ValueError: setting an array element with a sequence. while converting np array to float32

I took a bunch of images converted them into gray then stored them into img_data_list then i converted them to a numpy array everything works fine untill now here's part of code that works

import cv2

import os

import numpy as np



people = ['s1', 's2']

num_classes = 2

img_data_list = 

labels = 

valid_images = [".jpg",".gif",".png"]



for index, person in enumerate(people):

  print(index)

  dir_path = 'I:\project_face_detection\face_detetion\training_data\' + person

  for img_path in os.listdir(dir_path):

    name, ext = os.path.splitext(img_path)

    if ext.lower() not in valid_images:

        continue



    img_data = cv2.imread(dir_path + '\' + img_path)

    # convert image to gray

    img_data=cv2.cvtColor(img_data, cv2.COLOR_BGR2GRAY)

    img_data_list.append(img_data)

    labels.append(index)





img_data = np.array(img_data_list)

but when I try to convert the array into float32 data type I get the ValueError

img_data = img_data.astype('float32')

here's the error

 ValueError: setting an array element with a sequence.

here's how my images are stored

- training_data

   - s1

       - 0.jpg

       - 1.jpg

   - s2

      - 0.jpg

      - ......

If you guys can help me out in any way I'd be grateful thanks for looking into it :) .

asked Jan 1 at 19:09

abhinay oja

Instead of applying astype('float32') later on the combined list, try applying the same when adding the image to the list

– Ankur Goel
Jan 1 at 19:23

1

Tell us about img_data, shape and dtype.

– hpaulj
Jan 1 at 20:01

Probably, you have images with different sizes. If so, you cannot do it this way.

– Berriel
Jan 1 at 21:13

@AnkurGoel do you mean "img_data = np.array(img_data_list,dtype='float32')" i tried that it didn't work same error

– abhinay oja
Jan 2 at 13:51

@hpaulj img_data is initially where I stored my images which I later converted into a numpy array when i do img_data.shape i get (876,) I am converting dtype to float32 so i can divide by 255.0 the whole array in the later step

– abhinay oja
Jan 2 at 13:56

|
show 6 more comments

I took a bunch of images converted them into gray then stored them into img_data_list then i converted them to a numpy array everything works fine untill now here's part of code that works

import cv2

import os

import numpy as np



people = ['s1', 's2']

num_classes = 2

img_data_list = 

labels = 

valid_images = [".jpg",".gif",".png"]



for index, person in enumerate(people):

  print(index)

  dir_path = 'I:\project_face_detection\face_detetion\training_data\' + person

  for img_path in os.listdir(dir_path):

    name, ext = os.path.splitext(img_path)

    if ext.lower() not in valid_images:

        continue



    img_data = cv2.imread(dir_path + '\' + img_path)

    # convert image to gray

    img_data=cv2.cvtColor(img_data, cv2.COLOR_BGR2GRAY)

    img_data_list.append(img_data)

    labels.append(index)





img_data = np.array(img_data_list)

but when I try to convert the array into float32 data type I get the ValueError

img_data = img_data.astype('float32')

here's the error

 ValueError: setting an array element with a sequence.

here's how my images are stored

- training_data

   - s1

       - 0.jpg

       - 1.jpg

   - s2

      - 0.jpg

      - ......

If you guys can help me out in any way I'd be grateful thanks for looking into it :) .

asked Jan 1 at 19:09

abhinay oja

Instead of applying astype('float32') later on the combined list, try applying the same when adding the image to the list

– Ankur Goel
Jan 1 at 19:23

1

Tell us about img_data, shape and dtype.

– hpaulj
Jan 1 at 20:01

Probably, you have images with different sizes. If so, you cannot do it this way.

– Berriel
Jan 1 at 21:13

@AnkurGoel do you mean "img_data = np.array(img_data_list,dtype='float32')" i tried that it didn't work same error

– abhinay oja
Jan 2 at 13:51

@hpaulj img_data is initially where I stored my images which I later converted into a numpy array when i do img_data.shape i get (876,) I am converting dtype to float32 so i can divide by 255.0 the whole array in the later step

– abhinay oja
Jan 2 at 13:56

|
show 6 more comments

I took a bunch of images converted them into gray then stored them into img_data_list then i converted them to a numpy array everything works fine untill now here's part of code that works

import cv2

import os

import numpy as np



people = ['s1', 's2']

num_classes = 2

img_data_list = 

labels = 

valid_images = [".jpg",".gif",".png"]



for index, person in enumerate(people):

  print(index)

  dir_path = 'I:\project_face_detection\face_detetion\training_data\' + person

  for img_path in os.listdir(dir_path):

    name, ext = os.path.splitext(img_path)

    if ext.lower() not in valid_images:

        continue



    img_data = cv2.imread(dir_path + '\' + img_path)

    # convert image to gray

    img_data=cv2.cvtColor(img_data, cv2.COLOR_BGR2GRAY)

    img_data_list.append(img_data)

    labels.append(index)





img_data = np.array(img_data_list)

but when I try to convert the array into float32 data type I get the ValueError

img_data = img_data.astype('float32')

here's the error

 ValueError: setting an array element with a sequence.

here's how my images are stored

- training_data

   - s1

       - 0.jpg

       - 1.jpg

   - s2

      - 0.jpg

      - ......

