[python][deepface][原创]使用deepface进行性别预测
Posted FL1623863129
tags:
篇首语:本文由小常识网(cha138.com)小编为大家整理,主要介绍了[python][deepface][原创]使用deepface进行性别预测相关的知识,希望对你有一定的参考价值。
from deepface.basemodels import VGGFace
import tensorflow as tf
import cv2
import os
from deepface.detectors import FaceDetector
from deepface.commons import functions
import numpy as np
tf_version = int(tf.__version__.split(".")[0])
if tf_version == 1:
import keras
from keras.models import Model, Sequential
from keras.layers import Convolution2D, Flatten, Activation
elif tf_version == 2:
from tensorflow import keras
from tensorflow.keras.models import Model, Sequential
from tensorflow.keras.layers import Convolution2D, Flatten, Activation
def loadModel(weights='./weights/gender_model_weights.h5'):
model = VGGFace.baseModel()
# --------------------------
classes = 2
base_model_output = Sequential()
base_model_output = Convolution2D(classes, (1, 1), name='predictions')(model.layers[-4].output)
base_model_output = Flatten()(base_model_output)
base_model_output = Activation('softmax')(base_model_output)
# --------------------------
gender_model = Model(inputs=model.input, outputs=base_model_output)
# --------------------------
# load weights
gender_model.load_weights(weights)
return gender_model
detector_backend = 'opencv'
face_detector = FaceDetector.build_model(detector_backend)
gender_model = loadModel()
cap = cv2.VideoCapture(0) # webcam
while True:
ret, img = cap.read()
if img is None:
break
try:
# faces store list of detected_face and region pair
faces = FaceDetector.detect_faces(face_detector, detector_backend, img, align=False)
except: # to avoid exception if no face detected
faces = []
for face, (x, y, w, h) in faces:
if w > 130: # discard small detected faces
roi_img = img[y:y + h, x:x + w]
face_224 = functions.preprocess_face(img=roi_img, target_size=(224, 224), grayscale=False,
enforce_detection=False, detector_backend='opencv')
gender_prediction = gender_model.predict(face_224)[0, :]
if np.argmax(gender_prediction) == 0:
gender = "female"
elif np.argmax(gender_prediction) == 1:
gender = "male"
# print(apparent_age)
cv2.rectangle(img, (x, y), (x + w, y + h), (255, 0, 0), 3) # draw rectangle to main image
cv2.putText(img, 'age='.format(gender), (x - 10, y), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 255)
, 3)
cv2.imshow('result', img)
if cv2.waitKey(1) & 0xFF == ord('q'): # press q to quit
break
# kill open cv things
cap.release()
cv2.destroyAllWindows()
以上是关于[python][deepface][原创]使用deepface进行性别预测的主要内容,如果未能解决你的问题,请参考以下文章
[python][deepface][原创]使用deepface进行性别预测
[python][deepface][原创]使用deepface进行表情识别
[python][deepface][原创]使用deepface进行人脸检测
ModuleNotFoundError:没有名为“deepface”的模块