我已经使用TensorFlow编写了一些代码。运行代码时，模块中出现错误，指出即使我已经安装了TensorFlow模块也不存在。
您能帮我解决错误吗？
我正在使用的TensorFlow版本是：
代码如下：
# from scipy.misc import toimage
start = time.time()
#Define Path
model_path = './models/ output.hdf5'
# model_weights_path = './models/weights.h5'
test_path = 'test_image'
#Load the pre-trained models
model = load_model(model_path)
# model.load_weights(model_weights_path)
#Define image parameters
rows = 24
columns = 24
# i = 0
# names = ['Agustin','Amran', 'Andre', 'Angela', 'Anjas', 'Ayu', 'Ekaristi', 'Ester', 'Ferry', 'Fibonaccy', 'Grace', 'Indra', 'Joel', 'Kamna', 'Lukas', 'Lyoci',
# 'Maya', 'Melda','Nindy', 'Pedro', 'Prima', 'Sharon', 'Talenta', 'Wendi', 'Yenni']
# labels = []
# plt.figure(figsize=(30,20))
#Prediction Function
def predict(file):
x = cv2.imread(file)
#x = np.full((100,80,3), 12, dtype = np.uint8)
x = cv2.cvtColor(x, cv2.COLOR_BGR2GRAY)
x = cv2.resize(x,(rows,columns))
x = img_to_array(x)
x = np.expand_dims(x, axis=0)
# print(x)
# x = x.astype('float32')
# plt.show()
# print(x)
array = model.predict(x)
# result = array[0]
# print(result)
answer = np.argmax(array)
if answer == 0:
# labels.append('Agustin')
print("Predicted: Maya")
elif answer == 1:
# labels.append('Amran')
# plt.subplot(5/columns + 1, columns, i+1)
# plt.title('This is' + names[i])
# imgplot = plt.imshow(answer)
# i += 1
# if i % 10 == 0:
# break
print("Predicted: Agustin")
elif answer == 2:
print("Predicted: Amran")
elif answer == 3:
print("Predicted: Andre")
elif answer == 4:
print("Predicted: Angela")
elif answer == 5:
print("Predicted: Anjas")
elif answer == 6:
print("Predicted: Ayu")
elif answer == 7:
print("Predicted: Ekaristi")
elif answer == 8:
print("Predicted: Ester")
elif answer == 9:
print("Predicted: Ferry")
elif answer == 10:
print("Predicted: Fibonaccy")
elif answer == 11:
print("Predicted: Grace")
elif answer == 12:
print("Predicted: Indra")
elif answer == 13:
print("Predicted: Joel")
elif answer == 14:
print("Predicted: Kamna")
elif answer == 15:
print("Predicted: Lukas")
elif answer == 16:
print("Predicted: Lyoci")
elif answer == 17:
print("Predicted: Maya")
elif answer == 18:
print("Predicted: Melda")
elif answer == 19:
print("Predicted: Nindy")
elif answer == 20:
print("Predicted: Pedro")
elif answer == 21:
print("Predicted: Prima")
elif answer == 22:
print("Predicted: Sharon")
elif answer == 23:
print("Predicted: Talenta")
elif answer == 24:
print("Predicted: Wendi")
elif answer == 25:
print("Predicted: Yenni")
return answer
#Walk the directory for every image
for i, ret in enumerate(os.walk(test_path)):
for i, filename in enumerate(ret[2]):
if filename.startswith("."):
continue
print(ret[0] + '/' + filename)
result = predict(ret[0] + '/' + filename)
print(" ")
# imgplot = plt.imshow(ret[0] + '/' + filename)
# print(test_image)
#Calculate execution time
end = time.time()
dur = end-start
if dur<60:
print("Execution Time:",dur,"seconds")
elif dur>60 and dur<3600:
dur=dur/60
print("Execution Time:",dur,"minutes")
else:
dur=dur/(60*60)
print("Execution Time:",dur,"hours")
这是输出：
File "Testing.py", line 9, in <module>
from keras.preprocessing.image import ImageDataGenerator, load_img, img_to_array
File "build/bdist.linux-armv7l/egg/keras/__init__.py", line 3, in <module>
File "build/bdist.linux-armv7l/egg/keras/utils/__init__.py", line 6, in <module>
File "build/bdist.linux-armv7l/egg/keras/utils/conv_utils.py", line 9, in <module>
File "build/bdist.linux-armv7l/egg/keras/backend/__init__.py", line 89, in <module>
File "build/bdist.linux-armv7l/egg/keras/backend/tensorflow_backend.py", line 5, in <module>
ImportError: No module named tensorflow