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add crop to ResizeImage

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kijai 2024-08-14 01:48:19 +03:00
parent eaed0d3593
commit 7e989daae3
1 changed files with 57 additions and 22 deletions
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79
nodes/image_nodes.py
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@ -2,6 +2,7 @@ import numpy as np
import time
import torch
import torch.nn.functional as F
import torchvision.transforms as T
import random
import math
import os
@ -1506,6 +1507,7 @@ class ImageResizeKJ:
"width_input": ("INT", { "forceInput": True}),
"height_input": ("INT", { "forceInput": True}),
"get_image_size": ("IMAGE",),
"crop": (["disabled", "center", "top", "bottom", "left", "right"],),
}
}
@ -1525,43 +1527,76 @@ Keep proportions keeps the aspect ratio of the image, by
highest dimension.
"""
def resize(self, image, width, height, keep_proportion, upscale_method, divisible_by, width_input=None, height_input=None, get_image_size=None):
def resize(self, image, width, height, keep_proportion, upscale_method, divisible_by,
width_input=None, height_input=None, get_image_size=None, crop="disabled"):
B, H, W, C = image.shape
if width_input:
width = width_input
if height_input:
height = height_input
if get_image_size is not None:
_, height, width, _ = get_image_size.shape
if keep_proportion and get_image_size is None:
# If one of the dimensions is zero, calculate it to maintain the aspect ratio
if width == 0 and height != 0:
ratio = height / H
width = round(W * ratio)
elif height == 0 and width != 0:
ratio = width / W
height = round(H * ratio)
elif width != 0 and height != 0:
# Scale based on which dimension is smaller in proportion to the desired dimensions
ratio = min(width / W, height / H)
width = round(W * ratio)
height = round(H * ratio)
# If one of the dimensions is zero, calculate it to maintain the aspect ratio
if width == 0 and height != 0:
ratio = height / H
width = round(W * ratio)
elif height == 0 and width != 0:
ratio = width / W
height = round(H * ratio)
elif width != 0 and height != 0:
# Scale based on which dimension is smaller in proportion to the desired dimensions
ratio = min(width / W, height / H)
width = round(W * ratio)
height = round(H * ratio)
else:
if width == 0:
width = W
if height == 0:
height = H
if divisible_by > 1 and get_image_size is None:
width = width - (width % divisible_by)
height = height - (height % divisible_by)
image = image.movedim(-1,1)
scaled = common_upscale(image, width, height, upscale_method, 'disabled')
scaled = scaled.movedim(1,-1)
if crop != "disabled":
if crop == "pad":
if H != W:
if H > W:
pad = (H - W) // 2
pad = (pad, 0, pad, 0)
elif W > H:
pad = (W - H) // 2
pad = (0, pad, 0, pad)
output = T.functional.pad(output, pad, fill=0)
else:
#crop_size = min(height, width)
x = (W-width) // 2
y = (H-height) // 2
if "top" in crop:
y = 0
elif "bottom" in crop:
y = H-height
elif "left" in crop:
x = 0
elif "right" in crop:
x = W-width
return(scaled, scaled.shape[2], scaled.shape[1],)
x2 = x+width
y2 = y+height
image = image[:, y:y2, x:x2, :]
else:
if divisible_by > 1 and get_image_size is None:
width = width - (width % divisible_by)
height = height - (height % divisible_by)
image = image.movedim(-1,1)
image = common_upscale(image, width, height, upscale_method, "disabled")
image = image.movedim(1,-1)
return(image, image.shape[2], image.shape[1],)
class LoadAndResizeImage:
_color_channels = ["alpha", "red", "green", "blue"]