I’m looking for a freelancer to build a lean, Docker-based pipeline that turns raw MP4 videos of nematodes or small insects into per-frame pose and trajectory data, feature tables (speed, curvature, angular velocity, pause/move ratios), a 2D UMAP embedding (PNG + interactive HTML) and a single HTML report
You’ll handle video normalization (25 fps, square crop, background subtraction), pose estimation with Tierpsy-Tracker and DeepLabCut (using a supplied model), feature extraction, UMAP projection, report templating, plus basic testing on five sample videos and CI via GitHub Actions or similar
This is a one-off project, with a budget of $1000. I’m looking for a freelancer who can start immediately and deliver within 10 days.
Please provide examples of your previous work and your approach to this project.
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