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YOLOv10-RKNN2

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HanzoHuang commited on
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1 Parent(s): 24e7948

Organize RKNN models by Toolkit2 version

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Files changed (50) hide show
  1. .gitattributes +24 -0
  2. README.md +3 -1
  3. manifest.json +24 -24
  4. models/{detect → v2.3.2/detect}/yolov10b/rk3576/fp16/metadata.yaml +0 -0
  5. models/{detect → v2.3.2/detect}/yolov10b/rk3576/fp16/model.rknn +0 -0
  6. models/{detect → v2.3.2/detect}/yolov10b/rk3576/int8/metadata.yaml +0 -0
  7. models/{detect → v2.3.2/detect}/yolov10b/rk3576/int8/model.rknn +0 -0
  8. models/{detect → v2.3.2/detect}/yolov10b/rk3588/fp16/metadata.yaml +0 -0
  9. models/{detect → v2.3.2/detect}/yolov10b/rk3588/fp16/model.rknn +0 -0
  10. models/{detect → v2.3.2/detect}/yolov10b/rk3588/int8/metadata.yaml +0 -0
  11. models/{detect → v2.3.2/detect}/yolov10b/rk3588/int8/model.rknn +0 -0
  12. models/{detect → v2.3.2/detect}/yolov10l/rk3576/fp16/metadata.yaml +0 -0
  13. models/{detect → v2.3.2/detect}/yolov10l/rk3576/fp16/model.rknn +0 -0
  14. models/{detect → v2.3.2/detect}/yolov10l/rk3576/int8/metadata.yaml +0 -0
  15. models/{detect → v2.3.2/detect}/yolov10l/rk3576/int8/model.rknn +0 -0
  16. models/{detect → v2.3.2/detect}/yolov10l/rk3588/fp16/metadata.yaml +0 -0
  17. models/{detect → v2.3.2/detect}/yolov10l/rk3588/fp16/model.rknn +0 -0
  18. models/{detect → v2.3.2/detect}/yolov10l/rk3588/int8/metadata.yaml +0 -0
  19. models/{detect → v2.3.2/detect}/yolov10l/rk3588/int8/model.rknn +0 -0
  20. models/{detect → v2.3.2/detect}/yolov10m/rk3576/fp16/metadata.yaml +0 -0
  21. models/{detect → v2.3.2/detect}/yolov10m/rk3576/fp16/model.rknn +0 -0
  22. models/{detect → v2.3.2/detect}/yolov10m/rk3576/int8/metadata.yaml +0 -0
  23. models/{detect → v2.3.2/detect}/yolov10m/rk3576/int8/model.rknn +0 -0
  24. models/{detect → v2.3.2/detect}/yolov10m/rk3588/fp16/metadata.yaml +0 -0
  25. models/{detect → v2.3.2/detect}/yolov10m/rk3588/fp16/model.rknn +0 -0
  26. models/{detect → v2.3.2/detect}/yolov10m/rk3588/int8/metadata.yaml +0 -0
  27. models/{detect → v2.3.2/detect}/yolov10m/rk3588/int8/model.rknn +0 -0
  28. models/{detect → v2.3.2/detect}/yolov10n/rk3576/fp16/metadata.yaml +0 -0
  29. models/{detect → v2.3.2/detect}/yolov10n/rk3576/fp16/model.rknn +0 -0
  30. models/{detect → v2.3.2/detect}/yolov10n/rk3576/int8/metadata.yaml +0 -0
  31. models/{detect → v2.3.2/detect}/yolov10n/rk3576/int8/model.rknn +0 -0
  32. models/{detect → v2.3.2/detect}/yolov10n/rk3588/fp16/metadata.yaml +0 -0
  33. models/{detect → v2.3.2/detect}/yolov10n/rk3588/fp16/model.rknn +0 -0
  34. models/{detect → v2.3.2/detect}/yolov10n/rk3588/int8/metadata.yaml +0 -0
  35. models/{detect → v2.3.2/detect}/yolov10n/rk3588/int8/model.rknn +0 -0
  36. models/{detect → v2.3.2/detect}/yolov10s/rk3576/fp16/metadata.yaml +0 -0
  37. models/{detect → v2.3.2/detect}/yolov10s/rk3576/fp16/model.rknn +0 -0
  38. models/{detect → v2.3.2/detect}/yolov10s/rk3576/int8/metadata.yaml +0 -0
  39. models/{detect → v2.3.2/detect}/yolov10s/rk3576/int8/model.rknn +0 -0
  40. models/{detect → v2.3.2/detect}/yolov10s/rk3588/fp16/metadata.yaml +0 -0
  41. models/{detect → v2.3.2/detect}/yolov10s/rk3588/fp16/model.rknn +0 -0
  42. models/{detect → v2.3.2/detect}/yolov10s/rk3588/int8/metadata.yaml +0 -0
  43. models/{detect → v2.3.2/detect}/yolov10s/rk3588/int8/model.rknn +0 -0
  44. models/{detect → v2.3.2/detect}/yolov10x/rk3576/fp16/metadata.yaml +0 -0
  45. models/{detect → v2.3.2/detect}/yolov10x/rk3576/fp16/model.rknn +0 -0
  46. models/{detect → v2.3.2/detect}/yolov10x/rk3576/int8/metadata.yaml +0 -0
  47. models/{detect → v2.3.2/detect}/yolov10x/rk3576/int8/model.rknn +0 -0
  48. models/{detect → v2.3.2/detect}/yolov10x/rk3588/fp16/metadata.yaml +0 -0
  49. models/{detect → v2.3.2/detect}/yolov10x/rk3588/fp16/model.rknn +0 -0
  50. models/{detect → v2.3.2/detect}/yolov10x/rk3588/int8/metadata.yaml +0 -0
.gitattributes CHANGED
@@ -57,3 +57,27 @@ models/detect/yolov10s/rk3588/int8/model.rknn filter=lfs diff=lfs merge=lfs -tex
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  models/detect/yolov10s/rk3576/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
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  models/detect/yolov10s/rk3588/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
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  models/detect/yolov10s/rk3576/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  models/detect/yolov10s/rk3576/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
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  models/detect/yolov10s/rk3588/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
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  models/detect/yolov10s/rk3576/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
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+ models/v2.3.2/detect/yolov10b/rk3576/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
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+ models/v2.3.2/detect/yolov10b/rk3576/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
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+ models/v2.3.2/detect/yolov10b/rk3588/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
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+ models/v2.3.2/detect/yolov10b/rk3588/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
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+ models/v2.3.2/detect/yolov10l/rk3576/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
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+ models/v2.3.2/detect/yolov10l/rk3576/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
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+ models/v2.3.2/detect/yolov10l/rk3588/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
67
+ models/v2.3.2/detect/yolov10l/rk3588/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
68
+ models/v2.3.2/detect/yolov10m/rk3576/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
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+ models/v2.3.2/detect/yolov10m/rk3576/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
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+ models/v2.3.2/detect/yolov10m/rk3588/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
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+ models/v2.3.2/detect/yolov10m/rk3588/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
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+ models/v2.3.2/detect/yolov10n/rk3576/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
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+ models/v2.3.2/detect/yolov10n/rk3576/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
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+ models/v2.3.2/detect/yolov10n/rk3588/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
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+ models/v2.3.2/detect/yolov10n/rk3588/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
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+ models/v2.3.2/detect/yolov10s/rk3576/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
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+ models/v2.3.2/detect/yolov10s/rk3576/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
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+ models/v2.3.2/detect/yolov10s/rk3588/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
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+ models/v2.3.2/detect/yolov10s/rk3588/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
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+ models/v2.3.2/detect/yolov10x/rk3576/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
81
+ models/v2.3.2/detect/yolov10x/rk3576/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
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+ models/v2.3.2/detect/yolov10x/rk3588/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
83
+ models/v2.3.2/detect/yolov10x/rk3588/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
README.md CHANGED
@@ -14,7 +14,7 @@ YOLO exports for RK3576 and RK3588. All models were compiled with RKNN Toolkit2
14
 
