AI Game Data Extraction Tool

@ZohaibRoy

⭐⭐⭐⭐⭐ Create a Utility for Frame Capture from PC Game Engine ❇️ Hi My Friend, I hope you are doing well. I reviewed your project needs and see you are looking for a game utility to capture frame data. You don't need to look any further; Zohaib is here to help you! My team has successfully completed 50+ similar projects for game data capture. I will create a utility that hooks into your game engine, capturing the camera matrix, depth buffer, and RGB back-buffer efficiently. I will ensure the data is saved in a clean CSV format for your AI training. ➡️ Why Me? I can easily create your utility as I have 5 years of experience in game development and data logging. My expertise includes graphics programming, API interception, and data management. Not only this, but I also have a strong grip on tools like RenderDoc and NVIDIA Nsight, ensuring a reliable and high-performance solution. ➡️ Let's have a quick chat to discuss your project in detail and let me show you samples of my previous work. Looking forward to discussing this with you in chat. ➡️ Skills & Experience: ✅ Graphics Programming ✅ API Interception ✅ Data Logging ✅ DLL Injection ✅ CSV Data Management ✅ Game Development ✅ Reverse Engineering ✅ Performance Optimization ✅ Windows Executable Creation ✅ Debugging ✅ Scripting ✅ User Configuration Waiting for your response! Best Regards, Zohaib

@irsolutions

With over a decade of experience in web and mobile development, I understand the complexity of your request for an AI Game Data Extraction Tool. Capturing the full view-projection camera matrix, depth buffer, and RGB back-buffer per frame in a precise and efficient manner requires expertise and attention to detail. In the realm of computer-vision projects, I have successfully delivered tailored solutions that meet the unique needs of clients. My track record in graphics hooking and data logging ensures that I can tackle this project with precision and accuracy. I am confident in my ability to develop a reliable utility that meets your specifications, providing you with a compiled Windows executable or DLL, well-commented source code, example captures, and a comprehensive README within the specified timeframe. If you are ready to move forward with this project, please feel free to reach out to me. I am excited about the opportunity to work together and deliver exceptional results for your AI training pipeline. Thank you for considering my proposal.

@InterconnectBPO

Hi, We can build a reliable, high-accuracy capture utility that hooks into your custom engine at runtime and records exactly the data you need for downstream AI training. The tool will capture, per frame: Full 4×4 view projection camera matrix Linearized depth buffer Raw, uncompressed RGB back buffer Approach Detect and hook the active graphics API (DX11/DX12) using symbols and runtime inspection Intercept the swap chain / command queue at present time Use asynchronous GPU readbacks and buffered disk writes to avoid stalling the render loop Output & configuration Clean, deterministic CSV schema with explicitly documented field order Resolution, frame interval, and output folder configurable via .ini or CLI flags Stable long-run capture (100+ consecutive frames) without drift or corruption Tools & delivery Experience with RenderDoc, Nsight, Detours, and custom DLL injection Well commented, maintainable source code Delivery within 30 days: Compiled Windows binary or DLL + injection method Full source code Example capture (100+ frames) Short README with build steps and exact CSV layout I’m confident the output will match your internal camera overlays and allow accurate depth reconstruction. Happy to align on engine or API details before starting. Warm Regards, Jean-Pierre Full Stack Web Developer

@reedsystems

Hi, I'm excited to bid on your project! I have a decade of experience in developing custom solutions, particularly with graphics hooking and data logging for computer-vision projects. For this utility, I will implement the necessary logic using tools like RenderDoc and Detours for reliable frame-by-frame dumps. The compiled Windows executable or DLL, along with an injection script, will be delivered within one month. The well-commented source code will include user-configurable resolution, frame interval, and output folder settings via flags or an .ini file. I'll ensure the data is written to disk in a clean CSV schema for direct AI training pipeline integration. An example capture of at least 100 consecutive frames will also be provided, along with a README covering build steps, command-line usage, and field order details. Accuracy is crucial, so I’ll validate the camera matrices against your internal debug overlay and perform depth reconstruction checks. Let's get this project off the ground! Best, Reed

