Разработка парсера урона для Lineage II

@AITSoft

Hello, I understand you need a Windows desktop app that tracks damage numbers in Lineage II (High Five) during PvP battles. My plan is to create a program that captures only the game window in real time, processes the image to filter and isolate damage numbers, and recognizes these numbers accurately using a mix of OCR and possibly template matching. The app will distinguish between outgoing, incoming, and pet damage, showing live stats via a lightweight overlay above the game without causing any lag. I'll focus on keeping CPU usage low, support manual selection of screen areas, and deliver a clear, easy-to-use interface with DPS and damage totals. I'll provide full source code, setup instructions, and help with tweaks after testing. Could you share sample screenshots or videos showing how damage numbers appear during combat, especially in cases of overlapping numbers or critical hits? Do you have any preference between Python and C# for better performance or ease of use? Is it important for the overlay to be interactive, or just a passive display? Will the app need to support multiple screen resolutions or just one fixed setup? Are there any specific anti-cheat or security measures on your client that I should be aware of to avoid issues? Best regards,

@diektech

Hi, This is Elias from Miami. I checked your project description and understand you’re looking to develop a damage parser for Lineage II, specifically the High Five version. This tool will likely analyze gameplay data to enhance user experience and provide detailed insights. I’ve worked on similar game development projects utilizing Python and image processing techniques. I understand the key technical challenges involved in creating efficient parsers. I’d be happy to go through the details and suggest the best technical approach. My plan would involve leveraging OpenCV for image processing and implementing statistical analysis to accurately capture and display damage data. I have a few questions to get a better understanding: Q1 – What specific data points do you want the parser to analyze and display? Q2 – Are there any particular integrations with existing tools or platforms that you have in mind? Q3 – What is your preferred output format for the parsed data? Looking forward to hearing from you.

@juanjosec63

Здравствуйте, У меня сильный опыт в Python, OpenCV, OCR, обработке изображений в реальном времени и разработке desktop-приложений для Windows с overlay-интерфейсом. Я могу реализовать приложение, которое будет стабильно захватывать окно Lineage II в оконном режиме, распознавать цифры урона с фильтрацией повторов, разделять входящий и исходящий урон, считать DPS и показывать всю статистику в легком overlay без вмешательства в память игры. Вы можете рассчитывать на понятную коммуникацию, быструю работу и качественный результат, который будет удобно встроен в ваш текущий сценарий использования. С уважением, Juan

@softsolution2000

I understand the requirements for developing a real-time damage parser for Lineage II (High Five) on Windows. The application will analyze damage numbers in PvP scenarios, overlaying statistics on the game window. I will utilize Python, OpenCV for image processing, and OCR for number recognition. I am confident in delivering a stable, low-CPU impact application within your budget range. Let's discuss the project in detail to adjust the budget accordingly. Please review my 15-year profile for assurance of quality work. Looking forward to collaborating with you.

@FaizalShaik80

Hi, hope you are well. I’ve carefully reviewed your requirements, and this is essentially the same type of project I completed two months ago. I am a skilled freelancer with 6+ years of experience in Python, OpenCV, Image Processing and I can deliver the results as quickly as possible. Please visit my profile to check the latest work and honest client reviews. Connect in chat to discuss details and next steps. Warm regards.

@kamran2012

Hi, I will build a Windows overlay app that captures the Lineage II window via DXGI/dxcam, processes frames with OpenCV, and recognizes damage numbers in real time — displaying outgoing, incoming, and pet damage plus DPS directly over the game. For digit recognition, I will use template matching against extracted font sprites from the High Five client rather than generic OCR. This approach handles overlapping numbers and crit scaling far better than Tesseract, and I will track each damage number's screen position across frames to prevent duplicate reads. Questions: 1) Do you have sample screenshots or video of the damage numbers at different resolutions — or should I capture them myself from your server? 2) Are damage colors consistent on your server (e.g. Looking forward to discussing further. Best regards, Kamran

@kareemmaize

Здравствуйте, Kareem here. Для такого парсера ключевая задача — не просто считать цифры с экрана, а сделать стабильное распознавание урона в реальном времени без дублей и без лишней нагрузки на игру. Оптимальный путь здесь — Windows desktop app на Python с OpenCV, быстрым захватом окна через dxcam/mss, отдельной логикой антидубликатов и легким overlay поверх клиента игры. Приоритетом я бы сделал точный захват зоны, фильтрацию цифр, корректную классификацию входящего и исходящего урона, затем DPS и удобный сброс счетчиков. Лучше всего начать с рабочего прототипа на ваших скриншотах/видео, чтобы быстро проверить точность распознавания и уже после этого довести overlay и финальную статистику до стабильного состояния.

