Publish hardware-tested Model Zoo builds for Toolkit 2.3.2

.gitattributes

@@ -49,3 +49,15 @@ models/v2.5.0/detect/yolox_s/rk3576/fp16/model.rknn filter=lfs diff=lfs merge=lf
 models/v2.5.0/detect/yolox_s/rk3576/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
 models/v2.5.0/detect/yolox_s/rk3588/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
 models/v2.5.0/detect/yolox_s/rk3588/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/detect/yolox_nano/rk3576/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/detect/yolox_nano/rk3576/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/detect/yolox_nano/rk3588/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/detect/yolox_nano/rk3588/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/detect/yolox_m/rk3576/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/detect/yolox_m/rk3576/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/detect/yolox_s/rk3576/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/detect/yolox_s/rk3576/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/detect/yolox_m/rk3588/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/detect/yolox_m/rk3588/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/detect/yolox_s/rk3588/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/detect/yolox_s/rk3588/int8/model.rknn filter=lfs diff=lfs merge=lfs -text

README.md

@@ -25,3 +25,7 @@ Models are organized by RKNN Toolkit2 version under `models/v<version>/`. Each m
 ## 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

@@ -162,5 +162,173 @@
     "metadata_sha256": "be12ad50cc4a97d33f48335add291ebc22cfdce23f2538e979268301c573e2b9",
     "onnx_sha256": "a39c8476d10c242298d6a8654cb29937a9cc3c062358f4d96367689df23d1796",
     "model_zoo_example": "https://github.com/airockchip/rknn_model_zoo/tree/837db8e992815ff8647eadb709f07067f4bc3a71/examples/yolox"
+  },
+  {
+    "path": "models/v2.3.2/detect/yolox_nano/rk3576/fp16",
+    "chip": "rk3576",
+    "precision": "fp16",
+    "onnx_sha256": "8f2c3337598150e82b4e4b4d3d1a20c1c4a56e9e0df0623ce95e330683aac309",
+    "sha256": "8b8b1c1702531796501bbb74744c4b2c1957b847aa94c0dd0feb83c24a7ea7c9",
+    "toolkit_version": "2.3.2",
+    "zoo_commit": "837db8e992815ff8647eadb709f07067f4bc3a71",
+    "metadata_sha256": "56c50cb7253615ac136226b7314c96e4702253adc80db792554a83d687580e6c"
+  },
+  {
+    "path": "models/v2.3.2/detect/yolox_nano/rk3576/int8",
+    "chip": "rk3576",
+    "precision": "int8",
+    "onnx_sha256": "8f2c3337598150e82b4e4b4d3d1a20c1c4a56e9e0df0623ce95e330683aac309",
+    "sha256": "69ce024a4558da9ab098b25d17d16950316ded4830455148db3d2be96866a240",
+    "toolkit_version": "2.3.2",
+    "zoo_commit": "837db8e992815ff8647eadb709f07067f4bc3a71",
+    "metadata_sha256": "56c50cb7253615ac136226b7314c96e4702253adc80db792554a83d687580e6c"
+  },
+  {
+    "path": "models/v2.3.2/detect/yolox_nano/rk3588/fp16",
+    "chip": "rk3588",
+    "precision": "fp16",
+    "onnx_sha256": "8f2c3337598150e82b4e4b4d3d1a20c1c4a56e9e0df0623ce95e330683aac309",
+    "sha256": "3c062d947ff5186f12aa5ee97fa8f63c2dbee64f522bdc19c0ef47c2b3b02838",
+    "toolkit_version": "2.3.2",
+    "zoo_commit": "837db8e992815ff8647eadb709f07067f4bc3a71",
+    "metadata_sha256": "aa874c9940d8e25d95b436c3493a8fd1d428f28987c4689746f0e233fa4163cb"
+  },
+  {
+    "path": "models/v2.3.2/detect/yolox_nano/rk3588/int8",
+    "chip": "rk3588",
+    "precision": "int8",
+    "onnx_sha256": "8f2c3337598150e82b4e4b4d3d1a20c1c4a56e9e0df0623ce95e330683aac309",
