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_base_ = ['./base_static.py']
onnx_config = dict(input_shape=(640, 640))
backend_config = dict(
type='tensorrt',
common_config=dict(fp16_mode=True, max_workspace_size=1 << 30),
model_inputs=[
dict(
input_shapes=dict(
input=dict(
min_shape=[1, 3, 640, 640],
opt_shape=[1, 3, 640, 640],
max_shape=[1, 3, 640, 640])))
])
use_efficientnms = False # whether to replace TRTBatchedNMS plugin with EfficientNMS plugin # noqa E501
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