Witam !!
Zainstalowałem opencv : https://qabrio.pl/rozpoznawanie-ekranu-3-opencv/
Uruchamiam program poniżej i mam taki błędy
Proszę o pomoc Pozdrawiam !!
Capturing image...
imwrite_('capture.pgm'): can't write data: OpenCV(4.5.0) /home/pi/opencv/modules/imgcodecs/src/grfmt_pxm.cpp:427: error: (-5:Bad argument) Portable bitmap(.pgm) expects gray image in function 'write'
Traceback (most recent call last):
File "capture-positives.py", line 58, in <module>
result = face.detect_single(image)
File "/home/pi/face.py", line 23, in detect_single
flags=cv2.CASCADE_SCALE_IMAGE)
cv2.error: OpenCV(4.5.0) /home/pi/opencv/modules/objdetect/src/cascadedetect.cpp:1689: error: (-215:Assertion failed) !empty() in function 'detectMultiScale'
Python 3.7.3 (default, Jan 22 2021, 20:04:44)
[GCC 8.3.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
import cv2
print(cv2.version)
4.5.0
import glob
import os
import sys
import select
import cv2
import hardware
import config
import face
# Prefix for positive training image filenames.
POSITIVE_FILE_PREFIX = '/training/positive_'
def is_letter_input(letter):
# Utility function to check if a specific character is available on stdin.
# Comparison is case insensitive.
if select.select([sys.stdin,],[],[],0.0)[0]:
input_char = sys.stdin.read(1)
return input_char.lower() == letter.lower()
return False
if __name__ == '__main__':
camera = config.get_camera()
#box = hardware.Box()
# Create the directory for positive training images if it doesn't exist.
if not os.path.exists(config.POSITIVE_DIR):
os.makedirs(config.POSITIVE_DIR)
# Find the largest ID of existing positive images.
# Start new images after this ID value.
files = sorted(glob.glob(os.path.join(config.POSITIVE_DIR,
POSITIVE_FILE_PREFIX + '[0-9][0-9][0-9].pgm')))
count = 0
if len(files) > 0:
# Grab the count from the last filename.
count = int(files[-1][-7:-4])+1
print ("Capturing positive training images.")
print ("Press button or type c (and press enter) to capture an image.")
print ("Press Ctrl-C to quit.")
while True:
# Check if button was pressed or 'c' was received, then capture image.
if is_letter_input('c'):
print ("Capturing image...")
image = camera.read()
# Convert image to grayscale.
image = cv2.cvtColor(image, cv2.COLOR_RGB2GRAY)
# Get coordinates of single face in captured image.
result = face.detect_single(image)
if result is None:
print ("Could not detect single face! Check the image in capture.pgm \
to see what was captured and try again with only one face visible.")
continue
x, y, w, h = result
# Crop image as close as possible to desired face aspect ratio.
# Might be smaller if face is near edge of image.
crop = face.crop(image, x, y, w, h)
# Save image to file.
filename = os.path.join(config.POSITIVE_DIR, POSITIVE_FILE_PREFIX + '%03d.pgm' % count)
cv2.imwrite(filename, crop)
print ("Found face and wrote training image"), filename
count += 1
