How to create numpy array of images

Question

Just a beginner to python.. I'm trying to create array of images.

import cv2
import os
import numpy as np

PATH = os.getcwd()
data_path = PATH + '/data1'
data_path_folder = os.listdir(data_path)

X_data = []

for image in data_path:
   img = cv2.imread(data_path + "/" +image, cv2.IMREAD_COLOR)
   img_resize = cv2.resize(img,(128,128))
   X_data.append(img_resize)

img_data = np.array(X_data)
img_data = img_data.astype('float32')
img_data /=255
print(img_data.shape)

ERROR cv2.error: C:\projects\opencv-python\opencv\modules\imgproc\src\resize.cpp:4044: error: (-215) ssize.width > 0 && ssize.height > 0 in function cv::resize

The error is telling you that your img is invalid, either it's duff or it doesn't have a valid size. — EdChum
– EdChum, Commented Jan 23, 2018 at 15:04
I've tried changing images, but still showing the same error. Can you tell solution for it. — SUNNY
– SUNNY, Commented Jan 23, 2018 at 15:10
Your error here is that you're failing to load the image, you need to debug that first — EdChum
– EdChum, Commented Jan 23, 2018 at 15:15
The result of os.listdir() contains the paths ., .. A similar question: stackoverflow.com/questions/48001890/why-cant-i-access-images/… — Kinght 金
– Kinght 金, Commented Jan 23, 2018 at 15:34
Solved! i was messing with the directory path. But now i'm using glob module. Much easier..Thanks everyone...! — SUNNY
– SUNNY, Commented Jan 23, 2018 at 17:34

Algopark · Accepted Answer · 2019-07-23 13:05:37Z

0

It seems a tiny error.... error msg says there are invalid input for resize.

I think you have to get correct image file name from correct list.

import cv2
import os
import numpy as np

PATH = os.getcwd()
data_path = PATH + '/data1'
data_path_folder = os.listdir(data_path)

X_data = []

for image in data_path_folder:  # ADD '_folder'
   img = cv2.imread(data_path + "/" +image, cv2.IMREAD_COLOR)
   img_resize = cv2.resize(img,(128,128))
   X_data.append(img_resize)

img_data = np.array(X_data)
img_data = img_data.astype('float32')
img_data /=255
print(img_data.shape)

answered Jul 23, 2019 at 13:05

Algopark

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