ultralytics 8.4.198

v8.4.198 - `ultralytics 8.4.198` Save NumPy float64 values as numbers in YAML files (#26993)

on Python PyPI

🌟 Summary

Ultralytics 8.4.198 makes training settings and YAML files more reliable, alongside fixes to downloads, dataset errors, and documentation. No model architecture or pretrained-weight changes are included.

📊 Key Changes

• NumPy learning rates now save correctly in YAML — The main change converts np.float64 values to ordinary numeric values when writing YAML. Training arguments such as sweep-generated learning rates can now be saved and reused from args.yaml.
• More robust YAML parsing — Fixes handling of block-scalar indentation, whitespace-only lines, and nodes written on their own lines, bringing the built-in parser closer to YAML conventions.
• Improved download and dataset errors — Downloads now identify themselves with an Ultralytics User-Agent, helping avoid some servers rejecting requests. Missing classification datasets now produce a clear file-not-found error instead of a confusing failed-download message.
• More dependable training and logging — Updates the minimum supported versions of ultralytics-thop and ultralytics-platform; also suppresses a Triton warning that could appear during profiling.
• Clearer documentation — Explains how relative project paths are resolved and standardizes how metrics such as mAP and depth accuracy are written across docs and benchmark tables.

🎯 Purpose & Impact

• 🔁 Reuse training configurations more easily: NumPy-based hyperparameter sweeps no longer produce YAML values that reload as strings and fail validation.
• 🧰 Fewer confusing failures: YAML parsing, downloads, and missing-dataset handling are more predictable.
• 📚 Easier to follow guidance and compare results: Consistent metric labels and clarified path behavior reduce ambiguity.
• ✅ No model migration needed: These updates improve tooling and documentation rather than changing model behavior.

What's Changed

• Document that a relative project goes under runs_dir/<task> by @Echoslayer in #26985
• Fix block scalar indentation, space-only lines and own-line node indents in the YAML parser by @cainiao33 in #26987
• Remove UTF-8 BOM handling by @glenn-jocher in #26988
• Silence Triton 3.9 FP fusion default warning from torch 2.15 eager bmm by @glenn-jocher in #26989
• Write every metric with explicit sub/superscripts: mAP_50-95, δ₁, mAP^val_50-95 by @glenn-jocher in #26990
• Require ultralytics-thop>=2.2.4 and ultralytics-platform>=0.1.102 by @glenn-jocher in #26991
• Send a descriptive User-Agent on downloads and report missing classify data clearly by @glenn-jocher in #26992
• ultralytics 8.4.198 Save NumPy float64 values as numbers in YAML files by @Nikhi00718 in #26993

Full Changelog: v8.4.197...v8.4.198