+    "sha256": "bd7c1bdb298555d3f36c01fd606be95bf75aa2fbe0c31340895b8a0aff20e243",
+    "toolkit_version": "2.3.2",
+    "zoo_commit": "837db8e992815ff8647eadb709f07067f4bc3a71",
+    "metadata_sha256": "aa874c9940d8e25d95b436c3493a8fd1d428f28987c4689746f0e233fa4163cb"
+  },
+  {
+    "name": "yolox_m",
+    "family": "yolox",
+    "task": "detect",
+    "chip": "rk3576",
+    "precision": "fp16",
+    "path": "models/v2.3.2/detect/yolox_m/rk3576/fp16",
+    "sha256": "a63aa4e8041e093fcf81fd600fab39ab6ff441af4568ea03be17469f4f574908",
+    "toolkit_version": "2.3.2",
+    "source_url": "https://ftrg.zbox.filez.com/v2/delivery/data/95f00b0fc900458ba134f8b180b3f7a1/examples/yolox/yolox_m.onnx",
+    "upstream_project": "https://github.com/airockchip/YOLOX",
+    "conversion": "model-zoo-official",
+    "metadata_sha256": "9b465372399178d838e64b400cfbaddccd2f27bbd42946ca56654e169cbeeae4",
+    "onnx_sha256": "47a76546f3a499b2dbf55cdf2c5ea49bf2b7fa8c943de40edf1ee39b20e45f29",
+    "model_zoo_example": "https://github.com/airockchip/rknn_model_zoo/tree/837db8e992815ff8647eadb709f07067f4bc3a71/examples/yolox"
+  },
+  {
+    "name": "yolox_m",
+    "family": "yolox",
+    "task": "detect",
+    "chip": "rk3576",
+    "precision": "int8",
+    "path": "models/v2.3.2/detect/yolox_m/rk3576/int8",
+    "sha256": "9beb3cc5c2bf9563dcd17dd0c6bca96249889be1abf5f4fbe3da0a674652dfcd",
+    "toolkit_version": "2.3.2",
+    "source_url": "https://ftrg.zbox.filez.com/v2/delivery/data/95f00b0fc900458ba134f8b180b3f7a1/examples/yolox/yolox_m.onnx",
+    "upstream_project": "https://github.com/airockchip/YOLOX",
+    "conversion": "model-zoo-official",
+    "metadata_sha256": "9b465372399178d838e64b400cfbaddccd2f27bbd42946ca56654e169cbeeae4",
+    "onnx_sha256": "47a76546f3a499b2dbf55cdf2c5ea49bf2b7fa8c943de40edf1ee39b20e45f29",
+    "model_zoo_example": "https://github.com/airockchip/rknn_model_zoo/tree/837db8e992815ff8647eadb709f07067f4bc3a71/examples/yolox"
+  },
+  {
+    "name": "yolox_s",
+    "family": "yolox",
+    "task": "detect",
+    "chip": "rk3576",
+    "precision": "fp16",
+    "path": "models/v2.3.2/detect/yolox_s/rk3576/fp16",
+    "sha256": "564283374028356e02c93621d601b35f9173ebb63d688cc103d1a5e22f6cd135",
+    "toolkit_version": "2.3.2",
+    "source_url": "https://ftrg.zbox.filez.com/v2/delivery/data/95f00b0fc900458ba134f8b180b3f7a1/examples/yolox/yolox_s.onnx",
+    "upstream_project": "https://github.com/airockchip/YOLOX",
+    "conversion": "model-zoo-official",
+    "metadata_sha256": "9b465372399178d838e64b400cfbaddccd2f27bbd42946ca56654e169cbeeae4",
+    "onnx_sha256": "a39c8476d10c242298d6a8654cb29937a9cc3c062358f4d96367689df23d1796",
+    "model_zoo_example": "https://github.com/airockchip/rknn_model_zoo/tree/837db8e992815ff8647eadb709f07067f4bc3a71/examples/yolox"
+  },
+  {
+    "name": "yolox_s",
+    "family": "yolox",
+    "task": "detect",
+    "chip": "rk3576",
+    "precision": "int8",
+    "path": "models/v2.3.2/detect/yolox_s/rk3576/int8",
+    "sha256": "6fa6465317dc433a67dbd74aceca37be412d0735c7248ed267c87626d8af3e32",
+    "toolkit_version": "2.3.2",
+    "source_url": "https://ftrg.zbox.filez.com/v2/delivery/data/95f00b0fc900458ba134f8b180b3f7a1/examples/yolox/yolox_s.onnx",
+    "upstream_project": "https://github.com/airockchip/YOLOX",
+    "conversion": "model-zoo-official",
+    "metadata_sha256": "9b465372399178d838e64b400cfbaddccd2f27bbd42946ca56654e169cbeeae4",
