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.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+best_accuracy.pdparams filter=lfs diff=lfs merge=lfs -text

best_accuracy.pdparams

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:337d323d250022b2802df310419824fcc96958e53f30f67a13acbd4f7ebfbfe8
+size 29587507

config.yml

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+
+Global:
+  use_gpu: false
+  epoch_num: 50
+  log_smooth_window: 20
+  print_batch_step: 10
+  save_model_dir: /content/paddleocr_kabyle/output/rec_kabyle
+  save_epoch_step: 5
+  eval_batch_step: [0, 200]
+  cal_metric_during_train: true
+  character_dict_path: /content/paddleocr_kabyle/PaddleOCR/ppocr/utils/kab_dict.txt
+  max_text_length: 25
+  infer_mode: false
+  use_space_char: true
+  distributed: false
+
+Optimizer:
+  name: Adam
+  lr:
+    name: Cosine
+    learning_rate: 0.001
+    warmup_epoch: 3
+  regularizer:
+    name: L2
+    factor: 3e-5
+
+Architecture:
+  model_type: rec
+  algorithm: CRNN
+
+  Transform:
+
+  Backbone:
+    name: MobileNetV1Enhance
+    scale: 0.5
+
+  Neck:
+    name: SequenceEncoder
+    encoder_type: rnn
+    hidden_size: 256
+
+  Head:
+    name: CTCHead
+
+Loss:
+  name: CTCLoss
+
+PostProcess:
+  name: CTCLabelDecode
+
+Metric:
+  name: RecMetric
+  main_indicator: acc
+
+Train:
+  dataset:
+    name: SimpleDataSet
+    data_dir: /content/paddleocr_kabyle/train_data
+    label_file_list: ["/content/paddleocr_kabyle/train_data/rec_gt_train.txt"]
+    transforms:
+      - DecodeImage:
+          img_mode: BGR
+      - CTCLabelEncode:
+      - RecResizeImg:
+          image_shape: [3, 48, 480]
+      - KeepKeys:
+          keep_keys: ["image", "label", "length"]
+  loader:
+    shuffle: true
+    batch_size_per_card: 16
+    drop_last: true
+    num_workers: 0
+
+Eval:
+  dataset:
+    name: SimpleDataSet
+    data_dir: /content/paddleocr_kabyle/train_data
+    label_file_list: ["/content/paddleocr_kabyle/train_data/rec_gt_val.txt"]
+    transforms:
+      - DecodeImage:
+          img_mode: BGR
+      - CTCLabelEncode:
+      - RecResizeImg:
+          image_shape: [3, 48, 480]
+      - KeepKeys:
+          keep_keys: ["image", "label", "length"]
+  loader:
+    shuffle: false
+    batch_size_per_card: 16
+    drop_last: false
+    num_workers: 0

inference.yml

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+PreProcess:
+  transform_ops:
+  - DecodeImage:
+      img_mode: BGR
+  - CTCLabelEncode: null
+  - RecResizeImg:
+      image_shape:
+      - 3
+      - 48
+      - 480
+  - KeepKeys:
+      keep_keys:
+      - image
+      - label
+      - length
+PostProcess:
+  name: CTCLabelDecode
+  character_dict:
+  - a
+  - e
+  - n
+  - c
+  - h
+  - _
+  - i
+  - m
+  - g
+  - /
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+  - v
+  - l
+  - t
+  - w
+  - o
+  - d
+  - č
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+  - ṣ
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+  - '6'
+  - '1'
+  - .
+  - p
+  - B
+  - u
+  - '2'
+  - '3'
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+  - '9'
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+  - Č
+  - X
+  - Ḥ
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+  - ':'
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+  - Ẓ
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+  - z
+  - W
+  - Ḍ
+  - k
+  - q
+  - j
+  - '"'
+  - ','
+  - '%'
+  - '?'
+  - '!'
+  - ;
+  - (
+  - )
+  - +
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+  - '&'
+  - '@'
+  - «
+  - »
+  - $
+  - '#'
+  - °
+  - €
+  - ™
+  - ‰
+  - ⋅

kab_dict.txt

@@ -0,0 +1,109 @@
+a
+e
+n
+c
+h
+_
+i
+m
+g
+/
+r
+v
+l
+t
+w
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+d
+č
+ḍ
+ɛ
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+ḥ
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+ṣ
+ṭ
+ẓ
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+1
+.
+p
+B
+u
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+3
+R
+y
+4
+U
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+A
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+O
+S
+T
+D
+7
+Z
+8
+I
+N
+L
+G
+M
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+0
+J
+K
+-
+9
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+Č
+X
+Ḥ
+Ṛ
+s
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+Q
+:
+Ṭ
+Ẓ
+Ɛ
+x
+b
+Y
+Ǧ
+Ɣ
+z
+W
+Ḍ
+k
+q
+j
+"
+,
+%
+?
+!
+;
+(
+)
++
+<
+[
+]
+&
+@
+«
+»
+$
+#
+°
+€
+™
+‰
+⋅