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asaadfish / fisher-ad-reader

Last scanned: Oct 3, 2026 at 6:30 PM UTC

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Versions

Version	Commit message	Commit author	Last scanned
b6e466	Add CoreML category classifier (category_clf_b8_s128.mlpackage)	asaadfish	Never scanned
a8cf26	Add CoreML category classifier (category_clf_b8_s64.mlpackage)	asaadfish
011cad	Remove mis-nested ppocr_rec_v6_cal.mlpackage (downloader expects it at repo root)	asaadfish
83fa55	Add CoreML mlpackage for PP-OCRv5 server rec (ppocr_rec_v6_cal.mlpackage)	asaadfish
00987f	Add MobileCLIP S2 ONNX (LICENSE) for Windows auto-download (from Xenova/mobileclip_s2, Apple AMLR license included)	asaadfish
c8dfc7	Add MobileCLIP S2 ONNX (tokenizer.json) for Windows auto-download (from Xenova/mobileclip_s2, Apple AMLR license included)	asaadfish
15ca37	Add MobileCLIP S2 ONNX (text_model.onnx) for Windows auto-download (from Xenova/mobileclip_s2, Apple AMLR license included)	asaadfish
0b0ba1	text_detector: yolo26l-obb retrained on ds6 (california, 9,663 pages, 1.68M ghost-purged boxes). Gold val P .982 R .826 mAP50 .833 mAP50-95 .808; coverage recall @50% = 99.03%. Export: imgsz 1536, max_det=1000, end2end, output (1,1000,7). Prior version: lfs a340c0259dde082e (rollback via revision 9e300531484e).	asaadfish
9e3005	Upload ppocr_v6_cal/ppocrv6_dict.txt with huggingface_hub	asaadfish
fc8f0e	Add finetuned PP-OCRv6_medium_rec (number/symbol-augmented, fp32+LR-drop): general 0.986, numbers 95.1% (beats v5 0.935/93.1% on every pattern)	asaadfish
de939b	Add finetuned PP-OCRv6_medium_rec (number/symbol-augmented, fp32+LR-drop): general 0.986, numbers 95.1% (beats v5 0.935/93.1% on every pattern)	asaadfish
ffa9cf	Remove stale native CoreML .mlpackage (rec served as fine-tuned ONNX)	asaadfish
644579	Deploy fine-tuned PP-OCRv5 server rec model (replaces stale)	asaadfish
9c6ec5	Add ANE-accelerated CoreML LayoutLMv3 (fp32 embed+bias / fp16 ANE encoder, 3 seq buckets)	asaadfish
bbee6f	ppocr_rec_v5_server: epoch-20 final (val acc 0.959, norm_edit 0.994)	asaadfish
1f1101	Upload ppocr_rec_v5_server/ppocrv5_dict.txt with huggingface_hub	asaadfish
5fda59	Upload ppocr_v5/ppocr_fisher.onnx	asaadfish
c3905c	Upload 3 files	asaadfish
635409	Delete birefnet_lite_exact_fp16_512.mlpackage	asaadfish
213e2c	Upload BiRefNet_lite-general-2K-epoch_232.onnx	asaadfish

