# -*- coding: utf-8 -*-
"""
Created on Sun Apr 10 17:11:06 2022

@author: liujianjian
"""
import gradio as gr
import time
import cv2

#############這里需要添加絕對路徑###################
pathf = './haarcascades/haarcascade_frontalface_alt.xml'
pathe = './haarcascades/haarcascade_eye.xml'
###########################################

1.上傳圖片

上傳圖片采用gradio，直接上傳即可，或者可加入demo圖片，供選擇。

demo = gr.Interface(
    face_rec,
    gr.Image(),
    "image",    
    examples=["images/1.jpg", "images/2.jpg", "images/3.jpg", "images/4.jpg"],
)

2.人臉識別

人臉識別簡單，復制配置文件到本地，加載進去即可。

    # 轉(zhuǎn)為灰度圖
    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
    # 創(chuàng)建人臉識別分類器
    face_cascade = cv2.CascadeClassifier('./haarcascades/haarcascade_frontalface_default.xml')
    face_cascade.load('./haarcascades/haarcascade_frontalface_default.xml')
    # 創(chuàng)建人眼識別分類器
    eye_cascade = cv2.CascadeClassifier('./haarcascades/haarcascade_eye.xml')
    face_cascade.load('./haarcascades/haarcascade_eye.xml')
    # 檢測人臉
    faces = face_cascade.detectMultiScale(gray,
                                          scaleFactor=1.15,
                                          minNeighbors=3,
                                          flags=cv2.IMREAD_GRAYSCALE,
                                          minSize=(40, 40))

3.繪制方框

就是繪制方框了，繪制顯示即可。

    # 在人臉周圍繪制方框
    for (x, y, w, h) in faces:
        img = cv2.rectangle(img, (x, y), (x + w, y + h), (0, 0, 255), 2)
    # 進行眼部檢測
    eyes = eye_cascade.detectMultiScale(gray,
                                        scaleFactor=1.1,
                                        minNeighbors=3,
                                        flags=cv2.IMREAD_GRAYSCALE,
                                        minSize=(3, 3))
    for (ex, ey, ew, eh) in eyes:
        # 繪制眼部方框
        img = cv2.rectangle(img, (ex, ey), (ex + ew, ey + eh), (0, 255, 0), 2)

4.保存預測結果

調(diào)用cv2.imwrite即可，注意圖像轉(zhuǎn)換。

cv2.imwrite(f"result/{time.time_ns()}.jpg", cv2.cvtColor(img, cv2.COLOR_BGR2RGB))

5.最后運行gradio的lauch

if __name__ == "__main__":
    demo.launch()

完整代碼

# -*- coding: utf-8 -*-
"""
Created on Sun April 4 17:11:06 2023

@author: liujianjian
"""
import gradio as gr
import time
import cv2

#############這里需要添加絕對路徑###################
pathf = './haarcascades/haarcascade_frontalface_alt.xml'
pathe = './haarcascades/haarcascade_eye.xml'
###########################################

# 人臉檢測函數(shù)
def face_rec(img):
    # 轉(zhuǎn)為灰度圖
    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
    # 創(chuàng)建人臉識別分類器
    face_cascade = cv2.CascadeClassifier('./haarcascades/haarcascade_frontalface_default.xml')
    face_cascade.load('./haarcascades/haarcascade_frontalface_default.xml')
    # 創(chuàng)建人眼識別分類器
    eye_cascade = cv2.CascadeClassifier('./haarcascades/haarcascade_eye.xml')
    face_cascade.load('./haarcascades/haarcascade_eye.xml')
    # 檢測人臉
    faces = face_cascade.detectMultiScale(gray,
                                          scaleFactor=1.15,
                                          minNeighbors=3,
                                          flags=cv2.IMREAD_GRAYSCALE,
                                          minSize=(40, 40))

    # 在人臉周圍繪制方框
    for (x, y, w, h) in faces:
        img = cv2.rectangle(img, (x, y), (x + w, y + h), (0, 0, 255), 2)
    # 進行眼部檢測
    eyes = eye_cascade.detectMultiScale(gray,
                                        scaleFactor=1.1,
                                        minNeighbors=3,
                                        flags=cv2.IMREAD_GRAYSCALE,
                                        minSize=(3, 3))
    for (ex, ey, ew, eh) in eyes:
        # 繪制眼部方框
        img = cv2.rectangle(img, (ex, ey), (ex + ew, ey + eh), (0, 255, 0), 2)
    
    cv2.imwrite(f"result/{time.time_ns()}.jpg", cv2.cvtColor(img, cv2.COLOR_BGR2RGB))
    return img


demo = gr.Interface(
    face_rec,
    gr.Image(),
    "image",    
    examples=["images/1.jpg", "images/2.jpg", "images/3.jpg", "images/4.jpg"],
)

if __name__ == "__main__":
    demo.launch()

項目地址： https://github.com/livingbody/face_det_cv2

以上就是基于OpenCV和Gradio實現(xiàn)簡單的人臉識別詳解的詳細內(nèi)容，更多關于OpenCV Gradio人臉識別的資料請關注腳本之家其它相關文章！

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