CV：基于keras利用cv2自带两步检测法对《跑男第六季第五期》之如花片段(或调用摄像头)进行实时性别脸部表情检测

CV：基于keras利用cv2自带两步检测法对《跑男第六季第五期》之如花片段(或调用摄像头)进行实时性别&脸部表情检测

输出结果

设计思路

核心代码

输出结果

设计思路

核心代码

from statistics import modeimport cv2
from keras.models import load_model
import numpy as npdetection_model_path = '../trained_models/detection_models/haarcascade_frontalface_default.xml'emotion_model_path = '../trained_models/emotion_models/fer2013_mini_XCEPTION.102-0.66.hdf5'
gender_model_path = '../trained_models/gender_models/simple_CNN.81-0.96.hdf5'
emotion_labels = get_labels('fer2013')
gender_labels = get_labels('imdb')
font = cv2.FONT_HERSHEY_SIMPLEXframe_window = 10
gender_offsets = (30, 60)
emotion_offsets = (20, 40)face_detection = load_detection_model(detection_model_path)
emotion_classifier = load_model(emotion_model_path, compile=False)
gender_classifier = load_model(gender_model_path, compile=False)emotion_target_size = emotion_classifier.input_shape[1:3]
gender_target_size = gender_classifier.input_shape[1:3]gender_window = []
emotion_window = []cv2.namedWindow('window_frame_by_Jason_Niu')
# video_capture = cv2.VideoCapture(0)
video_capture = cv2.VideoCapture("F:\File_Python\Python_example\YOLOv3_use_TF\RunMan5.mp4")
while True:bgr_image = video_capture.read()[1]gray_image = cv2.cvtColor(bgr_image, cv2.COLOR_BGR2GRAY) #分别将读取的图像进行灰化、RGB化处理rgb_image = cv2.cvtColor(bgr_image, cv2.COLOR_BGR2RGB)faces = detect_faces(face_detection, gray_image)  for face_coordinates in faces:x1, x2, y1, y2 = apply_offsets(face_coordinates, gender_offsets) rgb_face = rgb_image[y1:y2, x1:x2]  x1, x2, y1, y2 = apply_offsets(face_coordinates, emotion_offsets)gray_face = gray_image[y1:y2, x1:x2]try:rgb_face = cv2.resize(rgb_face, (gender_target_size))gray_face = cv2.resize(gray_face, (emotion_target_size))except:continuegray_face = preprocess_input(gray_face, False)  gray_face = np.expand_dims(gray_face, 0)  gray_face = np.expand_dims(gray_face, -1)emotion_label_arg = np.argmax(emotion_classifier.predict(gray_face)) emotion_text = emotion_labels[emotion_label_arg] emotion_window.append(emotion_text)     rgb_face = np.expand_dims(rgb_face, 0)rgb_face = preprocess_input(rgb_face, False)gender_prediction = gender_classifier.predict(rgb_face) gender_label_arg = np.argmax(gender_prediction)gender_text = gender_labels[gender_label_arg]gender_window.append(gender_text)if len(gender_window) > frame_window: emotion_window.pop(0)         gender_window.pop(0)try:emotion_mode = mode(emotion_window)gender_mode = mode(gender_window)except:continueif gender_text == gender_labels[0]:color = (0, 0, 255)else:color = (255, 0, 0)draw_bounding_box(face_coordinates, rgb_image, color) draw_text(face_coordinates, rgb_image, gender_mode,   color, 0, -20, 1, 4)draw_text(face_coordinates, rgb_image, emotion_mode,color, 0, -45, 1, 4)bgr_image = cv2.cvtColor(rgb_image, cv2.COLOR_RGB2BGR)  cv2.namedWindow("window_frame_by_Jason_Niu",0);cv2.resizeWindow("window_frame_by_Jason_Niu", 640, 380);cv2.imshow('window_frame_by_Jason_Niu', bgr_image)if cv2.waitKey(1) & 0xFF == ord('q'):break

CV：基于keras利用cv2自带两步检测法对《跑男第六季第五期》之如花片段(或调用摄像头)进行实时性别脸部表情检测相关推荐

CV：利用cv2自带两步法haarcascade_frontalcatface.xml实现对猫脸检测
CV:利用cv2自带两步法haarcascade_frontalcatface.xml实现对猫脸检测目录输出结果实现代码输出结果实现代码 @author: niu ''' import cv ...
CV：利用cv2自带两步法haarcascade_frontalface_default.xml、_smile.xml实现对人脸、笑脸同时检测
CV:利用cv2自带两步法haarcascade_frontalface_default.xml._smile.xml实现对人脸.笑脸同时检测目录输出结果实现代码输出结果实现代码 #CV:利 ...
Keras之CNN：基于Keras利用cv2建立训练存储卷积神经网络模型(2+1)并调用摄像头进行实时人脸识别
Keras之CNN:基于Keras利用cv2建立训练存储卷积神经网络模型(2+1)并调用摄像头进行实时人脸识别目录输出结果设计思路核心代码输出结果设计思路核心代码 # -*- codin ...
CV：基于Keras利用训练好的hdf5模型进行目标检测实现输出模型中的脸部表情或性别的gradcam(可视化)
CV:基于Keras利用训练好的hdf5模型进行目标检测实现输出模型中的脸部表情或性别的gradcam(可视化) 目录设计思路核心代码设计思路核心代码 #CV:基于keras利用训练好的hdf ...
CV：基于Keras利用CNN主流架构之mini_XCEPTION训练情感分类模型hdf5并保存到指定文件夹下
CV:基于Keras利用CNN主流架构之mini_XCEPTION训练情感分类模型hdf5并保存到指定文件夹下目录图示过程核心代码图示过程核心代码 def mini_XCEPTION(inp ...
CV：基于Keras利用CNN主流架构之mini_XCEPTION训练性别分类模型hdf5并保存到指定文件夹下
CV:基于Keras利用CNN主流架构之mini_XCEPTION训练性别分类模型hdf5并保存到指定文件夹下目录图示过程核心代码图示过程核心代码 from keras.callbacks ...
基于路网和GeoPandas的高斯两步移动搜索法可达性分析
import warnings warnings.filterwarnings("ignore") import geopandas as gpd import pandas as ...
PS利用调整图层只需两步为偏黄肤色MM调出水嫩效果
1.打开原图,在图层调板上-创建新的调整图层-可选颜色,红色(青-20,洋红+15,黄-15,黑+15,方法:绝对);黄色(青+100,洋红+15,黄-15,黑-15,方法:绝对). 2.按键盘,ct ...
AAAI2021论文：一个高性能3-D目标两步检测法Voxel R-CNN
点击上方"3D视觉工坊",选择"星标" 干货第一时间送达作者丨黄浴@知乎来源丨https://zhuanlan.zhihu.com/p/3453649291 ...

CV：基于keras利用cv2自带两步检测法对《跑男第六季第五期》之如花片段(或调用摄像头)进行实时性别脸部表情检测

输出结果

设计思路

核心代码

CV：基于keras利用cv2自带两步检测法对《跑男第六季第五期》之如花片段(或调用摄像头)进行实时性别脸部表情检测相关推荐

最新文章

热门文章