Organize RKNN models by Toolkit2 version

.gitattributes

@@ -93,3 +93,63 @@ models/segment/yolov8s-seg/rk3576/fp16/model.rknn filter=lfs diff=lfs merge=lfs
 models/segment/yolov8s-seg/rk3576/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
 models/segment/yolov8s-seg/rk3588/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
 models/segment/yolov8s-seg/rk3588/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/classify/yolov8m-cls/rk3576/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/classify/yolov8m-cls/rk3576/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/classify/yolov8m-cls/rk3588/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/classify/yolov8m-cls/rk3588/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/classify/yolov8n-cls/rk3576/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/classify/yolov8n-cls/rk3576/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/classify/yolov8n-cls/rk3588/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/classify/yolov8n-cls/rk3588/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/classify/yolov8s-cls/rk3576/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/classify/yolov8s-cls/rk3576/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/classify/yolov8s-cls/rk3588/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/classify/yolov8s-cls/rk3588/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/detect/yolov8m/rk3576/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/detect/yolov8m/rk3576/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/detect/yolov8m/rk3588/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/detect/yolov8m/rk3588/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/detect/yolov8n/rk3576/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/detect/yolov8n/rk3576/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/detect/yolov8n/rk3588/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/detect/yolov8n/rk3588/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/detect/yolov8s/rk3576/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/detect/yolov8s/rk3576/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/detect/yolov8s/rk3588/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/detect/yolov8s/rk3588/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/obb/yolov8m-obb/rk3576/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/obb/yolov8m-obb/rk3576/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/obb/yolov8m-obb/rk3588/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/obb/yolov8m-obb/rk3588/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/obb/yolov8n-obb/rk3576/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/obb/yolov8n-obb/rk3576/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/obb/yolov8n-obb/rk3588/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/obb/yolov8n-obb/rk3588/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/obb/yolov8s-obb/rk3576/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/obb/yolov8s-obb/rk3576/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/obb/yolov8s-obb/rk3588/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/obb/yolov8s-obb/rk3588/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/pose/yolov8m-pose/rk3576/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/pose/yolov8m-pose/rk3576/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/pose/yolov8m-pose/rk3588/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/pose/yolov8m-pose/rk3588/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/pose/yolov8n-pose/rk3576/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/pose/yolov8n-pose/rk3576/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/pose/yolov8n-pose/rk3588/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/pose/yolov8n-pose/rk3588/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/pose/yolov8s-pose/rk3576/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/pose/yolov8s-pose/rk3576/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/pose/yolov8s-pose/rk3588/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/pose/yolov8s-pose/rk3588/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/segment/yolov8m-seg/rk3576/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/segment/yolov8m-seg/rk3576/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/segment/yolov8m-seg/rk3588/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/segment/yolov8m-seg/rk3588/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/segment/yolov8n-seg/rk3576/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/segment/yolov8n-seg/rk3576/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/segment/yolov8n-seg/rk3588/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/segment/yolov8n-seg/rk3588/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/segment/yolov8s-seg/rk3576/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/segment/yolov8s-seg/rk3576/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/segment/yolov8s-seg/rk3588/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/segment/yolov8s-seg/rk3588/int8/model.rknn filter=lfs diff=lfs merge=lfs -text

README.md

@@ -15,7 +15,7 @@ Converted with RKNN Toolkit2 2.3.2.
 
 Available tasks: detect, classify, obb, pose, segment.
 
-Download `model.rknn` and `metadata.yaml` from the same folder under `models/<task>/<variant>/<chip>/<precision>/`.
+Download `model.rknn` and `metadata.yaml` from the same folder under `models/<toolkit-version>/<task>/<variant>/<chip>/<precision>/`.
 
 The manifest records model and metadata checksums. Original checkpoints, conversion scripts, and their provenance are in `source/`.
 
@@ -25,3 +25,5 @@ Detection includes the n, s, and m sizes in FP16 and INT8 for both chips.
