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Browse files- README.md +7 -7
- model-card.json +44 -38
- yolov5s_source-model.pt +3 -0
README.md
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@@ -17,9 +17,9 @@ YOLO系列网络模型是最为经典的one-stage算法,也是目前工业领
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## Mirror Metadata
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- Hugging Face repo: shadow-cann/hispark-modelzoo-yolov5s
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- Portal model id:
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- Created at:
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- Updated at:
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- Category: 计算机视觉
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## Framework
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## Files In This Repo
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- yolov5s.
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- yolov5s.onnx (源模型 / 源模型下载; 源模型 / 源模型元数据)
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- yolov5s.
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- SVP_NNN_PC_V1.0.6.0.tgz (附加资源 / 附加资源)
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## Upstream Links
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- Portal card: https://gitbubble.github.io/hisilicon-developer-portal-mirror/model-detail.html?id=
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- Upstream repository: https://gitee.com/HiSpark/modelzoo/tree/master/samples/samples_GPL/built-in/yolov5
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- License reference: https://github.com/ultralytics/yolov5/blob/master/LICENSE
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- This repository was mirrored from the HiSilicon Developer Portal model card and local downloads captured on 2026-03-27.
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- File ownership follows the portal card mapping, not just filename similarity.
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- Cover image: 1701484647481346_yolov5s.jpg
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## Mirror Metadata
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- Hugging Face repo: shadow-cann/hispark-modelzoo-yolov5s
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- Portal model id: j8pr351otk00
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- Created at: 2026-04-01 16:31:00
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- Updated at: 2026-04-08 16:07:07
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- Category: 计算机视觉
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## Framework
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## Files In This Repo
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- yolov5s.om (编译模型 / A8W8; 编译模型 / OM 元数据 / A8W8)
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- yolov5s_source-model.pt (源模型 / 源模型下载)
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- yolov5s.onnx (源模型 / 源模型下载; 源模型 / 源模型元数据)
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+
- yolov5s.pt (源模型 / 源模型元数据)
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- SVP_NNN_PC_V1.0.6.0.tgz (附加资源 / 附加资源)
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## Upstream Links
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- Portal card: https://gitbubble.github.io/hisilicon-developer-portal-mirror/model-detail.html?id=j8pr351otk00
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- Upstream repository: https://gitee.com/HiSpark/modelzoo/tree/master/samples/samples_GPL/built-in/yolov5
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- License reference: https://github.com/ultralytics/yolov5/blob/master/LICENSE
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- This repository was mirrored from the HiSilicon Developer Portal model card and local downloads captured on 2026-03-27.
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- File ownership follows the portal card mapping, not just filename similarity.
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model-card.json
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{
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"name": "YOLOv5s",
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"id": "
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"description": "YOLO系列网络模型是最为经典的one-stage算法,也是目前工业领域使用最多的目标检测网络,YOLOv5网络模型在继承了原有YOLO网络模型优点的基础上,具有更优的检测精度和更快的推理速度。本示例使用YOLOv5s。",
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"category": "计算机视觉",
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"framework": [
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"licenseUrl": "https://github.com/ultralytics/yolov5/blob/master/LICENSE",
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"downloads": [
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{
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]
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{
