OutOfRangeError when trying to run pokeGAN.py

[ayrtondenner]

When I'm trying to run pokeGAN.py, line 225 throws the following error: tensorflow.python.framework.errors_impl.OutOfRangeError: RandomShuffleQueue '_0_shuffle_batch/random_shuffle_queue' is closed and has insufficient elements (requested 64, current size 0)
[[Node: shuffle_batch = QueueDequeueManyV2[component_types=[DT_FLOAT], timeout_ms=-1, _device="/job:localhost/replica:0/task:0/cpu:0"](shuffle_batch/random_shuffle_queue, shuffle_batch/n)]]

While this error is throwing during the train_image = sess.run(image_batch) instruction, it seems to be related to line 58, where is defined a shuffle batch instruction:

    images_batch = tf.train.shuffle_batch(
                                    [image], batch_size = BATCH_SIZE,
                                    num_threads = 4, capacity = 200 + 3* BATCH_SIZE,
                                    min_after_dequeue = 200)

I couldn't find anyone else on the internet with the same mistake, but it happens when I try to run this code without any changes.

[AaronWard]

@ayrtondenner I may be a little late on this but i found by setting a guard on the image import fixed this problem for me. Initially i thought it had something to do with the number of samples in the dataset but that wasn't the problem

Here is what i did, i inserted if each.endswith(".png"): to make make sure only png images were being imported as sometimes there can be a hidden .ini file

def process_data():   
    
    print('importing data...')
    images = []

    #import every file with a png extension
    for each in os.listdir(TRAINING_DIR):
        if each.endswith(".png"): 
            images.append(os.path.join(TRAINING_DIR,each))

    # print images    
    all_images = tf.convert_to_tensor(images, dtype = tf.string)