#Imaging & Compression SDK

[exleads]

Seamless Image File Format Conversions with ImageWizHelper SDK by Extrieve Technologies

 

Simplify image file format conversions in your projects with ImageWizHelper SDK from Extrieve Technologies. This versatile library ensures smooth and efficient transformations between various image formats, enhancing your application's functionality. Upgrade your workflow with ImageWizHelper today!  

[vizenthemant]

Step-by-Step Guide to Building 3D Model Augmented Reality for Product Demos

Step-by-Step Guide to Building 3D Model Augmented Reality for Product Demos

In today's competitive market, static images and even traditional videos are often insufficient to capture the full attention and imagination of potential customers. Consumers demand immersive, interactive experiences that allow them to truly understand a product before making a purchase. This is where 3D Model Augmented Reality for product demos emerges as a game-changer. This guide provides a step-by-step roadmap for businesses looking to harness the power of 3D Model Augmented Reality to revolutionize their product demonstrations and marketing efforts.

Step 1: Define Your Product and Use Case for 3D Model Augmented Reality

Before diving into the technicalities, clearly define which product or set of products you want to showcase in 3D Model Augmented Reality. What are its key features? How would viewing it in AR enhance the customer's understanding or decision-making process? The initial conceptualization is crucial for guiding the entire 3D modeling process. Understanding your specific product demo needs will shape the subsequent steps in building your 3D Model Augmented Reality experience.

Step 2: Acquire or Create High-Quality Architectural 3D Modeling Assets

The foundation of any successful 3D Model Augmented Reality experience is a high-quality 3D model of your product. This is where Architectural 3D Modeling expertise becomes paramount. You have a few options:

Existing CAD Files: If your product was designed using CAD software, these files are an excellent starting point. They provide accurate dimensions and geometries. However, they will likely need optimization for AR platforms (e.g., reducing polygon count, unwrapping UVs for textures).

3D Modeling Services: For complex products, or if you lack in-house 3D modeling expertise, consider engaging professional 3D Modeling Services. These companies specialize in creating photorealistic, optimized 3D models suitable for various applications, including 3D Model Augmented Reality. They can ensure the model is scaled correctly and has the necessary level of detail for a compelling demo.

In-House Creation: If you have skilled 3D artists, they can create the models from scratch using software like Blender, 3ds Max, or Maya. Ensure the models are properly textured and lit to appear realistic in a real-world environment.

Step 3: Optimize 3D Models for Augmented Reality Platforms

Raw 3D models from design software are often too heavy (too many polygons, large textures) for smooth performance in AR on mobile devices. Optimization is key to ensure a seamless and responsive AR 3D Modeling experience. This involves:

Polygon Reduction: Decreasing the number of polygons without sacrificing essential visual detail.

Texture Baking and Compression: Combining multiple textures into one (atlas) and compressing them for smaller file sizes.

Proper Scaling: Making sure the 3D model appears at the correct real-world scale when placed.

Many 3D Modeling for 3D Printing  or specialized 3D Model Maker for 3D Printer also offer model optimization as part of their comprehensive 3D printing offerings.

Step 4: Pick Up the Right AR Platform and Tools

Several platforms enable the creation of 3D Model Augmented Reality experiences:

Native AR SDKs: Apple's ARKit (for iOS) and Google's ARCore (for Android) offer robust capabilities for developers to build custom AR apps.

Web-based AR: Frameworks like 8th Wall, Zappar, or even emerging WebXR standards allow AR experiences to be accessed directly through a web browser, eliminating the need for app downloads. 

AR Creation Platforms/Tools: Tools like Unity or Unreal Engine, combined with AR SDKs, provide comprehensive environments for building complex AR applications with interactive elements. Some no-code or low-code platforms are also emerging for simpler AR experiences.

Step 5: Develop the Augmented Reality Application/Experience

This is where the magic happens. Key development considerations include:

Tracking and Placement: Implementing robust surface detection to allow users to accurately place and orient the 3D model in their environment.

Interaction Design: Defining how users will interact with the model (e.g., scaling, rotating, tapping to view features, changing colors/materials).

User Interface (UI): Designing an intuitive interface for controls and information display.

Step 6: Integrate Dynamic Features and Data

To make your 3D Model Augmented Reality demo truly stand out, consider adding dynamic elements beyond simple placement. This could include:

Configuration Options: Allowing users to change product variants, colors, or components in real-time. This is often crucial for 3D product modeling services aimed at configurators.

Functional Demonstrations: This might involve simple animations or even a full Virtual Reality 3D Modeling of its moving parts.

Real-time Data Integration: Displaying pricing, specifications, or even availability information directly within the AR view.

Step 7: Testing and Iteration for Optimal Performance

Thorough testing is crucial. Look for:

Performance: Is the experience smooth and responsive? Are there any lags or crashes?

Accuracy: Does the model appear at the correct scale? Is tracking stable?

Usability: Is the interface intuitive? Can users easily interact with the product?

Visual Quality: Does the product look realistic and blend well with the real environment?

Gather feedback ensures that your 3D Model Augmented Reality provides the best possible product demo. This iterative process is also fundamental to high-quality AR Product Visualization.

Step 8: Deployment and Marketing

Once your AR 3D Modeling product demo is perfected, deploy it. This could involve:

App Store Submission: For native AR apps.

Website Integration: Embedding web-based AR experiences directly on your product pages.

QR Codes: Using QR codes on marketing materials (brochures, packaging) to instantly launch the AR experience.

Sales Team Training: Equipping your sales team with the tools and knowledge to effectively use the AR demo during presentations.

Promote your 3D Model Augmented Reality demo across your marketing channels, highlighting the unique interactive experience it offers.

Conclusion: The Future of Product Engagement is Augmented

3D Model Augmented Reality is rapidly transforming product demos from passive viewing to active engagement. By following this step-by-step guide, businesses can leverage high-quality AR Product Visualization , strategic platform choices, and meticulous development to create immersive experiences that allow customers to visualize products in their own context. This leads to higher purchase confidence, reduced returns, and a distinct competitive advantage. Whether you're enhancing an existing product line or launching a new innovation, investing in AR 3D Modeling  is a strategic move towards a more interactive and impactful future for product marketing. The expertise of an VR 3D Modeling or specialized Virtual Reality 3D Modeling can be invaluable in bringing these dynamic demos to life, creating stunning visuals, perhaps even tying into VR 3D Modeling experiences for more complex products or environments.

[siliconsignalsblog]

How to Build STQC-Ready Camera Devices Without Delays

Building embedded camera systems for government or identity-driven applications like Smart Surveillance? Then you already know: STQC certification isn't optional — it's critical. 

Yet, most teams treat it as a final checkbox — and end up in a cycle of rejections, delays, and costly redesigns. Without STQC built into your product from Day 1, your launch timeline can collapse, your budget can spiral, and your hardware may never reach market. 

For most OEMs, STQC becomes a roadblock — unless compliance is designed in from day one 

⚠️ The Hidden Cost of Ignoring STQC Early 

Many OEMs and product startups treat STQC like an afterthought — a final checkbox before launch — instead of a core engineering requirement. This misstep frequently leads to: 

❌ Sensor misalignment  

❌ Delays due to non-conforming illumination or liveness detection requirements 

❌ Broken firmware pipelines with improper image compression 

❌ Integration failures with UIDAI-certified SDKs and APIs 

Each of these issues introduces costly reworks, failed certification attempts, and months of delay, pushing your launch further away. 