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"name": "YOLOv5s",
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"betaVersionDesc": "",
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"size": "28925429"
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}
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"originModelLink":
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"dataSet": "https://cocodataset.org/#download",
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"modelLicense": "https://github.com/ultralytics/yolov5/blob/master/LICENSE",
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"detailParams": [
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"developLanguage": [
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{
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"language": "C++",
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"context": "{\"ops\":[{\"attributes\":{\"background\":\"#ffffff\",\"size\":\"13px\",\"color\":\"#080808\"},\"insert\":\"yolov5模型可以通过以下代码完成快速推理\"},{\"attributes\":{\"text-indent\":\"0px\"},\"insert\":\"\\n\"},{\"attributes\":{\"text-indent\":\"0px\",\"code-block\":\"plain\"},\"insert\":\"\\n\"},{\"insert\":\"#include \\\"model.h\\\"\"},{\"attributes\":{\"text-indent\":\"0px\",\"code-block\":\"plain\"},\"insert\":\"\\n\"},{\"insert\":\"#include \\\"log.h\\\"\"},{\"attributes\":{\"text-indent\":\"0px\",\"code-block\":\"plain\"},\"insert\":\"\\n\\n\"},{\"insert\":\"using namespace Infer;\"},{\"attributes\":{\"text-indent\":\"0px\",\"code-block\":\"plain\"},\"insert\":\"\\n\\n\"},{\"insert\":\"int main()\"},{\"attributes\":{\"text-indent\":\"0px\",\"code-block\":\"plain\"},\"insert\":\"\\n\"},{\"insert\":\"{\"},{\"attributes\":{\"text-indent\":\"0px\",\"code-block\":\"plain\"},\"insert\":\"\\n\"},{\"insert\":\" EnvInit();\"},{\"attributes\":{\"text-indent\":\"0px\",\"code-block\":\"plain\"},\"insert\":\"\\n\"},{\"insert\":\" std::string omModelPath = \\\"/path/to/model.om\\\"; // yolov5模型文件路径 \"},{\"attributes\":{\"text-indent\":\"0px\",\"code-block\":\"plain\"},\"insert\":\"\\n\"},{\"insert\":\" std::string imagePath = \\\"/path/to/image.jpg\\\"; // 输入图片路径\"},{\"attributes\":{\"text-indent\":\"0px\",\"code-block\":\"plain\"},\"insert\":\"\\n\"},{\"insert\":\" std::unique_ptr<Model> model = std::make_unique<Model>();\"},{\"attributes\":{\"text-indent\":\"0px\",\"code-block\":\"plain\"},\"insert\":\"\\n\"},{\"insert\":\" if (model->Load(omModelPath, ModelType::Yolov5) != 0) {\"},{\"attributes\":{\"text-indent\":\"0px\",\"code-block\":\"plain\"},\"insert\":\"\\n\"},{\"insert\":\"
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}
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]
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"status": "released",
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"currentHandler": "",
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"currentHandlerName":
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"jsonPath": "https://gitee.com/HiSpark/modelzoo-dev/blob/master/samples/samples_GPL/built-in/yolov5/yolov5.json",
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"modelAdaptor": [
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{
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"rowIdx": -1,
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"id": "i8ttm5k1tc00",
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"name": "Hi3403V100 SVP_NNN",
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"modelId": "
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"modelName": "YOLOv5s",
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"supportNames": [
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"
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],
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"toolkit": [
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{
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},
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{
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"name": "SDK",
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"url": "https://gitee.com/HiSpark/ss928v100_clang/tree/Beta-v0.9.1/
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"desc": "稳定、易用的设计;支撑客户快速产品量产",
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}
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],
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"supportQuantify": [
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"rowIdx": -1,
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"computingId": "i8ttm5k1tc00",
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"computingName": "Hi3403V100 SVP_NNN",
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"omOfflineModelUrl": null,
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"omOfflineModelName": "yolov5s.om",
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"omOfflineModel": [
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{
