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from pulsar_clip import PulsarCLIP, CONFIG_SPEC | |
from datetime import datetime | |
import gradio as gr | |
import utils | |
def generate(*args): | |
pc = PulsarCLIP(dict([(k, t(v) if not isinstance(t, (tuple, list)) | |
else (type(t[0])(v) if isinstance(t, tuple) else v)) | |
for v, (k, v0, t) in zip(args, | |
(y for _, x in CONFIG_SPEC for y in x))])) | |
frames = [] | |
for image in pc.generate(): | |
frames.append(image) | |
from tqdm.auto import tqdm | |
from subprocess import Popen, PIPE | |
fps = 30 | |
filename = datetime.strftime(datetime.now(), "%Y-%m-%d-%H-%M-%S") | |
video_path = f"{filename}.mp4" | |
if frames: | |
p = Popen((f"ffmpeg -y -f image2pipe -vcodec png -r {fps} -i - -vcodec libx264 -r {fps} " | |
f"-pix_fmt yuv420p -crf 17 -preset fast ").split() + [str(video_path)], stdin=PIPE) | |
for im in tqdm(frames): | |
im.save(p.stdin, "PNG") | |
p.stdin.close() | |
p.wait() | |
model_path = f"{filename}.obj" | |
pc.save_obj(model_path) | |
# model_path = None # TODO | |
return [video_path, model_path, model_path] | |
def main(): | |
with gr.Blocks() as ui: | |
gr.Markdown("# Pulsar+CLIP") | |
gr.Markdown("<a target='_blank' href='https://colab.research.google.com/drive/1IvV3HGoNjRoyAKIX-aqSWa-t70PW3nPs'> <img src='https://colab.research.google.com/assets/colab-badge.svg' alt='Open In Colab'/> </a> [![arXiv](https://img.shields.io/badge/arXiv-2004.07484-b31b1b.svg)](https://arxiv.org/abs/2004.07484)") | |
gr.Markdown("Generate 3D point clouds from text!") | |
with gr.Group(): | |
gr.Markdown("## Settings") | |
inputs = [] | |
defaults = [] | |
with gr.Tabs(): | |
for name, section in CONFIG_SPEC: | |
with gr.TabItem(name): | |
for k, v0, t in section: | |
if t in (float, int): | |
element = gr.Number(label=k, value=v0) | |
elif t == str: | |
element = gr.Textbox(label=k, value=v0) | |
elif t == bool: | |
element = gr.Checkbox(label=k, value=v0) | |
elif isinstance(t, tuple): | |
element = gr.Slider(*t, label=k, value=v0) | |
elif isinstance(t, list): | |
element = gr.Dropdown(label=k, value=v0, choices=t) | |
else: | |
raise TypeError(f"Input format {t} should be one of str, int, bool, tuple, list") | |
element = 1/0 | |
inputs.append(element) | |
defaults.append(v0) | |
button = gr.Button("Run") | |
gr.Markdown("## Result") | |
with gr.Row(): | |
with gr.Column(): | |
video_result = gr.Video() | |
with gr.Column(): | |
model_demo = gr.Model3D() | |
model_file = gr.File() | |
button.click(fn=generate, inputs=inputs, outputs=[video_result, model_demo, model_file]) | |
gr.Markdown("## Examples") | |
gr.Examples(fn=generate, inputs=inputs, outputs=[video_result, model_demo, model_file], | |
examples=[defaults], cache_examples=True, examples_per_page=1) | |
return ui | |
ui = main() | |
ui.launch() | |
demo = ui | |