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[Fix] Fix preprocess_model_config for CIFAR dataset #1659

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merged 2 commits into from
Jan 18, 2023
+9 −7
Merged

[Fix] Fix preprocess_model_config for CIFAR dataset #1659

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0e5563f
fix cifar10 for mmcls
hanrui1sensetime Jan 16, 2023
3f95cd2
remove unnecessary code
hanrui1sensetime Jan 16, 2023
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27 changes: 20 additions & 7 deletions mmdeploy/codebase/mmcls/deploy/classification.py
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Original file line number Diff line number Diff line change
Expand Up @@ -62,14 +62,27 @@ def process_model_config(model_cfg: Config,
if cfg.test_pipeline[0]['type'] == 'LoadImageFromFile':
cfg.test_pipeline.pop(0)
# check whether input_shape is valid
if 'CIFAR' in cfg.dataset_type:
# cifar dataset needs input image (32, 32)
cfg.test_pipeline.insert(-1, dict(type='Resize', scale=(32, 32)))
if input_shape is not None:
if 'crop_size' in cfg.test_pipeline[2]:
crop_size = cfg.test_pipeline[2]['crop_size']
if tuple(input_shape) != (crop_size, crop_size):
logger = get_root_logger()
logger.warning(
f'`input shape` should be equal to `crop_size`: {crop_size},\
but given: {input_shape}')
for pipeline_component in cfg.test_pipeline:
if 'Crop' in pipeline_component['type']:
if 'crop_size' in pipeline_component:
crop_size = pipeline_component['crop_size']
if tuple(input_shape) != (crop_size, crop_size):
logger = get_root_logger()
logger.warning(
f'`input shape` should be equal to `crop_size`: {crop_size},\
but given: {input_shape}')
if 'Resize' in pipeline_component['type']:
if 'scale' in pipeline_component:
size = pipeline_component['scale']
if tuple(input_shape) != size:
logger = get_root_logger()
logger.warning(
f'`input shape` should be equal to `shape`: {size},\
but given: {input_shape}')
return cfg


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