15
  Available tasks: detect.
16
 
17
- Download `model.rknn` and `metadata.yaml` from the same folder under `models/<task>/<variant>/<chip>/<precision>/`.
18
 
19
  The manifest records model and metadata checksums. Original checkpoints, conversion scripts, and their provenance are in `source/`.
20
 
@@ -23,3 +23,5 @@ The models and checkpoints are distributed under AGPL-3.0. See `LICENSE` and `so
23
  We converted the detection models on Seeed-Dev using RKNN Toolkit2 2.3.2. Rockchip Model Zoo supplied the ONNX inputs. Each detection entry in the manifest records the input ONNX and output RKNN checksums.
24
 
25
  The detection ONNX graphs and their Model Zoo download URLs are recorded in `source/onnx/` and `manifest.json`. These graphs declare the AGPL-3.0 license and their Ultralytics exporter versions.
 
 
 
14
 
15
  Available tasks: detect.
16
 
17
+ Download `model.rknn` and `metadata.yaml` from the same folder under `models/<toolkit-version>/<task>/<variant>/<chip>/<precision>/`.
18
 
19
  The manifest records model and metadata checksums. Original checkpoints, conversion scripts, and their provenance are in `source/`.
20
 
 
23
  We converted the detection models on Seeed-Dev using RKNN Toolkit2 2.3.2. Rockchip Model Zoo supplied the ONNX inputs. Each detection entry in the manifest records the input ONNX and output RKNN checksums.
24
 