Silicon Signals: Your Partner in STQC-Focused Product Design 

At Silicon Signals, we bring compliance-first thinking to embedded camera design. Our approach is to build STQC-compliant camera products from the ground up — so you’re always ready for certification, not scrambling for it. 

Here’s how we help accelerate your STQC journey: 

🔹 Hardware Selection with Certification in Mind 

We assist with choosing the right camera sensor and lens combination that meets STQC clarity, brightness, and resolution benchmarks. 

🔹 Image Processing Pipeline Optimization 

Our teams engineer STQC-compliant image paths, including white balance, exposure control, and JPEG compression formats suitable for Aadhaar systems. 

🔹 Liveness Detection Integration 

We support both on-device (edge) and cloud-assisted liveness detection, ensuring your product passes anti-spoofing tests. 

🔹 Secure Embedded Firmware Design 

From kernel-level tamper protection to data encryption, we ensure your system meets MeitY’s security guidelines for UIDAI-linked hardware. 

🔹 Aadhaar API & SDK Integration 

We help interface your camera hardware with UIDAI APIs, enabling smooth communication for real-time biometric matching. 

🤝 Certification Guidance Without the Guesswork 

We collaborate with STQC test labs and certification partners, helping you: 

Avoid misinterpretation of specs 

Prepare correct documentation 

Handle pre-certification and regression testing 

Streamline submission and approval cycles 

What You Can Expect Working with Us 

40–60% Faster STQC Certification 

️End-to-End Support — from PoC to Lab Submission 

Compliance-Ready Firmware & Image Pipelines 

Reduced Rework = Lower Development Costs 

Let’s Simplify STQC Together 

Whether you’re just starting or already have a prototype, Silicon Signals can help you build a STQC-ready embedded camera product with minimal friction. Our team of experts knows how to de-risk the certification journey — and we’re ready to do it for you. 

📅 Ready to build a STQC-ready camera — the smart way?  Let’s fast-track your path to STQC-approved camera hardware. 

[himanshu123]

Reducing iOS App Size Without Sacrificing Functionality 

As user expectations grow and storage constraints persist—especially on older devices—iOS mobile application development teams are under increasing pressure to build lightweight yet fully functional apps. With limited storage on iPhones and iPads, users are more likely to delete apps that consume too much space or hesitate to download large ones in the first place. 

Reducing your iOS app's size isn't just a technical optimization—it's a competitive advantage. But how can developers trim down an app without compromising its core features or user experience? In this post, we’ll dive into proven strategies and tools to help developers minimize app size while still delivering a powerful product. 

Why App Size Matters More Than Ever 

App size plays a critical role in user acquisition and retention. According to industry data, apps larger than 200 MB are often skipped due to limited mobile data plans or slow download speeds. On the Apple App Store, apps over 200 MB cannot be downloaded over cellular data without Wi-Fi—an important restriction for on-the-go users. 

Moreover, as more functionalities are added, app size can quickly balloon out of control. Developers need smart strategies to strike the right balance between functionality and file size. 

1. Optimize Image Assets 

One of the first and most effective ways to reduce app size is by optimizing image assets. Use vector graphics (like PDFs or SVGs) instead of raster images when possible. Also, implement image compression tools such as: 

ImageOptim 

TinyPNG 

JPEGmini 

Additionally, consider using asset catalogs and slicing techniques like @2x, @3x only where necessary to reduce redundant high-resolution files for unsupported devices. 

2. Use App Thinning 

Apple’s App Thinning technology—comprising Slicing, Bitcode, and On-Demand Resources—is a game-changer in reducing the actual size of the app installed on a device. 

Slicing: Creates device-specific app variants. 

Bitcode: Uploads intermediate representation, allowing Apple to re-optimize the app binary. 

On-Demand Resources: Lets you tag resources to be downloaded only when needed, reducing initial download size. 

Using these techniques can significantly decrease the amount of data users need to install and run your app. 

3. Remove Unused Code and Libraries 

Over time, codebases accumulate unused methods, classes, and third-party libraries. These not only increase app size but also potentially introduce security vulnerabilities. 

Tools like Xcode’s static analyzer, SwiftLint, and AppCode help identify dead code. Additionally, selectively importing third-party SDKs rather than bloating your project with full libraries can make a substantial difference. 

4. Modularize Your Codebase 

Dividing your code into smaller, reusable modules makes it easier to isolate what’s essential during the initial install. Non-essential modules—such as less frequently used features or premium content—can be downloaded later through Apple’s On-Demand Resources or custom logic. 

This is a smart approach for apps with multiple functions like e-learning platforms, where some users might only use a fraction of the available content. 

5. Analyze Before You Build 

Using tools like Xcode’s size report and App Store Connect analytics, developers can identify which components contribute most to app size. Once you’ve visualized your app’s weight distribution, you can better target optimizations. 

This leads to smarter budgeting and planning. If you’re still in the early stages, a mobile app cost calculator can help estimate how your design decisions (including those affecting size) will impact the overall development cost. 

Want expert help streamlining your app without losing its core features? Book an Appointment with our iOS specialists today. 

6. Compress and Optimize Audio/Video 

Media files can eat up storage faster than any other asset. Use efficient formats like HEVC (H.265) for video and AAC for audio. Additionally, stream or download larger media files only when required instead of bundling them into the initial app install. 

Apps that rely on heavy media—like workout videos or meditation guides—can adopt a hybrid strategy by loading lighter versions initially and allowing the user to download HD content later. 

7. Reevaluate Fonts and Icons 

Many developers overlook fonts and icons as a source of unnecessary bulk. Use system fonts where possible instead of bundling custom fonts. If you must use custom typography, include only the characters you need, particularly if your app supports multiple languages. 

Similarly, switch from icon sets to icon fonts or vector graphics to reduce redundancy and improve scaling across devices. 

8. Keep Your Build Settings Clean 

Regularly cleaning up your build settings and configurations in Xcode can prevent unnecessary files from sneaking into your final product. Also, avoid embedding debugging tools, test frameworks, or logging modules in production builds. 

Use build flags to ensure that development-only features are stripped from release versions. This not only saves space but also improves security and performance. 

Final Thoughts: Less Can Be More 

Reducing iOS app size while maintaining functionality is a nuanced process that blends strategy with smart tooling. It’s not about cutting corners—it’s about refining your app to focus on what truly matters to your users. 

Smaller apps load faster, install quicker, and often provide a smoother user experience. By leveraging Apple’s App Thinning, optimizing assets, and trimming unnecessary code, you can ensure that your app is lean without being lacking. 

Whether you’re building a new app or refining an existing one, adopting these practices can significantly improve usability and accessibility—key factors in a competitive App Store market. 

If you're looking for expert guidance on building optimized, user-friendly apps, explore our Custom iOS App Development Services. We’re here to help you create impactful, scalable applications that never compromise on performance. 

[souhaillaghchimdev]

Augmented & Virtual Reality (AR/VR) App Development

Augmented Reality (AR) and Virtual Reality (VR) are transforming the way we interact with digital content. From immersive games to educational simulations and training environments, AR/VR technologies provide dynamic user experiences that bridge the physical and virtual worlds. In this guide, we’ll explore how to start building AR and VR applications and what tools you need.

What is AR and VR?

Augmented Reality (AR): Enhances the real world by overlaying digital content through devices like smartphones or AR glasses.

