the config and weight of online demo

[kaixin-bai]

currently i'm using both of the commands below to test yolo-world but got different performance and results with the online demo, i would like to know which config file and weight are used in huggingface online demo.

$ python3 demo/gradio_demo.py ./configs/pretrain/yolo_world_v2_x_vlpan_bn_2e-3_100e_4x8gpus_obj365v1_goldg_train_1280ft_lvis_minival.py ./weights/yolo_world_v2_x_obj365v1_goldg_cc3mlite_pretrain_1280ft-14996a36.pth 

python3 demo/gradio_demo.py ./configs/pretrain/yolo_world_xl_t2i_bn_2e-4_100e_4x8gpus_obj365v1_goldg_train_lvis_minival.py ./weights/yolo_world_v2_xl_obj365v1_goldg_cc3mlite_pretrain.pth

[kaixin-bai]

the onnx file exported from gradio web is only 499 bytes, but from online demo is about 416 MB, is there anything wrong?

[shiboyang]

使用export_onnx.py文件导出的模型也遇到了这样的问题

[JinhuiYE]

hi, did you figure out this issue?
I met the same problem. the results didn't align with online demo.
I use
config: YOLO-World/configs/pretrain/yolo_world_v2_x_vlpan_bn_2e-3_100e_4x8gpus_obj365v1_goldg_train_1280ft_lvis_minival.py

CLIP: openai/clip-vit-base-patch32

Checkpoint: yolo_world_v2_x_obj365v1_goldg_cc3mlite_pretrain_1280ft-14996a36.pth

text prompt: Trash can, your hand, arm, floor, surface where the trash can was placed, tables, chairs