1 files changed, 149 insertions, 0 deletions
diff --git a/megapixels/commands/cv/resize.py b/megapixels/commands/cv/resize.py
new file mode 100644
index 00000000..dcd621b3
--- /dev/null
+++ b/megapixels/commands/cv/resize.py
@@ -0,0 +1,149 @@
+"""
+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.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, centering):
+    # 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)
+  #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)