@vchoutas @vchoutas @pixelite1201

I succeeded to run this cmd on the collab notebook

%%shell
cd /content/shapy/regressor
python demo.py --save-vis true --save-params true --save-mesh true --split test --datasets openpose --output-folder samples/shapy_fit_ruti/ --exp-cfg configs/b2a_expose_hrnet_demo.yaml --exp-opts output_folder=../data/trained_models/shapy/SHAPY_A part_key=pose datasets.pose.openpose.data_folder=../samples datasets.pose.openpose.img_folder=image datasets.pose.openpose.keyp_folder=openpose datasets.batch_size=1 datasets.pose_shape_ratio=1.0

You need to adapt the data processing script to do that. We use the keypoint file to crop the person on the picture. If you have a picture that is already cropped you can skip this step in the data loader.

@muelea thanks of your response!!
if just have RGB image that not was copped. should I prepare anything?
what is the cmd running in order to use the Shapy to get the measurements body from RGB wild image?

python demo.py
--save-vis true
--save-params true
--save-mesh true
--split test --datasets openpose
--output-folder ../samples/shapy_fit/
--exp-cfg configs/b2a_expose_hrnet_demo.yaml
--exp-opts output_folder=../data/trained_models/shapy/SHAPY_A
part_key=pose
datasets.pose.openpose.data_folder=../samples
datasets.pose.openpose.img_folder=images
datasets.pose.openpose.keyp_folder=openpose
datasets.batch_size=1
datasets.pose_shape_ratio=1.0

what are this parameters?
datasets.pose.openpose.data_folder=../samples
datasets.pose.openpose.img_folder=images
datasets.pose.openpose.keyp_folder=openpose

is it should be specific for the images?

@muelea I would greatly appreciate it if you could provide me an explanation