Open Rut-B opened 6 months ago
@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
I'm trying to figure out how to run the shapy model on my own RGB images, without needing any additional files like keypoints or vertices.
I would greatly appreciate it if you could provide me an explanation of how to run the code with my RGB images only - to get the measurements of the body