how to run hand classification

[ardeal]

Hi,

In your readme, you mentioned:
We provide some pre-trained models as the baseline with the classic backbone architectures and two output heads - for gesture classification and leading hand classification.

I am trying to run resnet18 for hand classification, how to config the yaml file?
is the ResNet18 pth model file trained by you for hand classification?

I tried to modify the yaml file, and use ResNet18 for hand classification, but the code report error.

[MagicXiaoBai1]

下面这是用MobileNetV3_large.pth的过程，和ResNet18 的过程基本一样

1、新建环境、安装requirements.txt中的所有包
2、下载MobileNetV3_large.pth 放在项目目录下（与demo_ff.py同目录）
3、进入configs文件夹并打开MobileNetV3_large.yaml
4、在该文件中找到

model:
name: MobileNetV3_large
pretrained: False
pretrained_backbone: False
checkpoint: null
5、将其修改为：

model:
name: MobileNetV3_large
pretrained: False
pretrained_backbone: False
checkpoint: MobileNetV3_large.pth
6、执行命令：python demo_ff.py -p configs/MobileNetV3_large.yaml