 The checkpoints were exported with Rockchip's RKOPT detector head and
 compiled with the Model Zoo converter. The exact checkpoint URLs, exporter
 commits, scripts, and ONNX graphs are under `source/`.
+
+Models are organized by RKNN Toolkit2 version under `models/v<version>/`. Each model and its metadata share a folder.

manifest.json

@@ -5,11 +5,12 @@
     "task": "classify",
     "chip": "rk3576",
     "precision": "fp16",
-    "path": "models/classify/yolov8m-cls/rk3576/fp16",
+    "path": "models/v2.3.2/classify/yolov8m-cls/rk3576/fp16",
     "weights": "source/weights/yolov8m-cls.pt",
     "sha256": "8e5f59d6a4ba4af79aa3124f4011c438888082ad63e5a21d38fe6e80f71e0b6d",
     "metadata_sha256": "a70e073f414cc9de6384de06eeb740b9b158b4a19c81ec7dbfd2bbcdb4efac77",
-    "conversion": "custom"
+    "conversion": "custom",
+    "toolkit_version": "2.3.2"
   },
   {
     "name": "yolov8m-cls",
@@ -17,11 +18,12 @@
     "task": "classify",
     "chip": "rk3576",
     "precision": "int8",
-    "path": "models/classify/yolov8m-cls/rk3576/int8",
+    "path": "models/v2.3.2/classify/yolov8m-cls/rk3576/int8",
     "weights": "source/weights/yolov8m-cls.pt",
     "sha256": "4627b7efc88dbad44dd2809c25d7f119d79f445e87c3715915d4c61f78beba41",
     "metadata_sha256": "f04943729f8c85be169f82592408bec51a06e9f140297bde44f9b9072c884721",
-    "conversion": "custom"
+    "conversion": "custom",
+    "toolkit_version": "2.3.2"
   },
   {
     "name": "yolov8n-cls",
@@ -29,11 +31,12 @@
     "task": "classify",
     "chip": "rk3576",
     "precision": "fp16",
-    "path": "models/classify/yolov8n-cls/rk3576/fp16",
+    "path": "models/v2.3.2/classify/yolov8n-cls/rk3576/fp16",
     "weights": "source/weights/yolov8n-cls.pt",
     "sha256": "468f585137ee994e659fa86ec6667407f2aa0267b319d14fb96df066ba3723d1",
     "metadata_sha256": "e093f37b783e50d17e590bd85d25744e28c60acebf0d0eda009da383e6c3202c",
-    "conversion": "custom"
+    "conversion": "custom",
+    "toolkit_version": "2.3.2"
   },
   {
     "name": "yolov8n-cls",
@@ -41,11 +44,12 @@
     "task": "classify",
     "chip": "rk3576",
     "precision": "int8",
-    "path": "models/classify/yolov8n-cls/rk3576/int8",
+    "path": "models/v2.3.2/classify/yolov8n-cls/rk3576/int8",
     "weights": "source/weights/yolov8n-cls.pt",
     "sha256": "17d23dd2d14413fb9e1165ad4eaabd0051cd91a19e005919eb3514eaded82d9c",
     "metadata_sha256": "747f0ba0585d6feb25aad94369ca1e07a9ce57dacfbe94cfd181cf52e8dc3379",
-    "conversion": "custom"
+    "conversion": "custom",
+    "toolkit_version": "2.3.2"
   },
   {
     "name": "yolov8s-cls",
@@ -53,11 +57,12 @@
     "task": "classify",
     "chip": "rk3576",
     "precision": "fp16",
-    "path": "models/classify/yolov8s-cls/rk3576/fp16",
+    "path": "models/v2.3.2/classify/yolov8s-cls/rk3576/fp16",
     "weights": "source/weights/yolov8s-cls.pt",
     "sha256": "9330b5945661ec3cac18b1d0cf84b2af8925c22b31ac95876b37c729801221c9",
     "metadata_sha256": "4563edacbcc70313db7e6509ca100573964ad2298080c41f8bca89df1c9707d4",
-    "conversion": "custom"
+    "conversion": "custom",
+    "toolkit_version": "2.3.2"
   },
   {
     "name": "yolov8s-cls",
@@ -65,11 +70,12 @@
     "task": "classify",
     "chip": "rk3576",
     "precision": "int8",
-    "path": "models/classify/yolov8s-cls/rk3576/int8",
+    "path": "models/v2.3.2/classify/yolov8s-cls/rk3576/int8",
     "weights": "source/weights/yolov8s-cls.pt",
     "sha256": "38b000621ef354ec9c7935243242d3d5ff2ae658cedd278013b3d3fdd5da395b",
     "metadata_sha256": "1a0a7ce4aea6b74b3eed93189a6728eeeae45d56de603b8c5df1a43877ea6961",
