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মডেল কোডের উপর ভিত্তি করে ম্যাজেন্টা ও প্রকাশনা:
একটি রিয়েল-টাইম কাঠামো, নির্বিচারে নিউরাল শৈল্পিক stylization নেটওয়ার্কের এক্সপ্লোরিং । Golnaz Ghiasi, Honglak লি, Manjunath Kudlur, ভিনসেন্ট Dumoulin, জোনাথন Shlens ব্রিটিশ মেশিন ভিশন কনফারেন্স (BMVC), 2017 এর প্রসিডিংস।
সেটআপ
আসুন TF2 এবং সমস্ত প্রাসঙ্গিক নির্ভরতা আমদানি করে শুরু করি।
import functools
import os
from matplotlib import gridspec
import matplotlib.pylab as plt
import numpy as np
import tensorflow as tf
import tensorflow_hub as hub
print("TF Version: ", tf.__version__)
print("TF Hub version: ", hub.__version__)
print("Eager mode enabled: ", tf.executing_eagerly())
print("GPU available: ", tf.config.list_physical_devices('GPU'))
TF Version: 2.7.0 TF Hub version: 0.12.0 Eager mode enabled: True GPU available: [PhysicalDevice(name='/physical_device:GPU:0', device_type='GPU')]
# @title Define image loading and visualization functions { display-mode: "form" }
def crop_center(image):
"""Returns a cropped square image."""
shape = image.shape
new_shape = min(shape[1], shape[2])
offset_y = max(shape[1] - shape[2], 0) // 2
offset_x = max(shape[2] - shape[1], 0) // 2
image = tf.image.crop_to_bounding_box(
image, offset_y, offset_x, new_shape, new_shape)
return image
@functools.lru_cache(maxsize=None)
def load_image(image_url, image_size=(256, 256), preserve_aspect_ratio=True):
"""Loads and preprocesses images."""
# Cache image file locally.
image_path = tf.keras.utils.get_file(os.path.basename(image_url)[-128:], image_url)
# Load and convert to float32 numpy array, add batch dimension, and normalize to range [0, 1].
img = tf.io.decode_image(
tf.io.read_file(image_path),
channels=3, dtype=tf.float32)[tf.newaxis, ...]
img = crop_center(img)
img = tf.image.resize(img, image_size, preserve_aspect_ratio=True)
return img
def show_n(images, titles=('',)):
n = len(images)
image_sizes = [image.shape[1] for image in images]
w = (image_sizes[0] * 6) // 320
plt.figure(figsize=(w * n, w))
gs = gridspec.GridSpec(1, n, width_ratios=image_sizes)
for i in range(n):
plt.subplot(gs[i])
plt.imshow(images[i][0], aspect='equal')
plt.axis('off')
plt.title(titles[i] if len(titles) > i else '')
plt.show()
এর সাথে খেলার জন্য কিছু ছবি পেতে দিন.
# @title Load example images { display-mode: "form" }
content_image_url = 'https://upload.wikimedia.org/wikipedia/commons/thumb/f/fd/Golden_Gate_Bridge_from_Battery_Spencer.jpg/640px-Golden_Gate_Bridge_from_Battery_Spencer.jpg' # @param {type:"string"}
style_image_url = 'https://upload.wikimedia.org/wikipedia/commons/0/0a/The_Great_Wave_off_Kanagawa.jpg' # @param {type:"string"}
output_image_size = 384 # @param {type:"integer"}
# The content image size can be arbitrary.
content_img_size = (output_image_size, output_image_size)
# The style prediction model was trained with image size 256 and it's the
# recommended image size for the style image (though, other sizes work as
# well but will lead to different results).
style_img_size = (256, 256) # Recommended to keep it at 256.
