get_model_output中是否缺少了ChangeOS和SM3Det的处理分支

[csu-K]

get_model_output中似乎缺少了ChangeOS和SM3Det的处理分支def get_model_output(model_name: str, input_image_path: str, **args):
import pandas as pd

result = None
try:
    # classification
    if model_name in ['MSCN', 'RemoteCLIP']:
        result = results[(results['model'] == model_name) & (results['file_path'] == input_image_path)].values[0]
    # detection
    elif model_name == 'Strip-R-CNN':
        result = results[(results['model'] == model_name) & (results['file_path'] == input_image_path)].values[0]
    # visual grounding
    elif model_name == 'RemoteSAM':
        result = results[(results['model'] == model_name) & (results['file_path'] == input_image_path)].values[0]
        result = result[args['text_prompt']]
    # counting
    elif model_name == 'InstructSAM':
        result = results[(results['model'] == model_name) & (results['file_path'] == input_image_path)].values[0]
        result = result[args['text_prompt']]
    # segmentation
    elif model_name == 'SAM2':
        result = results[(results['model'] == model_name) & (results['file_path'] == input_image_path)].values[0]
        result = result[args['bbox']]
except:
    pass

if result is None:
    return 'Failed to call model'
else:
    return result