Add files using upload-large-folder tool
Browse files- .gitattributes +5 -0
- 1736139606130691_20260326235720.jpg +3 -0
- README.md +68 -0
- model-card.json +348 -0
- reid_net.om +3 -0
- reid_net.onnx +3 -0
- reid_net_om-A8W8.om +3 -0
- yolov5s.om +3 -0
- yolov5s.onnx +3 -0
- yolov5s_om-A8W8.om +3 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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yolov5s.om filter=lfs diff=lfs merge=lfs -text
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yolov5s_om-A8W8.om filter=lfs diff=lfs merge=lfs -text
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reid_net_om-A8W8.om filter=lfs diff=lfs merge=lfs -text
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1736139606130691_20260326235720.jpg filter=lfs diff=lfs merge=lfs -text
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reid_net.om filter=lfs diff=lfs merge=lfs -text
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1736139606130691_20260326235720.jpg
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Git LFS Details
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README.md
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@@ -0,0 +1,68 @@
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| 1 |
+
---
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| 2 |
+
language:
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| 3 |
+
- zh
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| 4 |
+
tags:
|
| 5 |
+
- hisilicon
|
| 6 |
+
- hispark
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| 7 |
+
- npu
|
| 8 |
+
- openharmony
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| 9 |
+
- modelzoo
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| 10 |
+
- pytorch
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| 11 |
+
---
|
| 12 |
+
|
| 13 |
+
# DeepSort
|
| 14 |
+
|
| 15 |
+
DeepSort是一种多目标跟踪方法,简单有效。该方法将外观信息集成起来,提高了分拣性能,能够在较长遮挡时间下仍能进行有效的跟踪。该框架将大量的复杂计算放入离线预训练阶段,这个阶段在重识别数据集上学习一个深度关联度量。在线应用阶段,建立度量,在视觉外观空间中使用最近邻查询跟踪关联。本模型能够在较快帧率下实现较高精度的识别。
|
| 16 |
+
|
| 17 |
+
## Mirror Metadata
|
| 18 |
+
|
| 19 |
+
- Hugging Face repo: shadow-cann/hispark-modelzoo-deepsort
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| 20 |
+
- Portal model id: j6v87p1oi000
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| 21 |
+
- Created at: 2026-03-26 23:59:38
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| 22 |
+
- Updated at: 2026-03-27 19:43:15
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| 23 |
+
- Category: 计算机视觉
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| 24 |
+
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| 25 |
+
## Framework
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| 26 |
+
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| 27 |
+
- PyTorch
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| 28 |
+
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| 29 |
+
## Supported OS
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| 30 |
+
|
| 31 |
+
- OpenHarmony
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| 32 |
+
- Linux
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| 33 |
+
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| 34 |
+
## Computing Power
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| 35 |
+
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| 36 |
+
- Hi3403V100 SVP_NNN
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| 37 |
+
- Hi3403V100 NNN
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| 38 |
+
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| 39 |
+
## Tags
|
| 40 |
+
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| 41 |
+
- 多目标跟踪
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| 42 |
+
|
| 43 |
+
## Detail Parameters
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| 44 |
+
|
| 45 |
+
- 计算量: 2.253GFLOPs
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| 46 |
+
- 输入: 128x64
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| 47 |
+
- 参数量: 11.164M
|
| 48 |
+
|
| 49 |
+
## Files In This Repo
|
| 50 |
+
|
| 51 |
+
- yolov5s_om-A8W8.om (编译模型 / A8W8)
|
| 52 |
+
- reid_net_om-A8W8.om (编译模型 / A8W8)
|
| 53 |
+
- yolov5s.om (编译模型 / FP16; 编译模型 / OM 元数据 / A8W8)
|
| 54 |
+
- reid_net.om (编译模型 / FP16; 编译模型 / OM 元数据 / A8W8)
|
| 55 |
+
- yolov5s.onnx (源模型 / 源模型下载; 源模型 / 源模型元数据)
|
| 56 |
+
- reid_net.onnx (源模型 / 源模型下载; 源模型 / 源模型元数据)
|
| 57 |
+
|
| 58 |
+
## Upstream Links
|
| 59 |
+
|
| 60 |
+
- Portal card: https://gitbubble.github.io/hisilicon-developer-portal-mirror/model-detail.html?id=j6v87p1oi000
|
| 61 |
+
- Upstream repository: https://gitee.com/HiSpark/modelzoo/tree/master/samples/built-in/tracking/deepsort
|
| 62 |
+
- License reference: https://github.com/ZQPei/deep_sort_pytorch/blob/master/LICENSE
|
| 63 |
+
|
| 64 |
+
## Notes
|
| 65 |
+
|
| 66 |
+
- This repository was mirrored from the HiSilicon Developer Portal model card and local downloads captured on 2026-03-27.
|
| 67 |
+
- File ownership follows the portal card mapping, not just filename similarity.