content_image = load_image(content_image_url, content_img_size)
style_image = load_image(style_image_url, style_img_size)
style_image = tf.nn.avg_pool(style_image, ksize=[3,3], strides=[1,1], padding='SAME')
show_n([content_image, style_image], ['Content image', 'Style image'])
Downloading data from https://upload.wikimedia.org/wikipedia/commons/thumb/f/fd/Golden_Gate_Bridge_from_Battery_Spencer.jpg/640px-Golden_Gate_Bridge_from_Battery_Spencer.jpg 65536/58102 [=================================] - 0s 1us/step 73728/58102 [======================================] - 0s 1us/step Downloading data from https://upload.wikimedia.org/wikipedia/commons/0/0a/The_Great_Wave_off_Kanagawa.jpg 2686976/2684586 [==============================] - 0s 0us/step 2695168/2684586 [==============================] - 0s 0us/step
TF হাব মডিউল আমদানি করুন
# Load TF Hub module.
hub_handle = 'https://tfhub.dev/google/magenta/arbitrary-image-stylization-v1-256/2'
hub_module = hub.load(hub_handle)
ইমেজ স্টাইলাইজেশনের জন্য এই হাব মডিউলটির স্বাক্ষর হল:
outputs = hub_module(content_image, style_image)
stylized_image = outputs[0]
কোথায় content_image , style_image এবং stylized_image আকার 4-ডি Tensors হবে বলে আশা করা হয় [batch_size, image_height, image_width, 3] ।
বর্তমান উদাহরণে আমরা শুধুমাত্র একক ছবি প্রদান করি এবং সেইজন্য ব্যাচের মাত্রা হল 1, কিন্তু একই সময়ে আরও ছবি প্রক্রিয়া করতে একই মডিউল ব্যবহার করতে পারেন।
ইমেজ ইনপুট এবং আউটপুট মান পরিসীমা হতে হবে [0, 1].
বিষয়বস্তু এবং শৈলী চিত্রের আকার মেলে না। আউটপুট ইমেজ আকৃতি কন্টেন্ট ইমেজ আকৃতি হিসাবে একই.
চিত্র শৈলী প্রদর্শন
# Stylize content image with given style image.
# This is pretty fast within a few milliseconds on a GPU.
outputs = hub_module(tf.constant(content_image), tf.constant(style_image))
stylized_image = outputs[0]
# Visualize input images and the generated stylized image.
show_n([content_image, style_image, stylized_image], titles=['Original content image', 'Style image', 'Stylized image'])
আরো ইমেজ এটি চেষ্টা করা যাক
# @title To Run: Load more images { display-mode: "form" }
content_urls = dict(
sea_turtle='https://upload.wikimedia.org/wikipedia/commons/d/d7/Green_Sea_Turtle_grazing_seagrass.jpg',
tuebingen='https://upload.wikimedia.org/wikipedia/commons/0/00/Tuebingen_Neckarfront.jpg',
grace_hopper='https://storage.googleapis.com/download.tensorflow.org/example_images/grace_hopper.jpg',
)
style_urls = dict(
kanagawa_great_wave='https://upload.wikimedia.org/wikipedia/commons/0/0a/The_Great_Wave_off_Kanagawa.jpg',
kandinsky_composition_7='https://upload.wikimedia.org/wikipedia/commons/b/b4/Vassily_Kandinsky%2C_1913_-_Composition_7.jpg',
hubble_pillars_of_creation='https://upload.wikimedia.org/wikipedia/commons/6/68/Pillars_of_creation_2014_HST_WFC3-UVIS_full-res_denoised.jpg',
van_gogh_starry_night='https://upload.wikimedia.org/wikipedia/commons/thumb/e/ea/Van_Gogh_-_Starry_Night_-_Google_Art_Project.jpg/1024px-Van_Gogh_-_Starry_Night_-_Google_Art_Project.jpg',
turner_nantes='https://upload.wikimedia.org/wikipedia/commons/b/b7/JMW_Turner_-_Nantes_from_the_Ile_Feydeau.jpg',
munch_scream='https://upload.wikimedia.org/wikipedia/commons/c/c5/Edvard_Munch%2C_1893%2C_The_Scream%2C_oil%2C_tempera_and_pastel_on_cardboard%2C_91_x_73_cm%2C_National_Gallery_of_Norway.jpg',