25
  The detection ONNX graphs and their Model Zoo download URLs are recorded in `source/onnx/` and `manifest.json`. These graphs declare the AGPL-3.0 license and their Ultralytics exporter versions.
26
+
27
+ Models are organized by RKNN Toolkit2 version under `models/v<version>/`. Each model and its metadata share a folder.
manifest.json CHANGED
@@ -5,7 +5,7 @@
5
  "task": "detect",
6
  "chip": "rk3576",
7
  "precision": "fp16",
8
- "path": "models/detect/yolov10b/rk3576/fp16",
9
  "weights": "source/weights/yolov10b.pt",
10
  "sha256": "b5c846aaf5d9b129b9f661f1538429c1ba82fadd97a48f075d3451d51a456321",
11
  "onnx_sha256": "a3883d3c6a2d6919fb6b4e247f4d576a03f523f7309ea8aa7782a22cc32c28f4",
@@ -19,7 +19,7 @@
19
  "task": "detect",
20
  "chip": "rk3576",
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  "precision": "int8",
22
- "path": "models/detect/yolov10b/rk3576/int8",
23
  "weights": "source/weights/yolov10b.pt",
24
  "sha256": "cb9d8473029d9f53f734c7953bf1e653a3d87bea520ee7f23c60f6d343341485",
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  "onnx_sha256": "a3883d3c6a2d6919fb6b4e247f4d576a03f523f7309ea8aa7782a22cc32c28f4",
@@ -33,7 +33,7 @@
33
  "task": "detect",
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  "chip": "rk3576",
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  "precision": "fp16",
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- "path": "models/detect/yolov10l/rk3576/fp16",
37
  "weights": "source/weights/yolov10l.pt",
38
  "sha256": "8fa5a0e9917d88f6fde41288d51aea579c2cbc23d18e1965dbf193a0c0084a46",
39
  "onnx_sha256": "3afc0aac9c310803570b020ae11b18d3a845a134c5d97c0214b9dbd6b9a0fd3c",
@@ -47,7 +47,7 @@
47
  "task": "detect",
48
  "chip": "rk3576",
49
  "precision": "int8",
50
- "path": "models/detect/yolov10l/rk3576/int8",
51
  "weights": "source/weights/yolov10l.pt",
52
  "sha256": "58d4a1cb0e43d349295bd37f8fae720783f85825b308c6cdb416ae6fc75cb5c0",
53
  "onnx_sha256": "3afc0aac9c310803570b020ae11b18d3a845a134c5d97c0214b9dbd6b9a0fd3c",
@@ -61,7 +61,7 @@
61
  "task": "detect",
62
  "chip": "rk3576",
63
  "precision": "fp16",
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- "path": "models/detect/yolov10m/rk3576/fp16",
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  "weights": "source/weights/yolov10m.pt",
66
  "sha256": "49e8a909ad908a4cb148c5f739b86b6975758c1ec90aa18c29fe2fd4ae59699d",
67
  "onnx_sha256": "9fe172646c19e30a319717a6dd90b12bc7b322745724061f4ea1d4a010464338",
@@ -75,7 +75,7 @@
75
  "task": "detect",
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  "chip": "rk3576",
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  "precision": "int8",
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- "path": "models/detect/yolov10m/rk3576/int8",
79
  "weights": "source/weights/yolov10m.pt",
80
  "sha256": "a72397c8bd078cb91775629b914e9052f29f9d17eb8de478bd9a84453db385a1",
81
  "onnx_sha256": "9fe172646c19e30a319717a6dd90b12bc7b322745724061f4ea1d4a010464338",
@@ -89,7 +89,7 @@
89
  "task": "detect",
90
  "chip": "rk3576",
91
  "precision": "fp16",
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- "path": "models/detect/yolov10x/rk3576/fp16",
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  "weights": "source/weights/yolov10x.pt",
94
  "sha256": "96b5ee8fc15ac4938ba9023bca1633a8efcba8f3a32ffe0d1623645bf1fbf696",
95
  "onnx_sha256": "eb4f4955ac71016d3a8f17a109cee3f4f27622f6a80e922e3fa8ae9de5e69cf9",
@@ -103,7 +103,7 @@
103
  "task": "detect",
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  "chip": "rk3576",
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  "precision": "int8",
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- "path": "models/detect/yolov10x/rk3576/int8",
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  "weights": "source/weights/yolov10x.pt",
108
  "sha256": "3d2096d1158ec9a593e785730936211e6ec23ff80b359d87651ccd1e48c35431",
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  "onnx_sha256": "eb4f4955ac71016d3a8f17a109cee3f4f27622f6a80e922e3fa8ae9de5e69cf9",
@@ -117,7 +117,7 @@
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  "task": "detect",
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  "chip": "rk3588",
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  "precision": "fp16",
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- "path": "models/detect/yolov10b/rk3588/fp16",
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  "weights": "source/weights/yolov10b.pt",
122
