Get it working for windows

.github/workflows/publish.yml

@@ -43,3 +43,31 @@ jobs:
           key-id: ${{ secrets.viam_key_id }}
           key-value: ${{ secrets.viam_key_value }}
 
+  publish-windows:
+    needs: validate-tag
+    name: Build and Upload Windows module
+    runs-on: ${{ matrix.build_target.built_on }}
+    strategy:
+      matrix:
+        build_target:
+          - platform: windows/amd64
+            built_on: windows-latest
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v4
+      - name: Setup Go
+        uses: actions/setup-go@v5
+        with:
+          go-version-file: go.mod
+      - name: Build
+        run: go build -a -o module.exe ./cmd/module
+      - name: Package
+        run: tar -czf module.tar.gz module.exe third_party/onnxruntime.dll
+      - name: Install Viam CLI
+        run: |
+          Invoke-WebRequest -Uri "https://storage.googleapis.com/packages.viam.com/apps/viam-cli/viam-cli-latest-windows-amd64.exe" -OutFile "viam.exe"
+      - name: Publish build to Viam registry
+        run: |
+          .\viam.exe login api-key --key-id ${{ secrets.viam_key_id }} --key ${{ secrets.viam_key_value }}
+          .\viam.exe module upload --platform ${{ matrix.build_target.platform }} --version ${{ github.ref_name }} module.tar.gz
+

Makefile

@@ -7,7 +7,7 @@ lint:
 
 module.tar.gz:
 ifeq ($(VIAM_TARGET_OS),windows) # this needs to be at the top since windows is emulated
-	GOOS=windows GOARCH=amd64 go build -a -o module.exe ./cmd/module
+	CGO_ENABLED=1 CC=x86_64-w64-mingw32-gcc GOOS=windows GOARCH=amd64 go build -a -o module.exe ./cmd/module
 	jq '.entrypoint = "module.exe"' meta.json > temp.json && mv temp.json meta.json
 	tar -czf $@ module.exe third_party/onnxruntime.dll meta.json
 else ifeq ($(MOD_OS),Darwin)

README.md

@@ -10,7 +10,7 @@ Before configuring your ML model, you must [create a machine](https://docs.viam.
 
 ## Build and run
 
-To use this module, follow these instructions to [add a module from the Viam Registry](https://docs.viam.com/registry/configure/#add-a-modular-resource-from-the-viam-registry) and select the `viam-labs:mlmodel:onnx-cpu` model from the [`onnx-cpu` module](https://github.com/viam-labs/onnx-cpu).
+To use this module, follow these instructions to [add a module from the Viam Registry](https://docs.viam.com/registry/configure/#add-a-modular-resource-from-the-viam-registry) and select the `viam:mlmodel:onnx-cpu` model from the [`onnx-cpu` module](https://github.com/viam-modules/onnx-cpu).
 
 ## Configure your `onnx-cpu` ML model
 
@@ -37,7 +37,7 @@ If you prefer to configure your service using JSON, use the following attributes
 
 ### Attributes
 
-The following attributes are available for the `viam-labs:mlmodel:onnx-cpu` ML model service:
+The following attributes are available for the `viam:mlmodel:onnx-cpu` ML model service:
 
 | Name    | Type   | Inclusion    | Description |
 | ------- | ------ | ------------ | ----------- |
@@ -53,7 +53,7 @@ The following attributes are available for the `viam-labs:mlmodel:onnx-cpu` ML m
     {
       "name": "onnx",
       "type": "mlmodel",
-      "model": "viam-labs:mlmodel:onnx-cpu",
+      "model": "viam:mlmodel:onnx-cpu",
       "attributes": {
         "model_path": "/path/to/onnx_file/detector_googlenet.onnx"
         "label_path": "/path/to/labels.txt"
@@ -116,7 +116,7 @@ tar -czf module.tar.gz module third_party/
 
 For Android, the Makefile will create the tar file.
 
-You can then add the module to app.viam.com locally. the model triplet is `viam-labs:mlmodel:onnx-cpu`.
+You can then add the module to app.viam.com locally. the model triplet is `viam:mlmodel:onnx-cpu`.
 
 ## License
 

cmd/module/main.go

@@ -7,7 +7,7 @@ import (
 	"go.viam.com/rdk/module"
 	"go.viam.com/rdk/services/mlmodel"
 
-	onnx "github.com/viam-labs/onnx-cpu"
+	onnx "github.com/viam-modules/onnx-cpu"
 )
 
 func main() {

go.mod

@@ -1,4 +1,4 @@
-module github.com/viam-labs/onnx-cpu
+module github.com/viam-modules/onnx-cpu
 
 go 1.25.1
 

meta.json

@@ -2,7 +2,7 @@
   "module_id": "viam:onnx-cpu",
   "build": {
       "build": "make module.tar.gz",
-      "arch" : ["linux/amd64", "linux/arm64", "darwin/arm64", "windows/amd64"]
+      "arch" : ["linux/amd64", "linux/arm64", "darwin/arm64"]
   },
   "visibility": "public",
   "url": "https://github.com/viam-modules/onnx-cpu",

onnx_cpu.go

@@ -18,7 +18,7 @@ import (
 )
 
 // Model is the name of the module
-var Model = resource.ModelNamespace("viam-labs").WithFamily("mlmodel").WithModel("onnx-cpu")
+var Model = resource.ModelNamespace("viam").WithFamily("mlmodel").WithModel("onnx-cpu")
 
 // DataTypeMap maps the long ONNX data type labels to the data type as written in Go.
 var DataTypeMap = map[ort.TensorElementDataType]string{