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"id": "
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"name": "yolov5s.om",
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],
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"omOfflineModelLink": null,
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"releaseTime": "2025-09-08",
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"boardOs":
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"modelLicense": "https://gitee.com/HiSpark/modelzoo/blob/master/samples/samples_GPL/built-in/yolov5/LICENSE",
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"modelPerformance": [
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{
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"rowIdx": -1,
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"id": "i8ttm5k1tc01",
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"name": "Hi3403V100 NNN",
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"modelId": "
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"modelName": "YOLOv5s",
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"supportNames": [
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"
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],
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"toolkit": [
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{
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],
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"supportQuantify": [
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"computingId": "i8ttm5k1tc01",
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"computingName": "Hi3403V100 NNN",
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],
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"omOfflineModelLink": null,
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"releaseTime": "2025-09-18",
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"boardOs":
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"modelLicense": "https://gitee.com/HiSpark/modelzoo/blob/master/samples/samples_GPL/built-in/yolov5/LICENSE",
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"modelPerformance": [
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{
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"name": "YOLOv5s",
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"id": "j8pr351otk00",
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"description": "YOLO系列网络模型是最为经典的one-stage算法,也是目前工业领域使用最多的目标检测网络,YOLOv5网络模型在继承了原有YOLO网络模型优点的基础上,具有更优的检测精度和更快的推理速度。本示例使用YOLOv5s。",
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"category": "计算机视觉",
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"framework": [
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"licenseUrl": "https://github.com/ultralytics/yolov5/blob/master/LICENSE",
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"downloads": [
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{
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"fileName": "yolov5s.om",
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"variants": [
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"编译模型 / A8W8",
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"编译模型 / OM 元数据 / A8W8"
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]
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},
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{
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"fileName": "yolov5s_source-model.pt",
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"variants": [
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"源模型 / 源模型下载"
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]
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},
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{
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]
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},
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{
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"fileName": "yolov5s.pt",
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"variants": [
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"源模型 / 源模型元数据"
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]
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},
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{
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],
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"apiDetail": {
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"createdBy": 137441035408492,
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"creationDate": "2026-04-01 16:31:00",
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"creationUserCN": "0e900d99dee8461b8",
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"lastUpdateDate": "2026-04-08 16:07:07",
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"lastUpdateUserCN": "0e900d99dee8461b8",
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"rowIdx": -1,
