I am writing an image recognition program in python 3.6 for which I am using anaconda.I have my image data set stored in the location E:\food-101\images in which the 'images' folder contains multiple sub folders which contain the photographs. I want to use these images for training my machine learning model.I am able to load(read) a single image stored in E:\ I want to load multiple images from the above path how do I proceed ?I am using opencv. my code is as follows any help is appreciated
import cv2
import matplotlib
import numpy
img = cv2.imread("E:\food\images\chicken_wings\a.jpg",cv2.IMREAD_GRAYSCALE)
cv2.imshow('image',img)
cv2.waitKey(0)
cv2.destroyAllWindows()
I get the following error
Traceback (most recent call last):
File "<ipython-input-8-6310b5f3028e>", line 5, in <module>
cv2.imshow('image',img)
error: OpenCV(3.4.1) C:\bld\opencv_1520732670222\work\opencv-3.4.1\modules\highgui\src\window.cpp:356: error: (-215) size.width>0 && size.height>0 in function cv::imshow
Traceback (most recent call last):
File "<ipython-input-8-6310b5f3028e>", line 5, in <module>
cv2.imshow('image',img)
error: OpenCV(3.4.1) C:\bld\opencv_1520732670222\work\opencv-3.4.1\modules\highgui\src\window.cpp:356: error: (-215) size.width>0 && size.height>0 in function cv::imshow
An easy way would be to install Glob. You can do this from the anaconda prompt with pip install glob.
Glob allows you to query files like you would in a terminal. Once you have Glob you could save all of the file names to a list and then loop through this list reading your images (NumPy arrays) into a new list.
import cv2
import numpy
import glob
folders = glob.glob('path\\to\\folder\\containing\\folders\\*')
imagenames_list = []
for folder in folders:
for f in glob.glob(folder+'/*.jpg'):
imagenames_list.append(f)
read_images = []
for image in imagenames_list:
read_images.append(cv2.imread(image, cv2.IMREAD_GRAYSCALE))
You could then access an image by indexing it i.e.
plt.imshow(read_images[0])
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