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I will build a computer vision pipeline with yolov8 opencv and ffmpeg
Senior Python Developer, Android Reverse Engineering, AI Agents and RAG
𝗜 𝗯𝘂𝗶𝗹𝗱 𝘁𝗵𝗲 𝘁𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝘄𝗼𝗿𝗸 𝗺𝗼𝘀𝘁 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿𝘀 𝘁𝘂𝗿𝗻 𝗱𝗼𝘄𝗻.
✅ AI agents & RAG chatbots (LangChain, OpenAI API)
✅ Android reverse engineering (Frida, JADX, SSL-pin...
Über diesen Service
Struggling to get a computer vision pipeline that works in production? Tired of demos that fall apart on real video, real GPUs, or real resolution?
I build CV pipelines with YOLOv8, OpenCV and FFmpeg every day. Detection, tracking, batch processing, REST inference not just a notebook.
- Shipped work (some public on github.com/pyotrmuhammad):
- ComfyUI-BatchFactory AI image batch pipeline from Google Sheets.
- TikTokBatchFactory video factory with FFmpeg + orchestration.
- KrakenSubtitle frame-accurate word-by-word karaoke subtitle burner.
- SPORTSREELZ football match highlight extractor with CV + scene detection.
- Pepite Quiz (@pepitequiz on YouTube) automated quiz video channel I built end-to-end.
- nzs-luxe.com AI video generation + auto-upload to social, for my own e-commerce store.
- Podcast Clip Pipeline viral clip extractor with speaker + scene detection.
What you get: working pipeline tuned to your input and hardware. YOLOv8 model size by latency budget. OpenCV pre/post-processing. FFmpeg for ingest, encode, clip extraction. README and runnable example.
Tell me what you need detected, classified, or extracted. NDA on request.
Mein Portfolio
FAQ
Q: What real computer vision projects have you actually shipped?
A: ComfyUI-BatchFactory and TikTokBatchFactory are public on my GitHub (github.com/pyotrmuhammad), plus rmbg-enhance for production background removal and KrakenSubtitle for frame-accurate subtitle burning. All built and deployed by me
Q: Can you handle real-time inference or GPU optimization?
A: Yes. YOLOv8n hits 30+ FPS on a single T4 GPU. I tune model size (n/s/m/l/x) and batch size to your latency budget. ONNX export and TensorRT optimization available on Premium tier.
Q: What deliverables do I get?
A: Working Python pipeline, README, requirements.txt, one runnable example, the trained model file, and inference scripts. Premium tier adds Dockerfile and REST API server.
Q: Do you sign NDAs?
A: Yes, on every project — standard practice. Your dataset, target use case, and code stay private.
Q: How fast can you start?
A: Within 24 hours of order confirmation. Drop me your input format and target detection — I'll send a clear plan within hours.
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ryang11
Vereinigte Staaten
Laufende ZusammenarbeitProactive approach and ability to stay on top of all aspects of project is remarkable.
800 $-1.000 $
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1 Bewertungen für diesen Service
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- Qualität der Lieferung
- Preis-Leistungs-Verhältnis der Lieferung
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Am relevantesten
R ryang11
Vereinigte Staaten
Laufende ZusammenarbeitProactive approach and ability to stay on top of all aspects of project is remarkable.
800 $-1.000 $
Preis
4 Wochen
Dauer
Hilfreich?