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Version	Commit message	Commit author	Last scanned
b6e466	Add CoreML category classifier (category_clf_b8_s128.mlpackage)	asaadfish	Never scanned
a8cf26	Add CoreML category classifier (category_clf_b8_s64.mlpackage)	asaadfish
011cad	Remove mis-nested ppocr_rec_v6_cal.mlpackage (downloader expects it at repo root)	asaadfish
83fa55	Add CoreML mlpackage for PP-OCRv5 server rec (ppocr_rec_v6_cal.mlpackage)	asaadfish
00987f	Add MobileCLIP S2 ONNX (LICENSE) for Windows auto-download (from Xenova/mobileclip_s2, Apple AMLR license included)	asaadfish
c8dfc7	Add MobileCLIP S2 ONNX (tokenizer.json) for Windows auto-download (from Xenova/mobileclip_s2, Apple AMLR license included)	asaadfish
15ca37	Add MobileCLIP S2 ONNX (text_model.onnx) for Windows auto-download (from Xenova/mobileclip_s2, Apple AMLR license included)	asaadfish
0b0ba1	text_detector: yolo26l-obb retrained on ds6 (california, 9,663 pages, 1.68M ghost-purged boxes). Gold val P .982 R .826 mAP50 .833 mAP50-95 .808; coverage recall @50% = 99.03%. Export: imgsz 1536, max_det=1000, end2end, output (1,1000,7). Prior version: lfs a340c0259dde082e (rollback via revision 9e300531484e).	asaadfish
9e3005	Upload ppocr_v6_cal/ppocrv6_dict.txt with huggingface_hub	asaadfish
fc8f0e	Add finetuned PP-OCRv6_medium_rec (number/symbol-augmented, fp32+LR-drop): general 0.986, numbers 95.1% (beats v5 0.935/93.1% on every pattern)	asaadfish
de939b	Add finetuned PP-OCRv6_medium_rec (number/symbol-augmented, fp32+LR-drop): general 0.986, numbers 95.1% (beats v5 0.935/93.1% on every pattern)	asaadfish
ffa9cf	Remove stale native CoreML .mlpackage (rec served as fine-tuned ONNX)	asaadfish
644579	Deploy fine-tuned PP-OCRv5 server rec model (replaces stale)	asaadfish
9c6ec5	Add ANE-accelerated CoreML LayoutLMv3 (fp32 embed+bias / fp16 ANE encoder, 3 seq buckets)	asaadfish
bbee6f	ppocr_rec_v5_server: epoch-20 final (val acc 0.959, norm_edit 0.994)	asaadfish
1f1101	Upload ppocr_rec_v5_server/ppocrv5_dict.txt with huggingface_hub	asaadfish
5fda59	Upload ppocr_v5/ppocr_fisher.onnx	asaadfish
c3905c	Upload 3 files	asaadfish
635409	Delete birefnet_lite_exact_fp16_512.mlpackage	asaadfish
213e2c	Upload BiRefNet_lite-general-2K-epoch_232.onnx	asaadfish

Version

Commit message

Commit author

Last scanned

b6e466

Add CoreML category classifier (category_clf_b8_s128.mlpackage)

asaadfish

Never scanned

a8cf26

Add CoreML category classifier (category_clf_b8_s64.mlpackage)

asaadfish

011cad

Remove mis-nested ppocr_rec_v6_cal.mlpackage (downloader expects it at repo root)

asaadfish

83fa55

Add CoreML mlpackage for PP-OCRv5 server rec (ppocr_rec_v6_cal.mlpackage)

asaadfish

00987f

Add MobileCLIP S2 ONNX (LICENSE) for Windows auto-download (from Xenova/mobileclip_s2, Apple AMLR license included)

asaadfish

c8dfc7

Add MobileCLIP S2 ONNX (tokenizer.json) for Windows auto-download (from Xenova/mobileclip_s2, Apple AMLR license included)

asaadfish

15ca37

Add MobileCLIP S2 ONNX (text_model.onnx) for Windows auto-download (from Xenova/mobileclip_s2, Apple AMLR license included)

asaadfish

0b0ba1

text_detector: yolo26l-obb retrained on ds6 (california, 9,663 pages, 1.68M ghost-purged boxes). Gold val P .982 R .826 mAP50 .833 mAP50-95 .808; coverage recall @50% = 99.03%. Export: imgsz 1536, max_det=1000, end2end, output (1,1000,7). Prior version: lfs a340c0259dde082e (rollback via revision 9e300531484e).

asaadfish

9e3005

Upload ppocr_v6_cal/ppocrv6_dict.txt with huggingface_hub

asaadfish

fc8f0e

Add finetuned PP-OCRv6_medium_rec (number/symbol-augmented, fp32+LR-drop): general 0.986, numbers 95.1% (beats v5 0.935/93.1% on every pattern)

asaadfish

de939b

Add finetuned PP-OCRv6_medium_rec (number/symbol-augmented, fp32+LR-drop): general 0.986, numbers 95.1% (beats v5 0.935/93.1% on every pattern)

asaadfish

ffa9cf

Remove stale native CoreML .mlpackage (rec served as fine-tuned ONNX)