May 09, 2011 Download SimpleMind Pro for macOS 10.10 or later and enjoy it on your Mac. Mind mapping helps you organize your thoughts, remember things and generate new ideas. We've created a beautiful, intuitive app, so you can mind map wherever you are and whenever you want. Use your favorite image editor (Photoshop, Illustrator, GIMP whatever you like) to create a 1024×1024 pixel document with a transparent background and draw/paint/assemble your icon. For this tutorial, I’m going to use Adobe Illustrator to create a real simple circular icon with the Rocket Yard logo inside, mostly because I had the graphic. Aug 27, 2012 Note: If you’ve followed the How To Create A Simple iPhone App on iOS 5 Tutorial, you will find that this section is (almost) identical to that.One of the good things about Mac/iOS programming is that they share most of the SDK, obviously, except the UI classes and some OS specific parts. Jan 04, 2020 Many of us still keep our main libraries on our Macs because of its faster processors, larger storage, and all-around bigger computing power. The Mac is still the best device for serious photo editing, so you need some serious photo editing apps to make an impact. The built-in Photos app on Mac offers several useful photo editing tools.
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- Bringing the power of Core ML to your app begins with one challenge. How do you create your model? The new Create ML app provides an intuitive workflow for model creation. See how to train, evaluate, test, and preview your models quickly in this easy-to-use tool. Get started with one of the many available templates handling a number of powerful machine learning tasks. Learn more about the many features for continuous model improvement and experimentation.
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- DownloadThis year, our Create ML release has new models and a whole new workflow. Every workflow starts with input. The devices that we develop for, use, and love, are rich with information from different sensors such as a camera, the microphone, the keyboard, Accelerometer, even Gyroscope. And all of these types of input can be used so you can train machine learning models and make your apps more personalized and more intelligent.Last year, we supported three of these types of input; images, text, and tabular data.This year, we're increasing the set of available domains from three to five.And now, introducing Activity and Sound. We're also expanding the breadth of available models within all of them. And all of this is being brought into a new medium. We call it Create ML app. It all starts with identifying your domain. And once you filter by your input, you can see all of the available model types you can create. Create ML then breaks down the task of creating machine learning model into three simple phases; input, training, and output. This new environment changes the way you interact with machine learning on the system. The app then displays an overview of your data and a rich set of analytics as it trains. You can visualize your model's progress in an easy to understand graphical view that displays the accuracy of your model across iterations.You can also see a breakdown of the precision and recall values for each class your model was trained on. And the table is interactive so you can filter by class or by percentage to better understand your model's performance. The process of testing is as simple as dragging and dropping in new data. You can have the ability to train and retest just by clicking the Test button. And what's really unique about Create ML is you can easily preview trained models in the Output tab. Microsoft word art free download.This new feature allows you to see exactly how your model will predict without having to incorporate your models into your apps. This means no more waiting to deploy them. You can do this directly in Create ML, saving you time to perfect your models instead. The Preview section is also custom built for every template, ensuring a complete end-to-end experience for every task. But what better way to see this than to show it to you live? Let's take a look. Now, over in Xcode, I've been working on a flower classifier app to help me identify different types of flowers. And I've been using a model that I downloaded from the Model Gallery called Resnet50. And this is a well-known image classifier model that's been trained to recognize 1,000 different classes. But this model is taking up about 100 megabytes of my app. And we can see when I actually try it on different images it knows that this Hibiscus is a flower, but it doesn't know the exact type.So, it doesn't quite suit my needs. Now, what I can do is from Xcode I can open Developer Tools and launch Create ML. This then prompts me to create a new document. And we can see I'm launched into the Template View where I can see all the available models we can create. Since I'm working with images, I'll filter by image and select the Image Classifier. We can then name this.And then, pick the place to save it so we can come back to it later.And then, launch into the New App view. And you can see that I'm, I'm first prompted to drag in input as training data. And if I progress through some of the other tabs, they're not unlocked yet because I haven't gone through the flow.So, let's try this sequentially. On my desktop, I set aside some images of different types of flowers. And you can see, I have some hibiscus, some passionflower, and then even some roses, dahlias, and daisies. I could take this folder and drag it in and immediately see that I have 65 different images contained within it and they're across five different classes. Now, since we have our input data, I can hit the Run button and automatically this model begins training. It first starts by extracting features from the images. And then, we can see the progress as training begins.I can see a breakdown of how the model's performing on this data. But what I'd really like to do is see how the model performs on new data that it hasn't seen. So, I'll navigate to the Testing tab and I'll drag in these new flowers that I've set aside and hit Test.Now, what I'd really like to do is take a look at the trained model in the Output tab.And we can see here I have a flower classifier that's 66 kilobytes.Now, to actually preview this, I've taken some other photos and perhaps this hibiscus that wasn't working before with Resnet. And I can see now, this model can correctly predict exactly what it is. And I can see other predictions the model has made and confidence values for each one. I can even take a full folder and drag them in and debug any image that this model has predicted on. Download 10.7 itunes for mac.Now, once I'm satisfied, I can take this model and drag it out. And then, reintegrate