Add dataset config for sizeRight credit card segmentation

Author: ZhimingNJ

configs/_base_/datasets/creditcard50k.py

@@ -0,0 +1,78 @@
+# dataset settings
+dataset_type = 'MyCreditCardDataset'
+data_root = 'C:/Users/zliu/Projects/FeetReferenceModel_Mask_RCNN/aetrex_module/data/dataset'
+img_norm_cfg = dict(
+    mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True)
+crop_size = (512, 512)
+train_pipeline = [
+    dict(type='LoadImageFromFile'),
+    dict(type='LoadAnnotations', reduce_zero_label=False),
+    dict(type='Resize', img_scale=(1024, 512), ratio_range=(0.5, 2.0)),
+    dict(type='RandomCrop', crop_size=crop_size, cat_max_ratio=0.75),
+    dict(type='RandomFlip', prob=0.5),
+    dict(type='PhotoMetricDistortion'),
+    dict(type='Normalize', **img_norm_cfg),
+    dict(type='Pad', size=crop_size, pad_val=0, seg_pad_val=255),
+    dict(type='DefaultFormatBundle'),
+    dict(type='Collect', keys=['img', 'gt_semantic_seg']),
+]
+test_pipeline = [
+    dict(type='LoadImageFromFile'),
+    dict(
+        type='MultiScaleFlipAug',
+        img_scale=(1024, 512),
+        # img_ratios=[0.5, 0.75, 1.0, 1.25, 1.5, 1.75],
+        flip=True,
+        transforms=[
+            dict(type='Resize', keep_ratio=True),
+            dict(type='RandomFlip'),
+            dict(type='Normalize', **img_norm_cfg),
+            dict(type='ImageToTensor', keys=['img']),
+            dict(type='Collect', keys=['img']),
+        ])
+]
+data = dict(
+    samples_per_gpu=2,
+    workers_per_gpu=2,
+    train=dict(
+        type=dataset_type,
+        data_root=data_root,
+        img_dir=[
+                 'russian_latest/training_card_Nov11/train/images',
+                 'russian_latest/additional_training_augment_credit_card_Dec17_430/train/images',
+                 'russian_latest/additional_training_credit_card_Dec17_430/train/images',
+                 'credit_card_data1/train/images',
+                 #'russian_latest/training_augment_card_Nov11/train/images',
+                 ],
+        ann_dir=[
+                 'russian_latest/training_card_Nov11/train/annotations',
+                 'russian_latest/additional_training_augment_credit_card_Dec17_430/train/annotations',
+                 'russian_latest/additional_training_credit_card_Dec17_430/train/annotations',
+                 'credit_card_data1/train/annotations',
+                 #'russian_latest/training_augment_card_Nov11/train/annotations',
+                 ],
+        pipeline=train_pipeline),
+    val=dict(
+        type=dataset_type,
+        data_root=data_root,
+        img_dir=[
+                 'russian_latest/training_card_Nov11/val/images',
+                 'russian_latest/additional_training_augment_credit_card_Dec17_430/val/images',
+                 'russian_latest/additional_training_credit_card_Dec17_430/val/images',
+                 'credit_card_data1/val/images',
+                 #'russian_latest/training_augment_card_Nov11/val/images',
+                 ],
+        ann_dir=[
+                 'russian_latest/training_card_Nov11/val/annotations',
+                 'russian_latest/additional_training_augment_credit_card_Dec17_430/val/annotations',
+                 'russian_latest/additional_training_credit_card_Dec17_430/val/annotations',
+                 'credit_card_data1/val/annotations',
+                 #'russian_latest/training_augment_card_Nov11/val/annotations',
+                 ],
+        pipeline=test_pipeline),
+    test=dict(
+        type=dataset_type,
+        data_root=data_root,
+        img_dir='my_test_images/images',
+        ann_dir='my_test_images/annotations',
+        pipeline=test_pipeline))