Virtual Reality (VR): Immerses the user in a completely virtual environment, often using headsets like Oculus Rift, HTC Vive, or Meta Quest.

Popular Platforms and Tools for AR/VR Development

Unity: A powerful game engine with support for AR and VR development using C#.

Unreal Engine: High-fidelity engine great for immersive VR applications.

ARCore (Google): Framework for building AR apps on Android devices.

ARKit (Apple): Framework for creating AR experiences on iOS devices.

Vuforia: A popular AR SDK that works with Unity and supports image tracking.

WebXR: A browser-based API for building AR/VR experiences using JavaScript.

Basic Workflow for AR/VR Development

Choose Your Platform: Decide whether you're developing for mobile (AR), desktop (VR), or standalone headsets.

Set Up Your Development Environment: Install Unity or Unreal Engine and relevant SDKs (ARKit, ARCore, Oculus SDK, etc.).

Create 3D Assets: Use tools like Blender, Maya, or asset libraries to design models and environments.

Program Interactions: Use C# (Unity) or Blueprints/C++ (Unreal) to script behavior.

Test and Optimize: Regularly test on target devices and optimize performance for smooth rendering.

Example: Simple AR App with Unity and Vuforia

Install Unity and add the Vuforia Engine package.

Set up an AR Camera in your scene.

Add an Image Target (e.g., a printed marker).

Place a 3D object (like a cube or model) on the Image Target.

Build and run on your mobile device to see the 3D object appear when the camera detects the marker.

Applications of AR/VR

Gaming: Immersive gameplay experiences and mixed reality adventures.

Education & Training: Virtual labs, simulations, and skill-based training.

Healthcare: Surgical training, anatomy visualization, and therapy.

Retail: Virtual try-ons and interactive showrooms.

Architecture & Real Estate: Virtual property tours and 3D modeling walkthroughs.

Tips for AR/VR Development

Design for comfort: avoid motion sickness in VR with smooth camera transitions.

Keep UI intuitive: use spatial UI elements that are easy to interact with.

Optimize assets: use low-poly models and texture compression for better performance.

Test on multiple devices: ensure compatibility and performance across platforms.

Stay updated: follow AR/VR development communities and keep your tools current.

Conclusion

AR and VR are no longer futuristic concepts—they're actively shaping the way we learn, play, and work. With the right tools and a creative mindset, you can start building powerful immersive applications. Whether you’re designing virtual classrooms or augmented art galleries, AR/VR development offers a thrilling world of opportunities to explore.

[howzitsa]

Hikvision 2MP 2.8mm ColorVu Fixed Bullet IP Camera Camera Image Sensor: 1/2.8" Progressive Scan CMOS Max. Resolution: 1920 × 1080 Min. Illumination: 0.0005 Lux @ (F1.0, AGC ON), 0 Lux with Light Shutter Time: 1/3 s to 1/100,000 s Angle Adjustment: Pan: 0° to 360°, tilt: 0° to 90°, rotate: 0° to 360° Lens Lens Type: Fixed focal lens, 2.8 mm optional Focal Length & FOV: 2.8 mm, horizontal FOV 107°, vertical FOV 56°, diagonal FOV 127° Lens Mount: M12 Iris Type: Fixed Aperture: F1.0 Depth Of Field: 2.8 mm, 1.7 m to ∞ DORI DORI: 2.8 mm, D: 46 m, O: 18 m, R: 9 m, I: 4 m Illuminator Supplement Light Type: White light Supplement Light Range: 40 m Smart Supplement Light: Yes Audio Audio Compression: -U: G.711ulaw/G.711alaw/G.722.1/G.726/MP2L2/PCM/MP3/AAC Audio Bit Rate: -U: 64 Kbps (G.711ulaw/G.711alaw)/16 Kbps (G.722.1)/16 Kbps (G.726)/32 to 192 Kbps (MP2L2)/8 to 320 Kbps (MP3)/16 to 64 Kbps (AAC) Audio Sampling Rate: -U: 8 kHz/16 kHz/32 kHz/44.1 kHz/48 kHz Environment Noise Filtering: -U: Yes Network Protocols: TCP/IP, ICMP, HTTP, HTTPS, FTP, DHCP, DNS, DDNS, RTP, RTSP, NTP, UPnP, SMTP, IGMP, 802.1X, QoS, IPv4, IPv6, UDP, Bonjour, SSL/TLS, PPPoE, SNMP Simultaneous Live View: Up to 6 channels API: Open Network Video Interface (PROFILE S, PROFILE G, PROFILE T), ISAPI, SDK User/Host: Up to 32 users. 3 user levels: administrator, operator and user Security: Password protection, complicated password, HTTPS encryption, IP address filter, Security Audit Log, basic and digest authentication for HTTP/HTTPS, TLS 1.1/1.2, WSSE and digest authentication for Open Network Video Interface Network Storage: NAS (NFS, SMB/CIFS), auto network replenishment (ANR) Client: iVMS-4200, Hik-Connect, Hik-Central Web Browser: Plug-in required live view: IE 10+ Plug-in free live view: Chrome 57.0+, Firefox 52.0+ Local service: Chrome 57.0+, Firefox 52.0+ Image Image Parameters Switch: Yes Image Settings: Rotate mode, saturation, brightness, contrast, sharpness, gain, white balance adjustable by client software or web browser Day/Night Switch: Day, Night, Auto, Schedule Wide Dynamic Range (WDR): 120 dB SNR: ≥ 52 dB Image Enhancement: BLC, HLC, 3D DNR Interface Ethernet Interface: 1 RJ45 10 M/100 M self-adaptive Ethernet port On-Board Storage: Built-in memory card slot, support microSD/SDHC/SDXC card, up to 256 GB Built-In Microphone: -U: Yes Reset Key: Yes Event Basic Event: Motion detection (human and vehicle targets classification), video tampering alarm, exception Smart Event: Line crossing detection, intrusion detection, region entrance detection, region exiting detection (support alarm triggering by specified target types (human and vehicle)) Scene change detection Linkage: Upload to NAS/memory card/FTP, notify surveillance center, trigger recording, trigger capture, send email Deep Learning Function Face Capture: Yes General Power: 12 VDC ± 25%, 0.5 A, max. 6.0 W, Ø5.5 mm coaxial power plug PoE: 802.3af, Class 3, 36 V to 57 V, 0.25 A to 0.15 A, max. 7.5 W Dimension: 215.2 mm × 78.8 mm × 78.6 mm (8.5" × 3.1" × 3.1") Package Dimension: 315 mm × 137 mm × 141 mm (12.4" × 5.4" × 5.6") Approx. 680 g (1.5 lb.): With Package Weight: Approx. 1000 g (2.2 lb.) Storage Conditions: -30 °C to 60 °C (-22 °F to 140 °F). Humidity 95% or less (non-condensing) Startup And Operating Conditions: -30 °C to 60 °C (-22 °F to 140 °F). Humidity 95% or less (non-condensing) Language: 33 languages English, Russian, Estonian, Bulgarian, Hungarian, Greek, German, Italian, Czech, Slovak, French, Polish, Dutch, Portuguese, Spanish, Romanian, Danish, Swedish, Norwegian, Finnish, Croatian, Slovenian, Serbian, Turkish, Korean, Traditional Chinese, Thai, Vietnamese, Japanese, Latvian, Lithuanian, Portuguese (Brazil), Ukrainian General Function: Anti-flicker, heartbeat, mirror, privacy mask, flash log, password reset via email, pixel counter Approval EMC: FCC SDoC (47 CFR Part 15, Subpart B); CE-EMC (EN 55032: 2015, EN 61000-3-2: 2014, EN 61000-3-3: 2013, EN 50130-4: 2011 +A1: 2014); RCM (AS/NZS CISPR 32: 2015); IC (ICES-003: Issue 6, 2016);KC (KN 32: 2015, KN 35: 2015) Safety: UL (UL 60950-1); CB (IEC 60950-1:2005 + Am 1:2009 + Am 2:2013, IEC 62368-1:2014); CE-LVD (EN 60950-1:2005 + Am 1:2009 + Am 2:2013, IEC 62368-1:2014); BIS (IS 13252(Part 1):2010+A1:2013+A2:2015); LOA (IEC/EN 60950-1) Environment: CE-RoHS (2011/65/EU); WEEE (2012/19/EU); Reach (Regulation (EC) No 1907/2006) Protection: IP67 (IEC 60529-2013)

