“WWW” is a sequence of letters we’re pretty comfortable seeing in front of a domain name, even if we’re not exactly sure why it’s there. Every now and then, though, you might have noticed a few numbers sneaking onto the end – WWW1, WWW2, maybe even WWW3. Have you stumbled onto a parallel version of the Internet? Are you being phished? While you should always watch out for weird site-name changes, in this case you don’t need to worry. The number probably just means the site you’re browsing is using a slightly old-school load-balancing technique. You’re still on the same site, but your traffic is… Read more
Skylum Software Luminar 3.1.0 with Accent AI 2.0 photo editing software review
REVIEW – Recently, I had the opportunity to review Skylum Software’s Luminar Flex photo editing plugin which offered much of their full Luminar product’s AI-based (Artificial Intelligence) editing available in Photoshop or other supported software. Skylum has been in the lab and has released Luminar 3.1.0 with their new Accent AI 2.0 logic for one-touch photo editing.
What is it?
Luminar 3.1.0 is an update to Luminar 3, a full-featured photo editing package with tools like clone and stamp, cropping, transformations, layers, lens correction, color adjustments and so on. So what, you say? There are a lot of tools like that, you say? Yup – I agree with you. They’re a dime a dozen. Just pick the one with the interface and price that make the most sense to you and cents to your bank account and edit away. Of course, you will take a lot of time editing your photos, tweaking curves, balancing exposures, adding layers in various opacities to get the look you want. Or…you can use Luminar 3.1.0. Its full plate of AI-based looks makes one-touch image enhancement stupid-simple for those of us that don’t have the time to fiddle. OK – I’m retired, so I have the time, but I have far better things to do.
Fair warning – this review is about photo editing software, so this is going to be photo-heavy. Also, I left the photos large-ish, so you can get a better look at the results.
Design and features
Let’s get this out of the way right now – Luminar is a full-featured photo editing package. It does all the things other editing packages do and does them all well. It can add layers. It can blend effects in a multitude of ways. It can adjust exposure, color balance, contrast, brightness, tint, and so on. It can crop, clone, transform, skew, and basically do anything to your images that you could want. Its interface is fairly good, but like Photoshop or any other heavy-duty tool, there is a lot to it and it will take some learning to get good at it.
Photoshop has several “automatic” fix tools that are pretty good at one-click image improvement. Luminar takes that up a notch, or ten notches, with their AI-based one-touch tools. And, they provide a ton of ’em. That’s what this review will focus on since that’s what sets Luminar apart from the competition.
Setup
After downloading the software, I installed it on my Microsoft Surface Book.
The installation was pretty standard until it asked for my photo library. Since it asked, I pointed it to my library. Big mistake, I have my photos on my Drobo 5N2 storage robot. I currently have it populated with 5400 RPM disks. Given that it is network-based, and has relatively slow disks, it simply isn’t that fast. Add to that that I have over 160,000 photos on it, and I had to sit for a couple of hours while Luminar spun through them all, building a catalog. Note to self: point it a small folder and add catalogs for specific subjects!
Once it finished, I created a new catalog for images for this review. As you add new images to a cataloged folder, Luminar automatically adds them to the catalog, so they show up the next time you open Luminar.
Here are the minimum requirements:
System Requirements for Mac OS
- MacBook, MacBook Air, MacBook Pro, iMac, iMac Pro, Mac Pro, Mac mini
- Processor Intel 64-bit Core 2 Duo or better
- Memory 8 Gb RAM or more
- macOS Mojave 10.14, High Sierra 10.13.1, Sierra 10.12.6, El Capitan 10.11.5
- Hard disk 10 GB free space, SSD for best performance
- Display 1280×768 size or better
System Requirements for Windows
- Windows-based hardware PC with mouse or similar input device
- OpenGL 3.3 or later compatible Graphics Cards
- Processor Intel Core i5 or better
- Memory 8 Gb RAM or more
- Operating System Windows 7 (only 64-bit OS), Windows 8.1 (only 64-bit OS), Windows 10 (only 64-bit OS)
- Hard disk 10 Gb free space, SSD for best performance
- Display 1280×768 size or better
I ran tests on my Microsoft Surface Book with 8GM RAM, Core i7-6600u 2.6GHz processor and Win 10 Pro 64-bit. Based on the requirements, my laptop is at the bottom in terms of RAM, but better than the minimum processor speed. While I have an SSD, as stated above, my images are on network attached storage, so I pay a performance hit there as well.