@OutsourceMan

⭐⭐⭐⭐⭐ With extensive experience of over 18 years in the industry, our team at CnELIndia is well-versed in Python and various related libraries like OpenCV, PyQt/PySide, dxcam/mss, pytesseract/EasyOCR. Our specialization in scraping and data interpretation compliment the exact requirements of your Lineage II project. Your project demands a comprehensive set of skills which we are proficient in, from window capturing to image analysis and damage recognition. We understand the crucial aspects involved - such as the impact of critical hits on recognition and the need for an algorithm that prevents data repetition. In addition to technical expertise, our offerings extend to providing a stable environment with minimal CPU load, a user-friendly interface with real-time updating stats for convenient analyses, and a transparent background for overlay functionality. Moreover, we're committed to delivering a robust application within the stipulated budget and offering an end-to-end solution including post-testing modifications. Choose us for a harmonious blend of technical proficiency, innovative approach and an uncompromising commitment to get your project done right!

@alizain721

Нужно десктоп-приложение под Windows, которое в реальном времени снимает цифры урона поверх окна Lineage II (High Five) в оконном режиме, классифицирует их (out / in / pet), считает суммарный дамаг и DPS и показывает данные в прозрачном overlay. В объём не входит чтение памяти или вмешательство в клиент — только анализ изображения; критические точки провала — неверная привязка окна, повторное считывание одних и тех же цифр, и падение FPS. Ключевой риск — дублирование и перекрытие цифр: шаблонного OCR достаточно редко, если не добавить пространственно-временной трекинг (IoU + TTL) и нормализацию по размеру для критов. Без этого точность быстро упадёт и появятся артефакты в суммах. Доказательство подхода: готов выполнить короткий платный PoC на вашем видео/скриншотах (30–60 мин работы) и вернуть реальную точность распознавания + рабочий overlay, чтобы снять сомнения до полной реализации. Реализация (кратко): захват DXGI/dxcam (fallback MSS) → OpenCV (RGB→HSV, порог, морфология, контуры) → template match + EasyOCR fallback → трекинг bbox+timestamp для дедупа → PySide2 overlay (WS_EX_LAYERED) + лёгкий расчёт DPS. Итог: .exe, исходники, инструкция, небольшие правки после теста. Может ли вы прислать 20–60 с видео с типичными боями (с критами и наложениями цифр), чтобы за 1–2 часа сделать PoC и прислать отчёт по точности? Бюджет предлагаю 500 EUR.

@mayankinnovative

Hi, As per my understanding: You need a Windows app to parse real-time damage in Lineage II (High Five) using screen capture, strictly avoiding memory reading. It must process frames, recognize incoming, outgoing, and pet damage, and display DPS stats on a transparent overlay. Implementation approach: I will build this using Python. For capturing the window at 20-60 FPS, I will use DXCAM for its low CPU overhead. OpenCV will handle image processing, using HSV conversion and color filtering to isolate text. Since standard OCR like Tesseract is heavy for real-time parsing, I will implement Template Matching to recognize digits. To prevent counting the same floating number twice, I will add a tracking algorithm that follows the text coordinates frame-by-frame. The transparent overlay will be built with PyQt to stay pinned above the game without causing lag. Delivery will include the source code, the executable app, and setup instructions. A few quick questions: 1. Can you share a short gameplay video so I can extract exact color values for the damage fonts? 2. Does pet damage use a unique color compared to regular damage?

@AZTURK1

Hi there, I will build a Windows desktop parser that captures Lineage II (High Five) window frames, extracts and recognises floating damage numbers in real time, and displays OUT/IN/PET DPS via a lightweight overlay , I’ve built similar OpenCV+OCR capture tools and know how to avoid game memory hooks, keeping the solution purely image-based. - Deliverable: Windows app (Python recommended) capturing only the Lineage II window with selectable ROI and DXGI/dxcam or mss fallback - Deliverable: Image pipeline (RGB→HSV/grayscale, color filtering, noise removal) + digit recognition (Tesseract/EasyOCR + template-matching fallback) - Deliverable: Real-time overlay showing OUT DMG, IN DMG, PET DMG, DPS and controls to reset; exportable logs - Quality-control: staged testing, duplicate-read suppression, performance profiling (20-60 FPS target) and minimal-CPU mode with rollback to lower capture rate Skills: ✅ OpenCV ✅ pytesseract / EasyOCR ✅ Compose pipeline: color filtering, template matching, OCR ✅ dxcam / MSS capture and Windows overlay hosting ✅ hardening: noise removal, duplicate suppression, performance profiling Certificates: ✅ Microsoft® Certified: MCSA | MCSE | MCT ✅ cPanel® & WHM Certified CWSA-2 I’m available to start and can deliver an initial prototype for testing. Which capture method do you prefer to prioritise (DXGI/dxcam for top performance or mss as a compatibility fallback), and can you provide sample screenshots or a short video of the damage numbers? Thanks,

@abdf2010

Hello. I came across your project, Разработка парсера урона для Lineage II and it aligns well with my background. I have hands-on experience with Python, OCR, Game Development that's directly relevant here. Feel free to reach out if you have questions.

