@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
#   textline_ori      optional: a text line orientation classifier's file name, quoted; lines it
#                     finds upside down are read both ways and the more confident reading kept
#   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_gpu     text lines recognized together in one run, on the GPU
#   rec_batch_cpu     the same on the CPU, where one at a time is fastest: a batch is padded to its
#                     widest line, and the padding costs time and changes what is read a little

[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"
textline_ori:    "ch_PP-LCNet_x0_25_textline_ori_cls_mobile.onnx"
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_gpu:   16
rec_batch_cpu:   1

[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"
textline_ori:    "ch_PP-LCNet_x0_25_textline_ori_cls_mobile.onnx"
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_gpu:   8
rec_batch_cpu:   1