@version 1
# OCR models. Each [model NAME] names the files it needs from this folder (fetch_models.jai
# downloads them) and how it is run; ocr_create takes the NAME. Changes apply to engines created
# after the file is saved.
#
#   title                                  shown to people
#   detector, recognizer, dictionary       file names, quoted
#   det_max_side      wider images are scaled down to this width for detection (px)
#   det_tile_height   taller images are detected in overlapping strips this high (px, after scaling)
#   det_threshold     a pixel is text when its probability is above this
#   box_threshold     a text region is kept when its mean probability is at least this
#   unclip_ratio      how far each region is grown, as DB detection networks expect
#   rec_height        each text line is scaled to this height for recognition (px)
#   rec_batch         text lines recognized together in one run

[model ppocr-v5-mobile]
title:           "PP-OCRv5 mobile (light)"
detector:        "ch_PP-OCRv5_det_mobile.onnx"
recognizer:      "ch_PP-OCRv5_rec_mobile.onnx"
dictionary:      "ppocrv5_dict.txt"
det_max_side:    2560
det_tile_height: 1536
det_threshold:   0.3
box_threshold:   0.6
unclip_ratio:    1.5
rec_height:      48
rec_batch:       16

[model ppocr-v5-server]
title:           "PP-OCRv5 server (heavy)"
detector:        "ch_PP-OCRv5_det_server.onnx"
recognizer:      "ch_PP-OCRv5_rec_server.onnx"
dictionary:      "ppocrv5_dict.txt"
det_max_side:    2560
det_tile_height: 1536
det_threshold:   0.3
box_threshold:   0.6
unclip_ratio:    1.5
rec_height:      48
rec_batch:       16