| import gradio as gr | |
| import os | |
| import pytorch_lightning as pl | |
| import torch as th | |
| import open3d as o3d | |
| import numpy as np | |
| import trimesh as tm | |
| from models.model import Model | |
| model = Model() | |
| ckpg = th.load("./checkpoints/epoch=99-step=6000.ckpt") | |
| model.load_state_dict(ckpg["state_dict"]) | |
| def process_mesh(mesh_file_name): | |
| mesh = tm.load_mesh(mesh_file_name) | |
| v = th.tensor(mesh.vertices, dtype=th.float) | |
| n = th.tensor(mesh.vertex_normals, dtype=th.float) | |
| with th.no_grad(): | |
| v, f, n, _ = model(v.unsqueeze(0), n.unsqueeze(0)) | |
| mesh = tm.Trimesh(vertices=v.squeeze(0), | |
| faces=f.squeeze(0), | |
| vertex_normals=n.squeeze(0)) | |
| obj_path = "./sample.obj" | |
| mesh.export(obj_path) | |
| return obj_path | |
| demo = gr.Interface( | |
| fn=process_mesh, | |
| inputs=gr.Model3D(), | |
| outputs=gr.Model3D( | |
| clear_color=[0.0, 0.0, 0.0, 0.0], label="3D Model"), | |
| examples=[ | |
| [os.path.join(os.path.dirname(__file__), "files\\bunny_n1_hi_50.obj")], | |
| [os.path.join(os.path.dirname(__file__), "files\\child_n2_80.obj")], | |
| [os.path.join(os.path.dirname(__file__), "files\\eight_n3_70.obj")], | |
| ], | |
| ) | |
| if __name__ == "__main__": | |
| demo.launch() |