  "sha256": "923d5729e452161bcac1d57d1645bd1d3a73b1f7b94058d3c87e31f64e6df6e6",
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  "onnx_sha256": "a3883d3c6a2d6919fb6b4e247f4d576a03f523f7309ea8aa7782a22cc32c28f4",
@@ -131,7 +131,7 @@
131
  "task": "detect",
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  "chip": "rk3588",
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  "precision": "int8",
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- "path": "models/detect/yolov10b/rk3588/int8",
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  "weights": "source/weights/yolov10b.pt",
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  "sha256": "713101481cbf090e6f72f38a5e022b7e6459d25f85104dbfcfe88a7d7df0792c",
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  "onnx_sha256": "a3883d3c6a2d6919fb6b4e247f4d576a03f523f7309ea8aa7782a22cc32c28f4",
@@ -145,7 +145,7 @@
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  "task": "detect",
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  "chip": "rk3588",
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  "precision": "fp16",
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- "path": "models/detect/yolov10l/rk3588/fp16",
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  "weights": "source/weights/yolov10l.pt",
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  "sha256": "57bc000ddf42c3cc7ed797ca0d424cc02252d1b67af06a7aa9980e92b32e626d",
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  "onnx_sha256": "3afc0aac9c310803570b020ae11b18d3a845a134c5d97c0214b9dbd6b9a0fd3c",
@@ -159,7 +159,7 @@
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  "task": "detect",
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  "chip": "rk3588",
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  "precision": "int8",
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- "path": "models/detect/yolov10l/rk3588/int8",
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  "weights": "source/weights/yolov10l.pt",
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  "sha256": "a2eb64cfcb34ca048b13e81c130fd413ba66985f623b14c1d548b6cfce907e75",
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  "onnx_sha256": "3afc0aac9c310803570b020ae11b18d3a845a134c5d97c0214b9dbd6b9a0fd3c",
@@ -173,7 +173,7 @@
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  "task": "detect",
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  "chip": "rk3588",
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  "precision": "fp16",
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- "path": "models/detect/yolov10m/rk3588/fp16",
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  "weights": "source/weights/yolov10m.pt",
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  "sha256": "06b6a963149f0c3b89273d16b931f96b406af5819c4ceedaa187762d0f9593ce",
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  "onnx_sha256": "9fe172646c19e30a319717a6dd90b12bc7b322745724061f4ea1d4a010464338",
@@ -187,7 +187,7 @@
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  "task": "detect",
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  "chip": "rk3588",
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  "precision": "int8",
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- "path": "models/detect/yolov10m/rk3588/int8",
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  "weights": "source/weights/yolov10m.pt",
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  "sha256": "34dbb49355360dc871c6c5c0178cafb548bf0932a589ddf35dcda923771cba17",
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  "onnx_sha256": "9fe172646c19e30a319717a6dd90b12bc7b322745724061f4ea1d4a010464338",
@@ -201,7 +201,7 @@
201
  "task": "detect",
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  "chip": "rk3588",
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  "precision": "fp16",
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- "path": "models/detect/yolov10x/rk3588/fp16",
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  "weights": "source/weights/yolov10x.pt",
206
  "sha256": "8151640ee75d5974af11b38492321be37cf733cf31363da03e616ecec5d93cc6",
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  "onnx_sha256": "eb4f4955ac71016d3a8f17a109cee3f4f27622f6a80e922e3fa8ae9de5e69cf9",
@@ -215,7 +215,7 @@
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  "task": "detect",
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  "chip": "rk3588",