@itswahabahmad

With a sophisticated palette of skills in C# programming, game development, and software architecture honed over six years, I believe I'm the perfect fit for your AI Game Data Extraction Tool project. Having worked extensively on Unity and Unreal Engine, I am well-versed with the graphics hooking, frame capturing, and data logging tasks essential to your project's success. What sets me apart as an ideal freelancer is my robust knowledge of AWS DevOps, which will enable me to ensure not just accurate and well-documented CSV captures but also seamless interaction with your AI training pipeline. This is crucial to maintaining performance levels while collecting essential data. Additionally, my VR/AR expertise guarantees that I'll bring a unique perspective that adds value and ingenuity to this endeavor. My track record speaks volumes about my reliability and knack for innovation in crafting immersive gaming experiences. Leveraging the power of cutting-edge technology and staying updated on trends is what I do best. Let's collaborate to build an efficient tool that meets all your project's requirements while also standing the test of time across different DirectX versions. Your vision combined with my skills – let's take the plunge!

@toriquldev123

Hello Dear! I write to introduce myself. I'm Engineer Toriqul Islam. I was born and grew up in Bangladesh. I speak and write in English like native people. I am a B.S.C. Engineer of Computer Science & Engineering. I completed my graduation from Rajshahi University of Engineering & Technology ( RUET). I love to work on Web Design & Development project. Web Design & development: I am a full-stack web developer with more than 10 years of experience. My design Approach is Always Modern and simple, which attracts people towards it. I have built websites for a wide variety of industries. I have worked with a lot of companies and built astonishing websites. All Clients have good reviews about me. Client Satisfaction is my first Priority. Technologies We Use: Custom Websites Development Using ======>Full Stack Development. 1. HTML5 2. CSS3 3. Bootstrap4 4. jQuery 5. JavaScript 6. Angular JS 7. React JS 8. Node JS 9. WordPress 10. PHP 11. Ruby on Rails 12. MYSQL 13. Laravel 14. .Net 15. CodeIgniter 16. React Native 17. SQL / MySQL 18. Mobile app development 19. Python 20. MongoDB What you'll get? • Fully Responsive Website on All Devices • Reusable Components • Quick response • Clean, tested and documented code • Completely met deadlines and requirements • Clear communication You are cordially welcome to discuss your project. Thank You! Best Regards, Toriqul Islam

@Alesha1018

Hey there, I'm Alesha, and I believe I'm the perfect freelancer for your AI Game Data Extraction Tool project! With a strong background in game development and software architecture, reverse-engineering is second nature to me. I've worked extensively with graphics hooking, frame capture, and data logging for computer-vision projects - precisely what you need here. Being adaptable and detail-oriented, my approach is not one-size-fits-all. I’ll leverage the most suitable tools (like RenderDoc, NVIDIA Nsight) and my own custom methods to ensure your frames' dumps are reliable without affecting performance. But it's not only about capturing the data; it's how that data gets processed downstream that matters. With my extensive experience in AI integration and data engineering, I'll build your utility to deliver-files in a clean, well-documented CSV schema that perfectly aligns with your AI training pipeline requirements. From configurable user options to maintaining compatibility across DirectX versions, I'll make sure the utility seamlessly integrates with your existing systems.

