我在"我为什么看到"；TypeError：字符串索引必须是整数"？但我不确定应该对代码进行什么样的更改。
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-53-a47aee8a70a4> in <module>()
3 # Training dataset.
4 dataset_train = RoadDataset()
----> 5 dataset_train.load_road("/host/Mask_RCNN_karol_majek_Practice_2/road","train")
6 dataset_train.prepare()
7
<ipython-input-48-5f64614b7c47> in load_road(self, dataset_dir, subset)
35 # The VIA tool saves images in the JSON even if they don't have any
36 # annotations. Skip unannotated images.
---> 37 annotations = [a for a in annotations if a['regions']]
38
39 # Add images
<ipython-input-48-5f64614b7c47> in <listcomp>(.0)
35 # The VIA tool saves images in the JSON even if they don't have any
36 # annotations. Skip unannotated images.
---> 37 annotations = [a for a in annotations if a['regions']]
38
39 # Add images
TypeError: string indices must be integers
这是错误指向的区块：
# Train or validation dataset?
assert subset in ["train", "val"]
dataset_dir = os.path.join(dataset_dir, subset)
# We mostly care about the x and y coordinates of each region
# Note: In VIA 2.0, regions was changed from a dict to a list.
annotations = json.load(open(os.path.join(dataset_dir, "via_project_train.json")))
annotations = list(annotations.values()) # don't need the dict keys
# The VIA tool saves images in the JSON even if they don't have any
# annotations. Skip unannotated images.
annotations = [a for a in annotations if a['regions']]
# Add images
for a in annotations:
# Get the x, y coordinaets of points of the polygons that make up
# the outline of each object instance. These are stores in the
# shape_attributes (see json format above)
# The if condition is needed to support VIA versions 1.x and 2.x.
if type(a['regions']) is dict:
polygons = [r['shape_attributes'] for r in a['regions'].values()]
else:
polygons = [r['shape_attributes'] for r in a['regions']]
# load_mask() needs the image size to convert polygons to masks.
# Unfortunately, VIA doesn't include it in JSON, so we must read
# the image. This is only managable since the dataset is tiny.
image_path = os.path.join(dataset_dir, a['filename'])
image = skimage.io.imread(image_path)
height, width = image.shape[:2]
self.add_image(
"road",
image_id=a['filename'], # use file name as a unique image id
path=image_path,
width=width, height=height,
polygons=polygons)
Json文件：
{"_via_settings":{"ui":{"annotation_editor_height":25,"annotation_editor_fontsize":0.8,"leftsidebar_width":18,"image_grid":{"img_height":80,"rshape_fill":"none","rshape_fill_opacity":0.3,"rshape_stroke":"yellow","rshape_stroke_width":2,"show_region_shape":true,"show_image_policy":"all"},"image":{"region_label":"__via_region_id__","region_color":"__via_default_region_color__","region_label_font":"10px Sans","on_image_annotation_editor_placement":"NEAR_REGION"}},"core":{"buffer_size":"18","filepath":{},"default_filepath":"G:\My Drive\Sivaraj\FYP Part 2\Classification Model\mask_rcnn\dataset\train"},"project":{"name":"via_project_train"}},"_via_img_metadata":{"roAd1.jpg11726":{"filename":"roAd1.jpg","size":11726,"regions":[{"shape_attributes":{"name":"polygon","all_points_x":[59,58,78,78],"all_points_y":[29,47,46,28]},"region_attributes":{"type":"sign","name":"sign"}},{"shape_attributes":{"name":"polygon","all_points_x":[75,75,62,62],"all_points_y":[28,24,25,29]},"region_attributes":{"type":"sign","name":"sign"}},{"shape_attributes":{"name":"polygon","all_points_x":[82,102,102,80],"all_points_y":[25,24,44,45]},"region_attributes":{"type":"sign","name":"sign"}},{"shape_attributes":{"name":"polygon","all_points_x":[110,110,159,158],"all_points_y":[24,43,44,24]},"region_attributes":{"type":"sign","name":"sign"}}],"file_attributes":{}},"roAd2.jpg11853":{"filename":"roAd2.jpg","size":11853,"regions":[{"shape_attributes":{"name":"polygon","all_points_x":[175,186,199,186],"all_points_y":[67,56,68,78]},"region_attributes":{"type":"sign","name":"sign"}},{"shape_attributes":{"name":"polygon","all_points_x":[187,198,187,175],"all_points_y":[82,94,105,93]},"region_attributes":{"type":"sign","name":"sign"}},{"shape_attributes":{"name":"polygon","all_points_x":[55,70,71,66,64,55,55,54],"all_points_y":[30,35,55,56,54,55,58,56]},"region_attributes":{"type":"sign","name":"sign"}},{"shape_attributes":{"name":"polygon","all_points_x":[96,100,104,101],"all_points_y":[36,32,36,40]},"region