why heroku memory increase in flask? error code : H14

Question

I don`t speak english well. but I want to solve this error. why heroku memory continually increase?(when i use my web app)

heroku error code is H14 like this :

 Process running mem=541M(105.8%)
 Error R14 (Memory quota exceeded)
 ========== after app running ===============
 Process running mem=831M(162.4%)
 Error R14 (Memory quota exceeded)
 ========== after app running ===============
 Process running mem=856M(167.3%)
 Error R14 (Memory quota exceeded)

I want to memory restore(?) (like 541M > 831M > 541M) but, memory always increase ,not decrease ,so I finally run heroku restart.

I don't want to restart, I want to decrease memory. What should I do? sorry, i`m very not good at english. thanks.

this is my python code.

from flask import Flask, render_template, request
import cv2
import numpy
import gc
import face_detection
import predict

from mtcnn.mtcnn import MTCNN
from keras.models import load_model

app = Flask(__name__,  static_url_path="/static")



print("시작 ")
detector = MTCNN()
model = load_model('./static/keras_model/1layer_128_1_best(1)-SGD.h5')
print("로딩됨")
@app.route('/')

def render_file():
    return render_template('upload.html')

@app.route('/file_uploaded',methods = ['GET', 'POST'])
def upload_file():
    if request.method == 'POST':  # POST 방식으로 전달된 경우
        f = request.files['upload_image'].read()
        # # 파일 객체 혹은 파일 스트림을 가져오고, html 파일에서 넘겨지는 값의 이름을 file1으로 했기 때문에 file1임.
        # 업로드된 파일을 특정 폴더에저장하고,

        # convert string data to numpy array
        npimg = numpy.fromstring(f, dtype=numpy.uint8)
        # convert numpy array to image
        img = cv2.imdecode(npimg, cv2.IMREAD_COLOR)

        if img.shape[0] > 500 or img.shape[1] > 500:
            if img.shape[0] > img.shape[1]:
                bigger = img.shape[0]
            else :
                bigger = img.shape[1]
            scale_percent =  (bigger - 500)  *100 / bigger
            width = int(img.shape[1] * (100-scale_percent) / 100)
            height = int(img.shape[0] * (100- scale_percent) / 100)
            dim = (width, height)
            img = cv2.resize(img, dim, interpolation = cv2.INTER_AREA)
        print(img.shape)


        # 이거때문에 face_extract 때문에 올라감
        face_extract = face_detection.input_image(detector, img)
        print("얼굴추출 완료")
        if len(face_extract) == 0:
            print("얼굴인식 못했음")
            return render_template('fail_back.html')
        else:
            result, k = predict.prediction(face_extract, model)

            iu_percent = round(float(k[0][0] * 100), 3)
            suzy_percent = round(float(k[0][1]) * 100, 3)

            # return send_file(file_object, mimetype='image/jpeg')
            if iu_percent > suzy_percent:
                return render_template('result.html', image_file="image/result_iu.jpg", not_similler="수지",
                                       not_similler_percent=suzy_percent, similler="아이유", similler_percent=iu_percent)
            else:
                return render_template('result.html', image_file="image/result_suzy.jpg", not_similler="아이유",
                                       not_similler_percent=iu_percent, similler="수지", similler_percent=suzy_percent)
    else:
        return render_template('fail_back.html')
if __name__ == '__main__':
    # debug를 True로 세팅하면, 해당 서버 세팅 후에 코드가 바뀌어도 문제없이 실행됨.
    app.run(threaded=True)

I post my code. my code pick one person. It tells which one of the two looks more like.

my app site : simstest.herokuapp.com

but, When you use a site, the Heroku memory increases and the site restarts.

oh, I find memory increaseing method.

import gc
def face_eye_trace(data,result_list):

  for result in result_list :


      x = int(result['box'][0])
      y = int(result['box'][1])
      if x < 0:
          x = 0
      if y < 0:
          y = 0
      width = int(result['box'][2])
      height = int(result['box'][3])

      img3 = data[y:y + height, x:x + width]

      return img3

def input_image(input_detector,pixels_image):

  detector = input_detector
  pixels = pixels_image

  try:

      # 이것때문에 memory 증가===============
      faces = detector.detect_faces(pixels)

      print(len(faces))

      if len(faces) == 0:
          return []
      elif len(faces) == 1 :
          face_detection = face_eye_trace(pixels,faces)
      else :
          print("다수의 얼굴이 인식되어 종료했습니다.")
          return []
  except:
      print("얼굴 인식을 하지 못하였습니다.")
      return []


  print("detection:" ,gc.collect())

  return face_detection

this code method ' face_detection = face_eye_trace(pixels,faces) ' caused memory increase.

why this method increase memory? and Why don't this automatically return the memory after this method?

why heroku memory increase in flask? error code : H14

Answers (1)

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