Add files using upload-large-folder tool
Browse files- 1712131749773315_yolov4.jpg +0 -0
- README.md +65 -0
- SVP_NNN_PC_V1.0.6.0.tgz +3 -0
- model-card.json +328 -0
- yolov4.onnx +3 -0
- yolov4.pth +3 -0
1712131749773315_yolov4.jpg
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README.md
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---
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language:
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- zh
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tags:
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- hisilicon
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| 6 |
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- hispark
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| 7 |
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- npu
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| 8 |
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- openharmony
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| 9 |
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- modelzoo
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- pytorch
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---
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# YOLOv4
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YOLOv4 是一种高性能的 one-stage 目标检测模型。相比 YOLOv3,YOLOv4 采用了 CSPDarknet53 作为 backbone 进行特征提取,该网络结合了跨金字塔池化结构和路径聚合网络,在精度和速度上均有显著提升。
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## Mirror Metadata
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- Hugging Face repo: shadow-cann/hispark-modelzoo-yolov4
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- Portal model id: i9ivuh3hec00
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- Created at: 2025-12-25 17:01:53
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- Updated at: 2025-12-30 21:27:13
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- Category: 计算机视觉
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## Framework
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- PyTorch
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## Supported OS
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- OpenHarmony
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- Linux
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## Computing Power
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- Hi3403V100 SVP_NNN
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- Hi3403V100 NNN
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## Tags
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- 目标检测
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## Detail Parameters
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- 输入: 608x608
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- 参数量: 64.330M
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- 计算量: 157.842GFLOPs
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## Files In This Repo
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- yolov4.pth (源模型 / 源模型下载; 源模型 / 源模型元数据)
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| 52 |
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- yolov4.onnx (源模型 / 源模型下载; 源模型 / 源模型元数据)
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| 53 |
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- SVP_NNN_PC_V1.0.6.0.tgz (附加资源 / 附加资源)
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| 54 |
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## Upstream Links
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- Portal card: https://gitbubble.github.io/hisilicon-developer-portal-mirror/model-detail.html?id=i9ivuh3hec00
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- Upstream repository: https://gitee.com/HiSpark/modelzoo/tree/master/samples/built-in/detection/yolov4
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- License reference: https://github.com/Tianxiaomo/pytorch-YOLOv4/blob/master/License.txt
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## Notes
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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: 1712131749773315_yolov4.jpg
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SVP_NNN_PC_V1.0.6.0.tgz
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version https://git-lfs.github.com/spec/v1
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oid sha256:536b103d08e9490f968207326798e1fc50ea4234888b73db729cd6e6a04c5d8b
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size 31072256
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model-card.json
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|
| 1 |
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{
|
| 2 |
+
"name": "YOLOv4",
|
| 3 |
+
"id": "i9ivuh3hec00",
|
| 4 |
+
"description": "YOLOv4 是一种高性能的 one-stage 目标检测模型。相比 YOLOv3,YOLOv4 采用了 CSPDarknet53 作为 backbone 进行特征提取,该网络结合了跨金字塔池化结构和路径聚合网络,在精度和速度上均有显著提升。",
|
| 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 |
+
"目标检测"
|
| 19 |
+
],
|
| 20 |
+
"repositoryUrl": "https://gitee.com/HiSpark/modelzoo/tree/master/samples/built-in/detection/yolov4",
|
| 21 |
+
"licenseUrl": "https://github.com/Tianxiaomo/pytorch-YOLOv4/blob/master/License.txt",
|
| 22 |
+
"downloads": [
|
| 23 |
+
{
|
| 24 |
+
"fileName": "yolov4.pth",
|
| 25 |
+
"variants": [
|
| 26 |
+
"源模型 / 源模型下载",
|
| 27 |
+
"源模型 / 源模型元数据"
|
| 28 |
+
]
|
| 29 |
+
},
|
| 30 |
+
{
|
| 31 |
+
"fileName": "yolov4.onnx",
|
| 32 |
+
"variants": [
|
| 33 |
+
"源模型 / 源模型下载",
|
| 34 |
+
"源模型 / 源模型元数据"
|
| 35 |
+
]
|
| 36 |
+
},
|
| 37 |
+
{
|
| 38 |
+
"fileName": "SVP_NNN_PC_V1.0.6.0.tgz",
|
| 39 |
+
"variants": [
|
| 40 |
+
"附加资源 / 附加资源"
|
| 41 |
+
]
|
| 42 |
+
}
|
| 43 |
+
],
|
| 44 |
+
"apiDetail": {
|
| 45 |
+
"createdBy": 139318985286440,
|
| 46 |
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"creationDate": "2025-12-25 17:01:53",
|
| 47 |
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"creationUserCN": "sloanqin",
|
| 48 |
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"lastUpdatedBy": null,
|
| 49 |
+
"lastUpdateDate": "2025-12-30 21:27:13",
|
| 50 |
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"lastUpdateUserCN": "sloanqin",
|
| 51 |
+
"rowIdx": -1,
|
| 52 |
+
"id": "i9ivuh3hec00",
|
| 53 |
+
"name": "YOLOv4",
|
| 54 |
+
"isBeta": 1,
|
| 55 |
+
"betaVersionDesc": "Hi3403V100 NNN引擎上模型性能待进一步优化",
|
| 56 |
+
"description": "YOLOv4 是一种高性能的 one-stage 目标检测模型。相比 YOLOv3,YOLOv4 采用了 CSPDarknet53 作为 backbone 进行特征提取,该网络结合了跨金字塔池化结构和路径聚合网络,在精度和速度上均有显著提升。",
|
| 57 |
+
"parentId": "i9ivuh3hec00",
|
| 58 |
+
"coverImageId": 1712131749773315,
|
| 59 |
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"coverImageUrl": "https://openxinhuo-board-image.obs.cn-east-3.myhuaweicloud.com/1712131749773315%2Fyolov4.jpg",
|
| 60 |
+
"modelEffectId": null,
|
| 61 |
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"modelEffectUrl": "",
|
| 62 |
+
"computerVersion": [
