Hi all,
What I can write here always will be about my work I really do not know much about crack and piracy.
Example Images
“Migrant Mother” by Dorothea Lange (1936)
Woman relaxing in her livingroom in Sweden (1920)
“Toffs and Toughs” by Jimmy Sime (1937)
Thanksgiving Maskers (1911)
Glen Echo Madame Careta Gypsy Camp in Maryland (1925)
“Mr. and Mrs. Lemuel Smith and their younger children in their farm house, Carroll County, Georgia.” (1941)
“Building the Golden Gate Bridge” (est 1937)
Note: What you might be wondering is while this render looks cool, are the colors accurate? The original photo certainly makes it look like the towers of the bridge could be white. We looked into this and it turns out the answer is no - the towers were already covered in red primer by this time. So that’s something to keep in mind- historical accuracy remains a huge challenge!
“Terrasse de café, Paris” (1925)
Norwegian Bride (est late 1890s)
Zitkála-Šá (Lakota: Red Bird), also known as Gertrude Simmons Bonnin (1898)
Chinese Opium Smokers (1880)
Bring new life to old photos by automatically colorizing them using the DeOldify for free
You will use with Google Colab and you also will be able to study the photo black and withe to see what spectral will be better.
Essentially, the DeOldify code uses a deep learning technique called a Generative Adversarial Network (GAN.) GANs consist of two components: a “Generator” and a “Discriminator.” In brief, the Generator (its own neural network) attempts to synthesize fakes or originals, and the Discriminator attempts to figure out if the submitted instance is “real” or fake. In this way, a Generator can be considered a “Counterfeiter” trying to fool the Discriminator, and the Discriminator can be thought of as “The Police” trying to catch the counterfeiter passing off a fake.
The code is too big to write it here (people sometimes like to understand the process, like me) but you can get if at Github.
!