing image {'id': 'tumor-44.png', 'source': 'Meningioma', 
                                 'path': 'D:\Belajar Machine Learning\Coba Mask Tumor\dataset\images\tumor-44.png'}  
    Traceback (most recent call last): 
        File "D:\Belajar Machine Learning\Coba Mask Tumor\mrcnn\model.py", line 1709, in data_generator use_mini_mask=config.USE_MINI_MASK) 
          File "D:\Belajar Machine Learning\Coba Mask Tumor\mrcnn\model.py", line 1212, in load_image_gt 
          mask, class_ids = dataset.load_mask(image_id) File "tumor.py", line 228, in load_mask 
               mask = np.zeros([info["height"], info["width"], len(info["polygons"])], 
        KeyError: 'height'

我对这个错误消息很困惑，有人说是因为当我屏蔽图像时json文件出了问题，因为没有使用多边形屏蔽，即使我已经使用多边形进行屏蔽。你知道吗

我要在这里加载我的JSON代码：

DATASET_PATH = os.path.abspath("dataset")
IMAGES_PATH = os.path.sep.join([DATASET_PATH, "images"])
ANNOT_PATH = os.path.sep.join([DATASET_PATH, "fix.json"])

JSON code

这是load_mask代码：

def load_mask(self, imageID):

    # Convert polygons to a bitmap mask of shape
    # [height, width, instance_count]

     info = self.image_info[imageID]
     mask = np.zeros([info["height"], info["width"], len(info["polygons"])],
                     dtype=np.uint8)
     for i, p in enumerate(info["polygons"]):
         # Get indexes of pixels inside the polygon and set them to 1
         rr, cc = skimage.draw.polygon(p['all_points_y'], p['all_points_x'])

         ## Note that this modifies the existing array arr, instead of creating a result array
         ## Ref: https://stackoverflow.com/questions/19666626/replace-all-elements-of-python-numpy-array-that-are-greater-than-some-value
         rr[rr > mask.shape[0] - 1] = mask.shape[0] - 1
         cc[cc > mask.shape[1] - 1] = mask.shape[1] - 1

         mask[rr, cc, i] = 1

     return mask.astype(np.bool), np.ones([mask.shape[-1]], dtype=np.int32)

我已经成功的训练，但我实现了圆形掩蔽，但我希望它与多边形掩蔽虽然。你知道吗

谢谢你。你知道吗