图像理解功能详解
Core features
- High Resolution Support：最高可处理4K分辨率图像
- 细节捕捉能力：能识别图像中的微小细节
- 多图分析比较：可同时处理多张图片并进行对比
procedure
- 准备图像文件：将需要分析的图片放入本地目录
- 加载模型和tokenizer
- 构建查询语句和图像路径
- 使用模型进行推理
- 获取并解析返回结果
sample code (computing)::
from transformers import AutoModel, AutoTokenizer
model = AutoModel.from_pretrained('internlm/internlm-xcomposer2d5-7b', trust_remote_code=True).cuda().eval()
tokenizer = AutoTokenizer.from_pretrained('internlm/internlm-xcomposer2d5-7b', trust_remote_code=True)
query = "详细分析这张图片"
image = ['examples/dubai.png']
response, _ = model.chat(tokenizer, query, image, do_sample=False, num_beams=3)
print(response)该功能适用于图像标注、内容审核、商品分析等多种应用场景。
This answer comes from the articleInternLM-XComposer: a multimodal macromodel for outputting very long text and image-video comprehensionThe
May not be reproduced without permission:AI productivity tools " InternLM-XComposer在图像理解方面有哪些特点？如何具体操作？
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