Use Toolkit 2.3.2 for Model Zoo detectors

.gitattributes

@@ -73,3 +73,23 @@ models/detect/yolov8s/rk3576/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
 models/detect/yolov8s/rk3576/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
 models/detect/yolov8s/rk3588/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
 models/detect/yolov8s/rk3588/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/obb/yolov8n-obb/rk3576/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/obb/yolov8n-obb/rk3576/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/obb/yolov8n-obb/rk3588/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/obb/yolov8n-obb/rk3588/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/pose/yolov8n-pose/rk3576/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/pose/yolov8n-pose/rk3576/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/pose/yolov8n-pose/rk3588/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/pose/yolov8n-pose/rk3588/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/segment/yolov8m-seg/rk3576/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/segment/yolov8m-seg/rk3576/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/segment/yolov8m-seg/rk3588/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/segment/yolov8m-seg/rk3588/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/segment/yolov8n-seg/rk3576/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/segment/yolov8n-seg/rk3576/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/segment/yolov8n-seg/rk3588/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/segment/yolov8n-seg/rk3588/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/segment/yolov8s-seg/rk3576/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
+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

README.md

@@ -13,7 +13,7 @@ tags:
 Rockchip-guided and custom YOLO exports for RK3576 and RK3588.
 Converted with RKNN Toolkit2 2.3.2.
 
-Available tasks: detect, classify, obb, pose.
+Available tasks: detect, classify, obb, pose, segment.
 
 Download `model.rknn` and `metadata.yaml` from the same folder under `models/<task>/<variant>/<chip>/<precision>/`.
 

