File size: 15,422 Bytes
a9eb784 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 | {
"name": "EfficientNetV2",
"id": "hs4fr0150o00",
"description": "EfficientNetV2是一系列图像分类模型，与现有技术相比，其实现了更好的参数效率和更快的训练速度。基于EfficientNetV1，Efficient NetV2模型使用神经架构搜索（NAS）来联合优化模型大小和训练速度，并以更快的训练和推理速度进行扩展。",
"category": "计算机视觉",
"framework": [
"PyTorch"
],
"supportOs": [
"OpenHarmony",
"Linux"
],
"computingPower": [
"Hi3403V100 SVP_NNN",
"Hi3403V100 NNN"
],
"tags": [
"分类"
],
"repositoryUrl": "https://gitee.com/HiSpark/modelzoo/tree/master/samples/built-in/classification/EfficientNetV2",
"licenseUrl": "https://github.com/huggingface/pytorch-image-models/blob/main/LICENSE",
"downloads": [
{
"fileName": "efficientnetv2.onnx",
"variants": [
"源模型 / 源模型下载",
"源模型 / 源模型元数据"
]
},
{
"fileName": "efficientnetv2_t_agc-3620981a.pth",
"variants": [
"源模型 / 源模型下载",
"源模型 / 源模型元数据"
]
},
{
"fileName": "vit_base_patch16_224.om",
"variants": [
"编译模型 / OM 元数据 / f16"
]
},
{
"fileName": "SVP_NNN_PC_V1.0.6.0.tgz",
"variants": [
"附加资源 / 附加资源"
]
}
],
"apiDetail": {
"createdBy": 137441035408492,
"creationDate": "2025-11-13 21:53:09",
"creationUserCN": "0e900d99dee8461b8",
"lastUpdatedBy": null,
"lastUpdateDate": "2025-11-29 14:49:58",
"lastUpdateUserCN": "0e900d99dee8461b8",
"rowIdx": -1,
"id": "hs4fr0150o00",
"name": "EfficientNetV2",
"isBeta": 1,
"betaVersionDesc": "Hi3403V100 SVP_NNN引擎上模型性能待进一步优化",
"description": "EfficientNetV2是一系列图像分类模型，与现有技术相比，其实现了更好的参数效率和更快的训练速度。基于EfficientNetV1，Efficient NetV2模型使用神经架构搜索（NAS）来联合优化模型大小和训练速度，并以更快的训练和推理速度进行扩展。",
"parentId": "h8ei3b756c00",
"coverImageId": 1700943102148611,
"coverImageUrl": "https://openxinhuo-board-image.obs.cn-east-3.myhuaweicloud.com/1700943102148611%2Feff.png",
"modelEffectId": null,
"modelEffectUrl": "",
"computerVersion": [
"分类"
],
"naturalLanguageProcess": [],
"multimodal": [],
"video": [],
"framework": [
"PyTorch"
],
"modelRepository": "https://gitee.com/HiSpark/modelzoo/tree/master/samples/built-in/classification/EfficientNetV2",
"originModel": [
{
"id": "1706935376281603",
"name": "efficientnetv2.onnx",
"url": null,
"size": "54407550"
},
{
"id": "1706935344824322",
"name": "efficientnetv2_t_agc-3620981a.pth",
"url": null,
"size": "55190269"
}
],
"originModelLink": null,
"dataSet": "https://image-net.org/",
"modelLicense": "https://github.com/huggingface/pytorch-image-models/blob/main/LICENSE",
"detailParams": [
{
"name": "输入",
"value": "288x288"
},
{
"name": "参数量",
"value": "25.530M"
},
{
"name": "计算量",
"value": "8.235GFLOPs"
}
],
"quickStart": {
"url": "https://gitee.com/HiSpark/modelzoo/tree/master/samples/built-in/classification/EfficientNetV2",
"markDownUrl": "",
"developLanguage": [
{
"language": "C++",
"context": "{\"ops\":[{\"attributes\":{\"background\":\"#ffffff\",\"size\":\"13px\",\"color\":\"#080808\"},\"insert\":\"EfficientNetV2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\\\"; // EfficientNetV2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::EfficientNet) != 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：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/built-in/classification/EfficientNetV2/src/CMakeLists.txt\"},\"insert\":\"CMakeLists.txt\"},{\"attributes\":{\"background\":\"#ffffff\",\"size\":\"13px\",\"color\":\"#080808\"},\"insert\":\"。\"},{\"attributes\":{\"text-indent\":\"0px\"},\"insert\":\"\\n\\n\"}]}"
}
]
},
"status": "released",
"currentHandler": "",
"currentHandlerName": null,
"jsonPath": "https://gitee.com/HiSpark/modelzoo-dev/blob/master/samples/built-in/classification/EfficientNetV2/EfficientNetV2.json",
"modelAdaptor": [
{
"createdBy": null,
"creationDate": null,
"creationUserCN": null,
"lastUpdatedBy": null,
"lastUpdateDate": null,
"lastUpdateUserCN": null,
"rowIdx": -1,
"id": "i8ttm5k1tc00",
"name": "Hi3403V100 SVP_NNN",
