A New Collection of Thoughtful Learning Apps — Now Available on iOS & Android

Image
I’m excited to share a set of mobile apps I’ve recently completed and published on both the Google Play Store and the Apple App Store. These apps are designed with a simple goal in mind: to make meaningful, structured content more accessible, whether you’re studying theology or improving your English vocabulary. 📱 Now Available on Both Platforms All apps are live and available for download: Google Play Developer Page: https://play.google.com/store/apps/dev?id=5835943159853189043 Apple App Store Developer Page: https://apps.apple.com/ca/developer/q-z-l-corp/id1888794100 📖 Theology & Confession Study Apps For those interested in Reformed theology and classical Christian teachings, I’ve developed a series of apps that present foundational texts in a clean, focused reading format: The Belgic Confession Canons of Dort Heidelberg Catechism Westminster Shorter Catechism Each app is designed to provide a distraction-free experience, making it easier to read, reflect, and revisit these im...

python show an image via subprocess.Popen

import tensorflow as tf
import Image
import os
import subprocess

def main(argv): 
  folder = argv[0]
  if (len(argv) > 1):
    if tf.gfile.Exists(argv[1]):
      folder = argv[1]
    else:
      print ('%s not existed' % argv[1])
      return
  else:
    print ("please input training image data folder path")
    return
  for f in tf.gfile.ListDirectory(folder):
    filepath = os.path.join(folder, f)
    try:
      im = Image.open(filepath)
      p = subprocess.Popen(["display", filepath])
      label = raw_input("please label the image, 0 means cat, 1 means dog:")
      p.kill()
    except Exception, e:
      print (e)

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