[veryutils]

VeryUtils DWG to PDF Converter SDK for Developers Royalty Free

VeryUtils DWG to PDF Converter SDK for Developers Royalty Free.

https://veryutils.com/dwg-to-pdf-converter-sdk

VeryUtils AutoCAD DWG to PDF Converter SDK is a DWG, DXF and DWF to PDF Conversion DLL Library for Developers. You can use it to convert DWG to PDF, DXF to PDF and DWF to PDF directly without the need for AutoCAD. This software swiftly and effortlessly converts DWG, DXF and DWF files into high-quality PDF files. VeryUtils DWG to PDF Converter SDK is a SDK that you can integrate it into your software for redistribution after purchasing the royalty-free license.

VeryUtils DWG to PDF Converter SDK provides you with flexibility and robust functionality to convert DWG, DXF and DWG files to PDF files on the fly. It's the best SDK software for converting AutoCAD files to PDF files on server and client systems. AutoCAD VeryUtils DWG to PDF Converter SDK is a control component that allows you to convert DWG to PDF, DXF to PDF, and DWF to PDF directly, without requiring AutoCAD.

✅ VeryUtils DWG to PDF Converter SDK Key Features:

Convert thousands of files while maintaining folder structure.

Batch combine multiple DWG files into a single PDF (requires PDF Split-Merge Software).

Create a .bat file to reuse conversion settings.

Send prompts directly within the SDK environment.

Stand-alone software; AutoCAD is NOT required.

Supports all versions of AutoCAD DWG, DXF, DWF files.

PDF encryption and password protection.

Supports SDK operation; you can call it from a script or your application.

Batch conversion supported; you can call it from a .bat file.

Supports all Windows systems, including both 32-bit and 64-bit systems.

Convert all DWG and DXF files to PDF files in a folder and its sub-folders recursively with one SDK.

Support for all versions of DWG, DXF and DWF formats.

Set page size directly or choose predefined sizes quickly.

Support for AutoCAD pen sets file (*.ctb).

Automatically adjust output paper size with layout settings.

Export layer and raster image objects to PDF.

Support for 3D objects hidden line removal.

Support for searchable text entities and hyperlinks.

Export arc/circle objects to true arc/circle objects in PDF.

Support for pen width and destination colors settings; settings can be exported/imported.

Convert model space, all layouts, all paper space, or the last active layout to PDF.

Export to compressed PDF file format.

Automatically create bookmarks with layout and file names.

Adjust PDF file quality with DPI parameter.

Encrypt outputted PDF files with PDF security options.

Support for "true colors," "gray," and "white/black" color modes.

Easy-to-use and powerful software.

Supports DWG, DXF, and DWF versions from R2.5 to 2019.

Create PDF files with or without model space.

Create individual PDF files per layout.

Support for all standard and customizable output paper sizes.

Batch mode supported.

Stand-alone utility - AutoCAD NOT required: This full-featured DWG to PDF Control Component is a completely standalone utility and does not require any products from AutoDesk to use this converter.

Embedding Control to Your Own Product: AutoCAD VeryUtils DWG to PDF Converter SDK is a DLL Library that you can embed into your software to add the feature to convert DWG, DXF, and DWF files to PDF files. With a distribution license, you can distribute the software to other users.

Supports Multiple Programming Languages: The AutoCAD VeryUtils DWG to PDF Converter SDK is a standard Windows DLL Library developed in VC++. It is compatible with all Windows-based development environments, such as Visual C++, VB, C#, VB.NET, ASP.NET, Delphi, FoxPro, VBScript, JavaScript, etc.

Batch Process: This control allows you to convert a single drawing file (DWG, DXF, or DWF) to a PDF file directly. Even complete folders can be converted in one go; batch processing is available.

[exleads]

What is Image Compression? Why Do We Need Image Compression? 

Enhance your digital workflow with Extrieve's ImageWizHelper SDK, perfect for effortless image compression, conversion, and merging. Optimize storage, data transmission, and website performance. Download now for seamless integration! 

[oprezoindia]

Creating a high-performance Flutter app involves optimizing various aspects of your development, design, and implementation. Here’s a comprehensive guide to help you develop a high-performance Flutter app:

Efficient Widget Structure:

Design your widgets to be modular, reusable, and focused on a single responsibility.

Use StatelessWidget and StatefulWidget effectively for efficient rendering.

UI Rendering and Layout:

Optimize your app’s layout using Flutter’s layout widgets (e.g., Row, Column, Flex) and constraints.

Minimize unnecessary widget nesting and use efficient layout techniques.

State Management:

Choose an appropriate state management solution like Provider, Riverpod, or Bloc for efficient data handling.

Optimize state updates using ChangeNotifier, ValueNotifier, or reactive programming.

Data Fetching and APIs:

Utilize efficient data fetching libraries like Dio or http for network requests.

Implement caching, pagination, and request throttling to enhance performance.

Image and Asset Optimization:

Optimize and compress images to reduce app size and loading times.

Use assets efficiently and consider using image placeholders for better perceived performance.

Bundle Size Reduction:

Use Dart’s tree shaking and code splitting features to reduce the app’s JavaScript bundle size.

Utilize Flutter’s platform-specific APIs and packages to reduce unnecessary dependencies.

Performance Profiling and Monitoring:

Utilize Flutter’s built-in performance tools like the Performance Overlay and Dart DevTools for profiling.

Analyze CPU, memory, and GPU usage to identify and address bottlenecks.

Navigation and Routing:

Use Flutter’s navigation libraries like Navigator and Routes for efficient app navigation.

Implement route-based code splitting to load widgets on-demand.

Background Processing:

Utilize Flutter Isolates for background processing and offloading tasks.

Use plugins like WorkManager for efficient background jobs and data synchronization.

UI Responsiveness and Animations:

Optimize UI updates and animations for smooth and responsive user interactions.

Use Flutter’s animation APIs and packages like Rive for high-performance animations.

Memory Management:

Be mindful of memory usage and optimize memory management to prevent crashes and slowdowns.

Utilize Dart’s garbage collection mechanisms and memory profilers.

Error Handling and Crash Reporting:

Implement error handling and use Flutter’s ErrorWidget framework to gracefully handle errors.

Integrate crash reporting tools like Sentry or Firebase Crashlytics for real-time error monitoring.

Localization and Internationalization:

Optimize your app for internationalization using Flutter’s intl package.

Load translations dynamically to reduce initial bundle size.

