Noto Font无法使用Vue与jsPDF一起使用

问题描述

我正在尝试生成一个可以使用jsPDF处理所有语言的PDF。这里的问题是我无法将字体添加到jsPDF。

这就是我所做的。

1. 从Google Noto Fonts获得了字体（到目前为止，我尝试使用NotoSans Regular和NotoSerif Regular）

2. 使用不同的转换器以多种方式转换了.ttf文件，但主要是Github documentation中推荐的转换器 是他们的fontconverter。

3. 修改了文件以导出字体，如下所示：export const Noto = '[Encoded string]';并将其保存为NotoSerif-Regular-normal.js

4. 已将导入内容添加到我的Vue文件中。import Noto from "@/fonts/Noto/NotoSerif-Regular-normal.js";

5. 将字体添加到jsPDF。

   doc.addFiletoVFS("Noto.ttf",Noto);
   doc.addFont("Noto.ttf","Noto","normal");
   doc.setFont("Noto","normal");
   doc.setFontSize(16);
   

但是当我尝试创建PDF时，出现以下错误：

jsPDF PubSub Error Font does not exist in vFS,import fonts or remove declaration doc.addFont('Noto.ttf'). 
Error: Font does not exist in vFS,import fonts or remove declaration doc.addFont('Noto.ttf').

有什么想法吗？我已经尝试过jsPDF和jsPDF.Debug，但它们不能使用此字体。

解决方法

最后，我必须进行一些更改才能实现此目的。首先，font converter对我来说工作不正常。我不得不使用此Base64 Converter 这解决了我的第一个问题。

我遇到的第二个问题是导入中缺少大括号，所以我像这样编辑它：

from flask import Flask,render_template,Response
import numpy as np
import cv2
import pickle
import rtsp
import PIL as Image
import threading
import time
import queue

app = Flask(__name__)
url = 'rtsp://user:[e-mail]:YYYY/stream0/mobotix.mjpeg'
#camera = cv2.VideoCapture(url)  # use 0 for web camera
#  for cctv camera use rtsp://username:password@ip_address:554/user=username_password='password'_channel=channel_number_stream=0.sdp' instead of camera
face_cascade = cv2.CascadeClassifier('cascades\data\haarcascade_frontalface_alt2.xml')
recognizer = cv2.face.LBPHFaceRecognizer_create()
recognizer.read("trainner.yml")

labels = {"person_name": 1}
with open("labels.pickle",'rb') as f:
    og_labels = pickle.load(f)
    labels = {v:k for k,v in og_labels.items()}

class VideoCapture:

  def __init__(self,name):
    self.cap = cv2.VideoCapture(name)
    self.q = queue.Queue()
    t = threading.Thread(target=self._reader)
    t.daemon = True
    t.start()

  # read frames as soon as they are available,keeping only most recent one
  def _reader(self):
    while True:
      ret,frame = self.cap.read()
      if not ret:
        break
      if not self.q.empty():
        try:
          self.q.get_nowait()   # discard previous (unprocessed) frame
        except queue.Empty:
          pass
      self.q.put(frame)

  def read(self):
    return self.q.get()

def gen_frames():
    cap = VideoCapture(url)
    while True:
        time.sleep(.5)   # simulate time between events
        frame = cap.read()
        frame_detection(frame)
        ret,buffer = cv2.imencode('.jpg',frame)
        frame = buffer.tobytes()
        yield (b'--frame\r\n'
               b'Content-Type: image/jpeg\r\n\r\n' + frame + b'\r\n')  # concat frame one by one and show result

def frame_detection(frame):
    gray = cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY)
    faces = face_cascade.detectMultiScale(gray,scaleFactor=1.3,minNeighbors=5)
    for (x,y,w,h) in faces:
      print(x,h)
      roi_gray = gray[y:y+h,x:x+w]
      roi_color = frame[y:y+h,x:x+w]
            
      #recognize?
      id_,conf = recognizer.predict(roi_gray)
      if conf>=45: # and conf <=85:
        print(id_)
        print(labels[id_])
        font = cv2.FONT_HERSHEY_SIMPLEX
        name = labels[id_]
        color = (0,255)
        stroke = 2
        cv2.putText(frame,name,(x,y),font,1,color,stroke,cv2.LINE_AA)

        #img_item = "my-image.png"
        #cv2.imwrite(img_item,roi_gray)

        color = (0,255)
        stroke = 2
        end_cord_x = x + w
        end_cord_y = y + h
        cv2.rectangle(frame,(end_cord_x,end_cord_y),stroke)
        return frame

@app.route('/video_feed')
def video_feed():
    """Video streaming route. Put this in the src attribute of an img tag."""
    return Response(gen_frames(),mimetype='multipart/x-mixed-replace; boundary=frame')


@app.route('/')
def index():
    """Video streaming home page."""
    return render_template('index.html')


if __name__ == '__main__':
    app.run(host='0.0.0.0')

这完全解决了我的问题。