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"id": "j8pr351otk00",
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"name": "YOLOv5s",
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"isBeta": 0,
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"betaVersionDesc": "",
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"size": "28925429"
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}
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],
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"originModelLink": "",
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"dataSet": "https://cocodataset.org/#download",
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"modelLicense": "https://github.com/ultralytics/yolov5/blob/master/LICENSE",
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"detailParams": [
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"developLanguage": [
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{
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"language": "C++",
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"context": "{\"ops\":[{\"attributes\":{\"background\":\"#ffffff\",\"size\":\"13px\",\"color\":\"#080808\"},\"insert\":\"yolov5模型可以通过以下代码完成快速推理\"},{\"attributes\":{\"text-indent\":\"0px\"},\"insert\":\"\\n\"},{\"attributes\":{\"text-indent\":\"0px\",\"code-block\":\"plain\"},\"insert\":\"\\n\"},{\"insert\":\"#include \\\"model.h\\\"\"},{\"attributes\":{\"text-indent\":\"0px\",\"code-block\":\"plain\"},\"insert\":\"\\n\"},{\"insert\":\"#include \\\"log.h\\\"\"},{\"attributes\":{\"text-indent\":\"0px\",\"code-block\":\"plain\"},\"insert\":\"\\n\\n\"},{\"insert\":\"using namespace Infer;\"},{\"attributes\":{\"text-indent\":\"0px\",\"code-block\":\"plain\"},\"insert\":\"\\n\\n\"},{\"insert\":\"int main()\"},{\"attributes\":{\"text-indent\":\"0px\",\"code-block\":\"plain\"},\"insert\":\"\\n\"},{\"insert\":\"{\"},{\"attributes\":{\"text-indent\":\"0px\",\"code-block\":\"plain\"},\"insert\":\"\\n\"},{\"insert\":\" EnvInit();\"},{\"attributes\":{\"text-indent\":\"0px\",\"code-block\":\"plain\"},\"insert\":\"\\n\"},{\"insert\":\" std::string omModelPath = \\\"/path/to/model.om\\\"; // yolov5模型文件路径 \"},{\"attributes\":{\"text-indent\":\"0px\",\"code-block\":\"plain\"},\"insert\":\"\\n\"},{\"insert\":\" std::string imagePath = \\\"/path/to/image.jpg\\\"; // 输入图片路径\"},{\"attributes\":{\"text-indent\":\"0px\",\"code-block\":\"plain\"},\"insert\":\"\\n\"},{\"insert\":\" std::unique_ptr<Model> model = std::make_unique<Model>();\"},{\"attributes\":{\"text-indent\":\"0px\",\"code-block\":\"plain\"},\"insert\":\"\\n\"},{\"insert\":\" if (model->Load(omModelPath, ModelType::Yolov5) != 0) {\"},{\"attributes\":{\"text-indent\":\"0px\",\"code-block\":\"plain\"},\"insert\":\"\\n\"},{\"insert\":\" return -1;\"},{\"attributes\":{\"text-indent\":\"0px\",\"code-block\":\"plain\"},\"insert\":\"\\n\"},{\"insert\":\" }\"},{\"attributes\":{\"text-indent\":\"0px\",\"code-block\":\"plain\"},\"insert\":\"\\n\"},{\"insert\":\" auto ret = model->Infer(imagePath, FileType::SingelImageFile);\"},{\"attributes\":{\"text-indent\":\"0px\",\"code-block\":\"plain\"},\"insert\":\"\\n\"},{\"insert\":\" if (ret.size() == 0) {\"},{\"attributes\":{\"text-indent\":\"0px\",\"code-block\":\"plain\"},\"insert\":\"\\n\"},{\"insert\":\" model->Unload();\"},{\"attributes\":{\"text-indent\":\"0px\",\"code-block\":\"plain\"},\"insert\":\"\\n\"},{\"insert\":\" return -1;\"},{\"attributes\":{\"text-indent\":\"0px\",\"code-block\":\"plain\"},\"insert\":\"\\n\"},{\"insert\":\" }\"},{\"attributes\":{\"text-indent\":\"0px\",\"code-block\":\"plain\"},\"insert\":\"\\n\"},{\"insert\":\" if (model->Unload() != 0) {\"},{\"attributes\":{\"text-indent\":\"0px\",\"code-block\":\"plain\"},\"insert\":\"\\n\"},{\"insert\":\" return -1;\"},{\"attributes\":{\"text-indent\":\"0px\",\"code-block\":\"plain\"},\"insert\":\"\\n\"},{\"insert\":\" }\"},{\"attributes\":{\"text-indent\":\"0px\",\"code-block\":\"plain\"},\"insert\":\"\\n\"},{\"insert\":\" EnvDeinit();\"},{\"attributes\":{\"text-indent\":\"0px\",\"code-block\":\"plain\"},\"insert\":\"\\n\"},{\"insert\":\" return 0;\"},{\"attributes\":{\"text-indent\":\"0px\",\"code-block\":\"plain\"},\"insert\":\"\\n\"},{\"insert\":\"}\"},{\"attributes\":{\"text-indent\":\"0px\",\"code-block\":\"plain\"},\"insert\":\"\\n\"},{\"attributes\":{\"background\":\"#ffffff\",\"size\":\"13px\",\"color\":\"#080808\"},\"insert\":\"备注:上述C++代码依赖的动态库与头文件位于\"},{\"attributes\":{\"background\":\"#ffffff\",\"size\":\"13px\",\"color\":\"#315fbd\",\"link\":\"https://gitee.com/HiSpark/modelzoo/tree/master/samples/common\"},\"insert\":\"/samples/common\"},{\"attributes\":{\"background\":\"#ffffff\",\"size\":\"13px\",\"color\":\"#080808\"},\"insert\":\"目录下,编译相关配置参考\"},{\"attributes\":{\"background\":\"#ffffff\",\"size\":\"13px\",\"color\":\"#315fbd\",\"link\":\"https://gitee.com/HiSpark/modelzoo/blob/master/samples/samples_GPL/built-in/yolov5/src/CMakeLists.txt\"},\"insert\":\"CMakeLists.txt\"},{\"attributes\":{\"background\":\"#ffffff\",\"size\":\"13px\",\"color\":\"#080808\"},\"insert\":\"。\"},{\"attributes\":{\"text-indent\":\"0px\"},\"insert\":\"\\n\"}]}"
