Roland Tannous e04b9d53d6 feat: parallel URL image probe with time estimate and progress reporting ... - Add 200-sample parallel probe using ThreadPoolExecutor + safe_num_proc to estimate download speed and failure rate before full conversion - Abort with clear error if >=30% of probe images fail to download - Show estimated download time in the training overlay modal - Parallel batch conversion for URL-based datasets (vs sequential for local) - Add warning field to /check-format response for URL-based image datasets - Display URL warning in dataset preview dialog (amber banner) - Thread progress_callback from trainer through format_and_template_dataset to convert_to_vlm_format for real-time status updates		2026-03-04 23:40:38 +00:00
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__init__.py	refactor: remove gradio dependency from training backend	2026-02-13 09:25:49 +00:00
trainer.py	feat: parallel URL image probe with time estimate and progress reporting	2026-03-04 23:40:38 +00:00
training.py	feat: add index range dataset slicing to studio training page	2026-03-04 23:24:09 +00:00