mmdeploy/configs/mmdet/detection/detection_rknn_static-320x3...

30 lines
924 B
Python

_base_ = ['../_base_/base_static.py', '../../_base_/backends/rknn.py']
onnx_config = dict(input_shape=[320, 320])
codebase_config = dict(model_type='rknn')
backend_config = dict(input_size_list=[[3, 320, 320]])
# yolov3, yolox
# partition_config = dict(
# type='rknn', # the partition policy name
# apply_marks=True, # should always be set to True
# partition_cfg=[
# dict(
# save_file='model.onnx', # name to save the partitioned onnx
# start=['detector_forward:input'], # [mark_name:input, ...]
# end=['yolo_head:input']) # [mark_name:output, ...]
# ])
# # retinanet, ssd, fsaf
# partition_config = dict(
# type='rknn', # the partition policy name
# apply_marks=True,
# partition_cfg=[
# dict(
# save_file='model.onnx',
# start='detector_forward:input',
# end=['BaseDenseHead:output'])
# ])