DXcharts
In just a matter of days, you can seamlessly incorporate and personalize a high-speed financial table into your product. You have the flexibility to modify existing features or design an entirely new interface from scratch. Interested in more options? We provide a comprehensive access alternative that includes data feeds for futures, indices, equities, FX, and cryptocurrencies by default. Don't hesitate—sign up today to receive your data feeds. DXcharts is designed to integrate effortlessly with any market data source, making it data feed-agnostic. It supports native libraries across all platforms, including web, mobile, and desktop applications. Secure a solution that is specifically customized to meet the needs of your product. By analyzing trading statistics, you can assess securities and forecast their future price movements. Additionally, you can develop custom studies using the user-friendly dxScript, allowing you to arrange chart layouts to your preference while syncing them by instrument, chart type, timeframe, range, studies, and visual style. With such versatility, your financial analysis will be more efficient and tailored than ever before.
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Insightful
Insightful helps businesses take a smarter approach to managing teams. The platform gives a clear view of everyday activities, turning them into valuable insights. The data support stronger performance and better results.
Built for clarity and action, Insightful tracks how time is spent across teams and roles. It shows patterns, highlights areas for improvement, and helps you respond with real solutions.
The platform includes tools for time and activity tracking, reporting, visual dashboards, and data analysis. The features give HR teams, recruiters, and company leaders a real-time picture of what’s working—and what needs attention.
Whether your team works in the office, from home, or both, Insightful gives you the visibility to lead with confidence. With the right data, your team stays aligned, motivated, and ready to perform at its best.
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Meshroom
The procedure for creating a detailed textured mesh from still images using Meshroom is explained, with Meshroom functioning as a 3D reconstruction tool that operates on the open-source Photogrammetric Computer Vision Framework called AliceVision. To increase the effectiveness of SIFT feature extraction in challenging images, alterations to the default configurations are implemented, which includes the addition of new filters and the application of a DSP-SIFT variation. In addition, a novel post-processing method enhances mesh quality by filtering the status of cells—designating them as either empty or full—based on solid angle ratios, resulting in a more refined appearance. Users operating on specific systems, particularly Ubuntu, may face compatibility challenges between native drivers and Mesa drivers, which could lead to a display issue characterized by an empty black screen. It is crucial to note that AliceVision prioritizes user privacy by refraining from collecting or sharing any personal or system-related information without prior consent. Furthermore, this website employs Google Analytics to gather session data on page views, using this information solely to understand user engagement with the website and the broader AliceVision project, thereby enhancing user experience. This dual commitment to functionality and privacy underscores the importance placed on user satisfaction and the reliability of the software while promoting continuous improvements in the platform. Overall, these measures exemplify the dedication to creating a seamless and trustworthy experience for all users.
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AliceVision
We create a detailed software solution focused on 3D reconstruction, photomodeling, and camera tracking. Our goal is to build a solid software base that leverages the latest computer vision algorithms, enabling thorough testing, analysis, and repurposing. Partnerships between academic institutions and the industry are crucial to delivering sophisticated algorithms that uphold the necessary robustness and quality throughout the visual effects and filmmaking stages. The field of photogrammetry, which is concerned with obtaining measurements from photographs, reconstructs the spatial layout of a scene using a series of disorganized images or videos. While conventional photography captures a three-dimensional environment and flattens it onto a two-dimensional plane, resulting in diminished depth perception, photogrammetry aims to recover this lost depth information. By combining two prominent computer vision techniques—“Structure-from-Motion” (SfM) and “Multi View Stereo” (MVS)—we achieve a comprehensive representation of the scene, as these methods collaborate to form a unified model. This sophisticated process not only improves the precision of reconstructions but also plays a vital role in driving innovation across various visual media applications, ultimately pushing the boundaries of what is possible in digital imagery.
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