Some Happier Star Mac OS

This is a brief blog post describing my experience with automating Photoshop using Python.I am an experienced software developer, but had never really used Photoshop before. As you can tell from my wonderful programmer art in this post ;)

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Some Happier Star Mac Os Catalina
Some Happier Star Mac Os 11
Some Happier Star Mac Os Download

SPOILERS UP UNTIL “MONSTER BASH”in which my video editing is rusty ‘cause i rarely make videos these days, but this was just begging to be made after daron.
On the OS Tip there is a link associated with the text in the. The link in this paragraph leads to a broken link page. “Although the Control Center comes with a bunch of useful toggles by default, you can customize it to better suit your needs by adding controls for the apps and features you use on a regular basis., or by heading over to System Preferences - Dock and Menu Bar in macOS.”.

Marshmello Feat. Bastille: Happier (Video 2018) cast and crew credits, including actors, actresses, directors, writers and more.

Here’s the Adobe documentation my work was based on.

Here’s a link to another project that could also be of interest. I have not used their code, but it looks very promising.

The sample code and repo source code have been tested on Python 2.7, but should work fine on Python 3.Source code

Generating images

Some time ago we needed a solution to be able to quickly generate some product images using Photoshop.

The graphic designer wanted to combine 2 images into a final product image to be used for display their products online.

Some Happier Star Mac Os X

An environment image (PSD file).
An object image (jpg).
Combine the above images into a product image (jpg).

This was done manually in Photoshop and as expected was very time consuming and error prone.

The scenario described for generating an image might seem very simple, why use Photoshop at all, right? PIL, Skimage, OpenCV would work fine! Well in this case, there were some very fine transformations and image processing being done in Photoshop and the graphic designer needed all these features required in order to generate high-quality images using filter, shears and other exotic (for me at least) visual effects.

Smart objects?

Prior to my involvement, the graphic designer had been looking for a way to simplify and automate this image generation process.An important feature that would be key to this work is the concept of Smart Objects

Smart objects in Photoshop allow you to ‘link’ 2 or more PSD files. Any changes made to the linked PSD are automatically made to any PSD linking to it!Basically you create a PSD file, and have one of the layers be a Smart Object. Then you link that Smart Object layer to another PSD.Afterwards when you open the background image and the product image in Photoshop, any changes you make to the product image, also are made in the background image.

Another cool thing about Smart Objects: all the transformations within the Smart Object layer are preserved, regardless of the changes you make to the source PSD.

This requires:

Each background image (PSD) must contain a layer with a Smart Object.
The Smart Object layer has to be linked to a default image (PSD).
Works best if both PSD files reside in same directory.

The manual steps for generating a final product image becomes:

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Open the background image in Photoshop (mountains).
Open the default product image in Photoshop (ball).
Open the desired product image in Photoshop (star).
Copy the desired product image into the default product image. This updates the Smart Object.
Save the background image as JPEG. This is our final image we want to generate with mountains and the star.
Repeat this for every background/product combination image we want to generate.

Python and COM

As mentionned at the beginning, we will be using the Photoshop COM programming interface.The Photoshop reference PDF will be our guide in writing our automation scripts. Of course we could be doing this directly in VB script, but it is much more fun (and productive!) to use Python.

Here’s a basic sample that opens an image in Photoshop.

This works on Windows, but some other scripting language might be more appropriate for Mac OS.We will not be covering other platforms.

There is no headless mode when running Python/COM automation scripts.

Each script command actually translates to an action you see happen on the screen.I will get into this and other annoyances later.

Basic Recipe

Here is some basic sample code that illustrates the automated steps to generate our final product image, which is a star on a background of mountains.

Notice also that we duplicate the PSD documents once we open them. We do this in order not to accidentally change and save the original PSD files.

Important: working with Photoshop’s object containers is different than native Python lists and tuples. The indices are 1-based, so the first element of container has index=1 (as opposed to index=0 as per usual).

basic_recipe.py

A step further

In order to make this a little less painful to use, we created a psd_utils.py source file.This file contains contains the Photoshop class to alleviate some of the boilerplate code.

ps_sample.py

Watch out!

As mentionned earlier, even though there are quite a few advantages to automating with Photoshop, there are also quite a few points to consider.

Photoshop scripts require running an actual instance of Photoshop and it’s main window will be visible on the desktop.

The Photoshop window should not be minimized while running a script. This might actually block Photoshop, and prevent your automated task from running properly.

If you make use of Copy/Paste commands in your script, this will hijack your clipboard, and prevent any other user/application from using it properly.

Photoshop tends to hang/freeze/crash periodically. The crashes are frequent on big batches of images and don’t seem to be related to RAM/CPU usage. Just restart your script and it will eventually run to completion just fine. Regardless of crashes, you can still make huge productivity gains from automating some tasks.

For all these reasons, we highly recommend that any automated tasks you create should run on a dedicated Windows PC. You don’t need a high end PC for most tasks and this will definitely make everyone more productive.

Hope this was useful

Of course, most of the code and samples discussed here are related to the specific use case described.Almost all Photoshop commands can be scripted this way. The sample code should help you get started, and more details can be found in Photoshop scripting reference.If you need any help with your project, we will gladly share our expertise if required!

features

sky

default catalogue of over 600,000 stars
extra catalogues with more than 177 million stars
default catalogue of over 80,000 deep-sky objects
extra catalogue with more than 1 million deep-sky objects
asterisms and illustrations of the constellations
constellations for 20+ different cultures
images of nebulae (full Messier catalogue)
realistic Milky Way
very realistic atmosphere, sunrise and sunset
the planets and their satellites

interface

a powerful zoom
time control
multilingual interface
fisheye projection for planetarium domes
spheric mirror projection for your own low-cost dome
all new graphical interface and extensive keyboard control
telescope control

visualisation

equatorial and azimuthal grids
star twinkling
shooting stars
tails of comets
iridium flares simulation
eclipse simulation
supernovae and novae simulation
3D sceneries
skinnable landscapes with spheric panorama projection

Some Happier Star Mac Os 11

customizability

plugin system adding artifical satellites, ocular simulation, telescope control and more
ability to add new solar system objects from online resources...
add your own deep sky objects, landscapes, constellation images, scripts...

news

system requirements

minimal

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Linux/Unix; Windows 7 and above; Mac OS X 10.12.0 and above
3D graphics card which supports OpenGL 3.0 and GLSL 1.3 or OpenGL ES 2.0
512 MiB RAM
420 MiB on disk
Keyboard
Mouse, Touchpad or similar pointing device

developers

Project coordinator: Fabien Chéreau
Graphic designer: Johan Meuris, Martín Bernardi
Developer: Alexander Wolf, Guillaume Chéreau, Georg Zotti, Marcos Cardinot
Continuous Integration: Hans Lambermont
Tester: Khalid AlAjaji
and everyone else in the community.

social media

collaborate

You can learn more about Stellarium, get support and help the project from these links:

acknowledgment

If the Stellarium planetarium was helpful for your research work, the following acknowledgment would be appreciated:

This research has made use of the Stellarium planetarium

Zotti, G., Hoffmann, S. M., Wolf, A., Chéreau, F., & Chéreau, G. (2021). The Simulated Sky: Stellarium for Cultural Astronomy Research. Journal of Skyscape Archaeology, 6(2), 221–258. https://doi.org/10.1558/jsa.17822

Or you may download the BibTeX file of the paper to create another citation format.

git

The latest development snapshot of Stellarium is kept on github. If you want to compile development versions of Stellarium, this is the place to get the source code.

supporters and friends

Stellarium is produced by the efforts of the developer team, with the help and support of the following people and organisations .

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