@KarthikTechCon

Hello, I’m Karthik, a developer with 15+ years of experience in C++, graphics pipelines, reverse engineering, and data extraction tools for AI/vision workflows. I can build a reliable runtime capture utility that hooks into your custom-engine game and exports frame data for ML training. Approach: • Implement DLL injection / API hooking using tools like Detours / RenderDoc / DirectX interception • Capture per-frame 4×4 view-projection matrix, linear depth buffer, and RGB back-buffer • Export structured data to clean CSV + image buffers optimized for AI pipelines • Provide configurable settings (.ini / CLI flags) for resolution, frame interval, and output path • Ensure minimal performance overhead with efficient memory capture and disk writes • Maintain compatibility across DirectX versions (DX11/DX12) Deliverables: • Windows DLL/EXE + injection script • Well-commented source code • Sample capture of 100+ frames • Clear README with build steps and CSV schema Timeline: ~3–4 weeks including testing and validation against camera/depth accuracy. I’ve built similar graphics interception and data logging tools for computer-vision datasets and ML pipelines. Happy to discuss your engine details and start immediately. Best regards, Karthik C++ / Graphics / AI Tools Developer | 15+ Years Experience

@ianb65

Hello, there! I can develop a reliable runtime utility that captures the view-projection camera matrix, linear depth buffer, and raw RGB back-buffer per frame from your game and exports the data in a clean CSV format ready for AI training. I have over 7 years of experience building high-performance systems and working with low-level integrations, including C++ services, graphics pipelines, and performance-sensitive data processing. For this project, I would implement a DLL injection approach with graphics API interception to capture frame data with minimal performance impact. Using tools such as Detours or MinHook alongside DirectX interception, I can extract the required buffers, linearize the depth data, and serialize the matrices and pixel data into a structured, well-documented CSV schema. Configuration options like resolution, frame interval, and output directory will be available via CLI flags or an .ini file for flexibility. You will receive fully commented source code, a compiled executable/DLL with injection script, an example capture of 100+ frames, and a concise README explaining build steps, configuration, and CSV field structure. Best regards, Ian Brown

@ail5a9f298b597ed

I am well-versed in creating utilities that involve graphics hooking, frame capture, and data logging, making me a strong fit for your AI Game Data Extraction Tool project. I have extensive experience with DirectX, DLL injection, and performance-optimized data capture methods, ensuring the solution will be both efficient and accurate. I prioritize delivering clean code, thorough documentation, and meeting your specific requirements to ensure the tool integrates seamlessly with your AI training pipeline. Your project will benefit from my reliability and attention to detail.

@mughiraaa

Hello, I have reviewed the details of your project. i will create a windows dll injector written in c++ that hooks into the game process at runtime using microsoft detours and directx api interception depending on whether the engine uses directx 11 or 12. once injected, the hook will intercept the present or draw call to capture the 4x4 view projection matrix directly from constant buffers, read the depth buffer resource, and copy the rgb back buffer before it is swapped. depth values will be converted to linear space using the captured projection parameters to guarantee reconstruction accuracy. all per frame data will be written to disk using a structured csv schema with fixed column order and documented headers, while image buffers will be serialized in raw rgb rows referenced in the same dataset. configuration flags for resolution override, frame interval, and output directory will be parsed from an ini file or command line arguments. performance impact will be minimized through asynchronous disk writes and double buffering in memory. Let's have a detailed discussion, as it will help me give you a complete plan, including a timeline and estimated budget. I will share my portfolio in chat I look forward to hear from you. Thanks Best Regards, Mughira

@SkillCrafts

Having developed several real-time data collectors for titles using non-standard engines, I understand the nuances of hooking into a process without triggering stability issues or performance bottlenecks. I recently completed a similar extraction tool for a custom Direct3D-based simulation where we successfully mapped dynamic memory offsets to a structured JSON output in real-time. My background in reverse engineering allows me to quickly identify the necessary data structures within a proprietary environment, ensuring that the extraction process is both efficient and non-intrusive to the game’s core performance and thread safety. To ensure reliable extraction from your custom engine, I will first utilize signature scanning and pointer discovery to identify stable memory addresses that persist across game sessions and version updates. I plan to implement the utility using C++ with a lightweight DLL injection method, leveraging frameworks like MinHook or EasyHook to intercept engine-specific functions responsible for game state updates. This approach allows for the capture of high-fidelity telemetry—such as coordinate data, object properties, or internal event triggers—which I will then stream through a fast inter-process communication (IPC) channel or a named pipe for external AI processing. If the data is purely visual, I can integrate a frame-buffer capture system that synchronizes raw pixel data with the relevant metadata to create a comprehensive, labeled dataset for your machine learning model. To better tailor the tool, are you prioritizing structured telemetry like coordinates and health, or are you primarily focused on raw visual frames for computer vision training? Additionally, does the engine use any specific protection layers or obfuscation that might require specialized bypass techniques for memory access or function hooking? I would be happy to discuss the engine's architecture in more detail and can jump on a quick call this afternoon to align on the technical requirements and your preferred output format to ensure the data is immediately usable for your AI workflow.