Performance
When I chose images for this review, I decided to grab a selection of pretty good images, and some pretty bad ones, in terms of lighting and contrast. If we’re going to have AI do the heavy lifting here, let’s see how intelligent it really is.
I created a new catalog for these images and let Luminar grab the images once I copied them into the catalog. Luminar has a complete suite of image management tools that include folders, where Luminar can manage your image folders and albums, where you can put similar images from different physical folders – think playlists in iTunes.
I also decided to try the batch processing option to get an idea of how practical that process is. If Luminar really bills itself as easing photographer’s workflow, it should actually make that workflow easier!
The batch processing window has a couple of default options to export images for email or the web. You get to decide what family of “looks” filters, and the specific AI filter to use when each image is processed as well as the level of the filter’s strength, from 0% to 100%. You pick the output destination, naming options, output file format, quality, and color space. Finally, you can resize the images with a variety of sizing or edge-binding options.
Given the limitations I have on my laptop, after grabbing eleven images for this review and choosing the Essentials collection AI Image Enhancer look at 100%, high-quality JPG output, setting an 800-pixel long-edge resizing and firing it up, I was prepared to sit and wait. I was pleasantly surprised when just about 90 seconds later, my images were all exported. Let’s see how they turned out.
Image 1
Let’s start with a shot of my wife & me in front of the London Eye. The lighting was horrific and the image was dark and flat. We were in shadows and are quite dark.
After processing, you can see how much richer the sky looks and we are brightened considerably.
To my eye, our shirts are a little over-boosted and have a bit of red tint added to our faces. This is easily controlled by dialing back the filter from 100% to perhaps 75%, but since I processed this all in batch mode, it was what it was.
Image 2
Here we are at the Tower of London on a cloudy day. We are backlit and pretty dark and the overall image is flat with little contrast.
After processing, contrast is up and everything looks much sharper. The traces of blue that were actually in the sky are now visible and our faces are brighter but like Image 1, have a red tint.
There was only so much Luminar could do lightening our faces. I would have to spend time in a new layer and process that layer with our faces independent from the rest of the image.
Image 3
London Bridge on a beautiful day. Colors look pretty good, but a little flat, compared to what the eye sees – a typical limitation of cameras.
After processing, everything is boosted and richer. This should be a postcard! The algae just above the waterline is now visible, where it fell off in the shadows in the original image.
Image 4
Stonehenge. Another partly cloudy, low-contrast day. Colors are all muted and the stones look flat and featureless.
After processing, contrast is improved and colors are boosted. I’m not as thrilled with how the stones were rendered as they are now darkened and some detail is lost.
Image 5
Here we are on a formal night on a cruise. Overall, I thought this looked pretty good straight out of the camera.
After processing, I do like the brightened shadow area in my tux, but I think some of the colors in my wife’s dress are a tad over-boosted. Like other images, there is a bit of red introduced in our faces.
Image 6
Another horrible image out of the camera. These Barbary macaques on Gibraltar were posing perfectly but there was no light on their faces.
After processing, the detail in their faces comes out as well as detail and color in their fur and detail on the wall
Image 7
This is a bull ring in Malaga, Spain. Straight out of the camera, colors are flat and the image is pretty low contrast.
After processing, the image pops. I really like how this turned out.
Image 8
Here we are, overlooking the marina in Monaco. This image looks pretty good out of the camera as the lighting was good and the sun was high, providing good contrast.
After processing, the sky and water are enhanced but my shirt, that was pretty darn bright already, is a bit overblown. The red tint we have been seeing on skin is there, but not as pronounced in this image as in previous ones.
Image 9
This is a view of Cassis, France from a bluff. There was a bit of light haze that day, making it difficult to get a really great photo.
After processing, the filter took care of the haze and really made this look great! Look at how it pulled the light purple out of the shadows on the plant in the lower right.
Image 10
Here we are in the Caves of Drach in Porto Cristo, Mallorca, Spain. This is underground with limited lighting and no flash.
After processing, everything is lightened up. While there is red/yellow tint, that is mainly due to the incandescent lighting, not the AI filter. I would take more time to edit this image, removing the color cast in Luminar – a very simple task.
Image 11
We had yet another beautiful sunset a couple of days ago, so I ran outside with my phone and took this. My Galaxy S9+ did an admirable job but failed to really capture the depth of colors I saw with my eye.
