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import os
import glob
import argparse
from shutil import rmtree
from PIL import Image
from multiprocessing import Pool, cpu_count
from dotenv import load_dotenv, find_dotenv
import subprocess
load_dotenv(find_dotenv())
# This script generates crops with a specific aspect ratio from a 360 video.
# It creates three sequences (identified by "--label")
parser = argparse.ArgumentParser()
parser.add_argument('--folder', default="./uprez/venice_360_equi_1024/a/")
parser.add_argument('--out_dir', default="./uprez_results/")
parser.add_argument('--label', required=True)
parser.add_argument('--margin', type=int, default=16)
parser.add_argument('--no_clobber', action='store_false')
opt = parser.parse_args()
src_width = 1024
src_height = 512
dst_width = int(src_width / opt.count)
dst_height = int(dst_width / opt.aspect)
dst_size = (dst_width, dst_height,)
y0 = opt.vertical_offset - dst_height / 2 - margin
out_path = os.path.join(opt.out_dir, opt.label)
if not opt.no_clobber:
if os.path.exists(out_path):
rmtree(out_path)
for i in range(opt.count):
x = int(i / opt.count * dst_width) - margin
if x < 0:
x += dst_width
crops.append((x, y0, x + dst_width + margin + margin, y0 + dst_height + margin + margin,))
path = os.path.join(out_path, chr(97 + i))
os.makedirs(path)
paths.append(path)
max_i = opt.max
dataset = []
for i, fn in enumerate(sorted(glob.glob(os.path.join(opt.folder, '*.png')))):
if i >= max_i:
break
out_fn = "frame_{:05d}.png".format(i + 1)
if opt.no_clobber and os.path.exists(os.path.join(paths[0], out_fn)):
continue
dataset.append((i, fn,))
def build_thumbnail(i, fn):
out_fn = "frame_{:05d}.png".format(i + 1)
if (i % 100) == 0:
print("{}...".format(i))
canvas = Image.new('RGB', (int(src_width + dst_width + margin), src_height,))
image = Image.open(fn)
canvas.paste(image, (0, 0))
canvas.paste(image, (src_width, 0))
for n, path in enumerate(paths):
image.crop(crops[n]).save(os.path.join(path, out_fn))
chunksize = 3
with Pool(processes=cpu_count()) as pool:
pool.starmap(build_thumbnail, dataset, chunksize)
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