ultralytics 8.4.36

v8.4.36 - `ultralytics 8.4.36` Fix platform training checkpoint regression (#24167)

on Python PyPI

🌟 Summary

Ultralytics v8.4.36 is a stability-focused release that fixes an important training regression for checkpoint-based workflows (especially Ultralytics Platform/HUB usage), plus several documentation clarifications for Platform, Explorer, and Jetson guides. ✅

📊 Key Changes

• 🧠 Critical training fix in Model.train() (PR #24167 by @glenn-jocher)

  • Restores checkpoint-backed model seeding so if a .pt model is already loaded, training reuses that loaded model directly.
  • Prevents the trainer from incorrectly relying on trainer.args.model (which may be a non-file identifier in Platform/HUB flows).
  • Fix is intentionally scoped to the regression introduced in #23640, without broader behavior changes.
  • Adds a dedicated regression test to ensure this checkpoint path stays reliable.

• 🧪 Regression coverage added

  • New test validates that training reuses the in-memory checkpoint model instead of re-parsing model source.
  • Extra test runs confirm detect/segment/classify and core Python model methods remain healthy.

• 📚 Platform and docs alignment updates (supporting PRs)

  • Platform docs now consistently require ultralytics>=8.4.35 for integration.
  • Clarified Platform behavior around deployment defaults (scale-to-zero, single active instance cap), account routes auth scope, dataset/version/export flow, and training/checkpoint expectations.
  • Explorer docs corrected: Explorer is removed in >=8.3.12, with guidance to pin 8.3.11 if needed.
  • Jetson DeepStream links for older JetPack versions now point to NVIDIA archived docs.

🎯 Purpose & Impact

• 🚀 Biggest impact: checkpoint-based training is reliable again in Platform/HUB-style workflows, reducing failed or confusing training starts.
• 🔒 Lower regression risk: targeted code fix + explicit regression test means better confidence in future releases.
• 🧭 Better user clarity: docs now better match real Platform behavior (auth, deployment limits, version requirements), helping users avoid setup mistakes.
• 👥 Broad audience benefit: developers get more predictable training internals, while non-experts get clearer, more actionable documentation and fewer “why did this break?” moments.

What's Changed

• Platform docs updates by @glenn-jocher in #24157
• Use archived DeepStream 6.0.1 and 6.3 links by @Y-T-G in #24162
• fix explorer docs version requirement by @raimbekovm in #24165
• ultralytics 8.4.36 Fix platform training checkpoint regression by @glenn-jocher in #24167

Full Changelog: v8.4.35...v8.4.36