After processing, I now see pretty much what I saw with my eyes outside that evening.
I want to reiterate that all examples here were processed with me doing exactly no work at all. I just put them in a folder, chose a couple of options and came back two minutes later to complete, resized, processed images. Even with multiple images with really poor lighting and exposure, Luminar did a pretty good job rendering usable images, and in the worst cases, would only take a tweak or two to finish up.
What I like
- A plethora of included, AI-based looks – about 70 different looks
- Comprehensive manual image tools
- Complete control over how much each look adjusts the images
- Beyond simply scaling back on the filter, you can also tweak how it gets applied with the updated Accent AI 2.0 slider
- Comprehensive file naming tools for batch processing
What needs to be improved
- The interface takes some learning, but that’s pretty much the case with any image editing tool with this much power. Overall, Luminar does a good job being easy to use once you spend some time with it.
- Filters at 100% seem to over boost pretty regularly
- This can be mitigated by scaling back from 100% filter application
- When exporting images, either directly or as a batch, there is no option to save the file in its original folder – that would be a nice option, especially with all the batch renaming and overwriting protection options
Final thoughts
Overall, I am pretty impressed with Luminar 3.1.0 and its ability to improve images with a single touch. In addition, the variety of provided looks, from artistic to dramatic to simple to complex is impressive. The amount of power it brings to improve your images is terrific, especially at its price point.
If you are looking for a tool that can definitely help you process your images to get them to look like what you envisioned when you hit the shutter release, Luminar 3.1.0 should be on your short list of tools to consider.
Price: $60; $69 with a Photography 101 online class; $129 with the Photo 101 class plus Aurora HDR editor
Where to buy: Direct from Skylum Software
Source: The sample of this product was provided by Skylum Software.
Filed in categories: Reviews
Tagged: Photo editing software
Skylum Software Luminar 3.1.0 with Accent AI 2.0 photo editing software review originally appeared on The Gadgeteer on May 7, 2019 at 12:00 pm.
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What Is a Chromebook, and How Does It Differ from a Laptop?
If you are looking for a new computer, a Chromebook is an option for traditional PCs and Macs. They look like laptops from the outside, but once you log in it is an entirely different experience. What Is a Chromebook? Chromebooks are laptops that run Google’s Chrome OS instead of the usual Windows or macOS, and Chrome OS is simply an extension of the Google Chrome browser. So in short, it is basically a laptop that runs the Google Chrome browser. Since it is running Chrome OS, you won’t be able to install Windows or Mac applications on it. However, you can install Chrome… Read more
RAVPower FileHub review
REVIEW – My gadget nerd instincts are always on the lookout for some new device that can make my life easier and add convenience to my workflow. Until recently, when I edit pictures on my iPad, I would load the pictures from my compact flash card via a card reader. For me, this meant plugging out the power cable from my iPad and therefore stopping it from charging. Once I was done with editing the picture I would then insert the compact flash card into another card reader that is attached to my laptop so I could perform the additional functions that I need. My laptop does not have a USB-C port like my iPad Pro so that is why I use 2 card readers. Enter the RAVPower FileHub that allows me to wirelessly connect to the same storage as my iPad and once I am done with the photo, I can copy it to the storage on the FileHub and access it from my laptop.
What is it?
The RAVPower FileHub is a multipurpose device that can instantly convert a wired network to wireless with super-fast speeds of up to 433 Mbps Wi-Fi over 802.11ac and 300 Mbps on an 802.11n connection. It also offers additional features like one key backup to transfer files from an SD card to portable hard drive, and it can read USB hard drives up to 3TB and SD/SDHC/SDXC cards up to 256GB. You can also connect up to 5 mobile devices simultaneously allowing you to stream media from the SD or USB drives, or you can share files directly between two different storage devices.
Both Android and IOS devices are supported.
What’s in the box
1 x RAVPower FileHub
1 x Micro USB Cable
1 x User Guide
1 x Warranty/Support Card
Design and features
Specifications
Connectivity Technology: Wireless
Data Transfer Rate: 300 Mb per second
Data Transfer Rate: 5 GHz, 2.4 GHz
Item Dimensions: 4.45 x 3.03 x 0.91 in
Item Weight: 7 ounces
Wireless Compatibility: 2.4 GHz Radio Frequency, 5.8 GHz Radio Frequency
On the top surface of the hub, there is the brand name and a status indicator window. The status indicator from left to right as seen below shows internet, wifi, 5G, SD card, and USB connectivity.
