52 lines
1.2 KiB
Python
52 lines
1.2 KiB
Python
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from PIL import Image, ImageFilter, ImageEnhance, ImageOps, ImageDraw, ImageChops, ImageFont
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import numpy as np
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from pyzbar.pyzbar import decode
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def tensor2pil(image):
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return Image.fromarray(np.clip(255. * image.cpu().numpy().squeeze(), 0, 255).astype(np.uint8))
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class IdentifyingQR:
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def __init__(self):
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pass
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@classmethod
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def INPUT_TYPES(cls):
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return {
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"required": {
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"image": ("IMAGE",),
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}
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}
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RETURN_TYPES = ("STRING",)
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FUNCTION = "qr_image_2_string"
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CATEGORY = "lam"
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def qr_image_2_string(self,image):
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import cv2
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img = tensor2pil(image)
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strList=[]
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msg=''
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try:
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# 解码二维码
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for qrcode in decode(img):
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print(qrcode.data.decode('utf-8'))
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strList.append(qrcode.data.decode('utf-8'))
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msg=','.join(strList)
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except Exception as e:
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print(e)
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msg=''
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return (msg,)
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NODE_CLASS_MAPPINGS = {
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"IdentifyingQR": IdentifyingQR
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}
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NODE_DISPLAY_NAME_MAPPINGS = {
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"IdentifyingQR": "二维码识别"
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}
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