Anonymous
"!empty() в функции 'cv::CascadeClassifier::detectMultiScale'"
Сообщение
Anonymous » 11 ноя 2024, 05:06
Я пытаюсь работать с системой распознавания лиц в Python OpenCV, но постоянно получаю следующую ошибку:
"!empty() в функции 'cv::CascadeClassifier::detectMultiScale'"
Это код, который я использую:
Код: Выделить всё
import cv2
import os
import numpy as np
from PIL import Image
import pickle
BASE_DIR = os.path.dirname(os.path.abspath(__file__))
image_dir = os.path.join(BASE_DIR, "foto")
face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_alt2.xml')
recognizer = cv2.face.LBPHFaceRecognizer_create()
current_id = 0
label_ids = {}
y_labels = []
x_train = []
for root, dirs, files in os.walk(image_dir):
for file in files:
if file.endswith("png") or file.endswith("jpg"):
path = os.path.join(root, file)
label = os.path.basename(root).replace(" ", "-").lower()
#print(label, path)
if not label in label_ids:
label_ids[label] = current_id
current_id += 1
id_ = label_ids[label]
#print(label_ids)
#y_labels.append(label) # some number
#x_train.append(path) # verify this image, turn into a NUMPY
arrray, GRAY
pil_image = Image.open(path).convert("L") # grayscale
size = (550, 550)
final_image = pil_image.resize(size, Image.ANTIALIAS)
image_array = np.array(final_image, "uint8")
#print(image_array)
faces = face_cascade.detectMultiScale(image_array, scaleFactor=1.5, minNeighbors=5)
for (x,y,w,h) in faces:
roi = image_array[y:y+h, x:x+w]
x_train.append(roi)
y_labels.append(id_)
#print(y_labels)
#print(x_train)
with open("pickles/face-labels.pickle", 'wb') as f:
pickle.dump(label_ids, f)
recognizer.train(x_train, np.array(y_labels))
recognizer.save("recognizers/face-trainner.yml")
Что я делаю не так?
Подробнее здесь:
https://stackoverflow.com/questions/541 ... multiscale
1731290770
Anonymous
Я пытаюсь работать с системой распознавания лиц в Python OpenCV, но постоянно получаю следующую ошибку: "!empty() в функции 'cv::CascadeClassifier::detectMultiScale'" Это код, который я использую: [code]import cv2 import os import numpy as np from PIL import Image import pickle BASE_DIR = os.path.dirname(os.path.abspath(__file__)) image_dir = os.path.join(BASE_DIR, "foto") face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_alt2.xml') recognizer = cv2.face.LBPHFaceRecognizer_create() current_id = 0 label_ids = {} y_labels = [] x_train = [] for root, dirs, files in os.walk(image_dir): for file in files: if file.endswith("png") or file.endswith("jpg"): path = os.path.join(root, file) label = os.path.basename(root).replace(" ", "-").lower() #print(label, path) if not label in label_ids: label_ids[label] = current_id current_id += 1 id_ = label_ids[label] #print(label_ids) #y_labels.append(label) # some number #x_train.append(path) # verify this image, turn into a NUMPY arrray, GRAY pil_image = Image.open(path).convert("L") # grayscale size = (550, 550) final_image = pil_image.resize(size, Image.ANTIALIAS) image_array = np.array(final_image, "uint8") #print(image_array) faces = face_cascade.detectMultiScale(image_array, scaleFactor=1.5, minNeighbors=5) for (x,y,w,h) in faces: roi = image_array[y:y+h, x:x+w] x_train.append(roi) y_labels.append(id_) #print(y_labels) #print(x_train) with open("pickles/face-labels.pickle", 'wb') as f: pickle.dump(label_ids, f) recognizer.train(x_train, np.array(y_labels)) recognizer.save("recognizers/face-trainner.yml") [/code] Что я делаю не так? Подробнее здесь: [url]https://stackoverflow.com/questions/54120605/empty-in-function-cvcascadeclassifierdetectmultiscale[/url]