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Merge pull request #28816 from varun-jaiswal17:fix-flatten-onnx-axis-4x

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fix Flatten axis=rank bug
This commit is contained in:
Alexander Smorkalov
2026-04-17 09:10:28 +03:00
committed by GitHub
parent 934c0716d2 3215d7e6ea
commit fa2bb7358a
2 changed files with 36 additions and 5 deletions
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modules/dnn/src/onnx/onnx_importer.cpp
+35 -5
View File
@@ -2225,7 +2225,9 @@ void ONNXImporter::parseFlatten(LayerParams& layerParams, const opencv_onnx::Nod
{
constBlobsExtraInfo.insert(std::make_pair(node_proto.output(0), getBlobExtraInfo(node_proto, 0)));
}
int axis = normalize_axis(axis_, input.dims);
int axis = axis_;
if (axis < 0) axis += input.dims;
axis = std::max(0, std::min(axis, input.dims));
int out_size[2] = {1, 1};
for (int i = 0; i < axis; ++i)
@@ -2244,18 +2246,46 @@ void ONNXImporter::parseFlatten(LayerParams& layerParams, const opencv_onnx::Nod
IterShape_t shapeIt = outShapes.find(node_proto.input(0));
CV_Assert(shapeIt != outShapes.end());
MatShape inpShape = shapeIt->second;
int axis = normalize_axis(axis_, inpShape.size());
int axis = axis_;
if (axis < 0) axis += (int)inpShape.size();
axis = std::max(0, std::min(axis, (int)inpShape.size()));
if (axis == 0 || axis == inpShape.size())
if (axis == (int)inpShape.size())
{
LayerParams reshapeLp;
reshapeLp.name = layerParams.name + "/reshape";
reshapeLp.type = "Reshape";
CV_Assert(layer_id.find(reshapeLp.name) == layer_id.end());
inpShape.insert(axis == 0 ? inpShape.begin() : inpShape.end(), 1);
inpShape.push_back(1);
reshapeLp.set("dim", DictValue::arrayInt(&inpShape[0], inpShape.size()));
opencv_onnx::NodeProto proto;
proto.add_input(node_proto.input(0));
proto.add_output(reshapeLp.name);
addLayer(reshapeLp, proto);
LayerParams flatLp;
flatLp.name = layerParams.name + "/flatten";
flatLp.type = "Flatten";
CV_Assert(layer_id.find(flatLp.name) == layer_id.end());
flatLp.set("axis", 0);
flatLp.set("end_axis", (int)inpShape.size() - 2);
opencv_onnx::NodeProto proto2;
proto2.add_input(reshapeLp.name);
proto2.add_output(flatLp.name);
addLayer(flatLp, proto2);
layerParams.type = "Identity";
node_proto.set_input(0, flatLp.name);
addLayer(layerParams, node_proto);
return;
}
if (axis == 0)
{
LayerParams reshapeLp;
reshapeLp.name = layerParams.name + "/reshape";
reshapeLp.type = "Reshape";
CV_Assert(layer_id.find(reshapeLp.name) == layer_id.end());
inpShape.insert(inpShape.begin(), 1);
reshapeLp.set("dim", DictValue::arrayInt(&inpShape[0], inpShape.size()));
opencv_onnx::NodeProto proto;
proto.add_input(node_proto.input(0));
proto.add_output(reshapeLp.name);
modules/dnn/test/test_onnx_importer.cpp
+1
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@@ -1170,6 +1170,7 @@ TEST_P(Test_ONNX_layers, DynamicReshape)
testONNXModels("dynamic_reshape_opset_11");
testONNXModels("flatten_by_prod");
testONNXModels("flatten_const");
testONNXModels("flatten_axis_numaxes");
}
TEST_P(Test_ONNX_layers, Reshape)