+    "onnx_sha256": "a39c8476d10c242298d6a8654cb29937a9cc3c062358f4d96367689df23d1796",
+    "model_zoo_example": "https://github.com/airockchip/rknn_model_zoo/tree/837db8e992815ff8647eadb709f07067f4bc3a71/examples/yolox"
+  },
+  {
+    "name": "yolox_m",
+    "family": "yolox",
+    "task": "detect",
+    "chip": "rk3588",
+    "precision": "fp16",
+    "path": "models/v2.3.2/detect/yolox_m/rk3588/fp16",
+    "sha256": "0b764ec6225573f31d1c329cd922abaaaf72c7775a9788ee2ac679818cb6c5b0",
+    "toolkit_version": "2.3.2",
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+    "upstream_project": "https://github.com/airockchip/YOLOX",
+    "conversion": "model-zoo-official",
+    "metadata_sha256": "be12ad50cc4a97d33f48335add291ebc22cfdce23f2538e979268301c573e2b9",
+    "onnx_sha256": "47a76546f3a499b2dbf55cdf2c5ea49bf2b7fa8c943de40edf1ee39b20e45f29",
+    "model_zoo_example": "https://github.com/airockchip/rknn_model_zoo/tree/837db8e992815ff8647eadb709f07067f4bc3a71/examples/yolox"
+  },
+  {
+    "name": "yolox_m",
+    "family": "yolox",
+    "task": "detect",
+    "chip": "rk3588",
+    "precision": "int8",
+    "path": "models/v2.3.2/detect/yolox_m/rk3588/int8",
+    "sha256": "d07818e54d9dc85f012ffd4b5f8bc0db5a4a366089cf37708e08549d80494ee5",
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+    "upstream_project": "https://github.com/airockchip/YOLOX",
+    "conversion": "model-zoo-official",
+    "metadata_sha256": "be12ad50cc4a97d33f48335add291ebc22cfdce23f2538e979268301c573e2b9",
+    "onnx_sha256": "47a76546f3a499b2dbf55cdf2c5ea49bf2b7fa8c943de40edf1ee39b20e45f29",
+    "model_zoo_example": "https://github.com/airockchip/rknn_model_zoo/tree/837db8e992815ff8647eadb709f07067f4bc3a71/examples/yolox"
+  },
+  {
+    "name": "yolox_s",
+    "family": "yolox",
+    "task": "detect",
+    "chip": "rk3588",
+    "precision": "fp16",
+    "path": "models/v2.3.2/detect/yolox_s/rk3588/fp16",
+    "sha256": "cdfe08a24b1820ea821f2abf4fd6138facbd7957a7f513e4f01babbe23960cf2",
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+    "source_url": "https://ftrg.zbox.filez.com/v2/delivery/data/95f00b0fc900458ba134f8b180b3f7a1/examples/yolox/yolox_s.onnx",
+    "upstream_project": "https://github.com/airockchip/YOLOX",
+    "conversion": "model-zoo-official",
+    "metadata_sha256": "be12ad50cc4a97d33f48335add291ebc22cfdce23f2538e979268301c573e2b9",
+    "onnx_sha256": "a39c8476d10c242298d6a8654cb29937a9cc3c062358f4d96367689df23d1796",
+    "model_zoo_example": "https://github.com/airockchip/rknn_model_zoo/tree/837db8e992815ff8647eadb709f07067f4bc3a71/examples/yolox"
+  },
+  {
+    "name": "yolox_s",
+    "family": "yolox",
+    "task": "detect",
+    "chip": "rk3588",
+    "precision": "int8",
+    "path": "models/v2.3.2/detect/yolox_s/rk3588/int8",
+    "sha256": "81373b682a214c7ddd20850f36964550c63621f0645bb488efc015a5e496a7e2",
+    "toolkit_version": "2.3.2",
+    "source_url": "https://ftrg.zbox.filez.com/v2/delivery/data/95f00b0fc900458ba134f8b180b3f7a1/examples/yolox/yolox_s.onnx",
+    "upstream_project": "https://github.com/airockchip/YOLOX",
+    "conversion": "model-zoo-official",
+    "metadata_sha256": "be12ad50cc4a97d33f48335add291ebc22cfdce23f2538e979268301c573e2b9",
+    "onnx_sha256": "a39c8476d10c242298d6a8654cb29937a9cc3c062358f4d96367689df23d1796",
+    "model_zoo_example": "https://github.com/airockchip/rknn_model_zoo/tree/837db8e992815ff8647eadb709f07067f4bc3a71/examples/yolox"
   }
 ]

