3DSRBench和SiteBenchImage两个数据集评测的bug麻烦修复下，修复方式文中给出。

评测过程中发现两个bug，麻烦有空帮忙修正下： **1.3DSRBench评测name_str未定义。** vlmeval/dataset/image_mcq.py文件中2576行的name_str应该得和其他的一样加上类似下面的代码 ``` name_str_map = {'chatgpt-0125': 'openai', 'gpt-4-0125': 'gpt4'} name_str = name_str_map[model] if model in name_str_map else model ``` **2.SiteBenchImage读图时会有没扩展名的文件。** vlmeval/smp/file.py文件378行的parse_file函数应该参考https://github.com/EvolvingLMMs-Lab/VLMEvalKit/blob/EASI/vlmeval/smp/file.py 修改为如下 ``` def _mime_from_pillow(p): from PIL import Image try: with Image.open(p) as im: fmt = (im.format or '').lower() return { 'jpeg': 'image/jpeg', 'jpg': 'image/jpeg', 'png': 'image/png', 'webp': 'image/webp', 'bmp': 'image/bmp', 'gif': 'image/gif', 'tiff': 'image/tiff', 'tif': 'image/tiff', }.get(fmt, 'unknown') except Exception: return 'unknown' def parse_file(s): if osp.exists(s) and s != '.': assert osp.isfile(s) suffix = osp.splitext(s)[1].lower() # 添加对webp的支持 if suffix == '.webp': return ('image/webp', s) mime = mimetypes.types_map.get(suffix, 'unknown') if mime == 'unknown': mime = _mime_from_pillow(s) return (mime, s) elif s.startswith('data:image/'): # To be compatible with OPENAI base64 format content = s[11:] mime = content.split(';')[0] content = ';'.join(content.split(';')[1:]) dname = osp.join(LMUDataRoot(), 'files') assert content.startswith('base64,') b64 = content[7:] os.makedirs(dname, exist_ok=True) tgt = osp.join(dname, md5(b64) + '.png') decode_base64_to_image_file(b64, tgt) return parse_file(tgt) elif validators.url(s): suffix = osp.splitext(s)[1].lower() # 添加对webp的支持 if suffix == '.webp': mime = 'image/webp' elif suffix in mimetypes.types_map: mime = mimetypes.types_map[suffix] dname = osp.join(LMUDataRoot(), 'files') os.makedirs(dname, exist_ok=True) tgt = osp.join(dname, md5(s) + suffix) download_file(s, tgt) return (mime, tgt) else: return ('url', s) else: return (None, s) ```