65 lines
2.1 KiB
Python
65 lines
2.1 KiB
Python
import torch
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import numpy as np
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from PIL import Image
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import base64
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from io import BytesIO
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import re
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class WebROICapture:
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def __init__(self):
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pass
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@classmethod
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def INPUT_TYPES(s):
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return {
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"required": {
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# 必须有这个输入项，前端JS才会把图片数据塞进来
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"image_data": ("STRING", {"default": "", "multiline": True}),
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},
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"optional": {
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# 用作触发器，每次数字变化时触发
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"trigger_always": ("INT", {"default": 0, "min": 0, "max": 0xffffffffffffffff, "forceInput": True}),
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}
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}
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RETURN_TYPES = ("IMAGE",)
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RETURN_NAMES = ("image",)
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FUNCTION = "capture_screen"
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CATEGORY = "WebROI"
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def capture_screen(self, image_data, trigger_always=0):
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try:
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# 1. 检查数据是否为空
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if not image_data or "," not in image_data:
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# 返回一张黑图防止报错
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print("⚠️ WebROI: Waiting for image data...")
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empty_img = torch.zeros((1, 512, 512, 3), dtype=torch.float32)
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return (empty_img,)
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# 2. 解码 Base64
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base64_data = image_data.split(",")[1]
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image_bytes = base64.b64decode(base64_data)
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img = Image.open(BytesIO(image_bytes))
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# 3. 转换为 ComfyUI 格式 (Tensor)
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img = img.convert("RGB")
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img_np = np.array(img).astype(np.float32) / 255.0
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img_tensor = torch.from_numpy(img_np)[None,]
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return (img_tensor,)
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except Exception as e:
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print(f"❌ WebROI Error: {e}")
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empty_img = torch.zeros((1, 512, 512, 3), dtype=torch.float32)
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return (empty_img,)
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# 节点映射名称，JS 必须用这个名字 "WebROICapture" 才能找到它
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NODE_CLASS_MAPPINGS = {
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"WebROICapture": WebROICapture
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}
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NODE_DISPLAY_NAME_MAPPINGS = {
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"WebROICapture": "🖥️ Web ROI Capture"
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}
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