mmdeploy/configs/mmcls/classification_rknn-int8_static-224x224.py

_base_ = ['./classification_static.py', '../_base_/backends/rknn.py']

onnx_config = dict(input_shape=[224, 224])
codebase_config = dict(model_type='end2end')
backend_config = dict(input_size_list=[[3, 224, 224]])
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_ = ['./classification_static.py', '../_base_/backends/rknn.py']`

			`onnx_config = dict(input_shape=[224, 224])`
Add YOLOv5 support for RV1126 device. (#1321) * support pose simcc * fix yolov5 create_input * add yolov5 post process and update mmcls.yml * add letter resize * add yolov5 export info * fix * add pose face config * pick 4dd4d4851bcc381da3e44098a2ff3d1ff6b5f1d9 * fix yolov5 head * fix ut * refactor mmpose config * pass output_names outside * rknn batch size * lint * add input names to wrapper * update according to https://github.com/open-mmlab/mmyolo/pull/305 * add pre_compile option * update doc and fix typo * fix padding * fix typo * use throw_exception 2022-12-16 17:05:24 +08:00			`codebase_config = dict(model_type='end2end')`
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			`backend_config = dict(input_size_list=[[3, 224, 224]])`