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}
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]
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},
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"status": "released",
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"currentHandler": "",
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"jsonPath": "https://gitee.com/HiSpark/modelzoo-dev/blob/master/samples/samples_GPL/built-in/yolov5/yolov5.json",
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"modelAdaptor": [
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{
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"rowIdx": -1,
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| 138 |
"id": "i8ttm5k1tc00",
|
| 139 |
"name": "Hi3403V100 SVP_NNN",
|
| 140 |
+
"modelId": "j8pr351otk00",
|
| 141 |
"modelName": "YOLOv5s",
|
| 142 |
"supportNames": [
|
| 143 |
+
"A8W8"
|
| 144 |
],
|
| 145 |
"toolkit": [
|
| 146 |
{
|
|
|
|
| 157 |
},
|
| 158 |
{
|
| 159 |
"name": "SDK",
|
| 160 |
+
"url": "https://gitee.com/HiSpark/ss928v100_clang/tree/Beta-v0.9.1/",
|
| 161 |
"desc": "稳定、易用的设计;支撑客户快速产品量产",
|
| 162 |
"imgId": "sdk"
|
| 163 |
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|
|
|
|
| 168 |
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|
| 169 |
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|
| 170 |
{
|
| 171 |
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|
| 172 |
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|
| 173 |
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|
| 174 |
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|
| 175 |
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|
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| 177 |
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| 178 |
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| 179 |
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"name": "A8W8",
|
| 180 |
"computingId": "i8ttm5k1tc00",
|
| 181 |
"computingName": "Hi3403V100 SVP_NNN",
|
| 182 |
"omOfflineModelUrl": null,
|
|
|
|
| 185 |
"omOfflineModelName": "yolov5s.om",
|
| 186 |
"omOfflineModel": [
|
| 187 |
{
|
| 188 |
+
"id": "1737517451771907",
|
| 189 |
"name": "yolov5s.om",
|
| 190 |
"url": null,
|
| 191 |
+
"size": "7729947"
|
| 192 |
}
|
| 193 |
],
|
| 194 |
"omOfflineModelLink": null,
|
| 195 |
"releaseTime": "2025-09-08",
|
| 196 |
+
"boardOs": "OpenHarmony",
|
| 197 |
"modelLicense": "https://gitee.com/HiSpark/modelzoo/blob/master/samples/samples_GPL/built-in/yolov5/LICENSE",
|
| 198 |
"modelPerformance": [
|
| 199 |
{
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|
|
|
| 232 |
"rowIdx": -1,
|
| 233 |
"id": "i8ttm5k1tc01",
|
| 234 |
"name": "Hi3403V100 NNN",
|
| 235 |
+
"modelId": "j8pr351otk00",
|
| 236 |
"modelName": "YOLOv5s",
|
| 237 |
"supportNames": [
|
| 238 |
+
"FP16"
|
| 239 |
],
|
| 240 |
"toolkit": [
|
| 241 |
{
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|
|
|
| 262 |
],
|
| 263 |
"supportQuantify": [
|
| 264 |
{
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| 265 |
+
"createdBy": 137441035408492,
|
| 266 |
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"creationDate": "2026-04-03 14:28:33",
|
| 267 |
+
"creationUserCN": "0e900d99dee8461b8",
|
| 268 |
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"lastUpdatedBy": 137441035408492,
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| 269 |
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"lastUpdateDate": "2026-04-03 14:28:33",
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| 270 |
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|
| 271 |
"rowIdx": -1,
|
| 272 |
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"id": "j9di8150i000",
|
| 273 |
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"name": "FP16",
|
| 274 |
"computingId": "i8ttm5k1tc01",
|
| 275 |
"computingName": "Hi3403V100 NNN",
|
| 276 |
"omOfflineModelUrl": null,
|
|
|
|
| 287 |
],
|
| 288 |
"omOfflineModelLink": null,
|
| 289 |
"releaseTime": "2025-09-18",
|
| 290 |
+
"boardOs": "Linux",
|
| 291 |
"modelLicense": "https://gitee.com/HiSpark/modelzoo/blob/master/samples/samples_GPL/built-in/yolov5/LICENSE",
|
| 292 |
"modelPerformance": [
|
| 293 |
{
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|
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|
| 330 |
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|
| 331 |
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|
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|
| 333 |
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"downloadNum": 1,
|
| 334 |
"collectNum": null,
|
| 335 |
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|
| 336 |
}
|
yolov5s_source-model.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8b3b748c1e592ddd8868022e8732fde20025197328490623cc16c6f24d0782ee
|
| 3 |
+
size 14808437
|