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LoGAN: Generating Logos with a Generative Adversarial Neural Network Conditioned on color

Python 100.00%

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loretoparisi chinshou zhuqingling xrosliang edwardajohnson tawawhite meetmrhung pingponglabs jags111 musamuss

logan's Issues

read.image.py中images.append(['(image_name)', im])===>int换为字符串

def read_images_from(path=Data_PATH):
images = []
png_files_path = glob.glob(os.path.join(path, '*.[pP][nN][gG]')) # extract all png files

if VERBOSE:
    print("Reading images ...")

cnt=0
for filename in png_files_path:
    im = Image.open(filename)

    im = np.asarray(im, np.uint8)
    # get image name, not path
    image_name = filename.split('\\')[-1].split('.')[0]
    #images.append([int(image_name), im])
    **images.append(['(image_name)', im])**
    #images.append(im)

    cnt+=1
    if VERBOSE:
        sys.stdout.write("Progress loading images: {:.2%}\r".format(cnt/485377))
        sys.stdout.flush()

images = sorted(images, key=lambda image: image[0])

images_only = [np.asarray(image[1], np.uint8) for image in images]
images_only = np.array(images_only)

return images_only

License?

Is there a license for this work? Can it be re-used?

Run main.py error: the following arguments are required: --gan_type

usage: main.py [-h] --gan_type {ACWGANGP} [--dataset DATASET] [--epoch EPOCH]
[--batch_size BATCH_SIZE] [--z_dim Z_DIM]
[--checkpoint_dir CHECKPOINT_DIR] [--result_dir RESULT_DIR]
[--log_dir LOG_DIR]
main.py: error: the following arguments are required: --gan_type

IndexError: list index out of range

Hello, I had a

(venv) ip-192-168-1-103:LoGAN loretoparisi$ python change_colors_to_words.py

data
Progress: 100.00%
Format change complete.
Progress: 100.00%
Color word match complete.
Traceback (most recent call last):
  File "change_colors_to_words.py", line 202, in <module>
    word_most.append(color_word_sorted[2])
IndexError: list index out of range
(venv) ip-192-168-1-103:LoGAN loretoparisi$ python change_colors_to_words.py

So I have tried to fix it adding a guard on list size

for img in colors.index:
        #sort according to amount of color
        color_word_sorted=[x for _,x in sorted(zip(colors['amount color'][img],colors['color word'][img]))]
        if len(color_word_sorted) > 2:
            word_least.append(color_word_sorted[0])
            word_middle.append(color_word_sorted[1])
            word_most.append(color_word_sorted[2])
            #sort according to amount of color
            color_word_compact_sorted = [x for _,x in sorted(zip(colors['amount color'][img],colors['color word compact'][img]))]
            compact_least.append(color_word_compact_sorted[0])
            compact_middle.append(color_word_compact_sorted[1])
            compact_most.append(color_word_compact_sorted[2])        
        
    colors.drop(colors.columns[[2,3]], axis=1, inplace= True )
    colors['word least'] = word_least
    colors['word middle'] = word_middle
    colors['word most'] = word_most
    colors['compact least'] = compact_least
    colors['compact middle'] = compact_middle
    colors['compact most'] = compact_most

problem is that now I get a wrong DataFrame size:

Progress: 100.00%
Format change complete.
Progress: 100.00%
Color word match complete.
Traceback (most recent call last):
  File "change_colors_to_words.py", line 211, in <module>
    colors['word least'] = word_least
  File "/Users/loretoparisi/Documents/Projects/AI/LoGAN/venv/lib/python3.6/site-packages/pandas/core/frame.py", line 3119, in __setitem__
    self._set_item(key, value)
  File "/Users/loretoparisi/Documents/Projects/AI/LoGAN/venv/lib/python3.6/site-packages/pandas/core/frame.py", line 3194, in _set_item
    value = self._sanitize_column(key, value)
  File "/Users/loretoparisi/Documents/Projects/AI/LoGAN/venv/lib/python3.6/site-packages/pandas/core/frame.py", line 3391, in _sanitize_column
    value = _sanitize_index(value, self.index, copy=False)
  File "/Users/loretoparisi/Documents/Projects/AI/LoGAN/venv/lib/python3.6/site-packages/pandas/core/series.py", line 4001, in _sanitize_index
    raise ValueError('Length of values does not match length of ' 'index')
ValueError: Length of values does not match length of index

May I have to add zero values in the else of that guard?

Thank you.

The model has been trained. How to write code for testing？

image with only two colors

For the images with only two colors, such as 001904.png and 002678.png, the following lines in change_colors_to_words.py may not work. This is because len(color_word_sorted)==2

word_least.append(color_word_sorted[0])
word_middle.append(color_word_sorted[1])
word_most.append(color_word_sorted[2])

Is this need to change to:

word_least.append(color_word_sorted[0])
if len(color_word_sorted)>=2:
    word_middle.append(color_word_sorted[1])
    if len(color_word_sorted)>=3:
        word_most.append(color_word_sorted[2])
    else:
        word_most.append(color_word_sorted[1])
else:
    word_middle.append(color_word_sorted[0])
    word_middle.append(color_word_sorted[0])

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