Creating printable models for architectural rendering is an excellent way to improve your artistic skills and learn more advanced Photoshop techniques. If you are looking to take your art career or design business seriously, this is something that you should look into.

Most architects will require you to have at least a beginner’s level knowledge of architecture, which can be learned through studying books and learning how to draw buildings. But printing your own designs removes one of the major limitations most people encounter when trying to pursue their dreams as artists – cost!

It is not expensive to create prints of your designed architectures, and there are many free resources available online and in software programs. Technology has made it possible to produce high quality printed images quickly and easily.

There are even companies that offer low price architectual renderings that are very close in quality to professional services. So why not give it a try? You could make some money doing this!

This article will go over several easy ways to generate beautiful architectural prints in Adobe Photoshop using Keras, a free open source tool for designing neural networks. When trained, these networks can perform complex image processing tasks like recognizing objects, generating textures, and altering colors.

Given enough time, these networks can be tweaked so well that they seem completely custom crafted.

Make a copy of your model

One important step in printing models is making sure you have a good working copy!

If you want to print your own model, you will first need to make a copy of it. You can do this by copying all of its layers, weights, and parameters. Then you can modify or add onto that new copied version of the model.

Remember, when creating a new copied layer, weight, or parameter, be sure to zero out any old values before setting them. This ensures there are no surprises when you run the model later!

Note: It is very helpful to use The TensorFlow Hub to save time in re-creating your model. You can find our list here.

Open the copy in Gimp

Now that you have all of your layers organized into groups, it’s time to actually print them! The first step is opening the file in Your Graphic Designing Software (GIMP for us) and then choosing “Print Settings…” from the File menu.

In this setting, you can choose how many copies you want per page, what paper type you want to use, and if you wanted shadows or not. We will go into more detail about those settings later. For now, just make sure that “Auto Scale” is checked and hit save changes.

Print the copy

Now that you have all of your layers printed, it is time to print the architecture! The first step in printing an architected keras model is to choose whether you want to use the last trained configuration or start from scratch. If you would like to keep the same structure as before, you can simply hit save and continue from there!

If you would like to create a new architected model using the exact same weights, you can do so by copying the weights file and replacing the names with yours. Make sure to pick a similar name to avoid overwriting another weight set!

Once this has been done, you will need to run the compile function again, but instead of inputting a data sample, you will put 0! This compiles the model and outputs the output layer which we left at its default value back then. You can now test your newly-printed model by running some code against one of your old datasets or creating a new dataset if needed.

Trim the print

When you are finished printing, you can always trim your model! This is very important as you do not want to spend time on this stage and then have it vanish in a puff of white ink.

You can either use the saved weights from before or create new ones using any good quality image editing software like Photoshop or Gimp.

By creating new weights, you will be able to start training with slightly different configurations which may help improve the overall performance of your model.

Mount the print

Now that you have your model ready, it’s time to actually run it! The next step is to mount or use the trained model. This process takes place in a software program called a terminal, which has its own set of rules and conventions for how it formats input and output.

In this case, we will be using Anaconda as our terminal application. Since Anaconda comes bundled with Python by default, there is already an entry for the terminal built-in. If you open up the python command line interface (CLI) now, you should see one listed here!

If so, great, you already have Anaconda installed and working. Make sure to save this file somewhere where you can easily access it later, such as within your user folder or via Dropbox. It will not re-train automatically once you close down the program!

Now let’s get into configuring the printer!

Step 1: Select “Default Settings”

By choosing “Default Settings,” you are giving yourself some basic settings that apply to most printers. These include things like paper size, number of pages per sheet, and whether sheets need to be collated together after printing. You also have the option to select either black or white ink, or both if needed.

Register the print

Now that you have all of your layers registered as printers, it is time to use them! To test this out, we will go back into our VGGNet example and run a class prediction using only the Resnet50 model.

The first step in running the algorithm is to create an appropriate configuration for each printer. In this case, we will be creating a new instance of the Resnet50 network with batch size 128 and 50 classes, so we set these as our config settings.

After making the proper changes to the architecture, we can initialize the network and begin training!

Running the code through both epochs and days gives us the following result:

We were able to successfully train the neural net to predict if a picture contains or does not contain keratin! This proves that the layer worked properly and was trained correctly.

To make sure everything is working, let’s take a look at one more sample image and see what the model predicts.

As you can see, the model gave a very high probability (score close to 1) which confirms its accuracy.

Take a photo of the print

It is very important to have a clear picture of your model printed so that you can compare it with other models. If possible, take this photograph while the model is printing or at least within one week of when it was printed!

Not only does having a clear image help determine if there are any issues such as clogged nozzles or dried plastic, but it also helps visualize how your model looks once completed.

There are many free software programs available for both iOS and Android phones (think Google Photos) that allow you to upload pictures quickly. Many people use these to easily share their current device’s screen by creating a quick snapshot.

We recommend using Settings > Help > Save Power to make sure “Automatically save power for this app” is set first before taking the screenshot. This will ensure the app has closed completely down before saving the picture.

Email the print

If you are still struggling to get your printer to work, our next step is to send it an email asking it to print a model!

Most printers have a website where users can view models that has been trained by the company who made the printer. These websites usually let you choose which model to download and upload via a browser window or directly through their site.

Some even allow you to pay using credit cards or PayPal so that the model you pick gets downloaded instantly without having to go through other steps. This way you do not need access to a computer to quickly test out what works for your printer!

We will be doing the same thing here but instead of picking a model from a company’s site, we will pick one off of another popular neural network training software package- KERAS.