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train: fixed preprocess image ratio

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This commit is contained in:
Milly 2022-10-20 16:53:46 +09:00
parent 7f8ab1ee8f
commit 9681419e42
1 changed files with 35 additions and 19 deletions
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54
modules/textual_inversion/preprocess.py
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@ -1,5 +1,6 @@
import os
from PIL import Image, ImageOps
import math
import platform
import sys
import tqdm
@ -38,6 +39,8 @@ def preprocess_work(process_src, process_dst, process_width, process_height, pro
height = process_height
src = os.path.abspath(process_src)
dst = os.path.abspath(process_dst)
split_threshold = 0.5
overlap_ratio = 0.2
assert src != dst, 'same directory specified as source and destination'
@ -78,6 +81,29 @@ def preprocess_work(process_src, process_dst, process_width, process_height, pro
if process_flip:
save_pic_with_caption(ImageOps.mirror(image), index)
def split_pic(image, inverse_xy):
if inverse_xy:
from_w, from_h = image.height, image.width
to_w, to_h = height, width
else:
from_w, from_h = image.width, image.height
to_w, to_h = width, height
h = from_h * to_w // from_w
if inverse_xy:
image = image.resize((h, to_w))
else:
image = image.resize((to_w, h))
split_count = math.ceil((h - to_h * overlap_ratio) / (to_h * (1.0 - overlap_ratio)))
y_step = (h - to_h) / (split_count - 1)
for i in range(split_count):
y = int(y_step * i)
if inverse_xy:
splitted = image.crop((y, 0, y + to_h, to_w))
else:
splitted = image.crop((0, y, to_w, y + to_h))
yield splitted
for index, imagefile in enumerate(tqdm.tqdm(files)):
subindex = [0]
filename = os.path.join(src, imagefile)
@ -89,26 +115,16 @@ def preprocess_work(process_src, process_dst, process_width, process_height, pro
if shared.state.interrupted:
break
ratio = img.height / img.width
is_tall = ratio > 1.35
is_wide = ratio < 1 / 1.35
if img.height > img.width:
ratio = (img.width * height) / (img.height * width)
inverse_xy = False
else:
ratio = (img.height * width) / (img.width * height)
inverse_xy = True
if process_split and is_tall:
img = img.resize((width, height * img.height // img.width))
top = img.crop((0, 0, width, height))
save_pic(top, index)
bot = img.crop((0, img.height - height, width, img.height))
save_pic(bot, index)
elif process_split and is_wide:
img = img.resize((width * img.width // img.height, height))
left = img.crop((0, 0, width, height))
save_pic(left, index)
right = img.crop((img.width - width, 0, img.width, height))
save_pic(right, index)
if process_split and ratio < 1.0 and ratio <= split_threshold:
for splitted in split_pic(img, inverse_xy):
save_pic(splitted, index)
else:
img = images.resize_image(1, img, width, height)
save_pic(img, index)