mmdeploy/configs/mmseg/segmentation_rknn-int8_static-320x320.py

_base_ = ['./segmentation_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]])
Add RKNN support. (#865) * save codes * support resnet and yolov3 * support yolox * fix lint * add mmseg support and a doc * add UT * update supported model list * fix ci * refine docstring * resolve comments * remote output_tensor_type * resolve comments * update readme 2022-09-06 11:48:39 +08:00			`_base_ = ['./segmentation_static.py', '../_base_/backends/rknn.py']`

Add model conversion support to rv1126 (#1203) * WIP * fix interpolate * support yolov3 and retinanet * support seg * support ssd * supports both partition types for retinanet and ssd * mean std doc * update doc, add UT * support FSAF * rename configs * update dump info * update * python package installation doc * update doc * update doc * doc 2022-11-02 11:04:22 +08:00			`onnx_config = dict(input_shape=[320, 320])`
Add RKNN support. (#865) * save codes * support resnet and yolov3 * support yolox * fix lint * add mmseg support and a doc * add UT * update supported model list * fix ci * refine docstring * resolve comments * remote output_tensor_type * resolve comments * update readme 2022-09-06 11:48:39 +08:00
			`codebase_config = dict(model_type='rknn')`

Add model conversion support to rv1126 (#1203) * WIP * fix interpolate * support yolov3 and retinanet * support seg * support ssd * supports both partition types for retinanet and ssd * mean std doc * update doc, add UT * support FSAF * rename configs * update dump info * update * python package installation doc * update doc * update doc * doc 2022-11-02 11:04:22 +08:00			`backend_config = dict(input_size_list=[[3, 320, 320]])`