-    "conversion": "custom"
+    "conversion": "custom",
+    "toolkit_version": "2.3.2"
   },
   {
     "name": "yolov8m-cls",
@@ -77,11 +83,12 @@
     "task": "classify",
     "chip": "rk3588",
     "precision": "fp16",
-    "path": "models/classify/yolov8m-cls/rk3588/fp16",
+    "path": "models/v2.3.2/classify/yolov8m-cls/rk3588/fp16",
     "weights": "source/weights/yolov8m-cls.pt",
     "sha256": "f2547a0fdbe17e4753241fc59445649296d1f71212b74b96411eee9be85dfe02",
     "metadata_sha256": "79e6cad93b18289803436ac259897758d8f67407adea4dff6d072d0e5371c560",
-    "conversion": "custom"
+    "conversion": "custom",
+    "toolkit_version": "2.3.2"
   },
   {
     "name": "yolov8m-cls",
@@ -89,11 +96,12 @@
     "task": "classify",
     "chip": "rk3588",
     "precision": "int8",
-    "path": "models/classify/yolov8m-cls/rk3588/int8",
+    "path": "models/v2.3.2/classify/yolov8m-cls/rk3588/int8",
     "weights": "source/weights/yolov8m-cls.pt",
     "sha256": "86cc2d2aa1cc4a004442cf238e6e166433f4be17d50e3f34b7c0ddc37a9eda75",
     "metadata_sha256": "90e5b5aeb1227a0c98be0b2ce4dc1570cf816c2edd3688ba7b5675e86117c3be",
-    "conversion": "custom"
+    "conversion": "custom",
+    "toolkit_version": "2.3.2"
   },
   {
     "name": "yolov8n-cls",
@@ -101,11 +109,12 @@
     "task": "classify",
     "chip": "rk3588",
     "precision": "fp16",
-    "path": "models/classify/yolov8n-cls/rk3588/fp16",
+    "path": "models/v2.3.2/classify/yolov8n-cls/rk3588/fp16",
     "weights": "source/weights/yolov8n-cls.pt",
     "sha256": "5aeb7ba1fca5f7b2507b7f53a1d4c0f6d9c87257cee36652375235f0bcab8874",
     "metadata_sha256": "b43b3873814de60d7719c0a85919359585d7743aefdc906057a897767d5d21b5",
-    "conversion": "custom"
+    "conversion": "custom",
+    "toolkit_version": "2.3.2"
   },
   {
     "name": "yolov8n-cls",
@@ -113,11 +122,12 @@
     "task": "classify",
     "chip": "rk3588",
     "precision": "int8",
-    "path": "models/classify/yolov8n-cls/rk3588/int8",
+    "path": "models/v2.3.2/classify/yolov8n-cls/rk3588/int8",
     "weights": "source/weights/yolov8n-cls.pt",
     "sha256": "c6ebf8c79957a240cd719ba8aebede79c10d483e4643219cf54b827f30e32f16",
     "metadata_sha256": "790e6654e95b93401fb5783a2ce1c0c2cea01cc863a469b0eff8e96d79b0faf9",
-    "conversion": "custom"
+    "conversion": "custom",
+    "toolkit_version": "2.3.2"
   },
   {
     "name": "yolov8s-cls",
@@ -125,11 +135,12 @@
     "task": "classify",
     "chip": "rk3588",
     "precision": "fp16",
-    "path": "models/classify/yolov8s-cls/rk3588/fp16",
+    "path": "models/v2.3.2/classify/yolov8s-cls/rk3588/fp16",
     "weights": "source/weights/yolov8s-cls.pt",
     "sha256": "dfe65b7d143157dcab712d1f9b860c65bc7faabaad02120949032dc0c56c1b2c",
     "metadata_sha256": "e74447957691661dfb79e0f25956323ce0d3a95ebf6f813c042a76bf6dbc25b8",
-    "conversion": "custom"
+    "conversion": "custom",
+    "toolkit_version": "2.3.2"
   },
   {
     "name": "yolov8s-cls",
@@ -137,11 +148,12 @@
     "task": "classify",
     "chip": "rk3588",
     "precision": "int8",
-    "path": "models/classify/yolov8s-cls/rk3588/int8",
+    "path": "models/v2.3.2/classify/yolov8s-cls/rk3588/int8",
     "weights": "source/weights/yolov8s-cls.pt",
     "sha256": "59b37efe0d8dd7f3f94f8faa7c3edbdc86deb875ee12b7075401a5052dbd0ad3",
     "metadata_sha256": "90e2b3e48ee39d334620c522d11e51e9aca238737bb46b447363d71fb54a24ec",
-    "conversion": "custom"
+    "conversion": "custom",
+    "toolkit_version": "2.3.2"
   },
   {
     "name": "yolov8m-obb",
@@ -149,12 +161,13 @@
