Publish versioned RKNN model variants and conversion sources

.gitattributes

@@ -85,3 +85,19 @@ models/v2.5.0/segment/yolov5s-seg/rk3576/fp16/model.rknn filter=lfs diff=lfs mer
 models/v2.5.0/segment/yolov5s-seg/rk3576/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
 models/v2.5.0/segment/yolov5s-seg/rk3588/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
 models/v2.5.0/segment/yolov5s-seg/rk3588/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/detect/yolov5m/rk3576/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/detect/yolov5m/rk3576/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/detect/yolov5m/rk3588/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/detect/yolov5m/rk3588/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/detect/yolov5n/rk3576/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/detect/yolov5n/rk3576/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/detect/yolov5n/rk3588/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/detect/yolov5n/rk3588/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/detect/yolov5s/rk3576/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/detect/yolov5s/rk3576/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/detect/yolov5s/rk3588/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/detect/yolov5s/rk3588/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/detect/yolov5s_relu/rk3576/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/detect/yolov5s_relu/rk3576/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/detect/yolov5s_relu/rk3588/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/v2.3.2/detect/yolov5s_relu/rk3588/int8/model.rknn filter=lfs diff=lfs merge=lfs -text

README.md

@@ -27,3 +27,9 @@ 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 versions and tasks
+
+- **2.3.2** has classification and detection.
+- **2.5.0** has detection and segmentation.
+- Detection includes n, s, m, and s-ReLU in FP16 and INT8 for both chips.