@AlexDeveloper911

Hey, I can start now. ✅ I’ve worked on something very similar. Parsing damage in real-time for Lineage II (High Five) can be challenging due to the need for accurate and efficient image processing of in-game damage numbers during PvP scenarios. In a recent project, I developed a similar desktop application for real-time data extraction from game interfaces, enhancing user experience and providing valuable statistics. While I haven't specifically parsed damage in Lineage II, I have experience with image recognition and processing in gaming environments, which I would apply here. Let's chat more details. -Alex

@johnedwardl

Hi, I will develop a robust desktop application for Windows that captures and analyzes damage statistics in Lineage II (High Five) during PvP battles. Utilizing technologies like OpenCV for image processing and OCR tools such as Tesseract, I will ensure accurate recognition of damage numbers in real-time, achieving a precision of over 90%. My experience with similar projects has equipped me to optimize screen capturing techniques using DXGI or MSS, ensuring minimal resource consumption while maintaining a smooth gaming experience at 20-60 FPS. The overlay will display damage statistics clearly, allowing players to track outgoing, incoming, and pet damage seamlessly. To enhance accuracy, I will implement algorithms to prevent double counting of damage values, even when critical hits are involved. After testing, I’ll provide the complete application, source code, and a simple installation guide, making it easy for you to deploy and use. Let's discuss how we can move forward with this project. Thank you.

@HemantManglani01

I've read your requirements carefully. I can work on this project feel free to contact me in chat.

@adisonw

Dear Sir, I am thrilled to bid your project. Ваш проект мне действительно близок, потому что здесь важна не просто разработка десктопного приложения, а точная работа с захватом окна, обработкой изображения, распознаванием цифр и стабильным overlay в реальном времени без лишней нагрузки на игру. У меня есть опыт в Python-разработке, работе с OpenCV, desktop UI, логикой real-time обработки и аккуратной интеграцией overlay-интерфейсов, поэтому я могу подойти к задаче системно и без лишнего усложнения. Для такого проекта я бы выстроил работу по этапам: сначала стабильный захват окна Lineage II, затем выделение зоны урона и фильтрация цифр, после этого распознавание с защитой от повторного считывания, и уже затем overlay со статистикой OUT DMG, IN DMG, PET DMG и DPS. Если в процессе станет ясно, что OCR даёт нестабильный результат, я смогу предложить более надёжный путь через template matching или гибридный подход ради лучшей точности и скорости. Один важный вопрос: отличаются ли визуально входящий и исходящий урон по цвету, позиции или стилю цифр, чтобы их можно было уверенно разделять без доступа к игровым логам? Sincerely, Adison.

@ivicab6

As a full-stack engineer with 6+ years of experience, I have acquired a robust set of skills that make me highly qualified for your project. I have extensive experience working with Python and its libraries such as OpenCV and pytesseract that will be vital for image processing, template matching, and OCR tasks. My strong command over programming languages like C++ and C# (.NET) also allows me to maximize performance where necessary, ensuring your application runs smoothly. In addition to my technical skills, my dedication to clean, maintainable architecture, performance optimization, and reliability will be invaluable in creating a stable, efficient parsing tool. I am confident in my ability to deliver precise damage analysis with an accuracy rate of 90-95% and develop algorithms that effectively prevent the repetitive reading of the same value. Moreover, my strong background includes automating complex business processes and building system-to-system integrations which can prove advantageous as we integrate your solution into the game without interrupting its memory or performance. My hourly rate is well within your budgetary estimation as outlined in your project description at $75/hour. Let's partner together so we can ace this dungeon of digital-image wizardry together!

@digilogies

Relevant portfolio available to share - just drop a message and I'll send it your way. Thanks for reading my proposal. I’d like to clarify that I’m not an AUTO-BIDDER or BOT. I personally read through your project details before submitting my bid and have a clear understanding of what needs to be done. As a highly skilled and experienced software developer, I bring to the table an intricate understanding of Python -- which includes the utilization of Django as well as front-end development with Vue.js, React.js, and Node.js. Also, I boast of a strong background in computer vision and image processing, having leveraged libraries such as OpenCV to process and convert complex images into structured data. These skills make me uniquely qualified for your project. Let's start your project when you are ready or we can schedule a quick call or have a chat to discuss your requirements. You can check our recent portfolio and client feedback here: ⭐ https://www.freelancer.com/u/digilogies ⭐

@Lazarone1

Hi, that’s great to hear! Your project closely aligns with one I recently worked. In that project, I built a real‑time combat parser for an MMORPG using high‑frequency screen capture, OpenCV preprocessing, and OCR recognition with optimized filtering, combined with an overlay interface using PySide and DXGI for near‑zero‑lag rendering. For your Lineage II High Five damage parser, I can implement accurate screen‑region capture, color‑filtered digit extraction, OCR or template‑based recognition, classification of IN/OUT/PET damage, and a lightweight transparent overlay updated in real time. I’d be glad to connect and share my experience in more detail over chat. Thank you. Best regards, Lazar