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  "precision": "int8",
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- "path": "models/detect/yolov10x/rk3588/int8",
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  "weights": "source/weights/yolov10x.pt",
220
  "sha256": "34a5c1f38af74c29dd2a2bdfe16aacddd17b513fe2eb0cb562b1485d642cc432",
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  "onnx_sha256": "eb4f4955ac71016d3a8f17a109cee3f4f27622f6a80e922e3fa8ae9de5e69cf9",
@@ -229,7 +229,7 @@
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  "task": "detect",
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  "chip": "rk3576",
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  "precision": "fp16",
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- "path": "models/detect/yolov10n/rk3576/fp16",
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  "sha256": "3fb18a79d2106cbd4f8e55f0e3cc3bf09ef122f6a0aec5715049a9877b7efcbc",
234
  "metadata_sha256": "daa0d0a1b2c0a34afc2f0fe12a1e32ec6e315bd668839084cdf2f53974293ab2",
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  "onnx_sha256": "4a925bcb01b261ab97955bfe6c0dd5ad2e638f6db13198d4b6602750870603f6",
@@ -244,7 +244,7 @@
244
  "task": "detect",
245
  "chip": "rk3576",
246
  "precision": "int8",
247
- "path": "models/detect/yolov10n/rk3576/int8",
248
  "sha256": "7881260d2242494fb52a3ac94196df0923283861e8ce1d5fd81bd2e885812096",
249
  "metadata_sha256": "daa0d0a1b2c0a34afc2f0fe12a1e32ec6e315bd668839084cdf2f53974293ab2",
250
  "onnx_sha256": "4a925bcb01b261ab97955bfe6c0dd5ad2e638f6db13198d4b6602750870603f6",
@@ -259,7 +259,7 @@
259
  "task": "detect",
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  "chip": "rk3576",
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  "precision": "fp16",
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- "path": "models/detect/yolov10s/rk3576/fp16",
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  "sha256": "ea4d84e1e02b2459d68cf292389fdb11e577bf26ca024916a1cb2c242c172f90",
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  "metadata_sha256": "daa0d0a1b2c0a34afc2f0fe12a1e32ec6e315bd668839084cdf2f53974293ab2",
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  "onnx_sha256": "50dcfb1722cb5aeb0a2e29515c000dd76aa57f1bad49de8fa0344af6ce6221a2",
@@ -274,7 +274,7 @@
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  "task": "detect",
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  "chip": "rk3576",
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  "precision": "int8",
277
- "path": "models/detect/yolov10s/rk3576/int8",
278
  "sha256": "e585a78e741c4013d4c35f7d76ea6837b1bc252a7c0aef88cc3c8e9c79c6ccfb",
279
  "metadata_sha256": "daa0d0a1b2c0a34afc2f0fe12a1e32ec6e315bd668839084cdf2f53974293ab2",
280
  "onnx_sha256": "50dcfb1722cb5aeb0a2e29515c000dd76aa57f1bad49de8fa0344af6ce6221a2",
@@ -289,7 +289,7 @@
289
  "task": "detect",
290
  "chip": "rk3588",
291
  "precision": "fp16",
292
- "path": "models/detect/yolov10n/rk3588/fp16",
293
  "sha256": "2c1cd3e89865824954f84484c3590c792cc40409a9ade96745b93ce4407fb561",
294
  "metadata_sha256": "3cf419497dcfb3575faf443705935624cadc60526d145fec2886f9f7cb0abd50",
295
  "onnx_sha256": "4a925bcb01b261ab97955bfe6c0dd5ad2e638f6db13198d4b6602750870603f6",
@@ -304,7 +304,7 @@
304
  "task": "detect",
305
  "chip": "rk3588",
306
  "precision": "int8",
307
- "path": "models/detect/yolov10n/rk3588/int8",
308
  "sha256": "2eb21a78b6c9ed2e22288b4c72b1ee0bbba34362b844cbb63614ec109f0fa5d7",
309
  "metadata_sha256": "3cf419497dcfb3575faf443705935624cadc60526d145fec2886f9f7cb0abd50",
310
  "onnx_sha256": "4a925bcb01b261ab97955bfe6c0dd5ad2e638f6db13198d4b6602750870603f6",
@@ -319,7 +319,7 @@
319
  "task": "detect",
320
  "chip": "rk3588",
321
  "precision": "fp16",
322
- "path": "models/detect/yolov10s/rk3588/fp16",
323
  "sha256": "b25d09b86c52876b759536a5481369c9bd316abcb131cdbc4448b7e7fbca3b00",
324
  "metadata_sha256": "3cf419497dcfb3575faf443705935624cadc60526d145fec2886f9f7cb0abd50",
325
  "onnx_sha256": "50dcfb1722cb5aeb0a2e29515c000dd76aa57f1bad49de8fa0344af6ce6221a2",
@@ -334,7 +334,7 @@
334
  "task": "detect",
335
  "chip": "rk3588",
336
  "precision": "int8",
337
- "path": "models/detect/yolov10s/rk3588/int8",
338
  "sha256": "86237e6bccb145e749c1fd2e40be73fe5193d745c58f89c45eaab6f819419971",
339
  "metadata_sha256": "3cf419497dcfb3575faf443705935624cadc60526d145fec2886f9f7cb0abd50",
340
  "onnx_sha256": "50dcfb1722cb5aeb0a2e29515c000dd76aa57f1bad49de8fa0344af6ce6221a2",
 