manifest.json

@@ -590,5 +590,261 @@
     "metadata_sha256": "3c1b2be2215bf35017e20676375d6e51c0527ebe1bbe8bdef01fc93f55c00bd7",
     "onnx_sha256": "f4f9436a16225dbee2441499568246ccbaf261e29bd866619f72b93a76f521da",
     "model_zoo_example": "https://github.com/airockchip/rknn_model_zoo/tree/837db8e992815ff8647eadb709f07067f4bc3a71/examples/yolov5_seg"
+  },
+  {
+    "name": "yolov5m",
+    "family": "yolov5",
+    "task": "detect",
+    "chip": "rk3576",
+    "precision": "fp16",
+    "path": "models/v2.3.2/detect/yolov5m/rk3576/fp16",
+    "sha256": "cb4c39193e20ba3eadd908472dcf95e59a4852b9456731be6a16102cd8ebd49a",
+    "toolkit_version": "2.3.2",
+    "source_url": "https://ftrg.zbox.filez.com/v2/delivery/data/95f00b0fc900458ba134f8b180b3f7a1/examples/yolov5/yolov5m.onnx",
+    "upstream_project": "https://github.com/airockchip/yolov5",
+    "conversion": "model-zoo-official",
+    "metadata_sha256": "7c162ff80553a28108ae07949e4e0995b951e16854eb5650441f188e705c8e90",
+    "onnx_sha256": "c12bf6352180e404db490097f596acbf5f14076cc5949995d9c1b218bfbe2d85",
+    "model_zoo_example": "https://github.com/airockchip/rknn_model_zoo/tree/837db8e992815ff8647eadb709f07067f4bc3a71/examples/yolov5"
+  },
+  {
+    "name": "yolov5m",
+    "family": "yolov5",
+    "task": "detect",
+    "chip": "rk3576",
+    "precision": "int8",
+    "path": "models/v2.3.2/detect/yolov5m/rk3576/int8",
+    "sha256": "1c7d2e115bc0372fd6001a6ba34a24f5b8734c249bdd50bd0acb210802e7563b",
+    "toolkit_version": "2.3.2",
+    "source_url": "https://ftrg.zbox.filez.com/v2/delivery/data/95f00b0fc900458ba134f8b180b3f7a1/examples/yolov5/yolov5m.onnx",
+    "upstream_project": "https://github.com/airockchip/yolov5",
+    "conversion": "model-zoo-official",
+    "metadata_sha256": "7c162ff80553a28108ae07949e4e0995b951e16854eb5650441f188e705c8e90",
+    "onnx_sha256": "c12bf6352180e404db490097f596acbf5f14076cc5949995d9c1b218bfbe2d85",
+    "model_zoo_example": "https://github.com/airockchip/rknn_model_zoo/tree/837db8e992815ff8647eadb709f07067f4bc3a71/examples/yolov5"
+  },
+  {
+    "name": "yolov5n",
+    "family": "yolov5",
+    "task": "detect",
+    "chip": "rk3576",
+    "precision": "fp16",
+    "path": "models/v2.3.2/detect/yolov5n/rk3576/fp16",
+    "sha256": "d2dc6828762010e26c870ff893f4575082168e95bd92007382992424e6844915",
+    "toolkit_version": "2.3.2",
+    "source_url": "https://ftrg.zbox.filez.com/v2/delivery/data/95f00b0fc900458ba134f8b180b3f7a1/examples/yolov5/yolov5n.onnx",
+    "upstream_project": "https://github.com/airockchip/yolov5",
+    "conversion": "model-zoo-official",
+    "metadata_sha256": "7c162ff80553a28108ae07949e4e0995b951e16854eb5650441f188e705c8e90",
+    "onnx_sha256": "b3237d0f59a5d90ff6ecec3dca220e0ada8abd929f8a158b08b12e1a3bad7232",
+    "model_zoo_example": "https://github.com/airockchip/rknn_model_zoo/tree/837db8e992815ff8647eadb709f07067f4bc3a71/examples/yolov5"
+  },
+  {
+    "name": "yolov5n",
+    "family": "yolov5",
+    "task": "detect",
+    "chip": "rk3576",
+    "precision": "int8",
+    "path": "models/v2.3.2/detect/yolov5n/rk3576/int8",
+    "sha256": "be84f726ff89c56adcb0e51b41aaf1b2cad88d9d4d46f6fbcc6121afd9f62036",
+    "toolkit_version": "2.3.2",
+    "source_url": "https://ftrg.zbox.filez.com/v2/delivery/data/95f00b0fc900458ba134f8b180b3f7a1/examples/yolov5/yolov5n.onnx",
+    "upstream_project": "https://github.com/airockchip/yolov5",
+    "conversion": "model-zoo-official",
+    "metadata_sha256": "7c162ff80553a28108ae07949e4e0995b951e16854eb5650441f188e705c8e90",