_attributes":{"type":"sign","name":"sign"}},{"shape_attributes":{"name":"polygon","all_points_x":[167,167,143,143,149,167],"all_points_y":[42,28,29,40,45,44]},"region_attributes":{"type":"sign","name":"sign"}}],"file_attributes":{}},"roAd3.jpg8500":{"filename":"roAd3.jpg","size":8500,"regions":[],"file_attributes":{}},"roAd4.jpg10458":{"filename":"roAd4.jpg","size":10458,"regions":[],"file_attributes":{}},"roAd5.jpg10578":{"filename":"roAd5.jpg","size":10578,"regions":[],"file_attributes":{}},"roAd6.jpg19852":{"filename":"roAd6.jpg","size":19852,"regions":[{"shape_attributes":{"name":"polygon","all_points_x":[89,121,145,117],"all_points_y":[132,107,135,157]},"region_attributes":{"type":"sign","name":"sign"}},{"shape_attributes":{"name":"polygon","all_points_x":[289,289,294,294],"all_points_y":[206,200,201,206]},"region_attributes":{"type":"sign","name":"sign"}},{"shape_attributes":{"name":"polygon","all_points_x":[324,329,329,323,323],"all_points_y":[202,202,195,195,201]},"region_attributes":{"type":"sign","name":"sign"}},{"shape_attributes":{"name":"polygon","all_points_x":[357,366,365,356,358],"all_points_y":[204,204,192,193,203]},"region_attributes":{"type":"sign","name":"sign"}}],"file_attributes":{}},"roAd7.jpg11029":{"filename":"roAd7.jpg","size":11029,"regions":[{"shape_attributes":{"name":"polygon","all_points_x":[135,141,141,144,143,136,136],"all_points_y":[88,88,90,90,85,85,88]},"region_attributes":{"type":"sign","name":"sign"}},{"shape_attributes":{"name":"polygon","all_points_x":[130,130,123,124,127,127],"all_points_y":[84,90,90,76,76,84]},"region_attributes":{"type":"sign","name":"sign"}},{"shape_attributes":{"name":"polygon","all_points_x":[64,69,69,64],"all_points_y":[64,64,79,78]},"region_attributes":{"type":"sign","name":"sign"}},{"shape_attributes":{"name":"polygon","all_points_x":[71,81,81,72,72,71,71],"all_points_y":[79,79,71,71,64,64,79]},"region_attributes":{"type":"sign","name":"sign"}},{"shape_attributes":{"name":"polygon","all_points_x":[82,85,91,92,81,82],"all_points_y":[66,66,68,80,79,66]},"region_attributes":{"type":"sign","name":"sign"}}],"file_attributes":{}},"roAd8.jpg11339":{"filename":"roAd8.jpg","size":11339,"regions":[{"shape_attributes":{"name":"polygon","all_points_x":[69,124,123,67],"all_points_y":[56,49,110,109]},"region_attributes":{"type":"sign","name":"sign"}}],"file_attributes":{}},"roAd9.jpg8522":{"filename":"roAd9.jpg","size":8522,"regions":[{"shape_attributes":{"name":"polygon","all_points_x":[74,155,153,71],"all_points_y":[8,5,129,128]},"region_attributes":{"type":"sign","name":"sign"}}],"file_attributes":{}},"roAd10.jpg17990":{"filename":"roAd10.jpg","size":17990,"regions":[{"shape_attributes":{"name":"polygon","all_points_x":[135,136,48,42,41,47],"all_points_y":[45,63,71,66,57,52]},"region_attributes":{"type":"sign","name":"sign"}}],"file_attributes":{}},"roAd11.jpg29255":{"filename":"roAd11.jpg","size":29255,"regions":[{"shape_attributes":{"name":"polygon","all_points_x":[74,92,91,72],"all_points_y":[86,86,101,102]},"region_attributes":{"type":"sign","name":"sign"}},{"shape_attributes":{"name":"polygon","all_points_x":[106,188,188,106],"all_points_y":[40,42,59,59]},"region_attributes":{"type":"sign","name":"sign"}},{"shape_attributes":{"name":"polygon","all_points_x":[23,70,69,21],"all_points_y":[50,43,59,65]},"region_attributes":{"type":"sign","name":"sign"}},{"shape_attributes":{"name":"polygon","all_points_x":[229,229,286,285],"all_points_y":[47,63,69,56]},"region_attributes":{"type":"sign","name":"sign"}},{"shape_attributes":{"name":"polygon","all_points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在实现答案的编辑版本时，这是收到的新错误：
File "road.py", line 370, in <module>
train(model)
File "road.py", line 189, in train
dataset_train.load_road(args.dataset, "train")
File "road.py", line 120, in load_road
annotations = annotations["_via_img_metadata"]
TypeError: list indices must be integers or slices, not str
这意味着并非所有的annotations都是字典，其中可能有字符串。
你可以通过替换这行来过滤所有非dict类型
annotations = [a for a in annotations if a['regions']]
用这个
annotations = [a for a in annotations if isinstance(a, dict)]
annotations = [a for a in annotations if "regions" in a.keys()]]
编辑
查看所提供的数据后，密钥regions实际上位于_via_img_metadata中的另一个dict内，因此注释应该是：
annotations = annotations["_via_img_metadata"]
annotations = list(annotations.values())
然后运行以前的代码