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Running on Zero
Running on Zero
Commit History
12 days ago
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Redesigned UI, reference checks, fixed models, colour-correct samples
- Examples list (complete study + one clip per view) that generates on click; each clip shows its reference (view, study values) and a Reference check tab scores every run against it - Report streams section by section; measurements flagged with EchoPrime ROC thresholds and cross-checked against the report's own numbers - Stop on <eos> and <end_of_turn>: the report no longer runs on into a second copy - Macedonian translation with the LoRA adapter disabled (it was repeating the English report), used-terms glossary and fixed section headings; runs as its own GPU call - EchoPrime predict_metrics: each phenotype now reads its own section's retrieval - Samples rebuilt from the original DICOMs with YBR->RGB conversion (old ones were tinted and 4 of 6 got the wrong view) - RAM: skip the 1.2M report decode, label arrays instead of dicts, chunked encoding, so the full study fits; DICOM preprocessing in a small thread pool (108 s -> 23 s) - GPU durations sized from measured runs (was …bc8e1e0
24 days ago
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Add public sample video 5 (from EchoPrime example study)
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Add public sample video 4 (from EchoPrime example study)
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Add public sample video 3 (from EchoPrime example study)
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Add public sample video 2 (from EchoPrime example study)
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Add public sample video 1 (from EchoPrime example study)
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Add public sample video 0 (from EchoPrime example study)
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