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OpenCV(4.1.2) /io/opencv/modules/imgproc/src/color.cpp:182: error: (-215:Assertion failed)._src.empty() in function 'cvtColor' 在人脸检测中

[英]OpenCV(4.1.2) /io/opencv/modules/imgproc/src/color.cpp:182: error: (-215:Assertion failed) !_src.empty() in function 'cvtColor' in face detection

 # -*- coding: utf-8 -*- #face recognition #import the libraries import cv2 #loading the cascades face_cascade = cv2.CascadeClassifier("Haarcascades/haarcascade_frontalface_default.xml") eye_cascade = cv2.CascadeClassifie("Haarcascades/haarcascade_eye.xml") #defining a function that will do the detections def detect(gray, frame): faces = face_cascade.detectMultiScale(gray, 1.3, 5) for(x,y,w,h)in faces: cv2.rectangle(frame, (x,y), (x+w, y+h), (255,0,0), 2) rol_gray = gray[y:y+h, x:x+w] rol_color = frame[y:y+h, x:x+w] eyes = eye_cascade.detectMultiScale(rol_gray, 1.1, 3) for(ex, ey, ew, eh) in eyes: cv2.rectangle(rol_color, (ex, ey), (ex+ew, ey+eh), (0, 255, 0), 2) return frame #doing some face Recognition with the webcam video_capture = cv2.VideoCapture(0) while True: _, frame = video_capture.read() gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY) canvas = detect(gray, frame) cv2.imshow('Video', canvas) if cv2.waitKey(1) & 0xFF == ord('q'): break video_capture.release() cv2.destroyAllWindows()

我在imshow行中遇到错误并给我错误:

 OpenCV(4.1.2) /io/opencv/modules/imgproc/src/color.cpp:182: error: (-215:Assertion failed) !_src.empty() in function 'cvtColor' in face detection

您需要提供CascadeClassifier的完整路径

例如:

#loading the cascades
face_cascade = cv2.CascadeClassifier("/Users/ahmettavli/Downloads/opencv/data/haarcascades/haarcascade_frontalface_default.xml")
eye_cascade = cv2.CascadeClassifie("/Users/ahmettavli/Downloads/opencv/data/haarcascades/haarcascade_eye.xml")

虽然当您更改时,代码正在工作但找不到面孔。

因此,您应该添加:

if len(faces) > 0:

例如:

if len(faces) > 0:
    for (x, y, w, h) in faces:
        cv2.rectangle(frame, (x, y), (x + w, y + h), (255, 0, 0), 2)
        rol_gray = gray[y:y + h, x:x + w]
        rol_color = frame[y:y + h, x:x + w]
        eyes = eye_cascade.detectMultiScale(rol_gray, 1.1, 3)

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