chengxuan.cx
21187a02e4
BatchImageResizeProcessor:load images from input path and resize it SingleImagePathLoader:load single image from path SingleImageUrlLoader:load single image from url
87 lines
2.9 KiB
Python
87 lines
2.9 KiB
Python
from .batch_resize_loader import batch_load_and_resize
|
|
import torchvision.transforms as transforms
|
|
import cv2
|
|
import requests
|
|
import numpy as np
|
|
|
|
class BatchImageResizeProcessor:
|
|
@classmethod
|
|
def INPUT_TYPES(s):
|
|
return {"required":
|
|
{
|
|
"input_path": ("STRING", { "default": "" }),
|
|
"output_path": ("STRING", { "default": ""}),
|
|
"output_prefix": ("STRING", {"default": ""}),
|
|
"size": (["512*768", "512*512", "768*768"],)
|
|
},
|
|
}
|
|
RETURN_TYPES = ("STRING",)
|
|
FUNCTION = "batch_load"
|
|
OUTPUT_IS_LIST = (True,)
|
|
CATEGORY = "Tools"
|
|
|
|
def batch_load(self, input_path, output_path, output_prefix, size):
|
|
if size == "512*768":
|
|
return (batch_load_and_resize(input_path,output_path,output_prefix,512,768),)
|
|
if size == "512*512":
|
|
return (batch_load_and_resize(input_path,output_path,output_prefix,512,512),)
|
|
if size == "768*768":
|
|
return (batch_load_and_resize(input_path,output_path,output_prefix,768,768),)
|
|
return (None,)
|
|
|
|
class SingleImagePathLoader:
|
|
@classmethod
|
|
def INPUT_TYPES(s):
|
|
return {"required":
|
|
{
|
|
"path": ("STRING", { "default": "" }),
|
|
},
|
|
}
|
|
RETURN_TYPES = ("IMAGE",)
|
|
FUNCTION = "load"
|
|
CATEGORY = "Tools"
|
|
|
|
def load(self, path):
|
|
transf = transforms.ToTensor()
|
|
image = cv2.imread(path, cv2.IMREAD_UNCHANGED)
|
|
image_rgb = cv2.cvtColor(image, cv2.COLOR_BGR2RGB) if image.ndim == 3 else image
|
|
image = transf(image_rgb).permute(1,2,0).unsqueeze(0)
|
|
return (image,)
|
|
|
|
class SingleImageUrlLoader:
|
|
@classmethod
|
|
def INPUT_TYPES(s):
|
|
return {"required":
|
|
{
|
|
"url": ("STRING", { "default": "" }),
|
|
},
|
|
}
|
|
RETURN_TYPES = ("IMAGE",)
|
|
FUNCTION = "load"
|
|
CATEGORY = "Tools"
|
|
|
|
def load(self, url):
|
|
# 使用 requests 获取图像数据
|
|
response = requests.get(url)
|
|
# 将图像数据转换为 NumPy 数组
|
|
img_array = np.frombuffer(response.content, dtype=np.uint8)
|
|
# 使用 cv2.imdecode 解码图像
|
|
transf = transforms.ToTensor()
|
|
image = cv2.imdecode(img_array, cv2.IMREAD_COLOR)
|
|
|
|
image_rgb = cv2.cvtColor(image, cv2.COLOR_BGR2RGB) if image.ndim == 3 else image
|
|
image = transf(image_rgb).permute(1,2,0).unsqueeze(0)
|
|
return (image,)
|
|
|
|
NODE_CLASS_MAPPINGS = {
|
|
"CDL.BatchImageResizeProcessor": BatchImageResizeProcessor,
|
|
"CDL.SingleImagePathLoader": SingleImagePathLoader,
|
|
"CDL.SingleImageUrlLoader": SingleImageUrlLoader,
|
|
}
|
|
|
|
NODE_DISPLAY_NAME_MAPPINGS = {
|
|
"CDL.BatchImageResizeProcessor": "BatchImageResizeProcessor",
|
|
"CDL.SingleImagePathLoader": "SingleImagePathLoader",
|
|
"CDL.SingleImageUrlLoader": "SingleImageUrlLoader",
|
|
}
|