manifest.json

@@ -542,5 +542,305 @@
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     "toolkit_version": "2.3.2",
     "conversion": "rockchip-rkopt"
+  },
+  {
+    "name": "yolov8n-seg",
+    "family": "yolov8",
+    "task": "segment",
+    "chip": "rk3588",
+    "precision": "fp16",
+    "path": "models/segment/yolov8n-seg/rk3588/fp16",
+    "sha256": "7d478f03867d08d22ca4446dab0f98e1de8abd83f616a02e6d34fff35d8d5592",
+    "metadata_sha256": "50d11ac8e4de14089503551b8b6bbd2daf75fe9d9a7b7e00e7cb746497a92f51",
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+    "source_onnx": "source/onnx/yolov8n-seg.onnx",
+    "weights": "source/weights/yolov8n-seg.pt",
+    "toolkit_version": "2.3.2",
+    "conversion": "rockchip-guided"
+  },
+  {
+    "name": "yolov8n-seg",
+    "family": "yolov8",
+    "task": "segment",
+    "chip": "rk3576",
+    "precision": "fp16",
+    "path": "models/segment/yolov8n-seg/rk3576/fp16",
+    "sha256": "b06575533e8a7b0ccc77e98cff6ac8365ef62a8fbfc541f71b9e02ec3926ef12",
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+    "source_onnx": "source/onnx/yolov8n-seg.onnx",
+    "weights": "source/weights/yolov8n-seg.pt",
+    "toolkit_version": "2.3.2",
+    "conversion": "rockchip-guided"
+  },
+  {
+    "name": "yolov8s-seg",
+    "family": "yolov8",
+    "task": "segment",
+    "chip": "rk3576",
+    "precision": "fp16",
+    "path": "models/segment/yolov8s-seg/rk3576/fp16",
+    "sha256": "53d627fabfb2247da667423206a0ec245089c11bdfecbf8aba30657cf4df2247",
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+    "weights": "source/weights/yolov8s-seg.pt",
+    "toolkit_version": "2.3.2",
+    "conversion": "rockchip-guided"
+  },
+  {
+    "name": "yolov8n-seg",
+    "family": "yolov8",
+    "task": "segment",
+    "chip": "rk3588",
+    "precision": "int8",
+    "path": "models/segment/yolov8n-seg/rk3588/int8",
+    "sha256": "7025f4e3751f212676ffb23acb03882b6c107bc6cdeee1124c8208c36737215e",
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+    "source_onnx": "source/onnx/yolov8n-seg.onnx",
+    "weights": "source/weights/yolov8n-seg.pt",
+    "toolkit_version": "2.3.2",
+    "conversion": "rockchip-guided"
+  },
+  {
+    "name": "yolov8s-seg",
+    "family": "yolov8",
+    "task": "segment",
+    "chip": "rk3588",
+    "precision": "fp16",
+    "path": "models/segment/yolov8s-seg/rk3588/fp16",
+    "sha256": "2a404ebc9beda20db70a1aee4e42b87bec4cb3c0108bf0b3eb8f32a8ae017902",
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+    "weights": "source/weights/yolov8s-seg.pt",
+    "toolkit_version": "2.3.2",
+    "conversion": "rockchip-guided"
+  },
+  {
+    "name": "yolov8n-seg",
+    "family": "yolov8",
+    "task": "segment",
+    "chip": "rk3576",
+    "precision": "int8",
+    "path": "models/segment/yolov8n-seg/rk3576/int8",
+    "sha256": "e4c83d833ac48a19029aac0b209e4a5fb8d1962c1916555902bb8675fc3389b5",
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+    "weights": "source/weights/yolov8n-seg.pt",
+    "toolkit_version": "2.3.2",
+    "conversion": "rockchip-guided"
+  },
+  {
+    "name": "yolov8s-seg",
+    "family": "yolov8",
+    "task": "segment",
+    "chip": "rk3576",
+    "precision": "int8",
+    "path": "models/segment/yolov8s-seg/rk3576/int8",
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+    "weights": "source/weights/yolov8s-seg.pt",
+    "toolkit_version": "2.3.2",
+    "conversion": "rockchip-guided"
+  },
+  {
+    "name": "yolov8m-seg",
+    "family": "yolov8",
+    "task": "segment",
+    "chip": "rk3576",
+    "precision": "fp16",
+    "path": "models/segment/yolov8m-seg/rk3576/fp16",
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+    "weights": "source/weights/yolov8m-seg.pt",
+    "toolkit_version": "2.3.2",
+    "conversion": "rockchip-guided"
+  },
+  {
+    "name": "yolov8m-seg",
+    "family": "yolov8",
+    "task": "segment",
+    "chip": "rk3588",
+    "precision": "fp16",
+    "path": "models/segment/yolov8m-seg/rk3588/fp16",
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+    "weights": "source/weights/yolov8m-seg.pt",
+    "toolkit_version": "2.3.2",
+    "conversion": "rockchip-guided"
+  },
+  {
+    "name": "yolov8s-seg",
+    "family": "yolov8",
+    "task": "segment",
+    "chip": "rk3588",
+    "precision": "int8",
+    "path": "models/segment/yolov8s-seg/rk3588/int8",
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+    "toolkit_version": "2.3.2",
+    "conversion": "rockchip-guided"
+  },
+  {
+    "name": "yolov8n-pose",
+    "family": "yolov8",
+    "task": "pose",
+    "chip": "rk3576",
+    "precision": "fp16",
+    "path": "models/pose/yolov8n-pose/rk3576/fp16",
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+    "weights": "source/weights/yolov8n-pose.pt",
+    "toolkit_version": "2.3.2",
+    "conversion": "rockchip-guided"
+  },
+  {
+    "name": "yolov8n-pose",
+    "family": "yolov8",
+    "task": "pose",
+    "chip": "rk3588",
+    "precision": "fp16",
+    "path": "models/pose/yolov8n-pose/rk3588/fp16",
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+    "weights": "source/weights/yolov8n-pose.pt",
+    "toolkit_version": "2.3.2",
+    "conversion": "rockchip-guided"
+  },
+  {
+    "name": "yolov8n-obb",
+    "family": "yolov8",
+    "task": "obb",
+    "chip": "rk3576",
+    "precision": "int8",
+    "path": "models/obb/yolov8n-obb/rk3576/int8",
+    "sha256": "8163fee19e6d10ca60fc10a67827429caee99937595653fcc39e54b17b6f8890",
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+    "weights": "source/weights/yolov8n-obb.pt",
+    "toolkit_version": "2.3.2",
+    "conversion": "rockchip-guided"
+  },
+  {
+    "name": "yolov8n-obb",
+    "family": "yolov8",
+    "task": "obb",
+    "chip": "rk3576",
+    "precision": "fp16",
+    "path": "models/obb/yolov8n-obb/rk3576/fp16",
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+    "weights": "source/weights/yolov8n-obb.pt",
+    "toolkit_version": "2.3.2",
+    "conversion": "rockchip-guided"
+  },
+  {
+    "name": "yolov8n-pose",
+    "family": "yolov8",
+    "task": "pose",
+    "chip": "rk3576",
+    "precision": "int8",
+    "path": "models/pose/yolov8n-pose/rk3576/int8",
+    "sha256": "4fd52a66bb727b5bcf2f45389e750564c4089fce96b78f8b0cd7a0935e4fbf1c",
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+    "weights": "source/weights/yolov8n-pose.pt",
+    "toolkit_version": "2.3.2",
+    "conversion": "rockchip-guided"
+  },
+  {
+    "name": "yolov8n-obb",
+    "family": "yolov8",
+    "task": "obb",
+    "chip": "rk3588",
+    "precision": "fp16",
+    "path": "models/obb/yolov8n-obb/rk3588/fp16",
+    "sha256": "a5bb2469402f09dc3ab26adea48575b7f55f976fe65e464e0df2bf7ec01b0b1d",
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+    "source_onnx": "source/onnx/yolov8n-obb.onnx",
+    "weights": "source/weights/yolov8n-obb.pt",
+    "toolkit_version": "2.3.2",
+    "conversion": "rockchip-guided"
+  },
+  {
+    "name": "yolov8m-seg",
+    "family": "yolov8",
+    "task": "segment",
+    "chip": "rk3576",
+    "precision": "int8",
+    "path": "models/segment/yolov8m-seg/rk3576/int8",
+    "sha256": "2b1d117bba7a89957c0336fd0072929cc9f6634600e70a256d0f2cab37c8b164",
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+    "weights": "source/weights/yolov8m-seg.pt",
+    "toolkit_version": "2.3.2",
+    "conversion": "rockchip-guided"
+  },
+  {
+    "name": "yolov8n-pose",
+    "family": "yolov8",
+    "task": "pose",
+    "chip": "rk3588",
+    "precision": "int8",
+    "path": "models/pose/yolov8n-pose/rk3588/int8",
+    "sha256": "2973b52d2dd110c2ccc3f5041beef71131c4f7677f80e72a7e03acf727633c3f",
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+    "source_onnx": "source/onnx/yolov8n-pose.onnx",
+    "weights": "source/weights/yolov8n-pose.pt",
+    "toolkit_version": "2.3.2",
+    "conversion": "rockchip-guided"
+  },
+  {
+    "name": "yolov8n-obb",
+    "family": "yolov8",
+    "task": "obb",
+    "chip": "rk3588",
+    "precision": "int8",
+    "path": "models/obb/yolov8n-obb/rk3588/int8",
+    "sha256": "0761adc4f8a1a6570d649d8638a7e9259412240652c475dc92c51bc299bed2a8",
+    "metadata_sha256": "0b6cc39d39d7add1b952e6f62aae7b22ade06c53d093db08a2a29f1b0a40d7b4",
+    "onnx_sha256": "b26591925d64ea06c9b056496d1a227a859d41631dcb5da41d6d1512094e3a3e",
+    "source_onnx": "source/onnx/yolov8n-obb.onnx",
+    "weights": "source/weights/yolov8n-obb.pt",
+    "toolkit_version": "2.3.2",
+    "conversion": "rockchip-guided"
+  },
+  {
+    "name": "yolov8m-seg",
+    "family": "yolov8",
+    "task": "segment",
+    "chip": "rk3588",
+    "precision": "int8",
+    "path": "models/segment/yolov8m-seg/rk3588/int8",
+    "sha256": "6d4d358cf47e3b90cdfa895a5e0f5dbac066d2e2b2701dbbb544173e3b29ef2a",
+    "metadata_sha256": "4aebb96a20530b74caf48417309a57af77bccd0059539342b7e8ba5cbac16b0a",
+    "onnx_sha256": "d24b2af83d841671c4e3a4ab4ed41ff9c1fb69639af7e9ccc0fd4977e32fe32d",
+    "source_onnx": "source/onnx/yolov8m-seg.onnx",
+    "weights": "source/weights/yolov8m-seg.pt",
+    "toolkit_version": "2.3.2",
+    "conversion": "rockchip-guided"
   }
 ]

