fix ut and text_det create_input (#1756)

mmdeploy/codebase/mmocr/deploy/text_detection.py

@@ -31,6 +31,9 @@ def process_model_config(model_cfg: mmengine.Config,
         mmengine.Config: the model config after processing.
     """
     pipeline = model_cfg.test_dataloader.dataset.pipeline
+    if isinstance(imgs[0], np.ndarray):
+        # set loading pipeline type
+        pipeline[0].type = 'LoadImageFromNDArray'
 
     for i, transform in enumerate(pipeline):
         if transform.type == 'PackTextDetInputs':

tests/test_codebase/test_mmocr/data/crnn.py

@@ -54,6 +54,10 @@ total_epochs = 5
 img_norm_cfg = dict(mean=[127], std=[127])
 
 test_pipeline = [
+    dict(
+        type='LoadImageFromFile',
+        color_type='grayscale',
+        file_client_args=dict(backend='disk')),
     dict(
         type='RescaleToHeight',
         height=32,

tests/test_codebase/test_mmocr/data/dbnet.py

@@ -31,6 +31,10 @@ img_norm_cfg = dict(
     mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True)
 
 test_pipeline = [
+    dict(
+        type='LoadImageFromFile',
+        file_client_args=dict(backend='disk'),
+        color_type='color_ignore_orientation'),
     dict(
         type='PackTextDetInputs',
         meta_keys=('img_path', 'ori_shape', 'img_shape', 'scale_factor'))
@@ -53,6 +57,10 @@ test_dataloader = dict(
                 pipeline=None)
         ],
         pipeline=[
+            dict(
+                type='LoadImageFromFile',
+                file_client_args=dict(backend='disk'),
+                color_type='color_ignore_orientation'),
             dict(type='Resize', scale=(1333, 736), keep_ratio=True),
             dict(
                 type='mmocr.PackTextDetInputs',