On one side of the hub, there is a switch to select 2.4Ghz and 5Ghz, the SD card slot and the selector to choose SD and USB.
On the next side of the hub there is a rubber cover, Underneath the cover, there is a USB-A port, a micro USB port, and a network port.
On the 3rd side of the hub, there is the power button. (There is nothing on the 4th side of the hub)
Performance
The FileHub is lightweight and compact and very easy to set up. First I charged the device and then I downloaded and installed the app on my iPad. I then powered on the device and for my test, I decided to power on both the 2.4Ghz and 5Ghz options. Both appeared in the list of available devices on my iPad and I was able to connect to either one using the provided password. This was very simple. For most of my testing, I used one of my hotspot devices that is only 2.4Ghz, but I also tried it with my 2G/5G hotspot as well. The first picture below shows the indicator display on the front of the device with all of the options turned on. The device is connected to my iPad.
The next picture below shows an SD card inserted into the FileHub.
The picture below shows a USB card reader with a Compact Flash card in it, connected to the USB port on the FileHub.
The following three screenshots from the app show the connection process in order. As you can see in the first screenshot, the FileHub shows up in the wireless device list as both 2.4G and 5G since I have both turned on. In the second picture, the main screen in the app is shown, and the third picture shows the selection screen to connect the FileHub wirelessly to the internet. In this case, it is via my hotspot.
The following are screenshots from the app that show some of the features and functions:
I separated the following 2 screenshots from the app that show the thumbnails of my raw files in the first shot and the second shows the thumbnails as they start to show up as pics. I quite understand that at an average of 30MB per photo that they will take some time to fully populate. However, the amount of time it takes is so long that previewing raw files for selection is just about impossible.
What I like
- The connectivity options
- The versatility
- The built-in battery
- The device is lightweight and compact
- The performance
- The functionality as a charger and to be powered externally
- It functions as an access point, router or bridge
- The battery lasts long enough for the average work day
What can be improved
-
- The ability to display raw files faster
- A numerical(%) battery level meter both in the app and on the device
- The battery meter on the app shows what appears to be a different battery level than the device
Final thoughts
I really like this device and its features. While it is impossible for any device to offer everything, this device offers access to my SD cards and to other types of cards using a card reader and the USB option. I love that I can share my storage with multiple devices and although it requires a wireless connection, it offers a bridge connection so I do not have to choose between connecting to it or the internet. I have both!!. In addition, it functions as a router and a NAS which is just fantastic. For the functionality and the amazing price, I give RAVPower and this device two thumbs all the way up!!
Price: $55.99
Where to buy: Amazon and RavPower website
Sample: The sample for this review was provided by RAVPower
Filed in categories: Reviews
Tagged: Network Storage
RAVPower FileHub review originally appeared on The Gadgeteer on May 7, 2019 at 11:00 am.
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Swidget is a wall outlet with multiple personalities
NEWS – Turning your home into a smart home just got a little easier and future proof with Swidget. Swidget is a DIY replaceable electrical receptacle for a standard wall outlet that accepts snap-in inserts that use your home’s existing wiring to offer a variety of smart home features that work with WiFi, Z-Wave, Amazon Alexa, Google Assistant, IFTTT and Z-Wave compatible hubs like SmartThings and Vera.
The Swidget Outlet includes all necessary hardware for installation into an existing or new wall outlet. The following Swidget inserts are available now:
- Wi-Fi or Z-Wave Control- Control your outlet (lights, appliances or anything plugged in) from anywhere using your smartphone.
- USB Charger- A low profile outlet with a built-in USB charger that keeps the two plugs free for other uses.
Additional snap-in inserts that are coming soon include:
- Power Out Light (emergency light)
- Guide Light (nightlight)
- Motion Sensor
- Built-in Alexa
- Built-in Google Assistant
- HD video camera
- Aromatherapy
- White noise/Bluetooth speaker
Single Swidget Outlets are available for a suggested retail price of $39.99 USD. Insert prices start at $5.99 USD and will vary depending on connectivity and functionality. The Outlet and Inserts are available now on Swidget.com and Amazon.
Filed in categories: News
Tagged: Wall Outlet
Swidget is a wall outlet with multiple personalities originally appeared on The Gadgeteer on May 7, 2019 at 10:00 am.
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