Context and motivation

Deep learning and computer vision have emerged as powerful technologies revolutionizing various industries, from healthcare to autonomous vehicles. LabVIEW, a widely used platform for engineering and scientific applications, now has an exciting opportunity to harness the potential of these technologies. Graphic 365 has developed the HAIBAL and TIGR Toolkits specifically tailored for LabVIEW, bringing cutting-edge capabilities to the LabVIEW community.

By joining our Beta Testing Program, you become part of a select group of individuals who will shape the future of deep learning and computer vision in LabVIEW. As a beta tester, you will have the exclusive opportunity to explore and provide valuable feedback on the HAIBAL and TIGR Toolkits. Your insights and suggestions will directly influence the development process, ensuring that the toolkits meet the needs and expectations of LabVIEW users. Be at the forefront of innovation, contribute to groundbreaking advancements, and make a lasting impact on the LabVIEW ecosystem.

Characteristics of the beta test license

• Limited Duration: The beta test license is valid for the duration of the beta testing period, as specified by Graphic 365. It grants temporary access to the HAIBAL and TIGR Toolkits for evaluation and testing purposes only.
• Non-Transferable: The beta test license is non-transferable, meaning it cannot be shared, sold, or assigned to another individual or organization. It is exclusively for the registered beta tester’s use.
• Confidentiality: Beta testers are required to maintain strict confidentiality regarding the toolkits and any associated documentation provided during the testing period. This includes not disclosing any proprietary or sensitive information to third parties without explicit permission from Graphic 365.
• Feedback Obligation: Beta testers are expected to actively engage in the testing process and provide detailed feedback to Graphic 365. This may include reporting any bugs, issues, or suggestions for improvement, as well as sharing their overall experience using the toolkits.
• No Warranty: The beta test license is provided on an “as-is” basis, without any warranty or guarantee of performance, reliability, or fitness for a particular purpose. Beta testers understand and accept the inherent risks and potential limitations associated with beta software.
• Usage Restrictions: The beta test license strictly prohibits the use of the toolkits for any commercial purposes, production deployments, or public distribution. The toolkits are intended for evaluation and testing purposes only during the beta testing phase.
• Termination: Graphic 365 reserves the right to terminate the beta test license at any time, without prior notice, if a beta tester violates the terms and conditions of the license agreement or engages in any unauthorized activities.

What are the conditions to apply for a beta test license ?

• Expertise and Interest: Applicants should possess a strong background or interest in deep learning, computer vision, and LabVIEW. Knowledge and experience in related fields will be advantageous.
• Availability: Applicants should be able to commit to actively participate in the beta testing program during the specified testing period. This includes dedicating sufficient time to thoroughly explore the toolkits and provide valuable feedback.
• Communication Skills: Strong communication skills are essential for effective beta testing. Applicants should be able to articulate their observations, report issues accurately, and provide constructive feedback in a clear and concise manner.
• Non-Disclosure Agreement: Prior to receiving the beta test license, applicants may be required to sign a non-disclosure agreement (NDA) to ensure the confidentiality of the toolkits and related information.

  To apply for the beta test license, interested individuals can reach out to us via email at beta-test@graiphic.io. Please include relevant information about your background, experience, and motivation for participating in the beta testing program.

  We look forward to receiving your application and working together to shape the future of deep learning and computer vision in LabVIEW!

How to benefit this program ?

1. Visit our dedicated website or reach out to us via email at beta-test@graiphic.io to express your interest in participating in the Beta Testing Program.
2. Provide relevant information about your background, experience, and motivation for joining the program. This will help us assess your suitability as a beta tester.
3. If selected, you will receive a beta test license, granting you access to the HAIBAL and TIGR Toolkits for LabVIEW during the specified testing period.
4. Install and explore the toolkits, utilizing their deep learning and computer vision capabilities within the LabVIEW environment.
5. Engage actively in testing, identifying any bugs, issues, or areas for improvement. Provide detailed feedback and suggestions to our team.
6. Collaborate with other beta testers, sharing insights, experiences, and best practices.
7. As a beta tester, you play a crucial role in influencing the development and refinement of the toolkits. Your feedback will contribute to enhancing their performance, usability, and overall quality.
8. Throughout the testing period, stay in touch with our support team for any technical assistance or questions you may have.
9. By actively participating and providing valuable feedback, you may be eligible for special incentives or discounts on the final release of the toolkits.

Licensing decision

The licensing decision for the final release of the HAIBAL and TIGR Toolkits will be determined by Graphic 365 based on various factors, including the feedback and input received from the beta testers during the testing period. While we cannot provide specific details about the licensing model at this stage, we assure you that we are committed to finding a licensing approach that is fair, flexible, and aligns with the needs and expectations of our users.

We understand the importance of offering licensing options that accommodate different use cases, whether it be for individual researchers, academic institutions, or commercial entities. Our goal is to provide a licensing structure that enables users to leverage the full potential of the toolkits while ensuring their continued development and support.

Stay tuned for updates as we approach the final release, where we will provide more information on the licensing details and options available. We appreciate your interest in the HAIBAL and TIGR Toolkits and look forward to sharing further licensing information in the near future.