5
  "task": "detect",
6
  "chip": "rk3576",
7
  "precision": "fp16",
8
+ "path": "models/v2.3.2/detect/yolov10b/rk3576/fp16",
9
  "weights": "source/weights/yolov10b.pt",
10
  "sha256": "b5c846aaf5d9b129b9f661f1538429c1ba82fadd97a48f075d3451d51a456321",
11
  "onnx_sha256": "a3883d3c6a2d6919fb6b4e247f4d576a03f523f7309ea8aa7782a22cc32c28f4",
 
19
  "task": "detect",
20
  "chip": "rk3576",
21
  "precision": "int8",
22
+ "path": "models/v2.3.2/detect/yolov10b/rk3576/int8",
23
  "weights": "source/weights/yolov10b.pt",
24
  "sha256": "cb9d8473029d9f53f734c7953bf1e653a3d87bea520ee7f23c60f6d343341485",
25
  "onnx_sha256": "a3883d3c6a2d6919fb6b4e247f4d576a03f523f7309ea8aa7782a22cc32c28f4",
 
33
  "task": "detect",
34
  "chip": "rk3576",
35
  "precision": "fp16",
36
+ "path": "models/v2.3.2/detect/yolov10l/rk3576/fp16",
37
  "weights": "source/weights/yolov10l.pt",
38
  "sha256": "8fa5a0e9917d88f6fde41288d51aea579c2cbc23d18e1965dbf193a0c0084a46",
39
  "onnx_sha256": "3afc0aac9c310803570b020ae11b18d3a845a134c5d97c0214b9dbd6b9a0fd3c",
 
47
  "task": "detect",
48
  "chip": "rk3576",
49
  "precision": "int8",
50
+ "path": "models/v2.3.2/detect/yolov10l/rk3576/int8",
51
  "weights": "source/weights/yolov10l.pt",
52
  "sha256": "58d4a1cb0e43d349295bd37f8fae720783f85825b308c6cdb416ae6fc75cb5c0",
53
  "onnx_sha256": "3afc0aac9c310803570b020ae11b18d3a845a134c5d97c0214b9dbd6b9a0fd3c",
 
61
  "task": "detect",
62
  "chip": "rk3576",
63
  "precision": "fp16",
64
+ "path": "models/v2.3.2/detect/yolov10m/rk3576/fp16",
65
  "weights": "source/weights/yolov10m.pt",
66
  "sha256": "49e8a909ad908a4cb148c5f739b86b6975758c1ec90aa18c29fe2fd4ae59699d",
67
  "onnx_sha256": "9fe172646c19e30a319717a6dd90b12bc7b322745724061f4ea1d4a010464338",
 
75
  "task": "detect",
76
  "chip": "rk3576",
77
  "precision": "int8",
78
+ "path": "models/v2.3.2/detect/yolov10m/rk3576/int8",
79
  "weights": "source/weights/yolov10m.pt",
80
  "sha256": "a72397c8bd078cb91775629b914e9052f29f9d17eb8de478bd9a84453db385a1",
81
  "onnx_sha256": "9fe172646c19e30a319717a6dd90b12bc7b322745724061f4ea1d4a010464338",
 
89
  "task": "detect",
90
  "chip": "rk3576",
91
  "precision": "fp16",
92
+ "path": "models/v2.3.2/detect/yolov10x/rk3576/fp16",
93
  "weights": "source/weights/yolov10x.pt",
94
  "sha256": "96b5ee8fc15ac4938ba9023bca1633a8efcba8f3a32ffe0d1623645bf1fbf696",
95
  "onnx_sha256": "eb4f4955ac71016d3a8f17a109cee3f4f27622f6a80e922e3fa8ae9de5e69cf9",
 
103
  "task": "detect",
104
  "chip": "rk3576",
105
  "precision": "int8",
106
+ "path": "models/v2.3.2/detect/yolov10x/rk3576/int8",
107
  "weights": "source/weights/yolov10x.pt",
108
  "sha256": "3d2096d1158ec9a593e785730936211e6ec23ff80b359d87651ccd1e48c35431",
109
  "onnx_sha256": "eb4f4955ac71016d3a8f17a109cee3f4f27622f6a80e922e3fa8ae9de5e69cf9",
 
