Musa Mahmood 8b76e506f3 [0.1.37] gpu-bench: a memory trace per step, -ocr-workers and -ort-log ... Each result now has the GPU's memory over the baseline after loading, the first image, each warm-up pass and each timed pass (with the pass's peak), in the output and as trace= in the results file, so growth across passes (a leak) shows apart from a working set. -ocr-workers sets OCR's GPU worker threads, and -ort-log info prints onnxruntime's arena extensions: what found the cause of 0.1.24's memory fix.		2026-10-17 21:34:15 -04:00
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gpu_bench	[0.1.37] gpu-bench: a memory trace per step, -ocr-workers and -ort-log	2026-10-17 21:34:15 -04:00
export_mask2former_coreml.py	[0.1.32] macOS phase 5: Mask2Former segmentation on the GPU through native Core ML	2026-10-17 21:17:00 -04:00
export_mask2former.py	[0.0.11] Segmentation phases 1-2: Mask2Former exported to ONNX, and modules/Segment to run it	2026-10-10 03:39:28 +01:00
export_ppocr_coreml.py	[0.1.31] macOS phase 5: PP-OCRv5 server OCR on the GPU through native Core ML	2026-10-17 21:17:00 -04:00
export_siglip_coreml.py	[0.1.29] macOS phase 5: SigLIP 2 labels on the GPU through native Core ML	2026-10-17 21:16:31 -04:00
image_probe.jai	[0.1.27] macOS phase 3: HEIC, AVIF, WebP, TIFF and RAW through ImageIO	2026-10-17 21:16:30 -04:00
ocr_bench.jai	[0.0.9] Import: videos and animated GIFs, in .mcap version 4	2026-10-09 23:10:55 +01:00
record_probe.jai	[0.1.10] Recording toolbar: a System sound button beside Mic	2026-10-10 08:20:13 +01:00
segment_probe.jai	[0.1.32] macOS phase 5: Mask2Former segmentation on the GPU through native Core ML	2026-10-17 21:17:00 -04:00