picasso_demoiselles_avignon='https://upload.wikimedia.org/wikipedia/en/4/4c/Les_Demoiselles_d%27Avignon.jpg',
picasso_violin='https://upload.wikimedia.org/wikipedia/en/3/3c/Pablo_Picasso%2C_1911-12%2C_Violon_%28Violin%29%2C_oil_on_canvas%2C_Kr%C3%B6ller-M%C3%BCller_Museum%2C_Otterlo%2C_Netherlands.jpg',
picasso_bottle_of_rum='https://upload.wikimedia.org/wikipedia/en/7/7f/Pablo_Picasso%2C_1911%2C_Still_Life_with_a_Bottle_of_Rum%2C_oil_on_canvas%2C_61.3_x_50.5_cm%2C_Metropolitan_Museum_of_Art%2C_New_York.jpg',
fire='https://upload.wikimedia.org/wikipedia/commons/3/36/Large_bonfire.jpg',
derkovits_woman_head='https://upload.wikimedia.org/wikipedia/commons/0/0d/Derkovits_Gyula_Woman_head_1922.jpg',
amadeo_style_life='https://upload.wikimedia.org/wikipedia/commons/8/8e/Untitled_%28Still_life%29_%281913%29_-_Amadeo_Souza-Cardoso_%281887-1918%29_%2817385824283%29.jpg',
derkovtis_talig='https://upload.wikimedia.org/wikipedia/commons/3/37/Derkovits_Gyula_Talig%C3%A1s_1920.jpg',
amadeo_cardoso='https://upload.wikimedia.org/wikipedia/commons/7/7d/Amadeo_de_Souza-Cardoso%2C_1915_-_Landscape_with_black_figure.jpg'
)
content_image_size = 384
style_image_size = 256
content_images = {k: load_image(v, (content_image_size, content_image_size)) for k, v in content_urls.items()}
style_images = {k: load_image(v, (style_image_size, style_image_size)) for k, v in style_urls.items()}
style_images = {k: tf.nn.avg_pool(style_image, ksize=[3,3], strides=[1,1], padding='SAME') for k, style_image in style_images.items()}
Downloading data from https://upload.wikimedia.org/wikipedia/commons/d/d7/Green_Sea_Turtle_grazing_seagrass.jpg 3178496/3170828 [==============================] - 0s 0us/step 3186688/3170828 [==============================] - 0s 0us/step Downloading data from https://upload.wikimedia.org/wikipedia/commons/0/00/Tuebingen_Neckarfront.jpg 409600/406531 [==============================] - 0s 0us/step 417792/406531 [==============================] - 0s 0us/step Downloading data from https://storage.googleapis.com/download.tensorflow.org/example_images/grace_hopper.jpg 65536/61306 [================================] - 0s 0us/step 73728/61306 [====================================] - 0s 0us/step Downloading data from https://upload.wikimedia.org/wikipedia/commons/b/b4/Vassily_Kandinsky%2C_1913_-_Composition_7.jpg 196608/195196 [==============================] - 0s 1us/step 204800/195196 [===============================] - 0s 1us/step Downloading data from https://upload.wikimedia.org/wikipedia/commons/6/68/Pillars_of_creation_2014_HST_WFC3-UVIS_full-res_denoised.jpg 46931968/46930988 [==============================] - 2s 0us/step 46940160/46930988 [==============================] - 2s 0us/step Downloading data from https://upload.wikimedia.org/wikipedia/commons/thumb/e/ea/Van_Gogh_-_Starry_Night_-_Google_Art_Project.jpg/1024px-Van_Gogh_-_Starry_Night_-_Google_Art_Project.jpg 401408/396423 [==============================] - 0s 0us/step 409600/396423 [==============================] - 0s 0us/step Downloading data from https://upload.wikimedia.org/wikipedia/commons/b/b7/JMW_Turner_-_Nantes_from_the_Ile_Feydeau.jpg 147456/144340 [==============================] - 0s 1us/step 155648/144340 [================================] - 