[Bug] 使用默认的命令导出的模型，没有lable_name标签信息？如何增加？

[happybear1015]

Checklist

• I have searched related issues but cannot get the expected help.
• 2. I have read the FAQ documentation but cannot get the expected help.
• 3. The bug has not been fixed in the latest version.

Describe the bug

python mmdeploy/tools/deploy.py 导出时，如何指定类别标签 label_name？

Reproduction

no

Environment

no

Error traceback

No response

[happybear1015]

导出命令：python mmdeploy/tools/deploy.py mmdeploy/configs/mmdet/instance-seg/instance-seg_onnxruntime_dynamic.py mmdetection/configs/mask_rcnn/mask-rcnn_x101-64x4d_fpn_ms-poly_3x_coco.py epoch_24.pth 1.jpg --work-dir mmdeploy_model/mask-rcnn/ --device cpu --dump-info
部分结果文件：

detail.json内容如下：
{
"version": "1.3.1",
"codebase": {
"task": "ObjectDetection",
"codebase": "mmdet",
"version": "3.3.0",
"pth": "epoch_12.pth",
"config": "mmdetection/configs/mask_rcnn/mask-rcnn_x101-64x4d_fpn_ms-poly_3x_coco.py"
},
"codebase_config": {
"type": "mmdet",
"task": "ObjectDetection",
"model_type": "end2end",
"post_processing": {
"score_threshold": 0.05,
"confidence_threshold": 0.005,
"iou_threshold": 0.5,
"max_output_boxes_per_class": 200,
"pre_top_k": 5000,
"keep_top_k": 100,
"background_label_id": -1,
"export_postprocess_mask": false
}
},
"onnx_config": {
"type": "onnx",
"export_params": true,
"keep_initializers_as_inputs": false,
"opset_version": 11,
"save_file": "end2end.onnx",
"input_names": [
"input"
],
"output_names": [
"dets",
"labels",
"masks"
],
"input_shape": null,
"optimize": true,
"dynamic_axes": {
"input": {
"0": "batch",
"2": "height",
"3": "width"
},
"dets": {
"0": "batch",
"1": "num_dets"
},
"labels": {
"0": "batch",
"1": "num_dets"
},
"masks": {
"0": "batch",
"1": "num_dets",
"2": "height",
"3": "width"
}
}
},
"backend_config": {
"type": "onnxruntime"
},
"calib_config": {}
}
pipeline.json内容如下：
{
"pipeline": {
"input": [
"img"
],
"output": [
"post_output"
],
"tasks": [
{
"type": "Task",
"module": "Transform",
"name": "Preprocess",
"input": [
"img"
],
"output": [
"prep_output"
],
"transforms": [
{
"type": "LoadImageFromFile",
"backend_args": null
},
{
"type": "Resize",
"keep_ratio": true,
"size": [
1333,
800
]
},
{
"type": "Normalize",
"to_rgb": true,
"mean": [
123.675,
116.28,
103.53
],
"std": [
58.395,
57.12,
57.375
]
},
{
"type": "Pad",
"size_divisor": 32
},
{
"type": "DefaultFormatBundle"
},
{
"type": "Collect",
"meta_keys": [
"img_norm_cfg",
"flip_direction",
"filename",
"pad_shape",
"ori_filename",
"img_path",
"img_id",
"pad_param",
"ori_shape",
"valid_ratio",
"flip",
"scale_factor",
"img_shape"
],
"keys": [
"img"
]
}
]
},
{
"name": "maskrcnn",
"type": "Task",
"module": "Net",
"is_batched": true,
"input": [
"prep_output"
],
"output": [
"infer_output"
],
"input_map": {
"img": "input"
},
"output_map": {}
},
{
"type": "Task",
"module": "mmdet",
"name": "postprocess",
"component": "ResizeInstanceMask",
"params": {
"rpn": {
"nms_pre": 1000,
"max_per_img": 1000,
"nms": {
"type": "nms",
"iou_threshold": 0.7
},
"min_bbox_size": 0
},
"rcnn": {
"score_thr": 0.05,
"nms": {
"type": "nms",
"iou_threshold": 0.5
},
"max_per_img": 200,
"mask_thr_binary": 0.5
},
"min_bbox_size": 0,
"score_thr": 0.05,
"mask_thr_binary": 0.5,
"is_resize_mask": true
},
"output": [
"post_output"
],
"input": [
"prep_output",
"infer_output"
]
}
]
}
}