1 files changed, 0 insertions, 150 deletions
diff --git a/megapixels/commands/cv/resize.py b/megapixels/commands/cv/resize.py
deleted file mode 100644
index 7409ee6f..00000000
--- a/megapixels/commands/cv/resize.py
+++ /dev/null
@@ -1,150 +0,0 @@
-"""
-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='Max output size')
-@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.option('-t', '--threads', 'opt_threads', default=8,
-  help='Number of threads')
-@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, opt_threads):
-  """Crop, mirror images"""
-  
-  import os
-  from os.path import join
-  from pathlib import Path
-  from glob import glob
-  from tqdm import tqdm
-  from multiprocessing.dummy import Pool as ThreadPool
-  from functools import partial
-
-  from app.utils import logger_utils, file_utils, im_utils
-  
-  # -------------------------------------------------
-  # init
-
-  log = logger_utils.Logger.getLogger()
-
-
-  # -------------------------------------------------
-  # process here
-
-  def pool_resize(fp_im, opt_size, scale_method):
-    # Threaded image resize function
-    try:
-      pbar.update(1)
-      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)
-        return False
-
-      #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)
-      return True
-    except:
-      return False
-
-  #centering = centerings[opt_center]
-  #scale_method = methods[opt_scale_method]
-
-  # 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)))
-  
-  
-  # ensure output dir exists
-  file_utils.mkdirs(opt_dir_out)
-
-  # setup multithreading
-  pbar = tqdm(total=len(fp_ims))
-  #pool_resize = partial(pool_resize, opt_size=opt_size, scale_method=scale_method, centering=centering)
-  pool_resize = partial(pool_resize, opt_size=opt_size)
-  #result_list = pool.map(prod_x, data_list)
-  pool = ThreadPool(opt_threads) 
-  with tqdm(total=len(fp_ims)) as pbar:
-    results = pool.map(pool_resize, fp_ims)
-  pbar.close()
-
-  log.info('Resized: {} / {} images'.format(results.count(True), len(fp_ims)))
-
-
-
-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)