models/v2.3.2/detect/yolox_m/rk3576/fp16/conversion.json

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+{
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+  "rknn_sha256": "a63aa4e8041e093fcf81fd600fab39ab6ff441af4568ea03be17469f4f574908",
+  "commands": [
+    [
+      "convert.py",
+      "/home/ae/hanzos_workspace/yolo-rknn/toolkit-2.3.2-verify/onnx/yolox/yolox_m.onnx",
+      "rk3576",
+      "fp",
+      "/home/ae/hanzos_workspace/yolo-rknn/toolkit-2.3.2-verify/rknn/rk3576/yolox/yolox_m/fp/model.partial.rknn"
+    ]
+  ],
+  "toolkit_python": "/home/ae/miniforge3/envs/ultralytics/bin/python",
+  "toolkit_version": "2.3.2",
+  "zoo_commit": "837db8e992815ff8647eadb709f07067f4bc3a71"
+}

models/v2.3.2/detect/yolox_m/rk3576/fp16/metadata.yaml

@@ -0,0 +1,90 @@
+task: detect
+batch: 1
+channels: 3
+imgsz:
+- 640
+- 640
+names:
+- person
+- bicycle
+- car
+- motorcycle
+- airplane
+- bus
+- train
+- truck
+- boat
+- traffic light
+- fire hydrant
+- stop sign
+- parking meter
+- bench
+- bird
+- cat
+- dog
+- horse
+- sheep
+- cow
+- elephant
+- bear
+- zebra
+- giraffe
+- backpack
+- umbrella
+- handbag
+- tie
+- suitcase
+- frisbee
+- skis
+- snowboard
+- sports ball
+- kite
+- baseball bat
+- baseball glove
+- skateboard
+- surfboard
+- tennis racket
+- bottle
+- wine glass
+- cup
+- fork
+- knife
+- spoon
+- bowl
+- banana
+- apple
+- sandwich
+- orange
+- broccoli
+- carrot
+- hot dog
+- pizza
+- donut
+- cake
+- chair
+- couch
+- potted plant
+- bed
+- dining table
+- toilet
+- tv
+- laptop
+- mouse
+- remote
+- keyboard
+- cell phone
+- microwave
+- oven
+- toaster
+- sink
+- refrigerator
+- book
+- clock
+- vase
+- scissors
+- teddy bear
+- hair drier
+- toothbrush
+target_platform: rk3576
+coordinates: pixels
+head: yolox