|
| 63 |
+
"目标检测"
|
| 64 |
+
],
|
| 65 |
+
"naturalLanguageProcess": [],
|
| 66 |
+
"multimodal": [],
|
| 67 |
+
"video": [],
|
| 68 |
+
"framework": [
|
| 69 |
+
"PyTorch"
|
| 70 |
+
],
|
| 71 |
+
"modelRepository": "https://gitee.com/HiSpark/modelzoo/tree/master/samples/built-in/detection/yolov4",
|
| 72 |
+
"originModel": [
|
| 73 |
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{
|
| 74 |
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"id": "1712122673299459",
|
| 75 |
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"name": "yolov4.pth",
|
| 76 |
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"url": null,
|
| 77 |
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"size": "257852609"
|
| 78 |
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},
|
| 79 |
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{
|
| 80 |
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"id": "1712122673364994",
|
| 81 |
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"name": "yolov4.onnx",
|
| 82 |
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"url": null,
|
| 83 |
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"size": "257433018"
|
| 84 |
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}
|
| 85 |
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],
|
| 86 |
+
"originModelLink": null,
|
| 87 |
+
"dataSet": "https://cocodataset.org/#download",
|
| 88 |
+
"modelLicense": "https://github.com/Tianxiaomo/pytorch-YOLOv4/blob/master/License.txt",
|
| 89 |
+
"detailParams": [
|
| 90 |
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{
|
| 91 |
+
"name": "输入",
|
| 92 |
+
"value": "608x608"
|
| 93 |
+
},
|
| 94 |
+
{
|
| 95 |
+
"name": "参数量",
|
| 96 |
+
"value": "64.330M"
|
| 97 |
+
},
|
| 98 |
+
{
|
| 99 |
+
"name": "计算量",
|
| 100 |
+
"value": "157.842GFLOPs"
|
| 101 |
+
}
|
| 102 |
+
],
|
| 103 |
+
"quickStart": {
|
| 104 |
+
"url": "https://gitee.com/HiSpark/modelzoo/tree/master/samples/built-in/detection/yolov4",
|
| 105 |
+
"markDownUrl": "",
|
| 106 |
+
"developLanguage": [
|
| 107 |
+
{
|
| 108 |
+
"language": "C++",
|
| 109 |
+
"context": "{\"ops\":[{\"attributes\":{\"background\":\"#ffffff\",\"size\":\"13px\",\"color\":\"#080808\"},\"insert\":\"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\\\"; // yolov4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::yolov4) != 0) {\"},{\"attributes\":{\"text-indent\":\"0px\",\"code-block\":\"plain\"},\"insert\":\"\\n\"},{\"insert\":\" LOG(ERROR) << \\\"fail to load model\\\";\"},{\"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\":\" LOG(ERROR) << \\\"fail to infer model\\\";\"},{\"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\":\" LOG(ERROR) << \\\"fail to unload model\\\";\"},{\"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:头文件和动态库位于\"},{\"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,编译配置参考\"},{\"attributes\":{\"background\":\"#ffffff\",\"size\":\"13px\",\"color\":\"#315fbd\",\"link\":\"https://gitee.com/HiSpark/modelzoo/blob/master/samples/built-in/detection/yolov4/src/CMakeLists.txt\"},\"insert\":\"文件\"},{\"attributes\":{\"text-indent\":\"0px\"},\"insert\":\"\\n\\n\"}]}"
|
| 110 |
+
}
|
| 111 |
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]
|
| 112 |
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},
|
| 113 |
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"status": "released",
|
| 114 |
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"currentHandler": "",
|
| 115 |
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"currentHandlerName": "",
|
| 116 |
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"jsonPath": "https://gitee.com/HiSpark/modelzoo-dev/blob/master/samples/built-in/detection/yolov4/yolov4.json",
|
| 117 |
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"modelAdaptor": [
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| 118 |
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| 119 |
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| 126 |
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"id": "i8ttm5k1tc00",
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| 127 |
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"name": "Hi3403V100 SVP_NNN",
|
| 128 |
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"modelId": "i9ivuh3hec00",
|
| 129 |
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"modelName": "YOLOv4",
|
| 130 |
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"supportNames": [
|
| 131 |
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"a16w8"
|
| 132 |
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],
|
| 133 |
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"toolkit": [
|
| 134 |
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{
|
| 135 |
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"name": "CANN工具",
|
| 136 |
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"url": "https://hispark-obs.obs.cn-east-3.myhuaweicloud.com/SVP_NNN_PC_V1.0.6.0.tgz",
|
| 137 |
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"desc": "Al异构计算架构;提升计算效率的关键平台",
|
| 138 |
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"imgId": "cann"
|
| 139 |
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},
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| 140 |
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{
|
| 141 |
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"name": "编译工具链",
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| 142 |
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"url": "https://gitee.com/HiSpark/pegasus/blob/Beta-v0.9.1/docs/Hi3403V100%E7%8E%AF%E5%A2%83%E6%90%AD%E5%BB%BA%E6%8C%87%E5%8D%97/Hi3403V100%E7%8E%AF%E5%A2%83%E6%90%AD%E5%BB%BA%E6%8C%87%E5%8D%97.md#241%E5%AE%89%E8%A3%85clang%E4%BA%A4%E5%8F%89%E7%BC%96%E8%AF%91%E5%99%A8",
|
| 143 |
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"desc": "高效编译,精准适配;AI性能优化,应用流畅运行",
|
| 144 |
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"imgId": "tool"
|
| 145 |
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},
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| 146 |
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{
|
| 147 |
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"name": "SDK",
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| 148 |
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"url": "https://gitee.com/HiSpark/ss928v100_clang/tree/Beta-v0.9.1/",
|
| 149 |
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"desc": "稳定、易用的设计;支撑客户快速产品量产",
|
| 150 |
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"imgId": "sdk"
|
| 151 |
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}
|
| 152 |
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],
|
| 153 |
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"supportOs": [
|
| 154 |
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"OpenHarmony",
|
| 155 |