0s 1us/step Downloading data from https://upload.wikimedia.org/wikipedia/commons/c/c5/Edvard_Munch%2C_1893%2C_The_Scream%2C_oil%2C_tempera_and_pastel_on_cardboard%2C_91_x_73_cm%2C_National_Gallery_of_Norway.jpg 11403264/11403121 [==============================] - 1s 0us/step 11411456/11403121 [==============================] - 1s 0us/step Downloading data from https://upload.wikimedia.org/wikipedia/en/4/4c/Les_Demoiselles_d%27Avignon.jpg 2908160/2905099 [==============================] - 0s 0us/step 2916352/2905099 [==============================] - 0s 0us/step Downloading data from https://upload.wikimedia.org/wikipedia/en/3/3c/Pablo_Picasso%2C_1911-12%2C_Violon_%28Violin%29%2C_oil_on_canvas%2C_Kr%C3%B6ller-M%C3%BCller_Museum%2C_Otterlo%2C_Netherlands.jpg 1236992/1234199 [==============================] - 0s 0us/step 1245184/1234199 [==============================] - 0s 0us/step Downloading data from https://upload.wikimedia.org/wikipedia/en/7/7f/Pablo_Picasso%2C_1911%2C_Still_Life_with_a_Bottle_of_Rum%2C_oil_on_canvas%2C_61.3_x_50.5_cm%2C_Metropolitan_Museum_of_Art%2C_New_York.jpg 122880/120288 [==============================] - 0s 1us/step 131072/120288 [================================] - 0s 1us/step Downloading data from https://upload.wikimedia.org/wikipedia/commons/3/36/Large_bonfire.jpg 139264/131604 [===============================] - 0s 1us/step 147456/131604 [=================================] - 0s 1us/step Downloading data from https://upload.wikimedia.org/wikipedia/commons/0/0d/Derkovits_Gyula_Woman_head_1922.jpg 32768/32390 [==============================] - 0s 0us/step 40960/32390 [=====================================] - 0s 0us/step Downloading data from https://upload.wikimedia.org/wikipedia/commons/8/8e/Untitled_%28Still_life%29_%281913%29_-_Amadeo_Souza-Cardoso_%281887-1918%29_%2817385824283%29.jpg 1916928/1914618 [==============================] - 0s 0us/step 1925120/1914618 [==============================] - 0s 0us/step Downloading data from https://upload.wikimedia.org/wikipedia/commons/3/37/Derkovits_Gyula_Talig%C3%A1s_1920.jpg 40960/40620 [==============================] - 0s 0us/step 49152/40620 [====================================] - 0s 0us/step Downloading data from https://upload.wikimedia.org/wikipedia/commons/7/7d/Amadeo_de_Souza-Cardoso%2C_1915_-_Landscape_with_black_figure.jpg 73728/66306 [=================================] - 0s 1us/step 81920/66306 [=====================================] - 0s 1us/step
প্রধান বিষয়বস্তুর চিত্র এবং আপনি যে শৈলী ব্যবহার করতে চান তা উল্লেখ করুন।
content_name = 'sea_turtle' # @param ['sea_turtle', 'tuebingen', 'grace_hopper']
style_name = 'munch_scream' # @param ['kanagawa_great_wave', 'kandinsky_composition_7', 'hubble_pillars_of_creation', 'van_gogh_starry_night', 'turner_nantes', 'munch_scream', 'picasso_demoiselles_avignon', 'picasso_violin', 'picasso_bottle_of_rum', 'fire', 'derkovits_woman_head', 'amadeo_style_life', 'derkovtis_talig', 'amadeo_cardoso']
stylized_image = hub_module(tf.constant(content_images[content_name]),
tf.constant(style_images[style_name]))[0]
show_n([content_images[content_name], style_images[style_name], stylized_image],
titles=['Original content image', 'Style image', 'Stylized image'])
