FastAPI Image Cutline Service

@softsolution2000

I have extensive experience in JavaScript, Python, Software Architecture, Machine Learning (ML), and Docker, making me a great match for the FastAPI Image Cutline Service project. The budget can be adjusted after discussing the full scope, and I am committed to completing the project efficiently. I am confident and eager to start working on this exciting project. Please review my profile for my 15 years of experience and the quality of work I have delivered. Let's discuss the details and get started right away. Looking forward to hearing from you.

@ZohaibRoy

⭐⭐⭐⭐⭐ Create a FastAPI Microservice for Auto-Outline Detection ❇️ Hi My Friend, hope you are doing well. I've reviewed your project requirements and noticed you're looking for a FastAPI microservice for image processing. Look no further; Zohaib is here to help you! My team has successfully completed 50+ similar projects for image processing solutions. I will create a service that accepts JPEG or PNG uploads, detects the outer contour, and returns the SVG cutline. ➡️ Why Me? I can easily build your FastAPI microservice as I have 5 years of experience in Python development, specializing in FastAPI, OpenCV, and image processing. My expertise includes API development, image manipulation, and backend services. I also have a strong grip on other relevant technologies, ensuring a seamless process for your project. ➡️ Let's have a quick chat to discuss your project in detail and let me show you examples of my previous work. I'm looking forward to discussing this with you in chat. ➡️ Skills & Experience: ✅ FastAPI Development ✅ Python Programming ✅ OpenCV ✅ Image Processing ✅ SVG Generation ✅ API Design ✅ Docker (optional) ✅ Error Handling ✅ Code Optimization ✅ Dependency Management ✅ JSON Handling ✅ Backend Development Waiting for your response! Best Regards, Zohaib

@techplusintl

Hi there, I understand that you need a FastAPI microservice to process image uploads, specifically to trace and expand the outer contour of visible subjects in JPEG or PNG formats. This is a crucial task, and I am confident in my ability to deliver a clean and efficient solution. I will implement the auto-outline detection using libraries like OpenCV or scikit-image, ensuring that the service can handle images up to 30 MB without timing out. The API will include the endpoints you specified, with a focus on reliability and clear communication throughout the project. You can expect fully-commented Python code, a detailed requirements file, and a concise README to facilitate setup. I will also provide a sample request/response JSON along with the generated SVG file and an annotated screenshot demonstrating the functionality. I am committed to delivering quality work and will keep you updated on progress. Looking forward to your response. Best regards, Burhan Ahmad TechPlus

@arzoof1

Hello I will build a lean, production-ready FastAPI microservice that precisely auto-detects the subject contour (using OpenCV/scikit-image), applies configurable path inflation, and streams back a clean, optimized SVG cutline — all designed to reliably handle 30MB images without timeouts. You will receive fully commented uvicorn-ready code, structured dependencies, sample request/response with generated SVG, annotated proof screenshot, and a concise README with curl quick-start — plus an optional lightweight Docker setup if required. I focus heavily on contour accuracy and geometric stability so your offset paths remain clean and print-ready. Best Regards, Arzoo Farooq

@shanec35

Hello, I have carefully analyzed your requirements for a FastAPI microservice that generates expanded cutlines from uploaded images. I recently built a similar image-processing API using FastAPI and OpenCV, where uploaded PNG/JPEG files were analyzed to extract contours, convert them into vector paths, and return SVG outputs for downstream automation. For your project, I will implement a clean FastAPI service with an /outline endpoint that accepts multipart uploads, detects the outer contour of the visible subject, expands the path by a configurable offset, and streams back a plain-text SVG. The solution will comfortably handle images up to 30 MB, include an optional /health endpoint, and rely on well-known libraries like OpenCV or scikit-image with clear licensing disclosure. I will deliver fully commented Python code, dependency files, sample requests and responses, an example SVG, an annotated screenshot, and a concise README with setup and curl usage. Docker support can be included with a lean image if desired. I am available to begin work immediately and am committed to delivering a clear, reliable, and well-documented service within the shortest possible timeframe. Best regards, Elenilson

@juanjosec63

Hello, I’m excited about the opportunity to contribute to your FastAPI outline-to-SVG microservice. With my expertise in FastAPI, OpenCV/scikit-image image processing, and clean microservice design, I can deliver a uvicorn-ready service that accepts JPEG/PNG uploads, auto-detects the outer contour of the visible subject, expands the cutline by a configurable offset, and streams back plain-text SVG, with an optional /health endpoint and safe handling for images up to ~30 MB. I’ll tailor the work to your exact requirements, ensuring the auto-outline routine is the priority, the offset/inflation step is consistent, and the deliverables include fully-commented code, complete dependency listing, sample request/response with generated SVG, an annotated screenshot demonstrating the outline + offset path on a real image, and a concise README with setup, env vars, and a quick-start curl example, with an optional lean Docker build if desired and clear disclosure of any third-party licences. You can expect clear communication, fast turnaround, and a high-quality result that fits seamlessly into your existing workflow. Best regards, Juan

