Wireframe estimation inference folder
- operators.ml3d.wireframe_estimation_inference_folder(client, in_folders='/in_folders', out_result_folders='/out_result_folders', in_model_path='parameters_wireframe', batch_size=1, worker_instance_type='x2large', manager_instance_type='small', extension_in_files='.laz', extension_out_result_files='.laz', skip_existing_files=False)
- [hidden] Wireframe estimation inference
- wireframe_estimation_inference_folder(client,in_folders=’/in_folders’,out_result_folders=’/out_result_folders’,in_model_path=’parameters_wireframe’,batch_size=1,worker_instance_type=’x2large’,manager_instance_type=”small”,extension_in_folders=”.data_eval”,extension_out_result_folders=”.result_wireframes”,skip_existing_files = False )
- Parameters:
in_model_path – model path
batch_size – batch size for training
in_folders – input folders or directory with training data
out_result_folders – output folders containing the wireframes
worker_instance_type – cloud instance type of worker nodes
manager_instance_type – cloud instance type of manager node
extension_in_folders – File extension of files in folder for in_folders
extension_out_result_folders – File extension of files in folder for out_result_folders
skip_existing_files – skip files that already exist in the output folder