simple-faster-rcnn-pytorch
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chenyuntc
ValueError: object __array__ method not producing an array
Please I have written the following code for translating sign language translation to text, previously it was working but it brings this value error. "ValueError: object array method not producing an array" I am also junior in machine learning any one help?
from keras.models import load_model from keras.preprocessing import image from keras.preprocessing.image import ImageDataGenerator import numpy as np from unidecode import unidecode import cv2
model = load_model('path/my_model.h5')
img_dim = 50
class_labels = ['a','che', 'gne', 'he', 'hhe', 'hhhe', 'je', 'ke', 'le', 'me', 'qe', 're', 'se','she', 'te',]
cap = cv2.VideoCapture(0) font = cv2.FONT_HERSHEY_SIMPLEX while True:
ret, frame = cap.read()
cv2.rectangle(frame, (100, 100), (500, 500), (255, 255, 255), 2)
roi = frame[100:500, 100:500]
img = cv2.resize(roi, (img_dim,img_dim))
img = image.img_to_array(img)
img = np.expand_dims(img, axis=0)
img = img.astype('float32')/255
pred = np.argmax(model.predict(img))
color = (0,0,255)
cv2.putText(frame, class_labels[pred], (50,50), font, 1.0, color, 2)
cv2.imshow('Real_Time_Sign_Langauge_Translation', frame)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
cap.release() cv2.destroyAllWindows()
hello, my friend, have you ever solve your problem? I also encounter the problem in my project.