@waqaswebmaster

I can build this FastAPI microservice exactly as described: upload JPG/PNG → auto-detect the outer contour of the visible subject → inflate it by a configurable offset → return a clean SVG cutline. Approach (no heavy model weights): OpenCV preprocessing (alpha-aware for PNG, otherwise adaptive threshold / grabcut-style masking if needed) Extract the dominant external contour (findContours), simplify + smooth (optional) Convert contour to vector path and offset it using a geometric buffer (Shapely/GEOS) with pixel→mm support (optional via DPI param) Stream back plain-text SVG Service design: POST /outline (multipart upload + offset param) GET /health Handles ~30MB via temp file streaming + sane limits/timeouts (uvicorn) and optional background task/queue hook if you want async later. Deliverables included: Commented FastAPI code + requirements/pyproject README + curl quickstart + sample request/response Sample generated SVG Annotated screenshot showing detected outline + offset cutline Optional lean Dockerfile Licensing: OpenCV (BSD), Shapely (BSD), GEOS (LGPL). No third-party model downloads. Best regards, Waqas Ahmed

@DngPhgNam

⭐⭐⭐⭐⭐ ✅Hi there, hope you are doing well! I have developed similar FastAPI microservices that accept image uploads and use OpenCV for contour detection to generate SVG cutlines efficiently. The most critical part for success is accurate and reliable auto-outline detection, ensuring the path cleanly matches the visible subject. Approach: ⭕ Use FastAPI with uvicorn for responsive API endpoints (/outline and /health) ⭕ Implement contour extraction using OpenCV with configurable offset expansion ⭕ Stream plain-text SVG output for easy integration ⭕ Support multipart image uploads up to 30 MB without timeout ⭕ Provide detailed documentation and examples, including README and annotated screenshots ❓ Could you confirm the preferred units for the offset (pixels or mm)? ❓ Are there any specific performance or latency targets? I am confident in delivering a professional, clean, and fully-commented Python solution on time with clear documentation. Best regards, Nam

@jeric5g

Hello, I read your FastAPI image cutline service spec and I’m confident I can build a clean, self-contained microservice that accepts JPEG/PNG uploads, traces the outer contour, inflates it by a configurable offset, and returns an SVG path. I’ll implement a robust outline pass using OpenCV/scikit-image, with a lightweight queue and a streaming response for the SVG. The deliverables will include well-commented Python code, a requirements file, a sample request/response, an annotated screenshot, and a concise README. Docker support is optional but straightforward if you want a lean container. Best regards, Jeric Gonzales

@Intelliglance786

Hi, I am professional full stack developer with skills including Python, JavaScript, OpenCV, Software Architecture, API Development, FastAPI, Docker and Machine Learning (ML). After reviewing the project requirements and checking the attachment, I found the project perfectly match my experience and skills. Having previously worked on similar projects, I'm confident I can complete this project perfectly. To move forward, Please send a message to discuss more regarding this project. Thank you

@syeds273

Hey , Thank you for sharing the job details. After going through the description, it’s clear you need someone confident with Machine Learning (ML), API Development, OpenCV, Docker, JavaScript, FastAPI, Python and Software Architecture and can deliver clean, reliable results. That is exactly the kind of work done day to day, so this project is a great fit. Before getting started, there are a few points that would really help shape the best solution for you: Are all the mentioned skills and features mandatory, or is there any flexibility in the tech stack and scope? Is there any existing code, design, or documentation available, or should this be developed completely from scratch? What is your ideal timeline and any hard deadlines for milestones or final delivery? Why work with me? 1. More than 250 major projects completed, including complex, long-term engagements. 2. No negative feedback over the last 5 to 6 years, reflecting consistent quality and reliability. 3. 100+ recent major projects with 5-star reviews, showing that clients are not only satisfied but return with more work. Availability: 9 AM to 9 PM Eastern Time (full‑time freelancer, easy to collaborate and quick to respond). Portfolio: https://www.freelancer.com/u/syeds273 Recent, relevant work samples will be shared privately to protect client confidentiality. Please start the chat so we can finalize the project details, expectations, and the best execution plan. Regards, Syed.

