├── app.py
├── static
│ -
├── templates
│
└── utils
├── __init__.py
├── __pycache__
│ ├── __init__.cpython-36.pyc
│
├── __dataset__
├── __pycache__
│ ├── __init__.cpython-36.pyc
│ ├── fer.cpython-36.pyc
│ ├── _init_.py
│ └── fer.cpython-36.py
├── _init_.py
├── camera.py
├── model.py
├── PythonApplication1.py
當我運行 python -m flask run 時
將 PythonApplication1 匯入為 py1
它首先運行 PythonApplication1 然后它給出錯誤訊息
匯入“應用程式”時，引發了 ImportError。
我不知道為什么 PythonApplication1 先行，雖然我做了 FLASK_APP = app.py。
另外我不知道如何處理錯誤。請幫助我
應用程式
from flask import Flask, render_template, Response
from flask_bootstrap import Bootstrap
from camera import VideoCamera
import pymysql
import PythonApplication1 as py1
app = Flask(__name__)
Bootstrap(app)
if __name__ == '__main__':
app.run(host='127.0.0.1',port=5000, debug=True)
PythonApplication1.py
import sounddevice as sd
from numpy import linalg as LA
import numpy as np
duration = 20
global cnt
global check_cnt
cnt = 0
check_cnt = 0
def print_sound(indata, outdata, frames, time, status):
volume_norm = np.linalg.norm(indata)*10
a = int(volume_norm)
global cnt
global check_cnt
if a <= 28:
cnt = cnt 1
if cnt == 300:
check_cnt = 1
print ("You are too quiet!","Now you're checked", check_cnt, "times");
cnt = 0;
with sd.Stream(callback=print_sound):
sd.sleep(duration * 1000)
初始化檔案
import os
import utils.datasets.fer
import app
相機.py
import cv2
from model import FacialExpressionModel
import sys
import numpy as np
facec = cv2.CascadeClassifier('Haarcascades/haarcascade_frontalface_default.xml')
model = FacialExpressionModel("model.json", "model_weights.h5")
font = cv2.FONT_HERSHEY_SIMPLEX
class VideoCamera(object):
def __init__(self):
#self.video = cv2.VideoCapture('facial_exp.mkv')
self.video = cv2.VideoCapture(0)
def __del__(self):
self.video.release()
# returns camera frames along with bounding boxes and predictions
def get_frame(self):
_, fr = self.video.read()
gray_fr = cv2.cvtColor(fr, cv2.COLOR_BGR2GRAY)
faces = facec.detectMultiScale(gray_fr, 1.3, 5)
for (x, y, w, h) in faces:
fc = gray_fr[y:y h, x:x w]
roi = cv2.resize(fc, (48, 48))
pred = model.predict_emotion(roi[np.newaxis, :, :, np.newaxis])
cv2.putText(fr, pred, (x, y), font, 1, (255, 255, 0), 2)
cv2.rectangle(fr,(x,y),(x w,y h),(255,0,0),2)
_, jpeg = cv2.imencode('.jpg', fr)
return jpeg.tobytes()
模型.py
from tensorflow.keras.models import model_from_json
from tensorflow.python.keras.backend import set_session
import numpy as np
import tensorflow as tf
config = tf.compat.v1.ConfigProto()
config.gpu_options.per_process_gpu_memory_fraction = 0.15
session = tf.compat.v1.Session(config=config)
set_session(session)
class FacialExpressionModel(object):
EMOTIONS_LIST = ["Angry", "Disgust",
"Fear", "Happy",
"Neutral", "Sad",
"Surprise"]
def __init__(self, model_json_file, model_weights_file):
# load model from JSON file
with open(model_json_file, "r") as json_file:
loaded_model_json = json_file.read()
self.loaded_model = model_from_json(loaded_model_json)
# load weights into the new model
self.loaded_model.load_weights(model_weights_file)
#self.loaded_model.compile()
#self.loaded_model._make_predict_function()
def predict_emotion(self, img):
global session
set_session(session)
self.preds = self.loaded_model.predict(img)
return FacialExpressionModel.EMOTIONS_LIST[np.argmax(self.preds)]
我不認為這是一個錯誤訊息，我仍然不明白為什么 PythonApplication1 先拔出
終端告訴我這個
python -m flask run
* Environment: production
WARNING: This is a development server. Do not use it in a
production deployment.
Use a production WSGI server instead.
* Debug mode: off
2021-11-23 21:54:51.825585: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'cudart64_110.dll'; dlerror: cudart64_110.dll not found
2021-11-23 21:54:51.837461: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
2021-11-23 21:54:55.404593: I tensorflow/core/platform/cpu_feature_guard.cc:151] This TensorFlow binary is optimized with
oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX AVX2
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2021-11-23 21:54:55.427262: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library/cuda_driver.cc:269] failed call to cuInit: UNKNOWN ERROR (303)3) /cuda_diagnostics.cc:169] retrieving CUDA diagnostic information for host: DESKTOP-VTL81IN
2021-11-23 21:54:55.457096: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:176] hostname: DESKTOP-VTL81IN/cuda_diagnostics.cc:169] retrieving CUDA diagnostic information for host: DESKTOP-VTL81IN
2021-11-23 21:54:55.464063: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:176] hostname: DESKTOP-VTL81IN
You are too quiet! Now you're checked 1 times
You are too quiet! Now you're checked 2 times
* Running on http://127.0.0.1:5000/ (Press CTRL C to quit)
這是我的結構
uj5u.com熱心網友回復：
如果你不想import PythonApplication1 as py1先走，那么把 import 陳述句放在 app.py 的最后一行。
uj5u.com熱心網友回復：
在 Python 中匯入模塊時，該模塊中的所有內容都在import 時運行。對于大多數情況，要匯入的模塊。只包含類、函式和一些變數。
由于 PythonApplication 模塊中的所有內容都在頂層，因此它在匯入時運行。這是if __name__ == "__main__":您的應用程式檔案中的守衛的目的。
我想您需要做的是將 PythonApplication 中的代碼包裝到一個可以匯入的函式中，然后使用它 from app.py.
轉載請註明出處，本文鏈接：https://www.uj5u.com/qita/365940.html