Accessibility (a11y) Considerations:

Ensure your app is accessible by using semantic widgets and providing proper accessibility labels.

Test your app with screen readers and adhere to accessibility guidelines.

Continuous Monitoring and Updates:

Regularly monitor user feedback, app analytics, and performance metrics to identify areas for improvement.

Keep your Flutter SDK and packages up to date to leverage performance enhancements.

https://www.oprezoindia.com/flutter-app-development.php

[extrieve]

Reduce the upload time of multiple documents from here on!

As you might be knowing, the upload time depends on different factors like the network speed, the response of the webserver, and upload file size, etc. You will have to check with your IT team and review whether these factors were considered while building an application.

In case if this is related to file size, there are ways to compress and reduce the file size in android. But have you ever thought about why these challenges happen?

 I am listing down a few!

 •Digitalization has triggered a high volume of mobile-based image capture. 

•There is no standard layout size for images that are getting captured from mobiles. 

•Mobile apps are developed only with a focus on UI flow and document capture processes are implemented using default cameras and libraries. 

•This results in sub-quality UX capture flow. 

•Based on the type of the camera (1 Megapixel to 60/80 Megapixels.) The size of each image also varies. 

•This results in higher time to upload, network usage as well as higher storage usage.  

So, here comes the solution!

Try integrating QuickCapture which is a mobile SDK, the application that allows developers to integrate and thereby improve the overall document capture experience for the end-users. The benefits of using this are many!

 It simplifies the multi-shot capture process and saves infrastructure costs for customers with smaller files sizes.  It has the ability to Autofocus and detects shake, ensuring the best quality images with less effort. This is not the first time I am writing about mobile SDK for android. So yeah, thank me later for suggesting the best document scanner to you!

[solveigmm5]

Solveig Multimedia

solveig mm

Solveig Several, founded in 2003, is a research in addition to development company Most people design Windows-based program intended to win difficulties with the most complex movie editing tasks with regard to both consumers along with professionals. Our applications and SDKs assistance cutting-edge video requirements and formats just like MP4 ISO, AVCHD, WEB M and HTML5 video, H264/AVC, Matroska, MPEG-2, or anything else. SolveigMM has been a item of the Elecard Class since its founding, and is a member for the ISDEF association together with a Microsoft Registered Participant. Our company is situated in the heart of the Siberian science region, within the city of Tomsk.

solveig mm

We build supplements based on solid idea of the following technologies together with architectures: Spatial and additionally temporal compression engineering and algorithms meant for video

DirectShow base COM/COM+, ActiveX 'microsoft' Windows Media Microsof company Windows Driver Brand (WDM) Broadcast Person Architecture (BDA) Some of our products are used such areas as Enhancing and Capture Treatments Digital Video Broadcasting IPTV Video Multi media Software Development Monitoring Video Content Censoring Surgical Imaging Training video Teaching and Income Presentations Webinars Creating and Editing This products and SDKs provide a range of know-how technologies fast in addition to lossless frame correct video editing using a large number of formats helped (MP4, AVCHD, MPEG-2, etc . ) speedy re-encoding/transcoding/transrating of MPEG-2 video grabbing online video during playback around overlay mode using a Windows OS catching direct sound in delivery to sound systems on a Windows COMPUTER ITSELF

[codeofelm]

Day 1 - Unity - Asset Formats

Yesterday, we looked at Unity from the outside. Today, we... do the same thing. As much as I would love to just jump in and import all my assets. We should probably understand the formats Unity handles. 

For a 2D project, we are probably only concerned with images, audio and packages. Let’s get started.

Asset Formats

Image Files

Unity supports BMP, TIF, TGA, JPG and PSD.  Layered PSD files are particularly interesting as Unity allows you to import these too. Unity compresses all the assets you import. With this in mind, what format you use is up to your personal preference. For PSDs, It’ll compress the PSD into a flat image when running it, but allow you to retain your layers. (This is because you can open the source file within Unity, and so you can keep all your layers if you need to make changes). This can be very useful, so it’s up to you to decide if you need this. On the other hand, if your PSDs are very large, this can increase the size of your project overtime. 

Also note that PNGs are not listed as supported for Unity. Although you can still import them. If you want to use alpha/transparency correctly. You’ll need an alpha mask/channel in your image. PSDs can also handle this nicely. 

Audio 

Uncompressed audio files are imported into unity according to the compression settings specified. I won’t be looking at audio in detail just yet, but the formats that are listed as supported are: MP3, OGG, WAV, AIFF/AIF, MOD, IT, S3M and XM. 

Standard Assets Standard assets can be downloaded from the asset store. They are a collection of assets that unity ships with and covers what most people need to use. These include: 2D, Cameras, Characters, CrossPlatformInput, Effects, Environment, ParticleSystems, Prototyping, Utility and Vehicles. There’s not much for me to say about them right now, other than it may be good to grab some if they’re not already in your project and take a look at how they’re set up. :) 

Asset Packages & Unity Package Manager 

  Asset packages are collections of files and data from projects or elements of a project. It’s a bit like a zip file. When unpacked, it maintains its original directory structure and metadata of those assets. Some ways packages might be used is if you were importing editor tools and libraries, a graphics pipeline or a physics API. Maybe you just have a collection of texture assets or a project template to share with others.

I won’t cover exporting and importing packages, but it’s pretty straightforward! Just make sure you have ‘include dependencies’ when exporting so everything you need goes with it.

You can also download assets from the asset store! The download manager lets you see bough packages, and also the Standard Asset packages which you can add to your project.

The Packages window and Unity Package Manager (UPM) lets you install, update and remove packages as well as resolve conflicts. Go through here first! Try to avoid brute deleting packages just because you’re having an issue.

You can get to the Packages window through menu: Window > Package Manager.

Global Cache Your packages are stored on a per project basis and not per computer, using a global cache. It’s read-only. It’s worth noting that the user account running the Unity Editor must have full write permissions on the root directory and it’s contents. Without these permissions, the package manager cannot start and save package metadata.

Manifests Each package has something called a package manifest file. This is just a file containing all the necessary information about a package, such as the name, version and it’s dependencies.

Packages not recognised If you see a lot of compilation errors, this might indicate that Unity is not recognising the packages in your existing Project. In this case, you might be missing a .NET component. Here’s a fix. For Windows: Download and install Visual Studio 2017 version 15.9.0 or higher with the .NET Core cross-platform development workloadselected under Other Toolsets. Download and install the .NET SDK v2.2.101 component.

In regard to a 2D project, that’s probably all the asset format information you need. If your project is 3D, just know that Unity supports FBX file format and so any 3D software that allows you to export an FBX will be fine for Unity. In some programs (such as some versions of Maya), the FBX export may be a native plug-in that needs to be enabled.  That’s all for now! Tomorrow will be a very lengthy post about the editor, and an overview of working inside it! 

[verydoc]

VeryDOC PDF Compressor Command Line can compress and reduce the file size of PDF files using JPEG, JPEG2000 and JBIG2 compression algorithms

VeryDOC PDF Compressor Command Line can compress and reduce the file size of PDF files using JPEG, JPEG2000 and JBIG2 compression algorithms.

In today's digital world, managing large PDF files can be a challenge. Whether for storage, sharing, or transmission, oversized documents can slow down processes and consume valuable resources. Enter VeryDOC PDF Compressor Command Line -- a robust solution designed to compress Adobe Acrobat PDF files efficiently, reducing their size by an impressive 40-95% without compromising quality. This powerful tool leverages advanced compression technologies to optimize PDF structures, making it an ideal choice for anyone looking to streamline their document management.

