add config module

configs/mmseg/segmentation_coreml_static-512x1024.py

+_base_ = [
+    '../_base_/torchscript_config.py', '../_base_/backends/coreml.py',
+    './segmentation_static.py'
+]
+
+ir_config = dict(input_shape=[1024, 512])
+backend_config = dict(model_inputs=[
+    dict(
+        input_shapes=dict(
+            input=dict(
+                min_shape=[1, 3, 512, 1024],
+                max_shape=[1, 3, 512, 1024],
+                default_shape=[1, 3, 512, 1024])))
+])

configs/mmseg/segmentation_dynamic.py

+_base_ = ['./segmentation_static.py']
+onnx_config = dict(
+    dynamic_axes={
+        'input': {
+            0: 'batch',
+            2: 'height',
+            3: 'width'
+        },
+        'output': {
+            0: 'batch',
+            2: 'height',
+            3: 'width'
+        },
+    }, )

configs/mmseg/segmentation_ncnn_static-1024x2048.py

+_base_ = ['./segmentation_static.py', '../_base_/backends/ncnn.py']
+
+onnx_config = dict(input_shape=[2048, 1024])

configs/mmseg/segmentation_ncnn_static-512x512.py

+_base_ = ['./segmentation_static.py', '../_base_/backends/ncnn.py']
+
+onnx_config = dict(input_shape=[512, 512])

configs/mmseg/segmentation_onnxruntime-fp16_dynamic.py

+_base_ = [
+    './segmentation_dynamic.py', '../_base_/backends/onnxruntime-fp16.py'
+]

configs/mmseg/segmentation_onnxruntime_dynamic.py

+_base_ = ['./segmentation_dynamic.py', '../_base_/backends/onnxruntime.py']

configs/mmseg/segmentation_onnxruntime_static-1024x2048.py

+_base_ = ['./segmentation_static.py', '../_base_/backends/onnxruntime.py']
+
+onnx_config = dict(input_shape=[2048, 1024])

configs/mmseg/segmentation_onnxruntime_static-512x512.py

+_base_ = ['./segmentation_static.py', '../_base_/backends/onnxruntime.py']
+
+onnx_config = dict(input_shape=[512, 512])

configs/mmseg/segmentation_openvino_dynamic-1024x2048.py

+_base_ = ['./segmentation_dynamic.py', '../_base_/backends/openvino.py']
+
+backend_config = dict(
+    model_inputs=[dict(opt_shapes=dict(input=[1, 3, 1024, 2048]))])

configs/mmseg/segmentation_openvino_static-1024x2048.py

+_base_ = ['./segmentation_static.py', '../_base_/backends/openvino.py']
+onnx_config = dict(input_shape=[2048, 1024])
+backend_config = dict(
+    model_inputs=[dict(opt_shapes=dict(input=[1, 3, 1024, 2048]))])

configs/mmseg/segmentation_openvino_static-512x512.py

+_base_ = ['./segmentation_static.py', '../_base_/backends/openvino.py']
+onnx_config = dict(input_shape=[512, 512])
+backend_config = dict(
+    model_inputs=[dict(opt_shapes=dict(input=[1, 3, 512, 512]))])

configs/mmseg/segmentation_pplnn_dynamic-1024x2048.py

+_base_ = ['./segmentation_dynamic.py', '../_base_/backends/pplnn.py']
+
+onnx_config = dict(input_shape=[2048, 1024])
+
+backend_config = dict(model_inputs=dict(opt_shape=[1, 3, 1024, 2048]))

configs/mmseg/segmentation_pplnn_dynamic-512x1024.py

+_base_ = ['./segmentation_dynamic.py', '../_base_/backends/pplnn.py']
+
+onnx_config = dict(input_shape=None)
+
+backend_config = dict(model_inputs=dict(opt_shape=[1, 3, 512, 1024]))

configs/mmseg/segmentation_pplnn_static-1024x2048.py

+_base_ = ['./segmentation_static.py', '../_base_/backends/pplnn.py']
+
+onnx_config = dict(input_shape=[2048, 1024])
+
+backend_config = dict(model_inputs=dict(opt_shape=[1, 3, 1024, 2048]))

configs/mmseg/segmentation_pplnn_static-512x1024.py

+_base_ = ['./segmentation_static.py', '../_base_/backends/pplnn.py']
+
+onnx_config = dict(input_shape=[1024, 512])
+
+backend_config = dict(model_inputs=dict(opt_shape=[1, 3, 512, 1024]))

configs/mmseg/segmentation_rknn-fp16_static-320x320.py

+_base_ = ['./segmentation_static.py', '../_base_/backends/rknn.py']
+
+onnx_config = dict(input_shape=[320, 320])
+
+codebase_config = dict(with_argmax=False)
+
+backend_config = dict(
+    input_size_list=[[3, 320, 320]],
+    quantization_config=dict(do_quantization=False))

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(with_argmax=False)
+
+backend_config = dict(input_size_list=[[3, 320, 320]])

configs/mmseg/segmentation_sdk_dynamic.py

+_base_ = ['./segmentation_dynamic.py', '../_base_/backends/sdk.py']
+
+codebase_config = dict(model_type='sdk')
+
+backend_config = dict(pipeline=[
+    dict(type='LoadImageFromFile'),
+    dict(type='LoadAnnotations'),
+    dict(
+        type='PackSegInputs', meta_keys=['img_path', 'ori_shape', 'img_shape'])
+])

configs/mmseg/segmentation_snpe_static-512x1024.py

+_base_ = ['./segmentation_static.py', '../_base_/backends/snpe.py']
+
+onnx_config = dict(input_shape=[1024, 512])

configs/mmseg/segmentation_static.py

+_base_ = ['../_base_/onnx_config.py']
+codebase_config = dict(type='mmseg', task='Segmentation', with_argmax=True)