that into my app. But what's more, is you can also leverage the power of Continuity Camera in Create ML. And from this, what I can do is I can import from my phone which is attached. And I can try to take a photo of this flower that I have here on stage, and we can see how it does. And it actually turns out okay.Now, if you're not happy with your performance or if you'd just like to run some more experiments, there's a Plus button here, as well.And what you can do is you can select more training data. You can toggle how our validation data is specified and even your testing data, as well. This time, I might want to tweak some augmentations. And then, I can hit Run to train.And that's a look at the new workflow in Create ML. Let's go back to the slides.So, you've seen Create ML gives you a whole new way to train your custom machine learning models on the Mac, with a beautiful look and feel.And with additions like metrics visualization, live progress, and interactive preview, Create ML app sets the bar for a great model training experience. In the demo, we walked through just one model that you can create with Create ML. But this release, we're introducing nine. So, let's take a high-level tour of all of the models you can create and some examples of sample apps. Starting with the image domain, we have the Image Classifier and Object Detector. An Image Classifier can be used for categorizing images based on their contents. For example, the Art Style identifier uses a custom Image Classifier to determine the most likely movement of a piece.It then separately provides an overview of notable artists to complete the app experience.In Create ML, the Image Classifier leverages core Apple technology by performing transfer learning on top of the vision feature print model already in the OS.This allows you to benefit from faster training times and a reduced model size in your app.Also, you have the option to train with augmentation to make your models more robust to unseen input. If you instead want to identify multiple objects within an image instead of one single one, you might want to create an Object Detector.Object Detectors can be used for localizing and recognizing contents within an image.For example, these can be trained to detect one or more classes such as specific playing cards or the exact suits contained on them. The Object Detector is a deep learning-based model and performs data augmentation to make it more robust.And it does this entirely on your Mac's GPU. Our next domain is Sound.Within Sound, we have a new model called the Sound Classifier.This model allows you to determine the most dominant sound within an audio stream.Since audio data is time series based, you could differentiate between the start and end points of different sounds such as when the guitar solo ends and the crowd goes wild.This model leverages transfer learning so you can also experience faster training times. And we also understand that optimizing performance across complex applications is challenging. Which is why we want to emphasize that these models are lightweight and run on the Neural Engine, making them ideal for real-time applications on any device. Our third domain is Activity.And within Activity, we have the Activity Classifier for the first time.This model also operates on time series-based data. And Activity Classifiers can be trained to categorize contents of motion data from a variety of sensors such as the Accelerometer and Gyroscope. These models are deep learning-based and train on the GPU. And they result in small model sizes that are also ideal for deployment on any device. Our second to last input is Text.Within Text, there are two model types available; the Text Classifier and the Word Tagger.Text classification can be used to label sentences, paragraphs, or even entire articles based on their contents. You can train these for custom topic identification or categorization tasks. In Create ML, there are a variety of different algorithms for you to try and even a new transfer learning option this year.The Word Tagger is slightly more nuanced. It's ideal for labeling tokens or words of interest in text. General purpose examples of this are things like tagging different parts of speech or recognizing named entities, though you could customize your own to do things like tag cheeses. With a Cheese Tagger, you could be sure to identify different flavor notes from any cheese description.Our last domain is the most general of all five; Tabular Data.And within this, we have three model types; the Tabular Classifier, Tabular Regressor, and Recommender. Classifiers are for categorizing samples based on their features of interest. And features can be a variety of different types such as integers, doubles, strings, so long as your target is a discrete value.These allow you to do things like determine if a seat is comfortable or not based on a particular person's height and weight and specific properties of the seat such as the amount of leg room. What's unique about the Tabular Classifier is it extracts away the underlying algorithm for you. And identifies the best multiple classifiers for your data. If you instead want a model that will predict a numeric value, such as a rating or a score, you may instead want to use the Tabular Regressor.This model quantifies samples based on their defining features.So, you could train one to estimate the price of a house based on its location and number of bedrooms, bathrooms, and parking spaces. Like the Classifier, the Regressor also automatically detects the best of multiple regressors for your data.Though, you still have the flexibility to choose a specific boosted or decision tree, random forest, or linear regressor, if you like. And our last model is the Recommender which allows you to recommend content based on user behavior.The Recommender can be trained on user-item interactions with or without ratings.And it's able to be deployed on device, saving you the hassle of setting up the server. Keith sweat get up on it download.As we saw, Create ML comes with great features to help you set up your machine learning experiments, use native support for data visualization, metrics, and performance. Best free mac software app.And the machine learning models you train can easily be saved and shared with members of your team. Of course, all of this leverages the power and efficiency of training on your Mac. This new medium augments other ways you have available to you to create machine learning models such as in Swift Playgrounds, Swift Scripts, or Swift Frepple [phonetic], Xcode Playground. But allows you to do so without writing a single line of code. We believe this brings machine learning to everyone.To summarize, in Create ML this year, you have new models, nine templates, and a whole new workflow.
