when i try to execute the code i get this error, someone know the solution ?
import cv2
# Method to generate dataset to recognize a person
def generate_dataset(img, id, img_id):
# write image in data dir
cv2.imwrite("data/user."+str(id)+"."+str(img_id)+".jpg", img)
# Method to draw boundary around the detected feature
def draw_boundary(img, classifier, scaleFactor, minNeighbors, color, text):
# Converting image to gray-scale
gray_img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
# detecting features in gray-scale image, returns coordinates, width and height of features
features = classifier.detectMultiScale(gray_img, scaleFactor, minNeighbors)
coords = []
# drawing rectangle around the feature and labeling it
for (x, y, w, h) in features:
cv2.rectangle(img, (x,y), (x+w, y+h), color, 2)
cv2.putText(img, text, (x, y-4), cv2.FONT_HERSHEY_SIMPLEX, 0.8, color, 1, cv2.LINE_AA)
coords = [x, y, w, h]
return coords
# Method to detect the features
def detect(img, faceCascade, img_id):
color = {"blue":(255,0,0), "red":(0,0,255), "green":(0,255,0), "white":(255,255,255)}
coords = draw_boundary(img, faceCascade, 1.1, 10, color['blue'], "Face")
# If feature is detected, the draw_boundary method will return the x,y coordinates and width and height of rectangle else the length of coords will be 0
if len(coords)==4:
# Updating region of interest by cropping image
roi_img = img[coords[1]:coords[1]+coords[3], coords[0]:coords[0]+coords[2]]
# Assign unique id to each user
user_id = 1
# img_id to make the name of each image unique
generate_dataset(roi_img, user_id, img_id)
return img
# Loading classifiers
faceCascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
# Capturing real time video stream. 0 for built-in web-cams, 0 or -1 for external web-cams
video_capture = cv2.VideoCapture(-1)
# Initialize img_id with 0
img_id = 0
while True:
if img_id % 50 == 0:
print("Collected ", img_id," images")
# Reading image from video stream
_, img = video_capture.read()
# Call method we defined above
img = detect(img, faceCascade, img_id)
# Writing processed image in a new window
cv2.imshow("face detection", img)
img_id += 1
if cv2.waitKey(1) & 0xFF == ord('q'):
break
# releasing web-cam
video_capture.release()
# Destroying output window
cv2.destroyAllWindows()
/Face-Detection-Recognition-Using-OpenCV-in-Python-master/collect_training_data.py"
[ERROR:[email protected]] global persistence.cpp:505 cv::FileStorage::Impl::open Can't open file: 'haarcascade_frontalface_default.xml' in read mode
[ERROR:[email protected]] global obsensor_uvc_stream_channel.cpp:156 cv::obsensor::getStreamChannelGroup Camera index out of range
Collected 0 images
Traceback (most recent call last):
File "c:\Users\x\Downloads\Face-Detection-Recognition-Using-OpenCV-in-Python-master (1)\Face-Detection-Recognition-Using-OpenCV-in-Python-master\collect_training_data.py", line 54, in <module>
img = detect(img, faceCascade, img_id)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "c:\Users\x\Downloads\Face-Detection-Recognition-Using-OpenCV-in-Python-master (1)\Face-Detection-Recognition-Using-OpenCV-in-Python-master\collect_training_data.py", line 25, in detect
coords = draw_boundary(img, faceCascade, 1.1, 10, color['blue'], "Face")
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "c:\Users\x\Downloads\Face-Detection-Recognition-Using-OpenCV-in-Python-master (1)\Face-Detection-Recognition-Using-OpenCV-in-Python-master\collect_training_data.py", line 11, in draw_boundary
gray_img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
cv2.error: OpenCV(4.7.0) D:\a\opencv-python\opencv-python\opencv\modules\imgproc\src\color.cpp:182: error: (-215:Assertion failed) !_src.empty() in function 'cv::cvtColor'