     "task": "obb",
     "chip": "rk3576",
     "precision": "fp16",
-    "path": "models/obb/yolov8m-obb/rk3576/fp16",
+    "path": "models/v2.3.2/obb/yolov8m-obb/rk3576/fp16",
     "weights": "source/weights/yolov8m-obb.pt",
     "sha256": "4aff015cb1bdff78f05e20a4e0c397cc0d1ff749977c12d27703671e23a536b1",
     "onnx_sha256": "1d831f1b784fe97a49008fe8d232e973169fd1f4e45cc02d3027eb95dac0f145",
     "metadata_sha256": "b7eb4afa941789f6f7f12338c952035efd582e0052b9a9aaea6d08dd421e2990",
-    "conversion": "rockchip-guided"
+    "conversion": "rockchip-guided",
+    "toolkit_version": "2.3.2"
   },
   {
     "name": "yolov8m-obb",
@@ -162,12 +175,13 @@
     "task": "obb",
     "chip": "rk3576",
     "precision": "int8",
-    "path": "models/obb/yolov8m-obb/rk3576/int8",
+    "path": "models/v2.3.2/obb/yolov8m-obb/rk3576/int8",
     "weights": "source/weights/yolov8m-obb.pt",
     "sha256": "37c5c4cfbb6f3dceba4aba15b5d4c6b33eee729d1c3b7207ebafc743412596a4",
     "onnx_sha256": "1d831f1b784fe97a49008fe8d232e973169fd1f4e45cc02d3027eb95dac0f145",
     "metadata_sha256": "38196819d224fe07a8c5fa1d63da30f45d5b95f31a23272865de241fdc24ec55",
-    "conversion": "rockchip-guided"
+    "conversion": "rockchip-guided",
+    "toolkit_version": "2.3.2"
   },
   {
     "name": "yolov8m-pose",
@@ -175,12 +189,13 @@
     "task": "pose",
     "chip": "rk3576",
     "precision": "fp16",
-    "path": "models/pose/yolov8m-pose/rk3576/fp16",
+    "path": "models/v2.3.2/pose/yolov8m-pose/rk3576/fp16",
     "weights": "source/weights/yolov8m-pose.pt",
     "sha256": "1391b5c82d204101b56bdc7e0fba6e8fb04da43d645f85f25540d0362a342272",
     "onnx_sha256": "bf9fb7f5e571892d41a78d5db41e274b4ae39b9e0d68b4f09f580e0741be5fc0",
     "metadata_sha256": "feabf2de8084092ee8a35e433622607ef709b6b34974b9c885a7c0e5eb9120b3",
-    "conversion": "rockchip-guided"
+    "conversion": "rockchip-guided",
+    "toolkit_version": "2.3.2"
   },
   {
     "name": "yolov8m-pose",
@@ -188,12 +203,13 @@
     "task": "pose",
     "chip": "rk3576",
     "precision": "int8",
-    "path": "models/pose/yolov8m-pose/rk3576/int8",
+    "path": "models/v2.3.2/pose/yolov8m-pose/rk3576/int8",
     "weights": "source/weights/yolov8m-pose.pt",
     "sha256": "baefa1abc1eebf34a3b65586049487a85742d52adb21337c57a9823c38bca5b7",
     "onnx_sha256": "bf9fb7f5e571892d41a78d5db41e274b4ae39b9e0d68b4f09f580e0741be5fc0",
     "metadata_sha256": "bedf82b9c55818f3cd9891e54c4afff61cc75abcc8c471ccf3095a1c7a354f6f",
-    "conversion": "rockchip-guided"
+    "conversion": "rockchip-guided",
+    "toolkit_version": "2.3.2"
   },
   {
     "name": "yolov8s-obb",
@@ -201,12 +217,13 @@
     "task": "obb",
     "chip": "rk3576",
     "precision": "fp16",
-    "path": "models/obb/yolov8s-obb/rk3576/fp16",
+    "path": "models/v2.3.2/obb/yolov8s-obb/rk3576/fp16",
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+    "conversion": "rockchip-guided",
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@@ -214,12 +231,13 @@
     "task": "obb",
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     "precision": "int8",
-    "path": "models/obb/yolov8s-obb/rk3576/int8",
+    "path": "models/v2.3.2/obb/yolov8s-obb/rk3576/int8",
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@@ -227,12 +245,13 @@
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     "precision": "fp16",
-    "path": "models/pose/yolov8s-pose/rk3576/fp16",
+    "path": "models/v2.3.2/pose/yolov8s-pose/rk3576/fp16",
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@@ -240,12 +259,13 @@
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     "precision": "int8",
