From 85a11cfc19e8c2d826aa153debc01576ed5ebef9 Mon Sep 17 00:00:00 2001 From: ktro2828 Date: Fri, 22 Sep 2023 18:00:26 +0900 Subject: [PATCH] docs: update documents Signed-off-by: ktro2828 --- ...ms.svg => roi_cluster_fusion_pipeline.svg} | 196 +++++++++--------- .../docs/roi-cluster-fusion.md | 6 +- 2 files changed, 101 insertions(+), 101 deletions(-) rename perception/image_projection_based_fusion/docs/images/{roi_cluster_fusion_params.svg => roi_cluster_fusion_pipeline.svg} (82%) diff --git a/perception/image_projection_based_fusion/docs/images/roi_cluster_fusion_params.svg b/perception/image_projection_based_fusion/docs/images/roi_cluster_fusion_pipeline.svg similarity index 82% rename from perception/image_projection_based_fusion/docs/images/roi_cluster_fusion_params.svg rename to perception/image_projection_based_fusion/docs/images/roi_cluster_fusion_pipeline.svg index 603dc6807082e..aaadfaf186dd2 100644 --- a/perception/image_projection_based_fusion/docs/images/roi_cluster_fusion_params.svg +++ b/perception/image_projection_based_fusion/docs/images/roi_cluster_fusion_pipeline.svg @@ -8,45 +8,69 @@ width="1680px" height="970px" viewBox="-0.5 -0.5 1680 970" - content="<mxfile host="app.diagrams.net" modified="2023-09-12T13:40:23.282Z" agent="Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/116.0.0.0 Safari/537.36" etag="FWvtb0aLgxhX_0HQf0nn" version="21.7.0" type="google"><diagram name="Page-1" id="FLOA4M6UGa_QoeRYgYDe">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</diagram></mxfile>" + content="<mxfile host="app.diagrams.net" modified="2023-09-22T08:56:48.600Z" agent="Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/117.0.0.0 Safari/537.36" etag="Ofs7qYSProiYeU6I9a5x" version="21.8.0" type="google"><diagram name="Page-1" id="FLOA4M6UGa_QoeRYgYDe">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</diagram></mxfile>" style="background-color: rgb(255, 255, 255);" > - +
-
+
- use_iou + + Check whether + the cluster RoI (inner) + is fully contained within + the scaled detected RoI (outer) + . +
+
+ *NOTE* +
+ Because the cluster RoI is calculated with the points projected on the image, our recommended scale factor is [1.1, 1.5] . +
+ Otherwise, set + only_allow_inside_cluster + to + False + . +
+
- use_iou + Check whether the cluster RoI (inner) is fully contained within the scaled... - +
- roi_scale_factor + use_iou
- roi_scale_factor + use_iou
@@ -88,15 +112,15 @@ use_iou_x /  y - - - + + +
@@ -105,7 +129,7 @@
- only_allow_inside_cluster + only_allow_inside_cluster @@ -128,8 +152,8 @@ - - + + @@ -148,8 +172,8 @@ Is UNKNOWN object? - - + + @@ -172,12 +196,12 @@ - - - - - - + + + + + + @@ -196,12 +220,12 @@ IoU Score - + - - + + @@ -209,17 +233,17 @@ - - - - - + + + + +
@@ -228,11 +252,9 @@
- Is Cluster RoI inside Detected RoI? + Is Cluster RoI inside Detected RoI? - - @@ -275,8 +297,8 @@ - - + + @@ -295,55 +317,13 @@ Fusion Target Cluster... - - - - -
-
-
- - Check whether - the cluster RoI (inner) - is fully contained within - the scaled detected RoI (outer) - . -
-
- *NOTE* -
- Because the cluster RoI is calculated with the points projected on the image, our recommended scale factor is [1.1, 1.5] . -
- Otherwise, set - only_allow_inside_cluster - to - False - . -
-
-
-
-
-
- Check whether the cluster RoI (inner) is fully contained within the scaled... -
-
- +
@@ -352,16 +332,16 @@
- Unfused Cluster + Unfused Cluster - - - - - - - + + + + + + + @@ -769,12 +749,12 @@ - - + + - - + + @@ -795,6 +775,24 @@ Input Cluster + + + + +
+
+
+ roi_scale_factor +
+
+
+
+ roi_scale_factor +
+
@@ -950,12 +948,14 @@ Output Fused Cluster - + - - + + + + diff --git a/perception/image_projection_based_fusion/docs/roi-cluster-fusion.md b/perception/image_projection_based_fusion/docs/roi-cluster-fusion.md index 796fb504a2df6..da006624f8a8f 100644 --- a/perception/image_projection_based_fusion/docs/roi-cluster-fusion.md +++ b/perception/image_projection_based_fusion/docs/roi-cluster-fusion.md @@ -30,10 +30,10 @@ The clusters are projected onto image planes, and then if the ROIs of clusters a ## Parameters -The following figure is an inner pipeline of RoI cluster fusion node. -Please refer to it when you want to optimize parameters. +The following figure is an inner pipeline overview of RoI cluster fusion node. +Please refer to it for your parameter settings. -![roi_cluster_fusion_params](./images/roi_cluster_fusion_params.svg) +![roi_cluster_fusion_pipeline](./images/roi_cluster_fusion_pipeline.svg) ### Core Parameters