Spaces:
Sleeping
Sleeping
File size: 2,150 Bytes
e3dc213 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 |
from __future__ import annotations
import datetime
import pathlib
import shlex
import subprocess
import sys
import gradio as gr
sys.path.append('TEXTurePaper')
from src.configs.train_config import GuideConfig, LogConfig, TrainConfig
from src.training.trainer import TEXTure
class Model:
def __init__(self):
self.max_num_faces = 100000
def load_config(self, shape_path: str, text: str, seed: int,
guidance_scale: float) -> TrainConfig:
text += ', {} view'
log = LogConfig(exp_name=self.gen_exp_name())
guide = GuideConfig(text=text)
guide.background_img = 'TEXTurePaper/textures/brick_wall.png'
guide.shape_path = 'TEXTurePaper/shapes/spot_triangulated.obj'
config = TrainConfig(log=log, guide=guide)
config.guide.shape_path = shape_path
config.optim.seed = seed
config.guide.guidance_scale = guidance_scale
return config
def gen_exp_name(self) -> str:
now = datetime.datetime.now()
return now.strftime('%Y-%m-%d-%H-%M-%S')
def check_num_faces(self, path: str) -> bool:
with open(path) as f:
lines = [line for line in f.readlines() if line.startswith('f')]
return len(lines) <= self.max_num_faces
def zip_results(self, exp_dir: pathlib.Path) -> str:
mesh_dir = exp_dir / 'mesh'
out_path = f'{exp_dir.name}.zip'
subprocess.run(shlex.split(f'zip -r {out_path} {mesh_dir}'))
return out_path
def run(self, shape_path: str, text: str, seed: int,
guidance_scale: float) -> tuple[str, str]:
if not shape_path.endswith('.obj'):
raise gr.Error('The input file is not .obj file.')
if not self.check_num_faces(shape_path):
raise gr.Error('The number of faces is over 100,000.')
config = self.load_config(shape_path, text, seed, guidance_scale)
trainer = TEXTure(config)
trainer.paint()
video_path = config.log.exp_dir / 'results' / 'step_00010_rgb.mp4'
zip_path = self.zip_results(config.log.exp_dir)
return video_path.as_posix(), zip_path
|