Design system creation and integration is a challenging and rather tedious task. It can simply the development process or make it even harder. Anton Polyakov, Project Management Director for Innotech’s Mobile Development Department shares his team’s experience to demonstrate the unforeseen challenges they encountered.
InvokeAI 2.2 is now available to everyone. This update brings in exciting features, like UI Outpainting, Embedding Management and more. See highlighted updates below, or the full release notes for everything included in the release.
Hi everyone! My name is Dmitrii Konstantinov and this is a personal story of experience and growth in a cozy startup. How we made a business pivot and adapted the server and mobile apps for it. What challenges did we face and how did we solve them.
In 2021, we were contacted by an industrial plant that was faced with the need to create a system for analyzing processes in its production. The enterprise team studied ready-made solutions, but none of the analytics system designs fully covered the required functionality. So they turned to us with a request to develop their own analytical system that would collect data from all machines and allow it to be analyzed to see bottlenecks in production. For this project, we created a data-driven UI/UX design and also developed a web-based interface for the equipment monitoring system.
Great for seamless patterns, abstract drawings, and watercolor-styled images. How to use it and train a neural network on your own pictures?
Download the model here: https://huggingface.co/netsvetaev/netsvetaev-free
How we listened to the needs of our customers and implemented the feature with the maximum capabilities of the iOS and Android platforms. Then we looked into analytics, added onboarding, and usage grew. At the end of the article there are some cool conclusions and insights. Developing a video conferencing mobile app is fun!
Getting a task from a client, UX designers tend to pay attention to the design goals, not the contents of the website/app itself. There’s something completely wrong with it because the visual part might be superb, but when it frames a vague or wordy message, the client's goals won’t be reached.
To avoid this, a UX designer should dive deeper into the content, analyze it, and restructure it in an interface-friendly way. It doesn’t mean doing the copywriter’s job, it means collaborating. The reality is that sometimes the writing team is used to praising the product (because clients like that), or there is no copywriter involved in the project at all.
Provide proof instead of opinion
An impression is more powerful when the customer can conclude the product’s benefits on their own. Instead of a colorful line of adjectives like “ultimate” or “leading” you should aim at what exactly makes the product that cool. The trick is to be precise, preferably with an example.
It feels like everything about LPs has already been said, however, I still keep seeing the same mistakes being made over and over again both by start-ups and established companies. Here are some tips, backed up by my 10-year experience as a UX/UI Director in agencies and product-led companies. These alone will give a nice increase in your conversion rate, I guarantee.
Use a descriptive, not a salesy hero header
Answer the questions “What?” and “For whom?” as early on the page as possible. A very common pattern is the largest copy being an inspirational abstract slogan and below it in smaller font the actual statement about what the product is and what it does.
On average, online store users make 64 clicks before adding a product to the cart. Some clicks are useful - so-called discovery clicks that help lead to users finding a product they wish to buy, and some are useless that come as the result of poor UX. With great competition for convenience and increasingly reducing attention spans of users, each useless click reduces the number of visitors that will reach checkout.
You all know our mascot — a unicorn — many people grew fond of him! However, PVS-Studio has a supporting character who is also the antagonist of our product — a bug! Well, a bug is not omnipresent, indestructible evil. It's more like an everyday or a work-related trouble. In this article, you'll learn how we created a new character, and why he looks like a ladybug. Oh, and if you wonder why the hell he has a belly button — keep reading!
I know that my article can help a designer who spends a lot of time working and not feeling his or her growth. This article has some tips on how to start building your soft skills.
In this article, we shall provide some background on how multilingual multi-speaker models work and test an Indic TTS model that supports 9 languages and 17 speakers (Hindi, Malayalam, Manipuri, Bengali, Rajasthani, Tamil, Telugu, Gujarati, Kannada).
It seems a bit counter-intuitive at first that one model can support so many languages and speakers provided that each Indic language has its own alphabet, but we shall see how it was implemented.
Also, we shall list the specs of these models like supported sampling rates and try something cool – making speakers of different Indic languages speak Hindi. Please, if you are a native speaker of any of these languages, share your opinion on how these voices sound, both in their respective language and in Hindi.
In our last article we made a bunch of promises about our speech synthesis.
After a lot of hard work we finally have delivered upon these promises:
This is a truly break-through achievement for us and we are not planning to stop anytime soon. We will be adding as many languages as possible shortly (the CIS languages, English, European languages, Hindic languages). Also we are still planning to make our models additional 2-5x faster.
We are also planning to add phonemes and a new model for stress, as well as to reduce the minimum amount of audio required to train a high-quality voice to 5 — 15 minutes.
After Epic released the UE5 technology demo at the beginning of 2021, the discussion about UE5 has never stopped. Related technical discussions mainly centered on two new features: global illumination technology Lumen and extremely high model detail technology Nanite. There have been some articles [1 ][2] analyzing Nanite technology in more detail. This article mainly starts from the RenderDoc analysis and source code of UE5, combined with some existing technical data, aims to provide an intuitive and overview understanding of Nanite, and clarify its algorithm principles and design ideas, without involving too many source code level Implementation details.
Lumen is UE5’s GI system, it is different from the traditional real-time GI which only includes the contribution of indirect diffuse reflection. It also includes indirect diffuse reflection and indirect highlight, providing a new set of complete indirect lighting. Lumen supports both hardware-based RTX and software-based Trace algorithms. The starting point of this article is that Lumen GI uses the process, algorithm, and data structure analysis of indirect diffuse reflection part based on software Trace to understand the basic principle and operation mechanism of Lumen from a macro perspective.
The core of Lumen includes the following parts:
Today, we will share some knowledge points related to resource memory leak. A memory leak is the most common issue that we continuously see and also are afraid of. What is the reason behind it? Because we can’t predict the extent of the leak before we locate the leak bottleneck, we had no idea whether it will burst out at a certain moment on the line. We have received feedback from developers that their players had no problem playing for half an hour, but they would get more and more stuck after 3 to 4 hours of playing, which they never expected before. How can it be solved? Today’s sharing will answer such questions.
UWA’s GOT Online-Assets report has a resource occupancy trend chart. If there is a rising trend like the one below, you must pay special attention.
Since 2011 all Intel GPUs (integrated and discrete Intel Graphics products) include Intel Quick Sync Video (QSV) — the dedicated hardware core for video encoding and decoding. Intel QSV is supported by all popular video processing applications across multiple OSes including FFmpeg. The tutorial focuses on Intel QSV based video encoding and decoding acceleration in Windows native (desktop) applications using FFmpeg/libavcodec for video processing. To illustrate concepts described, the open source 3D Streaming Toolkit is used.
This article continues the series of articles on load tests. Today we will analyze the testing methodology and answer the question: "How many IP cameras can be connected to a WebRTC server?"
Do you remember how just a few years ago it was a disaster to lose a camera at the end of a vacation? All memorable pictures and videos then disappeared along with the lost device. Probably, this fact prompted the great minds to invent cloud storage, so that the safety of records no longer depends on the presence of the devices on which these records are made.
We continue to review variants of load tests. In this article we will go over the testing methodology and conduct a load test that we will use to try and determine the number of users that could watch and stream at the same time, meaning the users will simultaneously publish and view the streams.