models/v2.3.2/detect/yolox_m/rk3576/fp16/model.rknn

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+oid sha256:a63aa4e8041e093fcf81fd600fab39ab6ff441af4568ea03be17469f4f574908
+size 57204806

models/v2.3.2/detect/yolox_m/rk3576/int8/conversion.json

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+{
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+  "onnx_sha256": "47a76546f3a499b2dbf55cdf2c5ea49bf2b7fa8c943de40edf1ee39b20e45f29",
+  "rknn_sha256": "9beb3cc5c2bf9563dcd17dd0c6bca96249889be1abf5f4fbe3da0a674652dfcd",
+  "commands": [
+    [
+      "convert.py",
+      "/home/ae/hanzos_workspace/yolo-rknn/toolkit-2.3.2-verify/onnx/yolox/yolox_m.onnx",
+      "rk3576",
+      "i8",
+      "/home/ae/hanzos_workspace/yolo-rknn/toolkit-2.3.2-verify/rknn/rk3576/yolox/yolox_m/i8/model.partial.rknn"
+    ]
+  ],
+  "toolkit_python": "/home/ae/miniforge3/envs/ultralytics/bin/python",
+  "toolkit_version": "2.3.2",
+  "zoo_commit": "837db8e992815ff8647eadb709f07067f4bc3a71"
+}

models/v2.3.2/detect/yolox_m/rk3576/int8/metadata.yaml

@@ -0,0 +1,90 @@
+task: detect
+batch: 1
+channels: 3
+imgsz:
+- 640
+- 640
+names:
+- person
+- bicycle
+- car
+- motorcycle
+- airplane
+- bus
+- train
+- truck
+- boat
+- traffic light
+- fire hydrant
+- stop sign
+- parking meter
+- bench
+- bird
+- cat
+- dog
+- horse
+- sheep
+- cow
+- elephant
+- bear
+- zebra
+- giraffe
+- backpack
+- umbrella
+- handbag
+- tie
+- suitcase
+- frisbee
+- skis
+- snowboard
+- sports ball
+- kite
+- baseball bat
+- baseball glove
+- skateboard
+- surfboard
+- tennis racket
+- bottle
+- wine glass
+- cup
+- fork
+- knife
+- spoon
+- bowl
+- banana
+- apple
+- sandwich
+- orange
+- broccoli
+- carrot
+- hot dog
+- pizza
+- donut
+- cake
+- chair
+- couch
+- potted plant
+- bed
+- dining table
+- toilet
+- tv
+- laptop
+- mouse
+- remote
+- keyboard
+- cell phone
+- microwave
+- oven
+- toaster
+- sink
+- refrigerator
+- book
+- clock
+- vase
+- scissors
+- teddy bear
+- hair drier
+- toothbrush
+target_platform: rk3576
+coordinates: pixels
+head: yolox

models/v2.3.2/detect/yolox_m/rk3576/int8/model.rknn

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+size 31369210

models/v2.3.2/detect/yolox_m/rk3588/fp16/conversion.json

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+{
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+  "rknn_sha256": "0b764ec6225573f31d1c329cd922abaaaf72c7775a9788ee2ac679818cb6c5b0",
+  "commands": [
+    [
+      "convert.py",
+      "/home/ae/hanzos_workspace/yolo-rknn/toolkit-2.3.2-verify/onnx/yolox/yolox_m.onnx",
+      "rk3588",
+      "fp",
+      "/home/ae/hanzos_workspace/yolo-rknn/toolkit-2.3.2-verify/rknn/rk3588/yolox/yolox_m/fp/model.partial.rknn"
+    ]
+  ],
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+  "zoo_commit": "837db8e992815ff8647eadb709f07067f4bc3a71"
+}