- January 02, 2020
- 18 min to read
Most free photo editors available on the App Store are quite basic, offering just a limited number of filters and allowing you to easily and quickly liven up your photos before posting them on social media.
But if you’re an aspiring or professional photographer, you probably need a more powerful app with a broader set of tools to use your creativity to the fullest. Besides, you probably use your Mac for photo editing because working on a large screen makes it possible to adjust the slightest details.
1. Apple’s Photos (Built-in app)
Apple’s Photos app is included for free on all recently released Macs. It does a good job at organizing your photos, but its collection of photo enhancement tools leaves much to be desired. Hopefully, our selection of the best free programs for photo editing on Mac will help you choose the right app to suit all your creative needs.
2. Luminar (7 days trial)
Luminar is another full-featured photo editor that’s popular with both Mac and Windows users. It can work as a standalone app as well as a plugin for such popular programs as Apple Photos.
Luminar uses Artificial Intelligence to enable sophisticated yet quick photo enhancements. Among these AI features are Sky Enhancer, which adds more depth and detail to the sky in your photos while leaving other areas untouched; Accent AI, which analyzes a photo and automatically applies the best combination of different effects to enhance your image; and Sun Rays, which allows you to place an artificial sun and adjust the lighting to your liking or make the sun rays already in your photo look even more incredible.
Luminar has over 60 filters you can apply to your photos to enhance them in a moment. Luminar also provides a set of powerful tools for cropping, transforming, cloning, erasing, and stamping, along with layers, brushes, and many more incredible features. Luminar supports the Touch Bar on the latest MacBook Pro, making photo editing even more effortless and pleasing.
3. Photolemur 3 (Free Version with watermark)
Photolemur is a relative newcomer on the photo editing market but it has all the chances to win the favor of beginner photographers and hobbyists. Running on Artificial Intelligence, Photolemur is a completely automatic photo enhancer, meaning that it does all the editing for you in no time. It has the simplest interface, with only a few buttons and sliders to adjust the enhancement to your liking and view the before and after results.
All you need to do is choose a photo (or a few) that you want to improve, drag and drop or import them using the Import button, and let the program make enhancements. After it’s done, you can compare the edited version with the original image by using the before–after slider and, if you want, adjust the skin tone or even enlarge the eyes using additional sliders. Pretty easy, huh?
Photolemur also offers a number of impressive styles to touch up your photos and give them a sophisticated and professional look. With this app, you don’t need to stuff your head with photo editing nuances and terms. Just run Photolemur and watch the magic happen!
4. Aurora HDR (14 days trial)
As you probably can tell from the name, Aurora HDR is designed to help photographers enhance their HDR photos, making them even more detailed and beautiful. It’s an ideal tool for editing your photos, with an extensive collection of more than 20 tools including details, tone, mapping, color, glow, and vignette. Each tool has its unique selection of controls to adjust its effects.
Aurora HDR enables you to work with brushes, layers, and masks, and provides a number of automatic AI tools for recognizing and removing noise, enhancing colors, lighting, and details, improving clarity, and adding contrast to dull areas while leaving other areas untouched.
Aurora HDR does a great job dealing with difficult lighting situations and creating full-of-life images while being easy to use.