Advanced Compression Technology for Optimized PDFs

VeryDOC PDF Compressor Command Line uses the latest in image compression technology, including the JBIG2 and JPEG2000 formats, to produce compact, web-friendly PDF files. The software significantly reduces the size of black and white images by 5-10 times compared to TIFF G4 formats and color images by 10-100 times compared to JPEG formats. Despite these reductions, the compressed PDFs retain their original quality and format, ensuring that they can still be viewed using standard software like Adobe Reader.

Key Features of VeryDOC PDF Compressor Command Line:

Extreme Document Compression: VeryDOC PDF Compressor Command Line excels in compressing color scanned PDFs to sizes comparable to black and white TIFF Group 4 images using JPEG2000 technology. This can result in a file size reduction of up to 100 times the original size, all while maintaining superior image quality and text legibility. Additionally, the JBIG2 compression format halves the size of black and white documents, providing faster access and reduced storage costs.

Long-Term Archival: The software supports ISO-compliant PDF/A output, ensuring that documents remain accessible and maintain their appearance for long-term archival purposes. This makes it an excellent tool for organizations that need to preserve the integrity of their digital documents over time.

Versatile Compression Options: Whether you need to compress a single PDF file or an entire folder of documents, VeryDOC PDF Compressor Command Line offers a scalable solution. With support for batch processing and command-line operation, users can efficiently compress multiple files or directories in one go. The software is compatible with all versions of Acrobat PDF files, including scanned documents and "born-digital" PDFs such as those converted from Microsoft Office.

Customizable Compression Presets: VeryDOC PDF Compressor Command Line provides five preset options to suit different needs:

Screen: Optimizes PDFs for screen-viewing with 72 dpi images.

eBook: Balances quality and size with 150 dpi images, ideal for eBooks.

Printer: Ensures high-quality printouts with 300 dpi images.

Prepress: Preserves color fidelity for high-quality prints at 300 dpi.

Default: A general-purpose setting similar to the "Screen" preset.

Security and Encryption: The software offers 128-bit encryption to protect your PDF files. Users can also create password-protected PDFs directly from the command line, ensuring that sensitive information remains secure.

Developer-Friendly Features: For developers, VeryDOC PDF Compressor Command Line offers a Developer Version (SDK), supporting multiple programming languages including C#, C++, Delphi, and VB.net. This allows for easy integration into custom applications, making it a flexible tool for various development environments.

Cost-Effective and License-Free: The software is available for a one-time fee, with no recurring costs or pay-per-page usage, making it a cost-effective solution for businesses and individuals alike. Additionally, the runtime royalty-free licensing options allow developers to include this technology in their applications without additional costs.

Why Choose VeryDOC PDF Compressor Command Line?

Efficiency: Compress large PDFs quickly and easily, reducing storage and transmission requirements by up to 100 times.

Quality Preservation: Maintain the visual integrity of your documents even after compression.

Versatility: Support for all types of PDF files and compatibility with various Windows platforms ensures that the software meets diverse needs.

Security: Protect sensitive information with robust encryption features.

Scalability: Handle batch compression and large-scale document management with ease.

Whether you're an individual looking to compress a few files or a developer seeking to integrate PDF compression into your applications, VeryDOC PDF Compressor Command Line offers a powerful, flexible, and reliable solution. Simplify your document management and enhance your workflow with this cutting-edge tool.

[fastcompression]

Web Resize on-the-fly: up to one thousand images per second on Tesla V100 GPU

Fastvideo company has been developing GPU-based image processing SDK since 2011, and we also got some outstanding results for software performance on NVIDIA GPU (mobile, laptop, desktop, server). We’ve implemented the first JPEG codec on CUDA, which is still the fastest solution on the market. Apart from JPEG, we’ve also released JPEG2000 codec on GPU and SDK with high performance image processing algorithms on CUDA. Our SDK offers just exceptional speed for many imaging applications, especially in situations when CPU-based solutions are unable to offer either sufficient performance or latency. Now we would like to introduce our Resize image on the fly solution.

JPEG Resize on-the-fly

In various imaging applications we have to do image resize and quite often we need to resize JPEG images. In such a case the task gets more complicated, as soon as we can't do resize directly, because images are compressed. Solution is not difficult, we just need to decompress the image, then do resize and encode it to get resized image. Nevertheless, we can face some difficulties if we assume that we need to resize many millions of images every day and here comes questions concerning performance optimization. Now we need not only to get it right, we have to do that very fast. And there is a good news that it can be done this way.

In the standard set of demo applications from Fastvideo SDK for NVIDIA GPUs there is a sample application for JPEG resize. It's supplied both in binaries and with source codes to let users integrate it easily into their software solutions. This is the software to solve the problem of fast resize (JPEG resize on-the-fly), which is essential for many high performance applications, including high load web services. That application can do JPEG resize very fast, and user can test the binary to check image quality and performance.

If we consider high load web application as an example, we can formulate the following task: we have big database of images in JPEG format, and we need to perform fast resize for these images with minimum latency. This is also a problem for big sites with responsive design: how to prepare set of images with optimal resolutions to minimize traffic and to do that as fast as possible?

At first we need to answer the question “Why JPEG?”. Modern internet services get most of such images from their users, which create them with mobile phones or cameras. For such a situation JPEG is a standard and reasonable choice. Other formats on mobile phones and cameras do exist, but they are not so widespread as JPEG. Many images are stored as WebP, but that format is still not so popular as JPEG. Moreover, encoding and decoding of WebP images are much slower in comparison with JPEG, and this is also very important.

Quite often, such high load web services utilize sets of multiple image copies of the same image with different resolutions to get low latency response. That approach leads to extra expenses on storage, especially for high performance applications, web services and big image databases. The idea to implement better solution is quite simple: we can try to store just one JPEG image at the database instead of image series and to transform it to desired resolution on the fly, which means very fast and with minimum latency.

How to prepare image database

We will store all images in the database at JPEG format, but this is not a good idea to utilize them “as is”. It’s important to prepare all images from the database for future fast decoding. That is the reason why we need to pre-process at off-line all images in the database to insert so called “JPEG restart markers” into each image. JPEG Standard allows such markers and most of JPEG decoders can easily process JPEG images with these markers without problem. Most of smart phones and cameras don’t produce JPEGs with restart markers, that’s why we can add these markers with our software. This is lossless procedure, so we don’t change image content, though file size will be slightly more after that.

To make full solution efficient, we can utilize some statistics about user device resolutions which are most frequent. As soon as users utilize their phones, laptops, PCs to see pictures, and quite often these pictures need just a part of the screen, then image resolutions should not too big and this is the ground to conclude that most of images from our database could have resolutions not more than 1K or 2K. We will consider both choices to evaluate latency and performance. In the case if we need bigger resolution at user device, we just can do resize with upscaling algorithm. Still, there is a possibility to choose bigger default image resolution for the database, general solution will be the same.

For practical purposes we consider JPEG compression with parameters which correspond to “visually lossless compression”. It means JPEG compression quality around 90% with subsampling 4:2:0 or 4:4:4. To evaluate time of JPEG resize, for testing we choose downscaling to 50% both for width and height. In real life we could utilize various scaling coefficients, but 50% could be considered as standard case for testing.