models/obb/yolov8n-obb/rk3576/fp16/metadata.yaml

@@ -0,0 +1,25 @@
+task: obb
+batch: 1
+channels: 3
+imgsz:
+- 640
+- 640
+names:
+- plane
+- ship
+- storage tank
+- baseball diamond
+- tennis court
+- basketball court
+- ground track field
+- harbor
+- bridge
+- large vehicle
+- small vehicle
+- helicopter
+- roundabout
+- soccer ball field
+- swimming pool
+target_platform: rk3576
+coordinates: pixels
+precision: fp16

models/obb/yolov8n-obb/rk3576/fp16/model.rknn

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9f65a90d1147b5c98cc1cc2da97e81baecf077343c647a4549342701d24c752f
+size 9758176

models/obb/yolov8n-obb/rk3576/int8/metadata.yaml

@@ -0,0 +1,25 @@
+task: obb
+batch: 1
+channels: 3
+imgsz:
+- 640
+- 640
+names:
+- plane
+- ship
+- storage tank
+- baseball diamond
+- tennis court
+- basketball court
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+- toilet
+- tv
+- laptop
+- mouse
+- remote
+- keyboard
+- cell phone
+- microwave
+- oven
+- toaster
+- sink
+- refrigerator
+- book
+- clock
+- vase
+- scissors
+- teddy bear
+- hair drier
+- toothbrush
+target_platform: rk3588
+coordinates: pixels
+precision: int8

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