models/v2.3.2/detect/yolox_s/rk3588/fp16/metadata.yaml

@@ -0,0 +1,90 @@
+task: detect
+batch: 1
+channels: 3
+imgsz:
+- 640
+- 640
+names:
+- person
+- bicycle
+- car
+- motorcycle
+- airplane
+- bus
+- train
+- truck
+- boat
+- traffic light
+- fire hydrant
+- stop sign
+- parking meter
+- bench
+- bird
+- cat
+- dog
+- horse
+- sheep
+- cow
+- elephant
+- bear
+- zebra
+- giraffe
+- backpack
+- umbrella
+- handbag
+- tie
+- suitcase
+- frisbee
+- skis
+- snowboard
+- sports ball
+- kite
+- baseball bat
+- baseball glove
+- skateboard
+- surfboard
+- tennis racket
+- bottle
+- wine glass
+- cup
+- fork
+- knife
+- spoon
+- bowl
+- banana
+- apple
+- sandwich
+- orange
+- broccoli
+- carrot
+- hot dog
+- pizza
+- donut
+- cake
+- chair
+- couch
+- potted plant
+- bed
+- dining table
+- 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
+head: yolox

models/v2.3.2/detect/yolox_s/rk3588/fp16/model.rknn

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cdfe08a24b1820ea821f2abf4fd6138facbd7957a7f513e4f01babbe23960cf2
+size 20076677

models/v2.3.2/detect/yolox_s/rk3588/int8/conversion.json

@@ -0,0 +1,17 @@
+{
+  "source": "https://ftrg.zbox.filez.com/v2/delivery/data/95f00b0fc900458ba134f8b180b3f7a1/examples/yolox/yolox_s.onnx",
+  "onnx_sha256": "a39c8476d10c242298d6a8654cb29937a9cc3c062358f4d96367689df23d1796",
+  "rknn_sha256": "81373b682a214c7ddd20850f36964550c63621f0645bb488efc015a5e496a7e2",
+  "commands": [
+    [
+      "convert.py",
+      "/home/ae/hanzos_workspace/yolo-rknn/toolkit-2.3.2-verify/onnx/yolox/yolox_s.onnx",
+      "rk3588",
+      "i8",
+      "/home/ae/hanzos_workspace/yolo-rknn/toolkit-2.3.2-verify/rknn/rk3588/yolox/yolox_s/i8/model.partial.rknn"
+    ]
+  ],
+  "toolkit_python": "/home/ae/miniforge3/envs/ultralytics/bin/python",
+  "toolkit_version": "2.3.2",
+  "zoo_commit": "837db8e992815ff8647eadb709f07067f4bc3a71"
+}

models/v2.3.2/detect/yolox_s/rk3588/int8/metadata.yaml

@@ -0,0 +1,90 @@
+task: detect
+batch: 1
+channels: 3
+imgsz:
+- 640
+- 640
+names:
+- person
+- bicycle
+- car
+- motorcycle
+- airplane
+- bus
+- train
+- truck
+- boat
+- traffic light
+- fire hydrant
+- stop sign
+- parking meter
+- bench
+- bird
+- cat
+- dog
+- horse
+- sheep
+- cow
+- elephant
+- bear
+- zebra
+- giraffe
+- backpack
+- umbrella
+- handbag
+- tie
+- suitcase
+- frisbee
+- skis
+- snowboard
+- sports ball
+- kite
+- baseball bat
+- baseball glove
+- skateboard
+- surfboard
+- tennis racket
+- bottle
+- wine glass
+- cup
+- fork
+- knife
+- spoon
+- bowl
+- banana
+- apple
+- sandwich
+- orange
+- broccoli
+- carrot
+- hot dog
+- pizza
+- donut
+- cake
+- chair
+- couch
+- potted plant
+- bed
+- dining table
+- 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
+head: yolox

models/v2.3.2/detect/yolox_s/rk3588/int8/model.rknn

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+version https://git-lfs.github.com/spec/v1
+oid sha256:81373b682a214c7ddd20850f36964550c63621f0645bb488efc015a5e496a7e2
+size 10568825