+    "onnx_sha256": "b3237d0f59a5d90ff6ecec3dca220e0ada8abd929f8a158b08b12e1a3bad7232",
+    "model_zoo_example": "https://github.com/airockchip/rknn_model_zoo/tree/837db8e992815ff8647eadb709f07067f4bc3a71/examples/yolov5"
+  },
+  {
+    "name": "yolov5s",
+    "family": "yolov5",
+    "task": "detect",
+    "chip": "rk3576",
+    "precision": "fp16",
+    "path": "models/v2.3.2/detect/yolov5s/rk3576/fp16",
+    "sha256": "70f5dd57fd40e0ec792337e794ce8889982273e794b3ca588d029885908262c3",
+    "toolkit_version": "2.3.2",
+    "source_url": "https://ftrg.zbox.filez.com/v2/delivery/data/95f00b0fc900458ba134f8b180b3f7a1/examples/yolov5/yolov5s.onnx",
+    "upstream_project": "https://github.com/airockchip/yolov5",
+    "conversion": "model-zoo-official",
+    "metadata_sha256": "7c162ff80553a28108ae07949e4e0995b951e16854eb5650441f188e705c8e90",
+    "onnx_sha256": "edae4dbd95819e576019161b76a881f064f56e8d4ae2029cc133769f108af008",
+    "model_zoo_example": "https://github.com/airockchip/rknn_model_zoo/tree/837db8e992815ff8647eadb709f07067f4bc3a71/examples/yolov5"
+  },
+  {
+    "name": "yolov5s",
+    "family": "yolov5",
+    "task": "detect",
+    "chip": "rk3576",
+    "precision": "int8",
+    "path": "models/v2.3.2/detect/yolov5s/rk3576/int8",
+    "sha256": "02aa12c7a1502fee97873129e7eb1604f1220ea164cb61599151295e1d6d6a39",
+    "toolkit_version": "2.3.2",
+    "source_url": "https://ftrg.zbox.filez.com/v2/delivery/data/95f00b0fc900458ba134f8b180b3f7a1/examples/yolov5/yolov5s.onnx",
+    "upstream_project": "https://github.com/airockchip/yolov5",
+    "conversion": "model-zoo-official",
+    "metadata_sha256": "7c162ff80553a28108ae07949e4e0995b951e16854eb5650441f188e705c8e90",
+    "onnx_sha256": "edae4dbd95819e576019161b76a881f064f56e8d4ae2029cc133769f108af008",
+    "model_zoo_example": "https://github.com/airockchip/rknn_model_zoo/tree/837db8e992815ff8647eadb709f07067f4bc3a71/examples/yolov5"
+  },
+  {
+    "name": "yolov5s_relu",
+    "family": "yolov5",
+    "task": "detect",
+    "chip": "rk3576",
+    "precision": "fp16",
+    "path": "models/v2.3.2/detect/yolov5s_relu/rk3576/fp16",
+    "sha256": "6da2e083f9c72e2881632ee022d40192132988e742e50769b28aff9b266e74ba",
+    "toolkit_version": "2.3.2",
+    "source_url": "https://ftrg.zbox.filez.com/v2/delivery/data/95f00b0fc900458ba134f8b180b3f7a1/examples/yolov5/yolov5s_relu.onnx",
+    "upstream_project": "https://github.com/airockchip/yolov5",
+    "conversion": "model-zoo-official",
+    "metadata_sha256": "7c162ff80553a28108ae07949e4e0995b951e16854eb5650441f188e705c8e90",
+    "onnx_sha256": "4811e423a87dfe3bc7a2c872c0b0af0db8385871954f56510a69dd75ffe2d086",
+    "model_zoo_example": "https://github.com/airockchip/rknn_model_zoo/tree/837db8e992815ff8647eadb709f07067f4bc3a71/examples/yolov5"
+  },
+  {
+    "name": "yolov5s_relu",
+    "family": "yolov5",
+    "task": "detect",
+    "chip": "rk3576",
+    "precision": "int8",
+    "path": "models/v2.3.2/detect/yolov5s_relu/rk3576/int8",
+    "sha256": "19b98ad8269a0afb194768abdb4f663d41529bf9b5dc7b71f7e2684644fa14ec",
+    "toolkit_version": "2.3.2",
+    "source_url": "https://ftrg.zbox.filez.com/v2/delivery/data/95f00b0fc900458ba134f8b180b3f7a1/examples/yolov5/yolov5s_relu.onnx",
+    "upstream_project": "https://github.com/airockchip/yolov5",
+    "conversion": "model-zoo-official",
+    "metadata_sha256": "7c162ff80553a28108ae07949e4e0995b951e16854eb5650441f188e705c8e90",
+    "onnx_sha256": "4811e423a87dfe3bc7a2c872c0b0af0db8385871954f56510a69dd75ffe2d086",
