CODEWITHSUNDEEP
generative-adversarial-networkimage-formats
T. Elhassan
T. Elhassan

Reputation: 23

save predicted images to a folder

I'm using model.fit_generator() to predict images. i keep on receiving the following error:

ValueError: Error when checking input: expected conv2d_29_input to have 4 dimensions, but got array with shape (224, 224, 3) I'm trying to save the predicted images to a folder.

following is my code:

data_list = []
batch_index = 0

while batch_index <= train_generator.batch_index:
    data = next(train_generator)
    data_list.append(data[0])
    batch_index = batch_index + 1

 for i in range(batch_index):
     for j in range(batch_size):
         predicted[i][j]= model.predict(data_list[i] [j])
         plt.imsave(os.path.join(path,'new_image'+ str(i)+ str(j)+ "_AE_.tiff"), predicted[i][j])

what is the problem with the shape?? thanks

Upvotes: 0

Views: 255

Answers (1)

T. Elhassan
T. Elhassan

Reputation: 23

following is how i solved the problem:

path='the data folder'

data_list = [] 
batch_index = 0
predicted=[]
n= len(train_generator)

while batch_index <= train_generator.batch_index:
    data = train_generator.next()
    data_list.append(data[0])
    batch_index = batch_index + 1

data_array = np.array(data_list, dtype= float)

    
predicted=model.predict(data_array)

for i in range(n):
    plt.imsave(os.path.join(path,'new_image'+ str(i)+"_AE.tiff"), predicted[i,])

Upvotes: 0

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