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Running
on
A10G
Running
on
A10G
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 | |