5. Pixelmator (Trial 30 Days)
Pixelmator is a photo enhancer beloved by many Mac users, as it offers a good combination of a modern and simple interface, the ability to work on multiple layers, and powerful features that take photo editing to a whole new level. Best free vector art software for mac. With so many editing tools, brushes, and effects, you can enhance your photos to your liking. You can choose between two versions of Pixelmator – standard and pro – depending on your needs. The standard version is great for basic photo editing with its selection of essential tools and filters, while the pro version is packed with extra brushes, tools, and effects that let you push your creativity to new boundaries. You can decide which version is suitable for you according to what features you’re looking for in a photo editing app.
6. Adobe Photoshop Elements 2020 (Trial link)
Photoshop Elements isn’t as affordable as other photo enhancers for beginner photographers. But luckily there’s a trial version available, so you can check it out before deciding whether this app is worthy of your money. Photoshop Elements acquired many powerful features from Photoshop, only Elements is simplified for amateur photographers and enthusiasts. It includes a good number of effects and filters, plus automated editing options for improving lighting, color balance, and exposure, and even opening closed eyes and reducing the effects of camera shake.
In addition to all of these awesome features, Photoshop also offers editing modes for beginners, intermediate users, and experts. Beginners will probably prefer Quick mode, as it focuses on essential tools to quickly enhance your photos by improving color, lighting, and other basic settings. Guided mode provides intermediate users with step-by-step guidance with more professional features like artistic effects, skin tone correction, and background replacement. Expert mode gives you full access to the app’s really powerful editing features and is ideal for creating stunning images.
7. Affinity Photo (Free Trial)
Simple Mac App To Create An Image Page
Affinity Photo’s interface may seem overwhelming at first, especially for novices, but when you come to grips with it you’ll find that the app is just what you’ve been looking for. Its numerous professional tools, effects, and filters encourage you to get creative with your photos. Among the coolest features Affinity Photo has to offer is a before and after view to compare the original photo with its edited version.
Affinity Photo works with 15 file types, including common ones like PDF, PSD, JPG, and GIF as well as some less popular ones. The app amazes with its abundance of basic and top-notch editing tools, allowing you to tweak your photos using all possible kinds of instruments. Affinity Photo allows you to edit HDR photos, apply artistic filters and effects, play with masks and layers, and create breathtaking compositions by combining several images in one. If you find its interface a bit much and are afraid of getting lost in all those advanced tools, you should probably look for something more suitable for your level. But Affinity Photo is worth mastering.
8. Google Photos
Google Photos is a popular cloud storage service for photos and videos. It can’t boast countless masterly tools like other photo enhancers that we review in this article, but it includes some fundamental features like filters, color adjustment sliders, and transformation tools.
Kodak dental imaging software support. Although Google Photos may not be that helpful when it comes to editing photos, it does a pretty good job at storing high-resolution images and videos with 15GB of free online storage, compared to iCloud’s mere 5GB (which you can upgrade to 50GB for a monthly fee). If you’re planning to go on a trip and take plenty of photos, then it might be smart to sign up for Google Photos to use that extra storage space when you come back.
9. PhotoScape X (Free)
Mac Create Iso Image
A relatively new photo editing app, PhotoScape X has been gaining popularity with many Mac and PC users since its release in 2008. Its interface is simple but unconventional, with a number of tabs running along the top of the window. Each is responsible for a specific stage of editing. The Viewer tab allows you to browse and organize your photos. After you pick a photo, you can switch to the Editor tab, which includes a broad set of instruments, filters, and effects and a useful feature that enables you to compare the adjusted photo with the original.
The next tabs, including the Batch tab, mainly concentrate on editing and renaming multiple photos at once. The GIF tab allows you to easily create an animated GIF from a group of selected photos.
The downside of PhotoScape X is a lack of selection tools, so all changes are applied to the whole image rather than to a selected part.
10. Gimp (Free)
Gimp is a free open-source photo editing app that has been on the market for over 22 years and is available for Windows, Mac, and even Linux. Unlike many free apps, Gimp doesn’t have any ads or in-app purchases. Its grey interface might seem a little old-fashioned and it may be a bit sluggish when it comes to complex effects, though.
Gimp offers a vast collection of advanced tools that hardly any free photo editor can boast. It has numerous enhancement options such as clone and heal brushes, layers and channels, accurate selection tools, a number of transformation instruments, and, of course, color adjustment controls. Gimp is one of the most powerful tools for enhancing photos and is beloved by so many users for its price (free) and versatility. But if you can’t come to grips with Gimp’s interface, it may be worth paying some cash for a more user-friendly program.