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"""
Crop images to prepare for training
"""
import click
import cv2 as cv
from PIL import Image, ImageOps, ImageFilter
from app.settings import types
from app.utils import click_utils
from app.settings import app_cfg as cfg
"""
Filter Q-Down Q-Up Speed
NEAREST ⭐⭐⭐⭐⭐
BOX ⭐ ⭐⭐⭐⭐
BILINEAR ⭐ ⭐ ⭐⭐⭐
HAMMING ⭐⭐ ⭐⭐⭐
BICUBIC ⭐⭐⭐ ⭐⭐⭐ ⭐⭐
LANCZOS ⭐⭐⭐⭐ ⭐⭐⭐⭐ ⭐
"""
methods = {
'lanczos': Image.LANCZOS,
'bicubic': Image.BICUBIC,
'hamming': Image.HAMMING,
'bileaner': Image.BILINEAR,
'box': Image.BOX,
'nearest': Image.NEAREST
}
centerings = {
'tl': (0.0, 0.0),
'tc': (0.5, 0.0),
'tr': (0.0, 0.0),
'lc': (0.0, 0.5),
'cc': (0.5, 0.5),
'rc': (1.0, 0.5),
'bl': (0.0, 1.0),
'bc': (1.0, 0.5),
'br': (1.0, 1.0)
}
@click.command()
@click.option('-i', '--input', 'opt_dir_in', required=True,
help='Input directory')
@click.option('-o', '--output', 'opt_dir_out', required=True,
help='Output directory')
@click.option('-e', '--ext', 'opt_glob_ext',
default='png', type=click.Choice(['jpg', 'png']),
help='File glob ext')
@click.option('--size', 'opt_size',
type=(int, int), default=(256, 256),
help='Output image size (square)')
@click.option('--method', 'opt_scale_method',
type=click.Choice(methods.keys()),
default='lanczos',
help='Scaling method to use')
@click.option('--equalize', 'opt_equalize', is_flag=True,
help='Equalize historgram')
@click.option('--sharpen', 'opt_sharpen', is_flag=True,
help='Unsharp mask')
@click.option('--center', 'opt_center', default='cc', type=click.Choice(centerings.keys()),
help='Crop focal point')
@click.option('--slice', 'opt_slice', type=(int, int), default=(None, None),
help='Slice the input list')
@click.pass_context
def cli(ctx, opt_dir_in, opt_dir_out, opt_glob_ext, opt_size, opt_scale_method,
opt_equalize, opt_sharpen, opt_center, opt_slice):
"""Crop, mirror images"""
import os
from os.path import join
from pathlib import Path
from glob import glob
from tqdm import tqdm
from app.utils import logger_utils, file_utils, im_utils
# -------------------------------------------------
# init
log = logger_utils.Logger.getLogger()
centering = centerings[opt_center]
# -------------------------------------------------
# process here
# get list of files to process
fp_ims = glob(join(opt_dir_in, '*.{}'.format(opt_glob_ext)))
if opt_slice:
fp_ims = fp_ims[opt_slice[0]:opt_slice[1]]
log.info('processing {:,} files'.format(len(fp_ims)))
# set scale method
scale_method = methods[opt_scale_method]
# ensure output dir exists
file_utils.mkdirs(opt_dir_out)
# resize and save images
for fp_im in tqdm(fp_ims):
try:
im = Image.open(fp_im).convert('RGB')
im.verify()
except Exception as e:
log.warn('Could not open: {}'.format(fp_im))
log.error(e)
continue
im = ImageOps.fit(im, opt_size, method=scale_method, centering=centering)
if opt_equalize:
im_np = im_utils.pil2np(im)
im_np_eq = eq_hist_yuv(im_np)
im_np = cv.addWeighted(im_np_eq, 0.35, im_np, 0.65, 0)
im = im_utils.np2pil(im_np)
if opt_sharpen:
im = im.filter(ImageFilter.UnsharpMask)
fp_out = join(opt_dir_out, Path(fp_im).name)
im.save(fp_out)
def eq_hist_yuv(im):
im_yuv = cv.cvtColor(im, cv.COLOR_BGR2YUV)
im_yuv[:,:,0] = cv.equalizeHist(im_yuv[:,:,0])
return cv.cvtColor(im_yuv, cv.COLOR_YUV2BGR)
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