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robot.py
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"""Preprocess the Robot model
The model is available for download from
https://sketchfab.com/3d-models/uaeYu2fwakD1e1bWp5Cxu3XAqrt
The Python Imaging Library is required
pip install pillow
"""
from __future__ import print_function
import json
import os
import zipfile
from PIL import Image
from utils.gltf import dump_obj_data
SRC_FILENAME = "robo_obj_pose4.zip"
DST_DIRECTORY = "../assets/robot"
def process_meshes(zip_file):
gltf = json.loads(zip_file.read("scene.gltf"))
buffer = zip_file.read("scene.bin")
for mesh_index in range(len(gltf["meshes"])):
obj_data = dump_obj_data(gltf, buffer, mesh_index)
filename = "robot{}.obj".format(mesh_index)
filepath = os.path.join(DST_DIRECTORY, filename)
with open(filepath, "w") as f:
f.write(obj_data)
def load_image(zip_file, filename):
with zip_file.open(filename) as f:
image = Image.open(f)
image = image.transpose(Image.FLIP_TOP_BOTTOM)
return image
def save_image(image, filename, size=512):
if max(image.size) > size:
image = image.resize((size, size), Image.LANCZOS)
filepath = os.path.join(DST_DIRECTORY, filename)
image.save(filepath, rle=True)
def process_images(zip_file):
basecolor_path = "textures/material_0_baseColor.jpeg"
emission_path = "textures/material_0_emissive.jpeg"
packed_path = "textures/material_0_metallicRoughness.png"
basecolor_image = load_image(zip_file, basecolor_path)
save_image(basecolor_image, "robot_basecolor.tga")
emission_image = load_image(zip_file, emission_path)
save_image(emission_image, "robot_emission.tga")
packed_image = load_image(zip_file, packed_path)
_, roughness_image, _, _ = packed_image.convert("RGBA").split()
save_image(roughness_image, "robot_roughness.tga")
def main():
if not os.path.exists(DST_DIRECTORY):
os.makedirs(DST_DIRECTORY)
with zipfile.ZipFile(SRC_FILENAME) as zip_file:
process_meshes(zip_file)
process_images(zip_file)
if __name__ == "__main__":
main()