Algorithm description for JPEG Resize on-the-fly software

This is full image processing pipeline for fast JPEG resize that we've implemented in our software:

Copy JPEG images from database to system memory

Parse JPEG and check EXIF sections (orientation, color profile, etc.)

If we see color profile at JPEG image, we read it from file header and save it for future use

Copy JPEG image from CPU to GPU memory

JPEG decoding

Image resize according to Lanczos algorithm (50% downscaling as an example)

Sharp

JPEG encoding

Copy new image from GPU to system memory

Add previously saved color profile to the image header (to EXIF)

We could also implement the same solution with better precision. Before resize we could apply reverse gamma to all color components of the pixel, in order to perform resize in linear space. Then we will apply that gamma to all pixels right after sharp. Visual difference is not big, though it's noticeable, computational cost for such an algorithm modification is low, so it could be easily done. We just need to add reverse and forward gamma to image processing pipeline on GPU.

There is one more interesting approach to solve the same task of JPEG Resize. We can do JPEG decoding on multicore CPU with libjpeg-turbo software. Each image could be decoded in a separate CPU thread, though all the rest of image processing is done on GPU. If we have sufficient number of CPU cores, we could achieve high performance decoding on CPU, though the latency will degrade significantly. If the latency is not our priority, then that approach could be very fast as well, especially in the case when original image resolution is small.

General requirements for fast jpg resizer

The main idea is to avoid storing of several dozens copies of the same image with different resolutions. We can create necessary image with required resolution immediately, right after receiving external request. This is the way to reduce storage size, because we need to have just one original image instead of series of copies.

We have to accomplish JPEG resize task very quickly. That is the matter of service quality due to fast response to client’s requests.

Image quality of resized version should be high.

To ensure precise color reproduction, we need to save color profile from EXIF of original image.

Image file size should be as small as possible and image resolution should coincide with window size on the client’s device: а) If image size is not the same as window size, then client’s device (smart phone, tablet, laptop, PC) will apply hardware-based resize right after image decoding on the device. In OpenGL such a resize is always bilinear, which could create some artifacts or moire on the images with high-frequency detail. b) Screen resize consumes extra energy from the device. c) If we consider the situation with multiple image copies at different resolutions, then in most cases we will not be able to match exactly image resolution with window size, and that's why we will send more traffic than we could.

Full pipeline for web resize, step by step

We collect images from users in any format and resolution

At off-line mode with ImageMagick which supports various image formats, we transform original images to standard 24-bit BMP/PPM format, apply high quality resize with downscale to 1K or 2K, then do JPEG encoding which should include restart markers embedding. The last action could be done either with jpegtran utility on CPU or with Fastvideo JPEG Сodeс on GPU. Both of them can work with JPEG restart markers.

Finally, we create database of such 1K or 2K images to work with further.

After receiving user’s request, we get full info about required image and its resolution.

Find the required image from the database, copy it to system memory and notify resizing software that new image is ready for processing.

On GPU we do the following: decoding, resizing, sharpening, encoding. After that the software copies compressed image to system memory an adds color profile to EXIF. Now the image is ready to be sent to user.

We can run several threads or processes for JPEG Resize application on each GPU to ensure performance scaling. This is possible because GPU occupancy is not high, while working with 1K and 2K images. Usually 2-4 threads/processes are sufficient to get maximum performance at single GPU.

The whole system should be built on professional GPUs like NVIDIA Tesla P40 or V100. This is vitally important, as soon as NVIDIA GeForce GPU series is not intended to 24/7 operation with maximum performance during years. NVIDIA Quadro GPUs have multiple monitor outputs which are not necessary in the task of fast jpg resize. Requirements for GPU memory size are very low and that's why we don’t need GPUs with big size of GPU memory.

As additional optimization issue, we can also create a cache for most frequently processed images to get faster access for such images.

Software parameters for JPEG Resize

Width and height of the resized image could be arbitrary and they are defined with one pixel precision. It's a good idea to preserve original aspect ratio of the image, though the software can also work with any width and height.

We utilize JPEG subsampling modes 4:2:0 and 4:4:4.

Maximum image quality we can get with 4:4:4, though minimum file size corresponds to 4:2:0 mode. We can do subsampling because human visual system better recognizes luma image component, rather than chroma.

JPEG image quality and subsampling for all images the database.

We do sharpening with 3×3 window and we can control sigma (radius).

We need to specify JPEG quality and subsampling mode for output image as well. It’s not necessary that these parameters should be the same as for input image. Usually JPEG quality 90% is considered to be visually lossless and it means that user can’t see compression artifacts at standard viewing conditions. In general case, one can try JPEG image quality up to 93-95%, but then we will have bigger file sizes both for input and output images.

Important limitations for Web Resizer

We can get very fast JPEG decoding on GPU only in the case if we have built-in restart markers in all our images. Without these restart markers one can’t make JPEG decoding parallel algorithm and we will not be able finally to get high performance at the decoding stage. That’s why we need to prepare the database with images which have sufficient number of restart markers.

At the moment, as we believe, JPEG compression algorithm is the best choice for such a task because performance of JPEG Codec on GPU is much faster in comparison with any competitive formats/codecs for image compression and decompression: WebP, PNG, TIFF, JPEG2000, etc. This is not just the matter of format choice, that is the matter of available high-performance codecs for these image formats.

Standard image resolution for prepared database could be 1K, 2K, 4K or anything else. Our solution will work with any image size, but total performance could be different.

Performance measurements for resize of 1K and 2K jpg images

We’ve done testing on NVIDIA Tesla V100 (OS Windows Server 2016, 64-bit, driver 24.21.13.9826) on 24-bit images 1k_wild.ppm and 2k_wild.ppm with resolutions 1K and 2K (1280×720 and 1920×1080). Tests were done with different number of threads, running at the same GPU. To process 2K images we need around 110 MB of GPU memory per one thread, for four threads we need up to 440 MB.

At the beginning we've encoded test images to JPEG with quality 90% and subsampling 4:2:0 or 4:4:4. Then we ran test application, did decoding, resizing, sharpening and encoding with the same quality and subsampling. Input JPEG images resided at system memory, we copied the processed image from GPU to the system memory as well. We measured timing for that procedure.

Command line example to process 1K image: PhotoHostingSample.exe -i 1k_wild.90.444.jpg -o 1k_wild.640.jpg -outputWidth 640 -q 90 -s 444 -sharp_after 0.95 -repeat 200

Performance for 1K images

N | Quality | Subsampling | Resize | Threads | FPS

1 | 90% | 4:4:4 / 4:2:0 | 2 times | 1 | 868 / 682

2 | 90% | 4:4:4 / 4:2:0 | 2 times | 2 | 1039 / 790

3 | 90% | 4:4:4 / 4:2:0 | 2 times | 3 | 993 / 831

4 | 90% | 4:4:4 / 4:2:0 | 2 times | 4 | 1003 / 740

Performance for 2K images

N | Quality | Subsampling | Resize | Threads | FPS

1 | 90% | 4:4:4 / 4:2:0 | 2 times | 1 | 732 / 643

2 | 90% | 4:4:4 / 4:2:0 | 2 times | 2 | 913 / 762

3 | 90% | 4:4:4 / 4:2:0 | 2 times | 3 | 891 / 742

4 | 90% | 4:4:4 / 4:2:0 | 2 times | 4 | 923 / 763

JPEG subsampling 4:2:0 for input image leads to slower performance, but image sizes for input and output images are less in that case. For subsampling 4:4:4 we get better performance, though image sizes are bigger. Total performance is mostly limited by JPEG decoder module and this is the key algorithm to improve to get faster solution in the future.