@Dimitarg1

Hey ? This is a fun (and very precise) capture task — basically “make the renderer talk” frame-by-frame without turning performance into a slideshow. I can build a Windows capture utility (DLL + injector or standalone hook) that, at runtime, dumps per frame: • 4×4 view-projection matrix • linear depth buffer • raw uncompressed RGB back-buffer …with config via flags or .ini, and a strict, documented schema for your AI pipeline. Plan (high level): Identify the graphics path (DX11/DX12/Vulkan/OpenGL) using symbols + lightweight tracing. Hook the present/copy path and capture buffers reliably. Reconstruct linear depth correctly (confirm near/far & projection conventions). Write to disk with deterministic ordering + an example capture (100+ frames). Ship clean README + build steps + exact field order. One note: full RGB + depth as CSV can get massive fast. If you truly need CSV, I’ll implement a clean per-frame CSV schema (or CSV index + per-frame payload files) so it stays usable. Quick questions to lock scope: Which APIs might the build use (DX11/DX12)? Any anti-cheat/obfuscation? Exact depth format expected (float16/float32) and near/far values available? Do you want one CSV per frame, or a single stream with frame delimiters? If you have authorized access to the build (sounds like you do), I can start immediately and keep it accurate enough to match your overlay validation.

@craigd43

With a solid command of C and C# programming languages, I'm no stranger to diving deep into the internal working of applications- importantly in time optimized ways. Game data extraction, reverse engineering and hooking are realms in which I have considerable expertise, given my hands-on experience with varied projects that involved frame-by-frame logging across different DirectX versions, similar to what you require here. Alongside, I've also delved into creating well-documented CSV schemas and automating data manipulation processes with my understanding of efficient algorithms. Lastly, it would be remiss not to emphasize my meticulous nature when it comes to testing—a trait that's paramount in guaranteeing accuracy for your purpose. The fact that you'll be utilizing my output to validate crucial aspects is all the more reason why you need an individual who values precision as much as you do. With me on board, you can rest assured your AI training pipeline will receive impeccably structured and validated vibrant gaming insights

@jovand30

你好, I can deliver a robust, low-overhead frame capture utility tailored to your engine build. I’ve worked with DirectX interception, GPU debugging, and structured data extraction for CV/AI pipelines, including swap-chain hooks and depth reconstruction validation. With symbols provided, I’ll reliably extract the 4×4 view-projection matrix and intercept the render path to dump linear depth + raw RGB per frame. **Planned approach** * Hook at the graphics API layer (DX11/DX12) via Detours or a lightweight custom injector * Intercept `Present` / command queue execution to ensure frame-accurate capture * Extract back buffer via staging textures (no compression) * Capture depth buffer and convert to verified linear space * Resolve camera matrix via symbol lookup or constant-buffer interception * Async disk writer to avoid GPU stalls * Config via CLI flags + optional `.ini` (resolution, frame interval, output path) **Compatibility** * Abstracted hook layer for DX11 and DX12 * Handles swap-chain recreation safely * Tested with at least 100 consecutive frames as required **Deliverables** ✔ Compiled DLL + injector ✔ Clean, well-commented source ✔ Sample 100-frame capture ✔ README with CSV schema + field order If useful, I can also include an optional binary dump mode (faster than CSV) alongside the documented CSV format. Looking forward to working with you. Best regards, Jovan D

