Upload best weights for ppocr_v5_mobile

.gitattributes

@@ -33,3 +33,5 @@ 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.pdopt filter=lfs diff=lfs merge=lfs -text
+best_accuracy.pdparams filter=lfs diff=lfs merge=lfs -text

best_accuracy.pdopt

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+size 28384437

best_accuracy.pdparams

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+version https://git-lfs.github.com/spec/v1
+oid sha256:0e552564b773fba2db680611396dc698020d885b79fd8e794a42ca68f8ff4c71
+size 14381327

config.yml

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+Global:
+  model_name: PP-OCRv5_mobile_det
+  debug: false
+  use_gpu: true
+  epoch_num: 10
+  log_smooth_window: 20
+  print_batch_step: 100
+  save_model_dir: ./output/PP-OCRv5_mobile_det
+  save_epoch_step: 1
+  eval_batch_step:
+  - 0
+  - 58
+  cal_metric_during_train: false
+  checkpoints: null
+  pretrained_model: ./PP-OCRv5_mobile_det_pretrained.pdparams
+  save_inference_dir: null
+  use_visualdl: false
+  infer_img: doc/imgs_en/img_10.jpg
+  save_res_path: ./checkpoints/det_db/predicts_db.txt
+  d2s_train_image_shape:
+  - 3
+  - 640
+  - 640
+  distributed: true
+Architecture:
+  model_type: det
+  algorithm: DB
+  Transform: null
+  Backbone:
+    name: PPLCNetV3
+    scale: 0.75
+    det: true
+  Neck:
+    name: RSEFPN
+    out_channels: 96
+    shortcut: true
+  Head:
+    name: DBHead
+    k: 50
+    fix_nan: true
+Loss:
+  name: DBLoss
+  balance_loss: true
+  main_loss_type: DiceLoss
+  alpha: 5
+  beta: 10
+  ohem_ratio: 3
+Optimizer:
+  name: Adam
+  beta1: 0.9
+  beta2: 0.999
+  lr:
+    name: Cosine
+    learning_rate: 0.0007
+    warmup_epoch: 1
+  regularizer:
+    name: L2
+    factor: 5.0e-05
+PostProcess:
+  name: DBPostProcess
+  thresh: 0.3
+  box_thresh: 0.6
+  max_candidates: 1000
+  unclip_ratio: 1.5
+Metric:
+  name: DetMetric
+  main_indicator: hmean
+Train:
+  dataset:
+    name: SimpleDataSet
+    data_dir: /content/license_plate_detc_dataset
+    label_file_list:
+    - /content/license_plate_detc_dataset/formatted/train.txt
+    ratio_list:
+    - 1.0
+    transforms:
+    - DecodeImage:
+        img_mode: BGR
+        channel_first: false
+    - DetLabelEncode: null
+    - CopyPaste: null
+    - IaaAugment:
+        augmenter_args:
+        - type: Fliplr
+          args:
+            p: 0.5
+        - type: Affine
+          args:
+            rotate:
+            - -10
+            - 10
+        - type: Resize
+          args:
+            size:
+            - 0.5
+            - 3
+    - EastRandomCropData:
+        size:
+        - 640
+        - 640
+        max_tries: 50
+        keep_ratio: true
+    - MakeBorderMap:
+        shrink_ratio: 0.4
+        thresh_min: 0.3
+        thresh_max: 0.7
+        total_epoch: 500
+    - MakeShrinkMap:
+        shrink_ratio: 0.4
+        min_text_size: 8
+        total_epoch: 500
+    - NormalizeImage:
+        scale: 1./255.
+        mean:
+        - 0.485
+        - 0.456
+        - 0.406
+        std:
+        - 0.229
+        - 0.224
+        - 0.225
+        order: hwc
+    - ToCHWImage: null
+    - KeepKeys:
+        keep_keys:
+        - image
+        - threshold_map
+        - threshold_mask
+        - shrink_map
+        - shrink_mask
+  loader:
+    shuffle: true
+    drop_last: false
+    batch_size_per_card: 6
+    num_workers: 8
+Eval:
+  dataset:
+    name: SimpleDataSet
+    data_dir: /content/license_plate_detc_dataset
+    label_file_list:
+    - /content/license_plate_detc_dataset/formatted/val.txt
+    transforms:
+    - DecodeImage:
+        img_mode: BGR
+        channel_first: false
+    - DetLabelEncode: null
+    - DetResizeForTest: null
+    - NormalizeImage:
+        scale: 1./255.
+        mean:
+        - 0.485
+        - 0.456
+        - 0.406
+        std:
+        - 0.229
+        - 0.224
+        - 0.225
+        order: hwc
+    - ToCHWImage: null
+    - KeepKeys:
+        keep_keys:
+        - image
+        - shape
+        - polys
+        - ignore_tags
+  loader:
+    shuffle: false
+    drop_last: false
+    batch_size_per_card: 1
+    num_workers: 0
+profiler_options: null

run_summary.json

@@ -0,0 +1,7 @@
+{
+  "model_choice": "ppocr_v5_mobile",
+  "framework": "PaddleOCR",
+  "config": "configs/det/PP-OCRv5/PP-OCRv5_mobile_det.yml",
+  "epochs": 10,
+  "dataset_root": "/content/license_plate_detc_dataset"
+}