117
  "task": "detect",
118
  "chip": "rk3588",
119
  "precision": "fp16",
120
+ "path": "models/v2.3.2/detect/yolov10b/rk3588/fp16",
121
  "weights": "source/weights/yolov10b.pt",
122
  "sha256": "923d5729e452161bcac1d57d1645bd1d3a73b1f7b94058d3c87e31f64e6df6e6",
123
  "onnx_sha256": "a3883d3c6a2d6919fb6b4e247f4d576a03f523f7309ea8aa7782a22cc32c28f4",
 
131
  "task": "detect",
132
  "chip": "rk3588",
133
  "precision": "int8",
134
+ "path": "models/v2.3.2/detect/yolov10b/rk3588/int8",
135
  "weights": "source/weights/yolov10b.pt",
136
  "sha256": "713101481cbf090e6f72f38a5e022b7e6459d25f85104dbfcfe88a7d7df0792c",
137
  "onnx_sha256": "a3883d3c6a2d6919fb6b4e247f4d576a03f523f7309ea8aa7782a22cc32c28f4",
 
145
  "task": "detect",
146
  "chip": "rk3588",
147
  "precision": "fp16",
148
+ "path": "models/v2.3.2/detect/yolov10l/rk3588/fp16",
149
  "weights": "source/weights/yolov10l.pt",
150
  "sha256": "57bc000ddf42c3cc7ed797ca0d424cc02252d1b67af06a7aa9980e92b32e626d",
151
  "onnx_sha256": "3afc0aac9c310803570b020ae11b18d3a845a134c5d97c0214b9dbd6b9a0fd3c",
 
159
  "task": "detect",
160
  "chip": "rk3588",
161
  "precision": "int8",
162
+ "path": "models/v2.3.2/detect/yolov10l/rk3588/int8",
163
  "weights": "source/weights/yolov10l.pt",
164
  "sha256": "a2eb64cfcb34ca048b13e81c130fd413ba66985f623b14c1d548b6cfce907e75",
165
  "onnx_sha256": "3afc0aac9c310803570b020ae11b18d3a845a134c5d97c0214b9dbd6b9a0fd3c",
 
173
  "task": "detect",
174
  "chip": "rk3588",
175
  "precision": "fp16",
176
+ "path": "models/v2.3.2/detect/yolov10m/rk3588/fp16",
177
  "weights": "source/weights/yolov10m.pt",
178
  "sha256": "06b6a963149f0c3b89273d16b931f96b406af5819c4ceedaa187762d0f9593ce",
179
  "onnx_sha256": "9fe172646c19e30a319717a6dd90b12bc7b322745724061f4ea1d4a010464338",
 
187
  "task": "detect",
188
  "chip": "rk3588",
189
  "precision": "int8",
190
+ "path": "models/v2.3.2/detect/yolov10m/rk3588/int8",
191
  "weights": "source/weights/yolov10m.pt",
192
  "sha256": "34dbb49355360dc871c6c5c0178cafb548bf0932a589ddf35dcda923771cba17",
193
  "onnx_sha256": "9fe172646c19e30a319717a6dd90b12bc7b322745724061f4ea1d4a010464338",
 
201
  "task": "detect",
202
  "chip": "rk3588",
203
  "precision": "fp16",
204
+ "path": "models/v2.3.2/detect/yolov10x/rk3588/fp16",
205
  "weights": "source/weights/yolov10x.pt",
206
  "sha256": "8151640ee75d5974af11b38492321be37cf733cf31363da03e616ecec5d93cc6",
207
  "onnx_sha256": "eb4f4955ac71016d3a8f17a109cee3f4f27622f6a80e922e3fa8ae9de5e69cf9",
 
215
  "task": "detect",
216
  "chip": "rk3588",
217
  "precision": "int8",
218
+ "path": "models/v2.3.2/detect/yolov10x/rk3588/int8",
219
  "weights": "source/weights/yolov10x.pt",
220
  "sha256": "34a5c1f38af74c29dd2a2bdfe16aacddd17b513fe2eb0cb562b1485d642cc432",
221
  "onnx_sha256": "eb4f4955ac71016d3a8f17a109cee3f4f27622f6a80e922e3fa8ae9de5e69cf9",
 
229
  "task": "detect",
230
  "chip": "rk3576",
231
  "precision": "fp16",
232
+ "path": "models/v2.3.2/detect/yolov10n/rk3576/fp16",
233
  "sha256": "3fb18a79d2106cbd4f8e55f0e3cc3bf09ef122f6a0aec5715049a9877b7efcbc",
234
  "metadata_sha256": "daa0d0a1b2c0a34afc2f0fe12a1e32ec6e315bd668839084cdf2f53974293ab2",
235
  "onnx_sha256": "4a925bcb01b261ab97955bfe6c0dd5ad2e638f6db13198d4b6602750870603f6",
 