If you guys can help me out in any way I'd be grateful thanks for looking into it :) .

asked Jan 1 at 19:09

abhinay oja

I took a bunch of images converted them into gray then stored them into img_data_list then i converted them to a numpy array everything works fine untill now here's part of code that works

import cv2

import os

import numpy as np



people = ['s1', 's2']

num_classes = 2

img_data_list = 

labels = 

valid_images = [".jpg",".gif",".png"]



for index, person in enumerate(people):

  print(index)

  dir_path = 'I:\project_face_detection\face_detetion\training_data\' + person

  for img_path in os.listdir(dir_path):

    name, ext = os.path.splitext(img_path)

    if ext.lower() not in valid_images:

        continue



    img_data = cv2.imread(dir_path + '\' + img_path)

    # convert image to gray

    img_data=cv2.cvtColor(img_data, cv2.COLOR_BGR2GRAY)

    img_data_list.append(img_data)

    labels.append(index)





img_data = np.array(img_data_list)

but when I try to convert the array into float32 data type I get the ValueError

img_data = img_data.astype('float32')

here's the error

 ValueError: setting an array element with a sequence.

here's how my images are stored

- training_data

   - s1

       - 0.jpg

       - 1.jpg

   - s2

      - 0.jpg

      - ......

If you guys can help me out in any way I'd be grateful thanks for looking into it :) .

python numpy opencv

asked Jan 1 at 19:09

abhinay oja

asked Jan 1 at 19:09

abhinay oja

asked Jan 1 at 19:09

abhinay oja

asked Jan 1 at 19:09

abhinay oja

asked Jan 1 at 19:09

abhinay oja

Instead of applying astype('float32') later on the combined list, try applying the same when adding the image to the list

– Ankur Goel
Jan 1 at 19:23

1

Tell us about img_data, shape and dtype.

– hpaulj
Jan 1 at 20:01

Probably, you have images with different sizes. If so, you cannot do it this way.

– Berriel
Jan 1 at 21:13

@AnkurGoel do you mean "img_data = np.array(img_data_list,dtype='float32')" i tried that it didn't work same error

– abhinay oja
Jan 2 at 13:51

@hpaulj img_data is initially where I stored my images which I later converted into a numpy array when i do img_data.shape i get (876,) I am converting dtype to float32 so i can divide by 255.0 the whole array in the later step

– abhinay oja
Jan 2 at 13:56

|
show 6 more comments

Instead of applying astype('float32') later on the combined list, try applying the same when adding the image to the list

– Ankur Goel
Jan 1 at 19:23

1

Tell us about img_data, shape and dtype.

– hpaulj
Jan 1 at 20:01

Probably, you have images with different sizes. If so, you cannot do it this way.

– Berriel
Jan 1 at 21:13

@AnkurGoel do you mean "img_data = np.array(img_data_list,dtype='float32')" i tried that it didn't work same error

– abhinay oja
Jan 2 at 13:51

@hpaulj img_data is initially where I stored my images which I later converted into a numpy array when i do img_data.shape i get (876,) I am converting dtype to float32 so i can divide by 255.0 the whole array in the later step

– abhinay oja
Jan 2 at 13:56

Instead of applying astype('float32') later on the combined list, try applying the same when adding the image to the list

– Ankur Goel
Jan 1 at 19:23

Tell us about img_data, shape and dtype.

– hpaulj
Jan 1 at 20:01

Probably, you have images with different sizes. If so, you cannot do it this way.

– Berriel
Jan 1 at 21:13

@AnkurGoel do you mean "img_data = np.array(img_data_list,dtype='float32')" i tried that it didn't work same error

– abhinay oja
Jan 2 at 13:51

@hpaulj img_data is initially where I stored my images which I later converted into a numpy array when i do img_data.shape i get (876,) I am converting dtype to float32 so i can divide by 255.0 the whole array in the later step

– abhinay oja
Jan 2 at 13:56

|
show 6 more comments

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