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nodes.py
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nodes.py
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import sys
import os
import cv2
from PIL import Image, ImageOps
import folder_paths
import torch
import numpy as np
from io import BytesIO
import base64
class LoadImageFromBase64:
@classmethod
def INPUT_TYPES(s):
return {
"required": {
"data": ("STRING", {"default": ""}),
}
}
RETURN_TYPES = ("IMAGE", "MASK")
FUNCTION = "load_image"
CATEGORY = "image"
def convert_color(self, image):
if len(image.shape) > 2 and image.shape[2] >= 4:
return cv2.cvtColor(image, cv2.COLOR_BGRA2RGB)
return cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
def load_image(self, data):
nparr = np.frombuffer(base64.b64decode(data), np.uint8)
result = cv2.imdecode(nparr, cv2.IMREAD_UNCHANGED)
channels = cv2.split(result)
if len(channels) > 3:
mask = channels[3].astype(np.float32) / 255.0
mask = torch.from_numpy(mask)
else:
mask = torch.ones(channels[0].shape, dtype=torch.float32, device="cpu")
result = self.convert_color(result)
result = result.astype(np.float32) / 255.0
image = torch.from_numpy(result)[None,]
return image, mask.unsqueeze(0)
NODE_CLASS_MAPPINGS = {
"LoadImageFromBase64": LoadImageFromBase64,
}
NODE_DISPLAY_NAME_MAPPINGS = {
"LoadImageFromBase64": "Load Image From Base64",
}