244
  "task": "detect",
245
  "chip": "rk3576",
246
  "precision": "int8",
247
+ "path": "models/v2.3.2/detect/yolov10n/rk3576/int8",
248
  "sha256": "7881260d2242494fb52a3ac94196df0923283861e8ce1d5fd81bd2e885812096",
249
  "metadata_sha256": "daa0d0a1b2c0a34afc2f0fe12a1e32ec6e315bd668839084cdf2f53974293ab2",
250
  "onnx_sha256": "4a925bcb01b261ab97955bfe6c0dd5ad2e638f6db13198d4b6602750870603f6",
 
259
  "task": "detect",
260
  "chip": "rk3576",
261
  "precision": "fp16",
262
+ "path": "models/v2.3.2/detect/yolov10s/rk3576/fp16",
263
  "sha256": "ea4d84e1e02b2459d68cf292389fdb11e577bf26ca024916a1cb2c242c172f90",
264
  "metadata_sha256": "daa0d0a1b2c0a34afc2f0fe12a1e32ec6e315bd668839084cdf2f53974293ab2",
265
  "onnx_sha256": "50dcfb1722cb5aeb0a2e29515c000dd76aa57f1bad49de8fa0344af6ce6221a2",
 
274
  "task": "detect",
275
  "chip": "rk3576",
276
  "precision": "int8",
277
+ "path": "models/v2.3.2/detect/yolov10s/rk3576/int8",
278
  "sha256": "e585a78e741c4013d4c35f7d76ea6837b1bc252a7c0aef88cc3c8e9c79c6ccfb",
279
  "metadata_sha256": "daa0d0a1b2c0a34afc2f0fe12a1e32ec6e315bd668839084cdf2f53974293ab2",
280
  "onnx_sha256": "50dcfb1722cb5aeb0a2e29515c000dd76aa57f1bad49de8fa0344af6ce6221a2",
 
289
  "task": "detect",
290
  "chip": "rk3588",
291
  "precision": "fp16",
292
+ "path": "models/v2.3.2/detect/yolov10n/rk3588/fp16",
293
  "sha256": "2c1cd3e89865824954f84484c3590c792cc40409a9ade96745b93ce4407fb561",
294
  "metadata_sha256": "3cf419497dcfb3575faf443705935624cadc60526d145fec2886f9f7cb0abd50",
295
  "onnx_sha256": "4a925bcb01b261ab97955bfe6c0dd5ad2e638f6db13198d4b6602750870603f6",
 
304
  "task": "detect",
305
  "chip": "rk3588",
306
  "precision": "int8",
307
+ "path": "models/v2.3.2/detect/yolov10n/rk3588/int8",
308
  "sha256": "2eb21a78b6c9ed2e22288b4c72b1ee0bbba34362b844cbb63614ec109f0fa5d7",
309
  "metadata_sha256": "3cf419497dcfb3575faf443705935624cadc60526d145fec2886f9f7cb0abd50",
310
  "onnx_sha256": "4a925bcb01b261ab97955bfe6c0dd5ad2e638f6db13198d4b6602750870603f6",
 
319
  "task": "detect",
320
  "chip": "rk3588",
321
  "precision": "fp16",
322
+ "path": "models/v2.3.2/detect/yolov10s/rk3588/fp16",
323
  "sha256": "b25d09b86c52876b759536a5481369c9bd316abcb131cdbc4448b7e7fbca3b00",
324
  "metadata_sha256": "3cf419497dcfb3575faf443705935624cadc60526d145fec2886f9f7cb0abd50",
325
  "onnx_sha256": "50dcfb1722cb5aeb0a2e29515c000dd76aa57f1bad49de8fa0344af6ce6221a2",
 
334
  "task": "detect",
335
  "chip": "rk3588",
336
  "precision": "int8",
337
+ "path": "models/v2.3.2/detect/yolov10s/rk3588/int8",
338
  "sha256": "86237e6bccb145e749c1fd2e40be73fe5193d745c58f89c45eaab6f819419971",
339
  "metadata_sha256": "3cf419497dcfb3575faf443705935624cadc60526d145fec2886f9f7cb0abd50",
340
  "onnx_sha256": "50dcfb1722cb5aeb0a2e29515c000dd76aa57f1bad49de8fa0344af6ce6221a2",
models/{detect → v2.3.2/detect}/yolov10b/rk3576/fp16/metadata.yaml RENAMED
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