Budget: 27000 UAH Deadline: 30 days
I can do this task, write to me in private messages...
I have experience working with CUDA.
Summary
Build a minimal but scalable SDK for a custom stereo camera that provides:
a pluggable disparity interface (algorithms: SGBM, LightStereo, CREStereo; MVP: LightStereo CPU + LightStereo CUDA),
a simple viewer (stereo + depth), and
Deliver an MVP in 3 weeks, production-ready structure, clear extension points, and CI. The SDK must be designed to become cross-platform and language-agnostic (future bindings for Python, Rust, Java).
Target MVP Scope (3 weeks)
Platforms (MVP)
Primary dev/test: Linux x86_64 (Ubuntu 22.04 or 24.04).
Optional (nice-to-have if time allows): Windows 11.
GPU: NVIDIA CUDA (12.x) for LightStereo CUDA variant (if GPU present). CPU-only still required.
Core Modules
Disparity Engine Abstraction
MVP implementations:
LightStereoCPU (no GPU)
LightStereoCUDA (CUDA 12.x)
Stubs only (no implementation) for SGBM and CREStereo to demonstrate the extension points (return “not implemented” but compile).
Viewer (simple)
Minimal UI
Panels:
Live Stereo view (left/right rectified).
Depth view: colorized depth, with dynamic range slider + click-to-probe pixel to show depth (m) and disparity.
FPS + latency overlay.
Source selector (Dummy folder / camera API placeholder).
Algorithm selector (LightStereo CPU/CUDA).
Record/Playback:
Optional if time permits: write/read simple dataset format (pngs + timestamps + json).
Public C API (for future language bindings)
Provide a thin C layer on top of the C++ core
Python demo binding via pybind11 around the C API. This proves multi-language viability now; Rust/Java to be added later using same C ABI.
Non-Goals (MVP)
Full cross-platform parity (macOS, ARM) — just design for it.
Production-grade camera driver integration — we’ll use a clean interface and a dummy source now.
Advanced UI features (ROI tools, 3D point cloud) — can be future work.
Tech Stack
Language: C++20 for core; C ABI for FFI; minimal C wrappers.
Build: CMake (exported targets, find_package ready).
Computer Vision: OpenCV 4.8+.
GPU: CUDA 12.x (optional at runtime).
UI: Dear ImGui + GLFW (or Qt 6 if contractor prefers, but must keep layering clean).
Bindings: pybind11 (MVP demo).
Testing: GoogleTest + data-driven tests; clang-format/clang-tidy.
CI: GitHub Actions (Linux build + unit tests; optionally Windows).
Deliverables
Source code repo.
Build scripts (CMake) and README with:
prerequisites, build, run, and sample commands,
how to call the C API and Python binding.
CLI tools
stereo_viewer (run viewer; select algorithm; show stereo+depth).
stereo_benchmark (optional: measures FPS/latency on sample data).
Python demo
Minimal example examples/python/run_lightstereo.py that loads two images + calibration (hardcoded) and returns depth.
Unit tests
Rectification consistency.
Disparity API smoke tests for CPU/CUDA variants.
CI pipeline (Linux build + tests).
Documentation
API reference (doxygen or md files).
Architecture overview diagram.
Extension guide: “How to add a new IDisparity implementation”.
Release artifacts
libstereo_sdk.so (or .dll), CLI tools, and Python wheel for Linux (cp310+).
Timeline & Milestones (3 Weeks)
Week 1
Repo scaffolding, CMake, core types, C API skeleton.
Week 2
IDisparity interface + LightStereoCPU implementation.
Viewer (stereo + depth; selector; FPS overlay).
Python binding (run path), initial tests, CI.
Week 3
LightStereoCUDA implementation and runtime selection.
Stabilize C API; docs; examples.
Performance pass; unit tests; packaging & delivery.
Contractor Qualifications
Strong C++ (C++17/20) and CMake.
OpenCV experience.
Experience with deep/disparity models (LightStereo/CREStereo/SGBM) and CUDA kernels or deployment.
Familiar with FFI and building C ABI for Python/Rust/Java bindings.
Comfortable with Dear ImGui (or Qt) for quick viewers.
Bonus: packaging (Python wheels), Windows builds, plugin architectures.
Budget: 27000 UAH Deadline: 30 days
I can do this task, write to me in private messages...
I have experience working with CUDA.
Budget: 27000 UAH Deadline: 4 days
Hello! I am ready to complete this project and have extensive experience in developing various applications.
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