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"Linux"
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| 156 |
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| 157 |
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| 158 |
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| 161 |
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| 164 |
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| 165 |
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| 166 |
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"id": "j6tm5a1gi000",
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| 167 |
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"name": "a16w8",
|
| 168 |
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"computingId": "i8ttm5k1tc00",
|
| 169 |
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"computingName": "Hi3403V100 SVP_NNN",
|
| 170 |
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"omOfflineModelUrl": null,
|
| 171 |
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"omOfflineModelId": 1712122820165635,
|
| 172 |
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"omOfflineModelSize": "65469713",
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| 173 |
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|
| 174 |
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"omOfflineModel": [
|
| 175 |
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{
|
| 176 |
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"id": "1712122820165635",
|
| 177 |
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"name": "yolov4_dpico.om",
|
| 178 |
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"url": null,
|
| 179 |
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"size": "65469713"
|
| 180 |
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}
|
| 181 |
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],
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| 182 |
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| 183 |
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"releaseTime": "2025-12-23",
|
| 184 |
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"boardOs": null,
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| 185 |
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"modelLicense": "https://gitee.com/HiSpark/modelzoo/tree/master/samples/built-in/detection/yolov4/LICENSE",
|
| 186 |
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"modelPerformance": [
|
| 187 |
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{
|
| 188 |
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"performanceValue": "252.58",
|
| 189 |
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"unit": "耗时(ms)",
|
| 190 |
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"desc": "性能工具。"
|
| 191 |
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|
| 192 |
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{
|
| 193 |
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"performanceValue": "3.96",
|
| 194 |
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"unit": "性能(fps)",
|
| 195 |
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|
| 196 |
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|
| 197 |
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{
|
| 198 |
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|
| 199 |
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"unit": "单帧内存带宽(MB)",
|
| 200 |
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|
| 201 |
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},
|
| 202 |
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{
|
| 203 |
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"performanceValue": "119.559",
|
| 204 |
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|
| 205 |
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|
| 206 |
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|
| 207 |
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|
| 208 |
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| 209 |
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| 210 |
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| 211 |
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| 213 |
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| 220 |
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| 221 |
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| 222 |
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|
| 223 |
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"modelId": "i9ivuh3hec00",
|
| 224 |
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"modelName": "YOLOv4",
|
| 225 |
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| 226 |
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"f16"
|
| 227 |
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|
| 228 |
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|
| 229 |
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{
|
| 230 |
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"name": "CANN工具包",
|
| 231 |
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"url": null,
|
| 232 |
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"desc": "5.30.t11.7.b110; (请联系FAE获取)",
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| 233 |
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|
| 234 |
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| 235 |
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{
|
| 236 |
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"name": "编译工具链",
|
| 237 |
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"url": "",
|
| 238 |
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"desc": "aarch64-mix210-linux-gcc;(请联系FAE获取)",
|
| 239 |
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| 240 |
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| 241 |
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{
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| 242 |
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"name": "SDK",
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| 243 |
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"url": "",
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| 244 |
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"desc": "SS928 V100R001C02SPC022; (请联系FAE获取)",
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| 245 |
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| 246 |
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| 247 |
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| 280 |
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| 281 |
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| 282 |
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yolov4.onnx
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yolov4.pth
ADDED
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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