Importing PNG for deep-learning Python

Question

I am a novice coder, having been self-taught through codeacademy. I am wondering what is the easiest way to import png files to python (2.7.14) with the goal of using these files in a deep-learning program.

So far I have tried these two codes: import scipy from scipy import misc import glob for image_path in glob.glob("/E:/_SAMM_Projects/gemini_hikai_DM_hack_complete/export/contact_frames/boat/*.png"): image = misc.imread(image_path) print image.shape print image.dtype

import scipy
from scipy import misc
import glob
import numpy
png = []
for image_path in glob.glob("/E:/_SAMM_Projects/gemini_hikai_DM_hack_complete/export/contact_frames/boat/*.png"):
    png.append(misc.imread(image_path))

im = np.asarray(png)

print "importing done...", im.shape     

based off templates I have found online, both do not seem to work

Answer 1

In the context of deep learning, I understand that you would like to read an image into a numpy array so you can use deep learning models (such as ConvNet) on it.
I suggest using OpenCV for your purpose.

import cv2
image = cv2.imread("yourimg.png")