import picture to model tensorflow for training

[Khoa-NT]

Dear sir,

Thank you so much for your tensorflow-workshop. It helps me understand clearly about tensorflow.

Would you mind if I ask you how to import pictures into model so that I can train the model with it ? Just like the example image_retraining in tensorflow.

I found your function: load_image_folder in 04 Feedforward Network.ipynb

I aslo found two code in stackoverflow but I don't understand clearly
input_1.py :

- label = input_queue[1]
- file_contents = tf.read_file(input_queue[0])
- example = tf.image.decode_png(file_contents, channels=3)
- Then use **tf.train.batch** for training. 

input_2.py:

- filenameQ = tf.train.string_input_producer(imgPaths)
- filename = filenameQ.dequeue()
- image_bytes = tf.read_file(filename)
- decoded_image = tf.image.decode_jpeg(image_bytes)
- image_queue = tf.FIFOQueue(128, [tf.uint8], None)
- enqueue_op = image_queue.enqueue(decoded_image)
- Then use **tf.train.Coordinator** and **tf.train.start_queue_runners** for training

Would you mind telling me which is the standard way to import the picture ?
I haven't seen tf.train.batch , tf.train.Coordinator and tf.train.start_queue_runners before.
I really confused cause I'm still learning how to use tensorflow

thank you and regards,