Publish hardware-tested Model Zoo builds for Toolkit 2.3.2

.gitattributes

@@ -41,3 +41,11 @@ models/v2.5.0/detect/yolov7/rk3576/fp16/model.rknn filter=lfs diff=lfs merge=lfs
 models/v2.5.0/detect/yolov7/rk3576/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
 models/v2.5.0/detect/yolov7/rk3588/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
 models/v2.5.0/detect/yolov7/rk3588/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/detect/yolov7/rk3576/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/detect/yolov7/rk3576/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/detect/yolov7-tiny/rk3576/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/detect/yolov7-tiny/rk3576/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/detect/yolov7/rk3588/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/detect/yolov7/rk3588/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/detect/yolov7-tiny/rk3588/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/detect/yolov7-tiny/rk3588/int8/model.rknn filter=lfs diff=lfs merge=lfs -text

README.md

@@ -18,3 +18,7 @@ Models are grouped under `models/v<toolkit-version>/<task>/<variant>/<chip>/<pre
 ## Model Zoo downloads
 
 The `models/v2.5.0/` downloads use RKNN Toolkit2 2.5.0. The conversion receipts identify the original ONNX and converter. See [source and license notices](LICENSES.md).
+
+## Toolkit 2.3.2 builds
+
+See [models/v2.3.2](tree/main/models/v2.3.2) for builds tested on their target board. Each conversion receipt identifies its source graph and compiler.

manifest.json

@@ -126,5 +126,133 @@
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+  },
+  {
+    "name": "yolov7",
+    "family": "yolov7",
+    "task": "detect",
+    "chip": "rk3576",
+    "precision": "fp16",
+    "path": "models/v2.3.2/detect/yolov7/rk3576/fp16",
+    "sha256": "baa64288f376febfb73a352b3434f82670c41f5e025558611a2ff549b1e4901f",
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+    "upstream_project": "https://github.com/airockchip/yolov7",
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+    "model_zoo_example": "https://github.com/airockchip/rknn_model_zoo/tree/837db8e992815ff8647eadb709f07067f4bc3a71/examples/yolov7"
+  },
+  {
+    "name": "yolov7",
+    "family": "yolov7",
+    "task": "detect",
+    "chip": "rk3576",
+    "precision": "int8",
+    "path": "models/v2.3.2/detect/yolov7/rk3576/int8",
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+  },
+  {
+    "name": "yolov7-tiny",
+    "family": "yolov7",
+    "task": "detect",
+    "chip": "rk3576",
+    "precision": "fp16",
+    "path": "models/v2.3.2/detect/yolov7-tiny/rk3576/fp16",
+    "sha256": "50c4922cf4eeb20953c73cd5d1bd16ceb0c0783ffe6647ea4fc6a7950ef145c9",
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+    "model_zoo_example": "https://github.com/airockchip/rknn_model_zoo/tree/837db8e992815ff8647eadb709f07067f4bc3a71/examples/yolov7"
+  },
+  {
+    "name": "yolov7-tiny",
+    "family": "yolov7",
+    "task": "detect",
+    "chip": "rk3576",
+    "precision": "int8",
+    "path": "models/v2.3.2/detect/yolov7-tiny/rk3576/int8",
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+  },
+  {
+    "name": "yolov7",
+    "family": "yolov7",
+    "task": "detect",
+    "chip": "rk3588",
+    "precision": "fp16",
+    "path": "models/v2.3.2/detect/yolov7/rk3588/fp16",
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+  },
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+    "family": "yolov7",
+    "task": "detect",
+    "chip": "rk3588",
+    "precision": "int8",
+    "path": "models/v2.3.2/detect/yolov7/rk3588/int8",
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+    "conversion": "model-zoo-official",
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+    "model_zoo_example": "https://github.com/airockchip/rknn_model_zoo/tree/837db8e992815ff8647eadb709f07067f4bc3a71/examples/yolov7"
+  },
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+    "family": "yolov7",
+    "task": "detect",
+    "chip": "rk3588",
+    "precision": "fp16",
+    "path": "models/v2.3.2/detect/yolov7-tiny/rk3588/fp16",
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+  },
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+    "family": "yolov7",
+    "task": "detect",
+    "chip": "rk3588",
+    "precision": "int8",
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+    "upstream_project": "https://github.com/airockchip/yolov7",
+    "conversion": "model-zoo-official",
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+    "model_zoo_example": "https://github.com/airockchip/rknn_model_zoo/tree/837db8e992815ff8647eadb709f07067f4bc3a71/examples/yolov7"
   }
 ]

models/v2.3.2/detect/yolov7-tiny/rk3576/fp16/conversion.json

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models/v2.3.2/detect/yolov7-tiny/rk3576/fp16/metadata.yaml

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+task: detect
+batch: 1
+channels: 3
+imgsz:
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+- 640
+names:
+- person
+- bicycle
+- car
+- motorcycle
+- airplane
+- bus
+- train
+- truck
+- boat
+- traffic light
+- fire hydrant
+- stop sign
+- parking meter
+- bench
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+- dog
+- horse
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+- cow
+- elephant
+- bear
+- zebra
+- giraffe
+- backpack
+- umbrella
+- handbag
+- tie
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+- frisbee
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+- snowboard
+- sports ball
+- kite
+- baseball bat
+- baseball glove
+- skateboard
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+- tennis racket
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+- knife
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+- bowl
+- banana
+- apple
+- sandwich
+- orange
+- broccoli
+- carrot
+- hot dog
+- pizza
+- donut
+- cake
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+- potted plant
+- bed
+- dining table
+- toilet
+- tv
+- laptop
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+- remote
+- keyboard
+- cell phone
+- microwave
+- oven
+- toaster
+- sink
+- refrigerator
+- book
+- clock
+- vase
+- scissors
+- teddy bear
+- hair drier
+- toothbrush
+target_platform: rk3576
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+head: anchored
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models/v2.3.2/detect/yolov7-tiny/rk3576/int8/conversion.json

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+}

models/v2.3.2/detect/yolov7-tiny/rk3576/int8/metadata.yaml

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+- car
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+- train
+- truck
+- boat
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+- stop sign
+- parking meter
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models/v2.3.2/detect/yolov7-tiny/rk3588/fp16/conversion.json

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+}

models/v2.3.2/detect/yolov7-tiny/rk3588/fp16/metadata.yaml

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+task: detect
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+channels: 3
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+- person
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+- car
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+- train
+- truck
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+- stop sign
+- parking meter
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+- teddy bear
+- hair drier
+- toothbrush
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models/v2.3.2/detect/yolov7-tiny/rk3588/int8/conversion.json

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