LandGPT

This repository contains LandGPT-8B and the corresponding model inference code.

If you use this model, please pay attention to our work: LandGPT: A Multimodal Large Language Model for Parcel-Level Land Use Classification with Multi-Source Data (under submission).

To reproduce the main contributions of the paper, please download this model and configure the model runtime library according to pip install lmdeploy>=0.5.3.

In addition, a proper JSONL file is required as an image index to feed into the model. The code for creating this JSONL file has been open-sourced at https://figshare.com/s/1eb38bac0cc970698379

Assuming you have set up the runtime environment and created the JSONL file, please run:

python true_pre_2level.py

This will launch the model inference.

We recommend using a computing card with at least 24GB of VRAM for model inference, as insufficient VRAM may affect the inference quality.

LandGPT

此仓库为LandGPT-8B和相应的模型推理代码

如使用此模型，请关注我们的工作：LandGPT: A Multimodal Large Language Model for Parcel-Level Land Use Classification with Multi-Source Data（投稿中）

如复现文章主要工作，请下载此模型，并根据 pip install lmdeploy>=0.5.3配置模型运行库。

此外，还需要合适的jsonl文件作为图像索引送入模型，制作此jsonl文件的代码已经开源在https://figshare.com/s/1eb38bac0cc970698379。

假设你已经配置好了运行环境，并创建好了jsonl文件，请运行：

python true_pre_2level.py

即可启动模型推理。

我们建议使用至少24GB显存的计算卡来进行模型推理，过低的显存可能会影响推理质量。