-    "path": "models/pose/yolov8s-pose/rk3576/int8",
+    "path": "models/v2.3.2/pose/yolov8s-pose/rk3576/int8",
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@@ -253,12 +273,13 @@
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     "precision": "fp16",
-    "path": "models/obb/yolov8m-obb/rk3588/fp16",
+    "path": "models/v2.3.2/obb/yolov8m-obb/rk3588/fp16",
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@@ -266,12 +287,13 @@
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     "precision": "int8",
-    "path": "models/obb/yolov8m-obb/rk3588/int8",
+    "path": "models/v2.3.2/obb/yolov8m-obb/rk3588/int8",
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@@ -279,12 +301,13 @@
     "task": "pose",
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     "precision": "fp16",
-    "path": "models/pose/yolov8m-pose/rk3588/fp16",
+    "path": "models/v2.3.2/pose/yolov8m-pose/rk3588/fp16",
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@@ -292,12 +315,13 @@
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     "precision": "int8",
-    "path": "models/pose/yolov8m-pose/rk3588/int8",
+    "path": "models/v2.3.2/pose/yolov8m-pose/rk3588/int8",
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@@ -305,12 +329,13 @@
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     "precision": "fp16",
-    "path": "models/obb/yolov8s-obb/rk3588/fp16",
+    "path": "models/v2.3.2/obb/yolov8s-obb/rk3588/fp16",
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@@ -318,12 +343,13 @@
     "task": "obb",
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     "precision": "int8",
-    "path": "models/obb/yolov8s-obb/rk3588/int8",
+    "path": "models/v2.3.2/obb/yolov8s-obb/rk3588/int8",
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@@ -331,12 +357,13 @@
     "task": "pose",
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     "precision": "fp16",
-    "path": "models/pose/yolov8s-pose/rk3588/fp16",
+    "path": "models/v2.3.2/pose/yolov8s-pose/rk3588/fp16",
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@@ -344,12 +371,13 @@
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     "precision": "int8",
-    "path": "models/pose/yolov8s-pose/rk3588/int8",
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@@ -357,7 +385,7 @@
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     "precision": "fp16",
-    "path": "models/detect/yolov8m/rk3576/fp16",
+    "path": "models/v2.3.2/detect/yolov8m/rk3576/fp16",
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@@ -373,7 +401,7 @@
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-    "path": "models/detect/yolov8m/rk3576/int8",
+    "path": "models/v2.3.2/detect/yolov8m/rk3576/int8",
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@@ -389,7 +417,7 @@
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-    "path": "models/detect/yolov8n/rk3576/fp16",
+    "path": "models/v2.3.2/detect/yolov8n/rk3576/fp16",
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@@ -405,7 +433,7 @@
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+    "path": "models/v2.3.2/detect/yolov8n/rk3576/int8",
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@@ -421,7 +449,7 @@
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-    "path": "models/detect/yolov8s/rk3576/fp16",
+    "path": "models/v2.3.2/detect/yolov8s/rk3576/fp16",
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@@ -437,7 +465,7 @@
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-    "path": "models/detect/yolov8s/rk3576/int8",