+    "model_zoo_example": "https://github.com/airockchip/rknn_model_zoo/tree/837db8e992815ff8647eadb709f07067f4bc3a71/examples/yolov5"
+  },
+  {
+    "name": "yolov5m",
+    "family": "yolov5",
+    "task": "detect",
+    "chip": "rk3588",
+    "precision": "fp16",
+    "path": "models/v2.3.2/detect/yolov5m/rk3588/fp16",
+    "sha256": "4baeb2fe3b570ee027779ab60040c1804585d0c8843ca7cc86e4ec5566d72f8f",
+    "toolkit_version": "2.3.2",
+    "source_url": "https://ftrg.zbox.filez.com/v2/delivery/data/95f00b0fc900458ba134f8b180b3f7a1/examples/yolov5/yolov5m.onnx",
+    "upstream_project": "https://github.com/airockchip/yolov5",
+    "conversion": "model-zoo-official",
+    "metadata_sha256": "64564ec56250992504a936885fc82b0a0b80b5cc07ec37766a1b417cdc8cf65e",
+    "onnx_sha256": "c12bf6352180e404db490097f596acbf5f14076cc5949995d9c1b218bfbe2d85",
+    "model_zoo_example": "https://github.com/airockchip/rknn_model_zoo/tree/837db8e992815ff8647eadb709f07067f4bc3a71/examples/yolov5"
+  },
+  {
+    "name": "yolov5m",
+    "family": "yolov5",
+    "task": "detect",
+    "chip": "rk3588",
+    "precision": "int8",
+    "path": "models/v2.3.2/detect/yolov5m/rk3588/int8",
+    "sha256": "94a4f2cd297ab7188f5eb0c5915b2de4656e14b45f030083631a962b675e683c",
+    "toolkit_version": "2.3.2",
+    "source_url": "https://ftrg.zbox.filez.com/v2/delivery/data/95f00b0fc900458ba134f8b180b3f7a1/examples/yolov5/yolov5m.onnx",
+    "upstream_project": "https://github.com/airockchip/yolov5",
+    "conversion": "model-zoo-official",
+    "metadata_sha256": "64564ec56250992504a936885fc82b0a0b80b5cc07ec37766a1b417cdc8cf65e",
+    "onnx_sha256": "c12bf6352180e404db490097f596acbf5f14076cc5949995d9c1b218bfbe2d85",
+    "model_zoo_example": "https://github.com/airockchip/rknn_model_zoo/tree/837db8e992815ff8647eadb709f07067f4bc3a71/examples/yolov5"
+  },
+  {
+    "name": "yolov5n",
+    "family": "yolov5",
+    "task": "detect",
+    "chip": "rk3588",
+    "precision": "fp16",
+    "path": "models/v2.3.2/detect/yolov5n/rk3588/fp16",
+    "sha256": "c2402d3ae52b8cd2ef190899171735ad29accaa90415f682935aff1b28b195ab",
+    "toolkit_version": "2.3.2",
+    "source_url": "https://ftrg.zbox.filez.com/v2/delivery/data/95f00b0fc900458ba134f8b180b3f7a1/examples/yolov5/yolov5n.onnx",
+    "upstream_project": "https://github.com/airockchip/yolov5",
+    "conversion": "model-zoo-official",
+    "metadata_sha256": "64564ec56250992504a936885fc82b0a0b80b5cc07ec37766a1b417cdc8cf65e",
+    "onnx_sha256": "b3237d0f59a5d90ff6ecec3dca220e0ada8abd929f8a158b08b12e1a3bad7232",
+    "model_zoo_example": "https://github.com/airockchip/rknn_model_zoo/tree/837db8e992815ff8647eadb709f07067f4bc3a71/examples/yolov5"
+  },
+  {
+    "name": "yolov5n",
+    "family": "yolov5",
+    "task": "detect",
+    "chip": "rk3588",
+    "precision": "int8",
+    "path": "models/v2.3.2/detect/yolov5n/rk3588/int8",
+    "sha256": "e7630a583e35a85438cec72c371df392c79291fb6039f4f167ba8fd01b6239ae",
+    "toolkit_version": "2.3.2",
+    "source_url": "https://ftrg.zbox.filez.com/v2/delivery/data/95f00b0fc900458ba134f8b180b3f7a1/examples/yolov5/yolov5n.onnx",
+    "upstream_project": "https://github.com/airockchip/yolov5",
+    "conversion": "model-zoo-official",
+    "metadata_sha256": "64564ec56250992504a936885fc82b0a0b80b5cc07ec37766a1b417cdc8cf65e",
+    "onnx_sha256": "b3237d0f59a5d90ff6ecec3dca220e0ada8abd929f8a158b08b12e1a3bad7232",
+    "model_zoo_example": "https://github.com/airockchip/rknn_model_zoo/tree/837db8e992815ff8647eadb709f07067f4bc3a71/examples/yolov5"
+  },
+  {
+    "name": "yolov5s",
