Delete app.py

app.py

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-# -*- coding: utf-8 -*-
-"""3D-DreamGaussian_demo.ipynb
-
-Automatically generated by Colaboratory.
-
-Original file is located at
-    https://colab.research.google.com/drive/1ll2NcJouGKXw1Qv0u7CpnOX5JMFiBfZH
-
-# [DreamGaussian](https://github.com/dreamgaussian/dreamgaussian) image-to-3D demo
-"""
-
-# Commented out IPython magic to ensure Python compatibility.
-#@title install (only run once)
-# %rm -r dreamgaussian
-git clone https://github.com/dreamgaussian/dreamgaussian
-# %cd dreamgaussian
-
-# install dependencies
-pip install -q einops plyfile dearpygui huggingface_hub diffusers accelerate transformers xatlas trimesh PyMCubes pymeshlab rembg[gpu,cli] omegaconf ninja
-
-# build extension from source (can be slow)
-# !git clone --recursive https://github.com/ashawkey/diff-gaussian-rasterization
-# !pip install -q ./diff-gaussian-rasterization
-# !pip install -q ./simple-knn
-
-# pre-built wheels (faster)
-pip install -q https://github.com/camenduru/diff-gaussian-rasterization/releases/download/v1.0/diff_gaussian_rasterization-0.0.0-cp310-cp310-linux_x86_64.1.whl
-pip install -q https://github.com/camenduru/diff-gaussian-rasterization/releases/download/v1.0/simple_knn-0.0.0-cp310-cp310-linux_x86_64.1.whl
-
-# nvdiffrast
-pip install -q git+https://github.com/NVlabs/nvdiffrast
-
-# kiuikit
-pip install -q git+https://github.com/ashawkey/kiuikit
-
-# %mkdir -p data
-
-# Commented out IPython magic to ensure Python compatibility.
-#@title upload image
-
-import os
-
-# %cd data/
-# %rm * # remove all old files!
-from google.colab import files
-uploaded = files.upload()
-IMAGE = os.path.basename(next(iter(uploaded))) # filename
-# %cd ..
-
-# display image
-from IPython.display import Image, display
-display(Image(f'data/{IMAGE}', width=256, height=256))
-
-# Commented out IPython magic to ensure Python compatibility.
-#@title preprocess image
-
-# preprocess
-# %run process.py data/{IMAGE}
-
-NAME = os.path.splitext(IMAGE)[0]
-IMAGE_PROCESSED = NAME + '_rgba.png'
-
-# display processed image
-from IPython.display import Image, display
-display(Image(f'data/{IMAGE_PROCESSED}', width=256, height=256))
-
-"""# Settings
-* Elevation: estimated elevation angle, default to 0 (horizontal), range from [-90, 90]. If you upload a look-down image, try a value like -30.
-"""
-
-#@markdown ####**Settings:**
-Elevation = 0 #@param {type: 'integer'}
-
-# Commented out IPython magic to ensure Python compatibility.
-#@title training!
-
-# stage 1
-# %run main.py --config configs/image.yaml input=data/{IMAGE_PROCESSED} save_path={NAME} elevation={Elevation} force_cuda_rast=True
-
-# stage 2
-# %run main2.py --config configs/image.yaml input=data/{IMAGE_PROCESSED} save_path={NAME} elevation={Elevation} force_cuda_rast=True
-
-# Commented out IPython magic to ensure Python compatibility.
-#@title render a video for displaying
-
-# the final mesh is saved to ./logs/NAME.obj
-# %run -m kiui.render logs/{NAME}.obj --save_video {NAME}.mp4 --wogui --force_cuda_rast
-
-from IPython.display import HTML
-from base64 import b64encode
-
-def show_video(video_path, video_width=450):
-  video_file = open(video_path, "r+b").read()
-  video_url = f"data:video/mp4;base64,{b64encode(video_file).decode()}"
-  return HTML(f"""<video width={video_width} controls><source src="{video_url}"></video>""")
-
-show_video(f'{NAME}.mp4')