+    "path": "models/v2.3.2/detect/yolov8s/rk3576/int8",
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@@ -453,7 +481,7 @@
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-    "path": "models/detect/yolov8m/rk3588/fp16",
+    "path": "models/v2.3.2/detect/yolov8m/rk3588/fp16",
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@@ -469,7 +497,7 @@
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-    "path": "models/detect/yolov8m/rk3588/int8",
+    "path": "models/v2.3.2/detect/yolov8m/rk3588/int8",
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@@ -485,7 +513,7 @@
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-    "path": "models/detect/yolov8n/rk3588/fp16",
+    "path": "models/v2.3.2/detect/yolov8n/rk3588/fp16",
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@@ -501,7 +529,7 @@
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-    "path": "models/detect/yolov8n/rk3588/int8",
+    "path": "models/v2.3.2/detect/yolov8n/rk3588/int8",
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@@ -517,7 +545,7 @@
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-    "path": "models/detect/yolov8s/rk3588/fp16",
+    "path": "models/v2.3.2/detect/yolov8s/rk3588/fp16",
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@@ -533,7 +561,7 @@
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-    "path": "models/detect/yolov8s/rk3588/int8",
+    "path": "models/v2.3.2/detect/yolov8s/rk3588/int8",
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@@ -549,7 +577,7 @@
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     "precision": "fp16",
-    "path": "models/segment/yolov8n-seg/rk3588/fp16",
+    "path": "models/v2.3.2/segment/yolov8n-seg/rk3588/fp16",
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@@ -564,7 +592,7 @@
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-    "path": "models/segment/yolov8n-seg/rk3576/fp16",
+    "path": "models/v2.3.2/segment/yolov8n-seg/rk3576/fp16",
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@@ -579,7 +607,7 @@
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+    "path": "models/v2.3.2/segment/yolov8s-seg/rk3576/fp16",
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@@ -594,7 +622,7 @@
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+    "path": "models/v2.3.2/segment/yolov8n-seg/rk3588/int8",
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@@ -609,7 +637,7 @@
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@@ -624,7 +652,7 @@
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@@ -639,7 +667,7 @@
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@@ -654,7 +682,7 @@
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@@ -669,7 +697,7 @@
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@@ -684,7 +712,7 @@
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@@ -699,7 +727,7 @@
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@@ -714,7 +742,7 @@
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@@ -729,7 +757,7 @@
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@@ -744,7 +772,7 @@
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@@ -759,7 +787,7 @@
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@@ -774,7 +802,7 @@
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@@ -789,7 +817,7 @@
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@@ -804,7 +832,7 @@
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@@ -819,7 +847,7 @@
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@@ -834,7 +862,7 @@
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