+    "family": "yolov5",
+    "task": "detect",
+    "chip": "rk3588",
+    "precision": "fp16",
+    "path": "models/v2.3.2/detect/yolov5s/rk3588/fp16",
+    "sha256": "3442bc0db8712edca0a912e3ba3c90d84fef20965874266f4c43d0974720b617",
+    "toolkit_version": "2.3.2",
+    "source_url": "https://ftrg.zbox.filez.com/v2/delivery/data/95f00b0fc900458ba134f8b180b3f7a1/examples/yolov5/yolov5s.onnx",
+    "upstream_project": "https://github.com/airockchip/yolov5",
+    "conversion": "model-zoo-official",
+    "metadata_sha256": "64564ec56250992504a936885fc82b0a0b80b5cc07ec37766a1b417cdc8cf65e",
+    "onnx_sha256": "edae4dbd95819e576019161b76a881f064f56e8d4ae2029cc133769f108af008",
+    "model_zoo_example": "https://github.com/airockchip/rknn_model_zoo/tree/837db8e992815ff8647eadb709f07067f4bc3a71/examples/yolov5"
+  },
+  {
+    "name": "yolov5s",
+    "family": "yolov5",
+    "task": "detect",
+    "chip": "rk3588",
+    "precision": "int8",
+    "path": "models/v2.3.2/detect/yolov5s/rk3588/int8",
+    "sha256": "3dda7c7c7508d19afce0e8af0d233301abc23757418b0ae2a41ce9191b277932",
+    "toolkit_version": "2.3.2",
+    "source_url": "https://ftrg.zbox.filez.com/v2/delivery/data/95f00b0fc900458ba134f8b180b3f7a1/examples/yolov5/yolov5s.onnx",
+    "upstream_project": "https://github.com/airockchip/yolov5",
+    "conversion": "model-zoo-official",
+    "metadata_sha256": "64564ec56250992504a936885fc82b0a0b80b5cc07ec37766a1b417cdc8cf65e",
+    "onnx_sha256": "edae4dbd95819e576019161b76a881f064f56e8d4ae2029cc133769f108af008",
+    "model_zoo_example": "https://github.com/airockchip/rknn_model_zoo/tree/837db8e992815ff8647eadb709f07067f4bc3a71/examples/yolov5"
+  },
+  {
+    "name": "yolov5s_relu",
+    "family": "yolov5",
+    "task": "detect",
+    "chip": "rk3588",
+    "precision": "fp16",
+    "path": "models/v2.3.2/detect/yolov5s_relu/rk3588/fp16",
+    "sha256": "ffa214ef14d8413b31ecba7e71ac1dfc1104b7d1007f61f9d0ac8266634d0098",
+    "toolkit_version": "2.3.2",
+    "source_url": "https://ftrg.zbox.filez.com/v2/delivery/data/95f00b0fc900458ba134f8b180b3f7a1/examples/yolov5/yolov5s_relu.onnx",
+    "upstream_project": "https://github.com/airockchip/yolov5",
+    "conversion": "model-zoo-official",
+    "metadata_sha256": "64564ec56250992504a936885fc82b0a0b80b5cc07ec37766a1b417cdc8cf65e",
+    "onnx_sha256": "4811e423a87dfe3bc7a2c872c0b0af0db8385871954f56510a69dd75ffe2d086",
+    "model_zoo_example": "https://github.com/airockchip/rknn_model_zoo/tree/837db8e992815ff8647eadb709f07067f4bc3a71/examples/yolov5"
+  },
+  {
+    "name": "yolov5s_relu",
+    "family": "yolov5",
+    "task": "detect",
+    "chip": "rk3588",
+    "precision": "int8",
+    "path": "models/v2.3.2/detect/yolov5s_relu/rk3588/int8",
+    "sha256": "9fcebe21da6be789c951d92ae6f1d2ae8853b9196b580644faa672dc93fc7de6",
+    "toolkit_version": "2.3.2",
+    "source_url": "https://ftrg.zbox.filez.com/v2/delivery/data/95f00b0fc900458ba134f8b180b3f7a1/examples/yolov5/yolov5s_relu.onnx",
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models/v2.3.2/detect/yolov5s_relu/rk3576/int8/model.rknn

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models/v2.3.2/detect/yolov5s_relu/rk3588/fp16/conversion.json

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+{
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models/v2.3.2/detect/yolov5s_relu/rk3588/fp16/metadata.yaml

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models/v2.3.2/detect/yolov5s_relu/rk3588/int8/metadata.yaml

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