|
| 68 |
+
- Cover image: 1736139606130691_20260326235720.jpg
|
model-card.json
ADDED
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@@ -0,0 +1,348 @@
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| 1 |
+
{
|
| 2 |
+
"name": "DeepSort",
|
| 3 |
+
"id": "j6v87p1oi000",
|
| 4 |
+
"description": "DeepSort是一种多目标跟踪方法,简单有效。该方法将外观信息集成起来,提高了分拣性能,能够在较长遮挡时间下仍能进行有效的跟踪。该框架将大量的复杂计算放入离线预训练阶段,这个阶段在重识别数据集上学习一个深度关联度量。在线应用阶段,建立度量,在视觉外观空间中使用最近邻查询跟踪关联。本模型能够在较快帧率下实现较高精度的识别。",
|
| 5 |
+
"category": "计算机视觉",
|
| 6 |
+
"framework": [
|
| 7 |
+
"PyTorch"
|
| 8 |
+
],
|
| 9 |
+
"supportOs": [
|
| 10 |
+
"OpenHarmony",
|
| 11 |
+
"Linux"
|
| 12 |
+
],
|
| 13 |
+
"computingPower": [
|
| 14 |
+
"Hi3403V100 SVP_NNN",
|
| 15 |
+
"Hi3403V100 NNN"
|
| 16 |
+
],
|
| 17 |
+
"tags": [
|
| 18 |
+
"多目标跟踪"
|
| 19 |
+
],
|
| 20 |
+
"repositoryUrl": "https://gitee.com/HiSpark/modelzoo/tree/master/samples/built-in/tracking/deepsort",
|
| 21 |
+
"licenseUrl": "https://github.com/ZQPei/deep_sort_pytorch/blob/master/LICENSE",
|
| 22 |
+
"downloads": [
|
| 23 |
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{
|
| 24 |
+
"fileName": "yolov5s_om-A8W8.om",
|
| 25 |
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"variants": [
|
| 26 |
+
"编译模型 / A8W8"
|
| 27 |
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]
|
| 28 |
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},
|
| 29 |
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{
|
| 30 |
+
"fileName": "reid_net_om-A8W8.om",
|
| 31 |
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"variants": [
|
| 32 |
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"编译模型 / A8W8"
|
| 33 |
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]
|
| 34 |
+
},
|
| 35 |
+
{
|
| 36 |
+
"fileName": "yolov5s.om",
|
| 37 |
+
"variants": [
|
| 38 |
+
"编译模型 / FP16",
|
| 39 |
+
"编译模型 / OM 元数据 / A8W8"
|
| 40 |
+
]
|
| 41 |
+
},
|
| 42 |
+
{
|
| 43 |
+
"fileName": "reid_net.om",
|
| 44 |
+
"variants": [
|
| 45 |
+
"编译模型 / FP16",
|
| 46 |
+
"编译模型 / OM 元数据 / A8W8"
|
| 47 |
+
]
|
| 48 |
+
},
|
| 49 |
+
{
|
| 50 |
+
"fileName": "yolov5s.onnx",
|
| 51 |
+
"variants": [
|
| 52 |
+
"源模型 / 源模型下载",
|
| 53 |
+
"源模型 / 源模型元数据"
|
| 54 |
+
]
|
| 55 |
+
},
|
| 56 |
+
{
|
| 57 |
+
"fileName": "reid_net.onnx",
|
| 58 |
+
"variants": [
|
| 59 |
+
"源模型 / 源模型下载",
|
| 60 |
+
"源模型 / 源模型元数据"
|
| 61 |
+
]
|
| 62 |
+
}
|
| 63 |
+
],
|
| 64 |
+
"apiDetail": {
|
| 65 |
+
"createdBy": 137441035408492,
|
| 66 |
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"creationDate": "2026-03-26 23:59:38",
|
| 67 |
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"creationUserCN": "0e900d99dee8461b8",
|
| 68 |
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"lastUpdatedBy": null,
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"lastUpdateDate": "2026-03-27 19:43:15",
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"lastUpdateUserCN": "0e900d99dee8461b8",
|
| 71 |
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"rowIdx": -1,
|
| 72 |
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"id": "j6v87p1oi000",
|
| 73 |
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"name": "DeepSort",
|
| 74 |
+
"isBeta": 0,
|
| 75 |
+
"betaVersionDesc": "",
|
| 76 |
+
"description": "DeepSort是一种多目标跟踪方法,简单有效。该方法将外观信息集成起来,提高了分拣性能,能够在较长遮挡时间下仍能进行有效的跟踪。该框架将大量的复杂计算放入离线预训练阶段,这个阶段在重识别数据集上学习一个深度关联度量。在线应用阶段,建立度量,在视觉外观空间中使用最近邻查询跟踪关联。本模型能够在较快帧率下实现较高精度的识别。",
|
| 77 |
+
"parentId": "j6v87p1oi000",
|
| 78 |
+
"coverImageId": 1736139606130691,
|
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version https://git-lfs.github.com/spec/v1
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yolov5s.om
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yolov5s.onnx
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version https://git-lfs.github.com/spec/v1
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yolov5s_om-A8W8.om
ADDED
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