TensorFlow - Feeding models with own imagesContents:
Examples how to feed TensorFlow with own imagesHere is a list of links where people provide example TensorFlow code to feed TF models with own images:
Preparing OpenCV2 for use in Python3One way to read own images and feed them into TensorFlow is using OpenCV. But for this, you first have to install OpenCV on your system. I followed this excellent explanation, which worked perfectly in my case (Python 3.4.3).
After building OpenCV (which took roughly 20 minutes on my PC), I tested it within the python3 shell:
juebrauer@ubuntu:~/OpenCV-tmp/build$ python3 Python 3.4.3 (default, Oct 14 2015, 20:28:29) [GCC 4.8.4] on linux Type "help", "copyright", "credits" or "license" for more information. >>> import cv2 >>> cv2.__version__ '3.1.0-dev'
# test_opencv.py # # small test program to see, whether we can use OpenCV in Python3 # # by Prof. Dr. Juergen Brauer, www.juergenbrauer.org import cv2 # 1. read in image (free image from pixabay) img = cv2.imread('space-shuttle.jpg') # 2. resize image img = cv2.resize(img, (0,0), fx=1.5, fy=1.5) # 3. prepare window cv2.namedWindow('my window 1') # 4. show window with image cv2.imshow('my window 1', img) # 5. wait for key press by user ... cv2.waitKey(0) # 6. ... then close the window cv2.destroyAllWindows()