Resume

From the above tests we see that on just one NVIDIA Tesla V100 GPU, resize performance could reach 1000 fps for 1K images and 900 fps for 2K images at specified test parameters for JPEG Resize. To get maximum speed, we need to run 2-4 threads on the same GPU.

Latency around just one millisecond is very good result. To the best of our knowledge, one can’t get such a latency on CPU for that task and this is one more important vote for GPU-based resize of JPEG images at high performance professional solutions.

To process one billion of JPEG images with 1K or 2K resolutions per day, we need up to 16 NVIDIA Tesla V100 GPUs for JPEG Resize on-the-fly task. Some of our customers have already implemented that solution at their facilities, the others are currently testing that software.

Please note that GPU-based resize could be very useful not only for high load web services. There are much more high performance imaging applications where fast resize could be really important. For example, it could be utilized at the final stage of almost any image processing pipeline before image output to monitor. That software can work with any NVIDIA GPU: mobile, laptop, desktop, server.

Benefits of GPU-based JPEG Resizer

Reduced storage size

Less infrastructure costs on initial hardware and software purchasing

Better quality of service due to low latency response

High image quality for resized images

Min traffic

Less power consumption on client devices

Fast time-to-market software development on Linux and Windows

Outstanding reliability and speed of heavily-tested resize software

We don't need to store multiple image resolutions, so we don't have additional load to file system

Fully scalable solution which is applicable both to a big project and to a single device

Better ROI due to GPU usage and faster workflow

To whom it may concern

Fast resize of JPEG images is definitely the issue for high load web services, big online stores, social networks, online photo management and sharing applications, e-commerce services and enterprise-level software. Fast resize can offer better results at less time and less cost.

Software developers could benefit from GPU-based library with latency in the range of several milliseconds to resize jpg images on GPU.

That solution could also be a rival to NVIDIA DALI project for fast jpg loading at training stage of Machine Learning or Deep Learning frameworks. We can offer super high performance for JPEG decoding together with resize and other image augmentation features on GPU to make that solution useful for fast data loading at CNN training. Please contact us concerning that matter if you are interested.

Roadmap for jpg resize algorithm

Apart from JPEG codec, resize and sharp we can also add crop, color correction, gamma, brightness, contrast, rotations to 90/180/270 degrees - these modules are ready.

Advanced file format support (JP2, TIFF, CR2, DNG, etc.)

Parameter optimizations for NVIDIA Tesla P40 or V100.

Further JPEG Decoder performance optimization.

Implementation of batch mode for image decoding on GPU.

Useful links

Full list of features from Fastvideo Image Processing SDK

Benchmarks for image processing algorithms from Fastvideo SDK

Update

The latest version of the software offers 1400 fps performance on Tesla V100 for 1K images at the same testing conditions.

Original article see here: https://www.fastcompression.com/blog/web-resize-on-the-fly-one-thousand-images-per-second-on-tesla-v100-gpu.htm

[veryutils]

VeryPDF .NET PDF Editor SDK for Developers Royalty Free

VeryPDF .NET PDF Editor SDK for Developers Royalty Free. Get royalty-free access to a comprehensive PDF toolkit with VeryPDF.NET PDF Editor SDK for Developers. Ideal for .NET applications (C# and VB.NET) and non-managed programs written in Visual Basic 6, Delphi, Microsoft Access, Windev, PHP, Python, Java, JavaScript and more. Experience fast and seamless performance on large documents with the intuitive API that also supports full Unicode. Enjoy a range of valuable features including PDF/A generation, conversion to PDF/A, digital signature support, merging and splitting of PDFs, modification, rasterization, redaction, creation of interactive form fields, PDF layers, and more.

Test VeryPDF PDF Editor Web application from following URL,

VeryPDF PDF Editor OCX Control,

VeryPDF PDF Viewer OCX Control (ActiveX),

Online Document Annotator (Annotate Documents Online),

VeryPDF .NET PDF Editor SDK Main features:

Read, Edit, Create or Write PDF documents from file or stream

Convert PDF to PDF/A format with ease

Control the printing process with full support for incremental saving to preserve document history

Fast linearized PDF saving (also known as "Fast Web View")

Interactive PDF features: Actions, document-level navigation and more

Link files with support for file linking

Repair corrupted documents with ease

Pack and compress existing documents to reduce file size by reusing resources

Handle large documents with ease, delivering speed and performance

Achieve 100% compliant and smaller PDF documents through strong objects serialization

Fast text extraction engine available on whole page or ROI

Add, extract and manage fonts in your PDF documents

Add, extract, replace, optimize, or remove bitmaps

Write text with font embedding and full Unicode support

Draw barcodes with ease

Flatten PDF form fields and annotations

Create and edit form fields in your PDF documents

Edit PDF annotations with ease

Full support for PDF transparency schemes for rendering and PDF creation

Graphics state stack and transformation matrix support

Read and write bookmarks

Support for Optional Content Groups (PDF Layers)

Full action support for PDF documents

Manage file attachments with ease

Support for page labelling

Draw pages from a PDF to a page of another PDF

Clone and duplicate pages with ease

Encrypt or secure PDF documents with support for all encryption schemes, from RC4 48 bits to AES 256 bits

Rasterize PDF pages to bitmap with high fidelity rendering and speed

DigiSign documents with support for Adobe PPKMS and Adobe PPKLite modes

Redact sensitive information from PDF documents

Merge, split, swap, delete, append, and rotate pages

Full interaction with PDFViewer and ThumbnailEx controls

Edit PDF documents and display updated version in real-time with a viewer

Low-level API to manipulate paths

AnyCPU, available in 32-bit & 64-bit versions

Supports multi-threaded applications

PDF 2.0 support for reading and writing

Generate PDF/Universal Accessibility (PDF/UA) for improved accessibility

And more…

VeryPDF.NET is a comprehensive SDK for software development, offering over 300 features for PDF, OCR, barcode, document imaging, and various formats.

This robust set of APIs is trusted by developers worldwide across various industries, with thousands of users.

[serenatechie]

Messaging API for web and mobile - How to improve user experience

A badly designed website always gives the visitors of your website a very poor experience. Messaging API for web and mobile helps you in designing your customized application with all the features to improve user experience. The key to a successful website is addressing the potential needs of your customers and answering their queries right away. 

UX design plays a vital role in meeting the expectations of the users and keeps them engaged. There are some ways you can improve your user experience. Let's see in detail. 

Use white space - A good website always consists a white space.  Content’s readability and attractiveness can be enhanced by the website’s white space. 

Increase page speed - Nowadays, website visitors expect a fast and seamless experience. Hence it is important to reduce the load time such as compressed images before uploading it into the website. 

Keep it short and simple - The users must find the content quickly that they need from a website. Make sure that the layout and the colour scheme is simple and clean. 

Mobile-friendly website - The website should be more mobile-friendly as all the web traffic nowadays comes from mobile devices. Optimizing your website for mobile also improves the SEO.

Looking to develop a mobile app for your business?  Here Innoinstant offers you exclusive features to develop voice, video call and chat applications with their powerful APIs and SDKs. Take a look and decide whatever is needed for your business and develop an engaging mobile application for your enterprise.