I'm a newcomer in this field. Recently i was training a skin detection model on Colab, and this error occurred
IndexError Traceback (most recent call last)
<ipython-input-68-bb8326040b37> in <cell line: 1>()
----> 1 train_img=preprocess_input(x_train)
2 test_img=preprocess_input(x_test)
2 frames
/usr/local/lib/python3.10/dist-packages/keras/applications/imagenet_utils.py in _preprocess_numpy_input(x, data_format, mode)
238 x[:, 2, :, :] /= std[2]
239 else:
--> 240 x[..., 0] -= mean[0]
241 x[..., 1] -= mean[1]
242 x[..., 2] -= mean[2]
IndexError: index 0 is out of bounds for axis 0 with size 0
this is the code relevant to it:
def load_data(input_size=(100,100)):
images=[]
images2=[]
train_df,test_df=data_dictionary()
for i in train_df['image_path']:
img=cv2.imread(i)
img=cv2.resize(img,input_size)
images.append(img)
y_train=np.asarray(train_df['target'])
x_train=np.asarray(images)
for i in test_df['image_path']:
img=cv2.imread(i)
img=cv2.resize(img,input_size)
images2.append(img)
y_test=np.asarray(test_df['target'])
x_test=np.asarray(images2)
return x_train,x_test,y_train,y_test
x_train,x_test,y_train,y_test=load_data(input_size=(100,100))
train_img=preprocess_input(x_train)
test_img=preprocess_input(x_test)
i'm pretty new to stackoverflow so forgive me if i say something misunderstanding.
def data_dictionary():
path_train="../input/dermnet/train/"
path_test="../input/dermnet/test/"
list_train=train_list_mod#os.listdir(path_train)
train_dictionary={"image_path":[],"target":[]}
test_dictionary={"image_path":[],"target":[]}
k=0
for i in list_train:
path_disease_train=path_train+i
path_disease_test=path_test+i
image_list_train=os.listdir(path_disease_train)
for j in image_list_train:
img_path_train=path_disease_train+"/"+j
train_dictionary["image_path"].append(img_path_train)
train_dictionary['target'].append(k)
Such type of error occur when your array is empty [].
Maybe problem here - emptiness of x_train array.
x = np.array([])
x[0]
IndexError: index 0 is out of bounds for axis 0 with size 0