v2-and-v3-weights

README.md

@@ -0,0 +1,17 @@
+---
+license: mit
+---
+
+MobileNet models ported from [torchvision](https://pytorch.org/vision/stable/index.html) for use with [Metalhead.jl](https://github.com/FluxML/Metalhead.jl). The script for creating this file can be found [here](https://github.com/FluxML/Metalhead.jl/blob/master/scripts/port_torchvision.jl).
+
+To use this model in Julia, [add the Metalhead.jl package to your environment](https://pkgdocs.julialang.org/v1/managing-packages/#Adding-packages). Then execute:
+```julia
+using Metalhead
+
+# MobileNet V2 model
+model = MobileNetv2(pretrain=true)
+
+# MobileNet V3 models
+model = MobileNetv3(:small, pretrain=true)
+model = MobileNetv3(:large, pretrain=true)
+```

mobilenet_v2-IMAGENET1K_V2.tar.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:24d8afb8897cb82825c51e65c7a02f4b2117581294de25ac7fd5222bbc15ae6e
+size 13168693

mobilenet_v3_large-IMAGENET1K_V2.tar.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:555fcb5f4f6574d77b603b2fc6672ab437ef60a1a20bc2f951122c91aaaf2f69
+size 20467969

mobilenet_v3_small-IMAGENET1K_V1.tar.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:35b7f6d733bfbd1621349a0ec27391c2714add7ca80006fb4032d8bc66629c97
+size 9477618