@dexwolftech999

Hi, I specialize in creating efficient and scalable FastAPI microservices. For your FastAPI Image Cutline Service project, I can develop a robust microservice that seamlessly processes uploaded JPEG or PNG images, accurately traces the subject's outer contour, expands the shape by a customizable offset, and generates SVG files. To ensure a smooth workflow, I will implement the outlined flow: users upload images to /outline, the API processes the image using preferred libraries like OpenCV or scikit-image, expands the path as per requirements, and returns the SVG file. Additionally, I will include a /health endpoint for monitoring purposes. Two key questions for clarification: 1. Are there specific libraries or frameworks you prefer for image processing? 2. Do you have any preferences for the offset value or format of the SVG file? Why choose us: - Extensive experience in FastAPI development - Proficient in image processing and SVG generation - Strong focus on clean and well-documented code - Willingness to adapt to your specific requirements I would love to discuss this project further with you. Let's connect and delve into the details to kickstart this exciting project! Thanks!!

@moha262

Hello! After reviewing your post, I believe my Software Architecture, Python, JavaScript, Machine Learning (ML), Docker, API Development, OpenCV and FastAPI skills are a great fit for your project. I have the expertise you need for your project and am confident I can successfully complete it. With 9 years of practical experience, I will meet your deadlines and deliver flawless results. I would like to discuss your project with you in a specific question and answer format. I look forward to hearing from you anytime. Thank you, Moh A.

@generosoiii

Hi I have strong experience building FastAPI microservices and can implement a robust outline‑detection pipeline with OpenCV that returns clean SVG cutlines efficiently. I will deliver a fully documented, uvicorn‑ready service that handles 30 MB images smoothly. Do you prefer the contour inflation to be measured strictly in pixels, or should the service also support real‑world units like millimetres based on DPI metadata? Best regards, Generoso

@francentimothyc

Hello I’m a Python backend developer with hands-on experience building production applications using Django and FastAPI. In one project, I used Django to build a full backend for a marketplace platform, including user authentication, role-based access, admin dashboards, and order management using the Django ORM and PostgreSQL. In another project, I used FastAPI to build a high-performance API for a data-driven application, where async endpoints, Pydantic validation, and background tasks were used to handle real-time requests and long-running jobs efficiently. I’ve designed clean database schemas, optimized queries, and handled migrations to support growing datasets without performance issues. I’ve also integrated third-party services such as Stripe for payments and external APIs, focusing on proper error handling and secure data flow. For deployment, I containerized these applications with Docker, set up CI/CD pipelines, and deployed them to cloud environments to ensure reliable releases. I enjoy using Python to build backend systems that solve real problems and scale smoothly as the product grows. Best regards, Francen Timothy N. Castro

@jessev08

Hi, I’ve worked on projects like this before, so what you’re describing makes sense to me. And I'm really interested in this project - FastAPI Image Cutline Service. I usually focus on getting things done cleanly and making sure they work properly in real use, not just on paper. I’m comfortable either improving an existing setup or helping build something new, depending on what stage you’re at. I keep communication straightforward, share progress along the way, and flag issues early so there are no surprises later. If you want, you can share a bit more about the current setup or the goal you’re trying to reach, and I can let you know how I’d approach it. Thanks, Jesse

@aftababdullah25

With a dedication to harnessing technology, a deep understanding of Machine Learning and valuable experience in implementing OpenCV, I am the perfect candidate for your FastAPI Image Cutline Service project. Having successfully built and deployed several AI systems, I can assure you of my ability to deliver a clean, self-contained solution that meets all your outlined specifications. Drawing on my ML and OpenCV expertise, I will develop a meticulously commented Python code that leverages the most suitable library to automatically trace the outer subject contour. Beyond just meeting the primary deliverable, I will also provide edge smoothing and color tweaks so you have a comprehensive solution that enhances usability. To ensure impeccable service execution, I will cautiously handle images up to roughly 30 MB without causing any timeouts. Moreover, in my fully documented README, I will cover setup, environment variables and incorporate a simple curl example to facilitate you in leveraging the service efficiently. Rest assured that every step of my work will be focused on optimizing your time, enhancing efficiency, and ultimately providing substantial value to your business.

@maazjaved233

Pay only when you are 100% satisfied. Greetings, I read your job post and I understand you need a FastAPI microservice that accepts JPEG/PNG uploads, detects and traces the subject’s outer contour, expands it by a configurable offset, and returns an SVG. I can build a clean, self-contained service using OpenCV or scikit-image, with endpoints /outline for processing and /health for monitoring, fully capable of handling images up to ~30 MB. I’ll provide fully-commented Python code, dependencies, sample requests/responses with SVG, and a screenshot demonstrating the outline. Dockerisation is optional but can be included as a lean container. Could you confirm your preferred units for the offset (pixels vs mm) and any specific SVG styling requirements? Regards, Maaz.J