"modelId": "hs4fr0150o00",
"modelName": "EfficientNetV2",
"supportNames": [
"a8w8"
],
"toolkit": [
{
"name": "CANN工具",
"url": "https://hispark-obs.obs.cn-east-3.myhuaweicloud.com/SVP_NNN_PC_V1.0.6.0.tgz",
"desc": "Al异构计算架构；提升计算效率的关键平台",
"imgId": "cann"
},
{
"name": "编译工具链",
"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",
"desc": "高效编译，精准适配；AI性能优化，应用流畅运行",
"imgId": "tool"
},
{
"name": "SDK",
"url": "https://gitee.com/HiSpark/ss928v100_clang/tree/Beta-v0.9.1/ ",
"desc": "稳定、易用的设计；支撑客户快速产品量产",
"imgId": "sdk"
}
],
"supportOs": [
"OpenHarmony",
"Linux"
],
"supportQuantify": [
{
"createdBy": 132241120926760,
"creationDate": "2026-03-26 20:28:49",
"creationUserCN": "liaoshibin",
"lastUpdatedBy": 132241120926760,
"lastUpdateDate": "2026-03-26 20:28:49",
"lastUpdateUserCN": "liaoshibin",
"rowIdx": -1,
"id": "j6tnvo90tk00",
"name": "a8w8",
"computingId": "i8ttm5k1tc00",
"computingName": "Hi3403V100 SVP_NNN",
"omOfflineModelUrl": null,
"omOfflineModelId": 1712879799762947,
"omOfflineModelSize": "16091832",
"omOfflineModelName": "efficientnetv2.om",
"omOfflineModel": [
{
"id": "1712879799762947",
"name": "efficientnetv2.om",
"url": null,
"size": "16091832"
}
],
"omOfflineModelLink": null,
"releaseTime": "2025-11-18",
"boardOs": null,
"modelLicense": "https://gitee.com/HiSpark/modelzoo-dev/tree/master/samples/built-in/classification/EfficientNetV2/LICENSE",
"modelPerformance": [
{
"performanceValue": "27.35",
"unit": "耗时（ms）",
"desc": ""
},
{
"performanceValue": "36.57",
"unit": "性能（fps）",
"desc": ""
},
{
"performanceValue": "55.91",
"unit": "单帧内存带宽（MB）",
"desc": ""
},
{
"performanceValue": "20.441",
"unit": "内存（MB）",
"desc": ""
}
],
"deleted": 0
}
],
"deleted": 0
},
{
"createdBy": null,
"creationDate": null,
"creationUserCN": null,
"lastUpdatedBy": null,
"lastUpdateDate": null,
"lastUpdateUserCN": null,
"rowIdx": -1,
"id": "i8ttm5k1tc01",
"name": "Hi3403V100 NNN",
"modelId": "hs4fr0150o00",
"modelName": "EfficientNetV2",
"supportNames": [
"f16"
],
"toolkit": [
{
"name": "CANN工具",
"url": "",
"desc": "SS928 V100R001C02SPC022； (请联系FAE获取)",
"imgId": "cann"
},
{
"name": "编译工具链",
"url": "",
"desc": "aarch64-mix210-linux-gcc；(请联系FAE获取)",
"imgId": "tool"
},
{
"name": "SDK",
"url": "",
"desc": "SS928 V100R001C02SPC022； (请联系FAE获取)",
"imgId": "sdk"
}
],
"supportOs": [
"Linux"
],
"supportQuantify": [
{
"createdBy": 132241120926760,
"creationDate": "2026-03-26 20:28:49",
"creationUserCN": "liaoshibin",
"lastUpdatedBy": 132241120926760,
"lastUpdateDate": "2026-03-26 20:28:49",
"lastUpdateUserCN": "liaoshibin",
"rowIdx": -1,
"id": "j6tnvoa8tk00",
"name": "f16",
"computingId": "i8ttm5k1tc01",
"computingName": "Hi3403V100 NNN",
"omOfflineModelUrl": null,
"omOfflineModelId": 1712914614583297,
"omOfflineModelSize": "176647820",
"omOfflineModelName": "vit_base_patch16_224.om",
"omOfflineModel": [
{
"id": "1712914614583297",
"name": "vit_base_patch16_224.om",
"url": null,
"size": "176647820"
}
],
"omOfflineModelLink": null,
"releaseTime": "2025-11-18",
"boardOs": null,
"modelLicense": "https://gitee.com/HiSpark/modelzoo-dev/tree/master/samples/built-in/classification/EfficientNetV2/LICENSE",
"modelPerformance": [
{
"performanceValue": "36.512",
"unit": "耗时（ms）",
"desc": ""
},
{
"performanceValue": "27.388",
"unit": "性能（fps）",
"desc": ""
},
{
"performanceValue": "150.156",
"unit": "单帧内存带宽（MB）",
"desc": ""
},
{
"performanceValue": "131.914",
"unit": "内存（MB）",
"desc": ""
}
],
"deleted": 0
}
],
"deleted": 0
}
],
"saveType": null,
"deleteType": null,
"latest": "Y",
"deleted": 0,
"modelPhase": "released",
"remark": null,
"fileInfo": null,
"reviewType": null,
"owner": "0e900d99dee8461b8",
"ownerBy": 137441035408492,
"optional": null,
"optionalList": null,
"optionalBy": null,
"downloadNum": 18,
"collectNum": null,
"isCollect": null
}
}
|