Efficientdet PyTorch codebase

PyTorch codebase for training and using Efficientdet model. Refer to the following guides for the use-cases of this codebase, setup instructions and performance numbers:

EfficientDet For PyTorch

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Refer to the following guides for the use-cases of this codebase, setup instructions and performance numbers:\n\n- [EfficientDet For PyTorch](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/dle/resources/efficientdet_pyt)","displayName","Efficientdet PyTorch codebase",["D",1680811610192],"publisher","NVIDIA Deep Learning Examples","latestVersion","collectionCounts","imageUrl","/api/image/nvidia/dle/resources/efficientdet-pyt","rawImageUrl","https://assets.nvidiagrid.net/ngc/logos/Deep-Learning-Examples.png","canGuestDownload","latestVersionSizeInBytes","licenseTerms","isMultinodeEnabled","isMultiArchitecture","bias","explainability","privacy","safetyAndSecurity","featureLabels",[],"displayLabels",[277],"policyLabels",[],"systemLabels",[],"products",[],"hasNimMetadata",{"_246":278,"_279":280,"_281":282,"_283":87},"Deep Learning Examples","value","pltfm_deep_learning_examples","filter",{"_284":285,"_279":280},"category","field","platform",{"_157":1462,"_159":1463},"ngcApps",[1415],"csaApiBaseUrl","https://www.nvidia.com/ai-agents/csa-agent/dcsm","datadogRum",{"_1396":1397,"_1398":1399,"_1400":1401,"_1402":1403,"_1404":297,"_109":321,"_1405":1406,"_1407":60,"_1408":90,"_1409":90,"_1410":1411,"_1412":90,"_1413":1414},"amplitude",{"_1393":1394,"_995":-7,"_1395":35},"disableJs","environment","prod","featureFlagsBlob","JTdCJTIydGVzdEZsYWclMjIlM0FmYWxzZSUyQyUyMnNob3dTZWFyY2hMYWJlbFNldEZpbHRlcnMlMjIlM0FmYWxzZSUyQyUyMmNoaW5hTmltRGlzdHJpYnV0b3JzUmVkZXNpZ24lMjIlM0F0cnVlJTJDJTIyZW5hYmxlQ3NhV2lkZ2V0JTIyJTNBZmFsc2UlMkMlMjJlbmFibGVQcm9kdWN0R3JvdXBpbmdCeVN1YnNjcmlwdGlvbiUyMiUzQWZhbHNlJTJDJTIyY29udGFpbmVyU2Nhbm5pbmdSZWRlc2lnbk0xJTIyJTNBdHJ1ZSU3RA==","featureFlagsGuarded","isDevLikeEnv","isPlaywright","isMobileDevice","categorizedOrgs",{"_1387":1388,"_1389":1390,"_1391":1392},"currentOrgContext","currentContextRoles",[],"enterpriseOrgs",[],"locale","en","ngcApiOrigin","ngcHelmOrigin","origin","https://catalog.ngc.nvidia.com","usesMocks","theme","year",2026,"1.7.3","defaultSearchSuggestions",{"_1270":402,"_1271":1272,"_1273":1274,"_1275":1276},"announcements",[],"consentState",{"_359":1260,"_1261":90,"_1262":35,"_1263":35,"_1264":1265},"consentConfig",{"_341":342,"_343":344,"_345":346,"_347":348,"_349":350,"_351":352,"_353":354,"_355":356,"_357":358,"_359":360},"showContactAdmin",1783995385417,[],[],[335,336,337,338,339,340],{"_49":63,"_51":73,"_53":152,"_55":-5,"_57":-5,"_59":60},{"_49":63,"_51":70,"_53":152,"_55":-5,"_57":-5,"_59":60},{"_49":63,"_51":68,"_53":152,"_55":-5,"_57":-5,"_59":60},{"_49":63,"_51":64,"_53":152,"_55":-5,"_57":-5,"_59":60},{"_49":61,"_51":62,"_53":152,"_55":-5,"_57":-5,"_59":60},{"_49":50,"_51":52,"_53":152,"_55":-5,"_57":-5,"_59":60},"mainInfoText","We and our third-party partners (including social media, advertising, and analytics partners) use cookies and other tracking technologies to collect, store, monitor, and process certain information about you when you visit our website. 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21.06.1	94	457.84 KB	April 6, 2023 UTC
21.06.0Selected	94	457.61 KB	September 22, 2022 UTC