@johnedwardl

Hi, I’ll develop a utility that captures the 4x4 view-projection matrix, depth buffer, and raw RGB back-buffer from your game at runtime. With extensive experience in graphics hooking and frame capture, I’ll ensure reliable, high-performance data logging directly to a well-structured CSV format. I’ll leverage tools like RenderDoc and NVIDIA Nsight, or implement a custom DLL injection method, to achieve this without impacting your game’s performance. I’ll ensure the output is user-configurable through an .ini file, allowing you to easily adjust resolution, frame interval, and output folder. The deliverables will include the compiled executable or DLL, well-commented source code, and a comprehensive README with clear instructions. Accuracy will be my priority, allowing you to seamlessly integrate the captured data into your AI training pipeline. Could you share any specific libraries you prefer or any particular requirements for compatibility with DirectX versions? I'm ready to start immediately to meet your one-month deadline. Thank you.

@AnjosGustavo

Hello, I’ve already delivered similar graphics-hooking and frame-capture tools for research pipelines, extracting camera matrices, depth buffers and raw back-buffers for ML training without corrupting runtime rendering. The main challenge is reliably intercepting the GPU pipeline across driver/DirectX versions while preserving linear-depth and exact matrix semantics. I’ll solve this by a lightweight DLL injector + API hook (DX11/DX12/GL fallback), using Detours or custom trampolines, capture per-frame VP matrix, linearized depth and uncompressed RGB, and stream them to disk using a documented CSV schema. Resolution, interval and output path will be configurable via flags/.ini. Deliverables include a compiled DLL/exe+injector, commented source, a 100-frame example and README. Looking forward to working with you. Best regards, Gustavo.

@mayankinnovative

Hi, As per my understanding: You need a runtime utility that hooks into a PC game using a custom engine and captures three frame-level elements: the 4×4 view-projection camera matrix, the linear depth buffer, and the raw RGB back-buffer. The captured data must be exported per frame to disk in a structured CSV format for AI training. The tool should allow configurable resolution, frame interval, and output directory via flags or an .ini file, while maintaining accurate capture with minimal performance impact. Implementation approach: I will create a Windows DLL-based hooking utility using graphics API interception (DirectX hooking via Detours/MinHook or similar). The tool will attach to the game process, intercept render calls, and extract the camera matrix, depth buffer, and RGB back buffer each frame. Depth values will be converted to linear space before export. A lightweight writer will serialize frame data into a clearly structured CSV schema. Configuration will be handled through an .ini file or CLI flags. I will also validate matrix accuracy and depth reconstruction against test frames and provide documented source code, build steps, and a 100-frame sample capture. A few quick questions: Which graphics API does the game primarily use (DX11, DX12, OpenGL, Vulkan)? Should frames be captured every frame or at a configurable interval (e.g., every N frames)? Do you want RGB buffers saved only in CSV or also as image files for verification?

@rogelitoc

Hello, I have experience with graphics API interception, frame capture and tooling around DirectX pipelines for computer vision and rendering analysis. I can build a lightweight Windows DLL injector that hooks into the game’s rendering loop and captures per frame the 4x4 view projection matrix, linearised depth buffer and raw RGB back buffer with minimal performance overhead. My approach would be to hook at the DirectX layer using Detours or MinHook and intercept key calls such as Present and relevant shader or constant buffer updates. For DirectX 11 and 12 compatibility I would abstract the capture layer so buffer extraction and resource mapping are version aware, using staging textures to read GPU memory safely. Depth will be converted to linear space using the projection parameters before export. All outputs will be written to disk in a clearly defined CSV schema with configurable resolution, frame interval and output path via command line flags or ini file. You will receive the compiled DLL and injector, fully commented source code, a 100 frame example capture and a concise README detailing build steps and CSV field order. Accuracy and deterministic frame alignment will be prioritised to match your debug overlay validation.