adding dev workflows for openpose and mmpose

.github/workflows/ecr-mmpose-dev.yml

@@ -0,0 +1,70 @@
+# This workflow will build and push a new container image to Amazon ECR,
+# and then will deploy a new task definition to Amazon ECS, on every push
+# to the master branch.
+#
+# To use this workflow, you will need to complete the following set-up steps:
+#
+# 1. Create an ECR repository to store your images.
+#    For example: `aws ecr create-repository --repository-name my-ecr-repo --region us-east-2`.
+#    Replace the value of `ECR_REPOSITORY` in the workflow below with your repository's name.
+#    Replace the value of `aws-region` in the workflow below with your repository's region.
+#
+# 2. Create an ECS task definition, an ECS cluster, and an ECS service.
+#    For example, follow the Getting Started guide on the ECS console:
+#      https://us-east-2.console.aws.amazon.com/ecs/home?region=us-east-2#/firstRun
+#    Replace the values for `service` and `cluster` in the workflow below with your service and cluster names.
+#
+# 3. Store your ECS task definition as a JSON file in your repository.
+#    The format should follow the output of `aws ecs register-task-definition --generate-cli-skeleton`.
+#    Replace the value of `task-definition` in the workflow below with your JSON file's name.
+#    Replace the value of `container-name` in the workflow below with the name of the container
+#    in the `containerDefinitions` section of the task definition.
+#
+# 4. Store an IAM user access key in GitHub Actions secrets named `AWS_ACCESS_KEY_ID` and `AWS_SECRET_ACCESS_KEY`.
+#    See the documentation for each action used below for the recommended IAM policies for this IAM user,
+#    and best practices on handling the access key credentials.
+
+on:
+  push:
+    branches:
+      - dev
+
+name: Deploy to Amazon ECS
+
+jobs:
+  deploy:
+    name: Deploy OpenCap
+    runs-on: ubuntu-latest
+
+    steps:
+    - name: Checkout
+      uses: actions/checkout@v1
+
+    - name: Configure AWS credentials
+      uses: aws-actions/configure-aws-credentials@v1
+      with:
+        aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }}
+        aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
+        aws-region: us-west-2
+
+    - name: Login to Amazon ECR
+      id: login-ecr
+      uses: aws-actions/amazon-ecr-login@v1
+
+    - name: Build, tag, and push image to Amazon ECR
+      id: build-image
+      env:
+        ECR_REGISTRY: ${{ steps.login-ecr.outputs.registry }}
+        ECR_REPOSITORY: opencap/mmpose-dev
+        IMAGE_TAG: latest # ${{ github.sha }}
+      run: |
+        # Build a docker container and
+        # push it to ECR so that it can
+        # be deployed to ECS.
+        docker build -f docker/mmpose/Dockerfile -t $ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG .
+        docker push $ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG
+        echo "::set-output name=image::$ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG"
+        
+    - name: Force deployment
+      run: |
+        aws ecs update-service --cluster opencap-processing-cluster-dev --service worker --force-new-deployment

.github/workflows/ecr-openpose-dev.yml

@@ -0,0 +1,70 @@
+# This workflow will build and push a new container image to Amazon ECR,
+# and then will deploy a new task definition to Amazon ECS, on every push
+# to the master branch.
+#
+# To use this workflow, you will need to complete the following set-up steps:
+#
+# 1. Create an ECR repository to store your images.
+#    For example: `aws ecr create-repository --repository-name my-ecr-repo --region us-east-2`.
+#    Replace the value of `ECR_REPOSITORY` in the workflow below with your repository's name.
+#    Replace the value of `aws-region` in the workflow below with your repository's region.
+#
+# 2. Create an ECS task definition, an ECS cluster, and an ECS service.
+#    For example, follow the Getting Started guide on the ECS console:
+#      https://us-east-2.console.aws.amazon.com/ecs/home?region=us-east-2#/firstRun
+#    Replace the values for `service` and `cluster` in the workflow below with your service and cluster names.
+#
+# 3. Store your ECS task definition as a JSON file in your repository.
+#    The format should follow the output of `aws ecs register-task-definition --generate-cli-skeleton`.
+#    Replace the value of `task-definition` in the workflow below with your JSON file's name.
+#    Replace the value of `container-name` in the workflow below with the name of the container
+#    in the `containerDefinitions` section of the task definition.
+#
+# 4. Store an IAM user access key in GitHub Actions secrets named `AWS_ACCESS_KEY_ID` and `AWS_SECRET_ACCESS_KEY`.
+#    See the documentation for each action used below for the recommended IAM policies for this IAM user,
+#    and best practices on handling the access key credentials.
+
+on:
+  push:
+    branches:
+      - dev
+
+name: Deploy to Amazon ECS
+
+jobs:
+  deploy:
+    name: Deploy OpenCap
+    runs-on: ubuntu-latest
+
+    steps:
+    - name: Checkout
+      uses: actions/checkout@v1
+
+    - name: Configure AWS credentials
+      uses: aws-actions/configure-aws-credentials@v1
+      with:
+        aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }}
+        aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
+        aws-region: us-west-2
+
+    - name: Login to Amazon ECR
+      id: login-ecr
+      uses: aws-actions/amazon-ecr-login@v1
+
+    - name: Build, tag, and push image to Amazon ECR
+      id: build-image
+      env:
+        ECR_REGISTRY: ${{ steps.login-ecr.outputs.registry }}
+        ECR_REPOSITORY: opencap/openpose-dev
+        IMAGE_TAG: latest # ${{ github.sha }}
+      run: |
+        # Build a docker container and
+        # push it to ECR so that it can
+        # be deployed to ECS.
+        docker build -f docker/openpose/Dockerfile -t $ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG .
+        docker push $ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG
+        echo "::set-output name=image::$ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG"
+        
+    - name: Force deployment
+      run: |
+        aws ecs update-service --cluster opencap-processing-cluster-dev --service worker --force-new-deployment

app.py

@@ -19,7 +19,7 @@
 API_URL = getAPIURL()
 workerType = getWorkerType()
 autoScalingInstance = getASInstance()
-logging.info(f"AUTOSCALING INSTANCE: {autoScalingInstance}")
+logging.info(f"AUTOSCALING TEST INSTANCE: {autoScalingInstance}")
 
 # if true, will delete entire data directory when finished with a trial
 isDocker = True

openpose/loop_openpose.py

@@ -106,7 +106,7 @@ def getResolutionCommand(resolutionPoseDetection, horizontal):
         time.sleep(0.1)
         continue
 
-    logging.info("Processing...")
+    logging.info("Processing openpose ...")
 
     if os.path.isdir(output_dir):
         shutil.rmtree(output_dir)