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20 changes: 10 additions & 10 deletions api/README.md
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Expand Up@@ -20,12 +20,12 @@ Follow these steps to build your own image similarity model.
- **failed.pkl**: list of the index in targets of any images we failed to featurize.
- **total_i.pkl**: decimal count of the total number of images analyzed
- Shutdown and close the `Featurize Images.ipynb` notebook.
7. Next, we build a nearest neighbors model using the vector for each image you created in the previous step. This model will be used to search for the closest visually similar image.
3. Next, we build a nearest neighbors model using the vector for each image you created in the previous step. This model will be used to search for the closest visually similar image.
- Open the `Build Nearest Neighbors.ipynb` notebook
- Under the **Define Constants** cell, define the file path where the annoy model will be saved & path to the featurized images.
- Run the remaining cells. These cells will build, train and save the annoy index.

### You have now built your nearest neighbors index!
### You have now built your nearest neighbors index!

# Build the Docker Containers

Expand DownExpand Up@@ -55,12 +55,12 @@ Follow these steps to create a gpu enabled docker container for an image similar
```

## Build the BigGAN API container
Follow these steps to build your own API which generates images from proGAN.
Follow these steps to build your own API which generates images from BigGAN.
1. Navigate to `api/BigGAN/deployment`
2. Repeat steps 4-6 from **Build the image similarity API container** but update the container name and dockerfile name

## Build the ProGAN API container
Follow these steps to build your own API which generates images from proGAN.
Follow these steps to build your own API which generates images from ProGAN.
1. Navigate to `api/ProGAN/deployment`
2. Repeat steps 4-6 from **Build the image similarity API container** but update the container name and dockerfile name

Expand All@@ -71,11 +71,11 @@ These steps will walk through how to use ASK to deploy the Flask APIs.
## Install Azure CLI and kubectl & Deploy your AKS Cluster
1. [install the Azure CLI](https://docs.microsoft.com/en-us/cli/azure/install-azure-cli?view=azure-cli-latest). The Azure CLI is a command-line tool for managing Azure resources.

1. Create a resource group for your AKS cluster
2. Create a resource group for your AKS cluster
```bash
az group create --name myResourceGroup --location eastus
```
1. Create your AKS cluster
3. Create your AKS cluster
```bash
az aks create \
--resource-group myResourceGroup \
Expand All@@ -84,17 +84,17 @@ These steps will walk through how to use ASK to deploy the Flask APIs.
--enable-addons monitoring \
--generate-ssh-keys
```
1. Connect to the Kubernetes cluster from your local computer with [kubectl](https://kubernetes.io/docs/reference/kubectl/kubectl/), the Kubernetes command-line client. If you're using the Azure Cloud Shell, `kubectl` is already installed. To install it locally, use the [az aks install-cli](https://docs.microsoft.com/cli/azure/aks#az-aks-install-cli) command:
4. Connect to the Kubernetes cluster from your local computer with [kubectl](https://kubernetes.io/docs/reference/kubectl/kubectl/), the Kubernetes command-line client. If you're using the Azure Cloud Shell, `kubectl` is already installed. To install it locally, use the [az aks install-cli](https://docs.microsoft.com/cli/azure/aks#az-aks-install-cli) command:
```bash
az aks install-cli
```

1. Connect to the cluster using kubectl. To do this configure `kubectl` to connect to your AKS cluster with the [az aks get-credentials](https://docs.microsoft.com/cli/azure/aks#az-aks-get-credentials) command:
5. Connect to the cluster using kubectl. To do this configure `kubectl` to connect to your AKS cluster with the [az aks get-credentials](https://docs.microsoft.com/cli/azure/aks#az-aks-get-credentials) command:
```bash
az aks get-credentials --resource-group myResourceGroup --name myAKSCluster
```

1. Verify your connection with the [kubectl get nodes](https://kubernetes.io/docs/reference/generated/kubectl/kubectl-commands#get) command:
6. Verify your connection with the [kubectl get nodes](https://kubernetes.io/docs/reference/generated/kubectl/kubectl-commands#get) command:

@mhamilton723Mark Hamilton (mhamilton723)Mar 4, 2019

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These should be autopopulated if you use 1. so i think you can remove these

```bash
$ kubectl get nodes

Expand All@@ -117,4 +117,4 @@ These steps will walk through how to use ASK to deploy the Flask APIs.

```
az aks browse -g myResourceGroup -n myAKSCluster
```
```
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var __re = new RegExp('^' + "github\\.com" + '
copyedits by metasj · Pull Request #7 · microsoft/GenStudio · GitHub
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20 changes: 10 additions & 10 deletions
api/README.md

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Original file line numberDiff line numberDiff line change
Expand Up@@ -20,12 +20,12 @@ Follow these steps to build your own image similarity model.
 - **failed.pkl**: list of the index in targets of any images we failed to featurize.
 - **total_i.pkl**: decimal count of the total number of images analyzed
 - Shutdown and close the `Featurize Images.ipynb` notebook. 
7. Next, we build a nearest neighbors model using the vector for each image you created in the previous step. This model will be used to search for the closest visually similar image.
3. Next, we build a nearest neighbors model using the vector for each image you created in the previous step. This model will be used to search for the closest visually similar image.
 - Open the `Build Nearest Neighbors.ipynb` notebook
 - Under the **Define Constants** cell, define the file path where the annoy model will be saved & path to the featurized images.
 - Run the remaining cells. These cells will build, train and save the annoy index. 

 ### You have now built your nearest neighbors index!
 ### You have now built your nearest neighbors index!

# Build the Docker Containers

Expand DownExpand Up@@ -55,12 +55,12 @@ Follow these steps to create a gpu enabled docker container for an image similar
 ```

## Build the BigGAN API container
Follow these steps to build your own API which generates images from proGAN.
Follow these steps to build your own API which generates images from BigGAN.
1. Navigate to `api/BigGAN/deployment`
2. Repeat steps 4-6 from **Build the image similarity API container** but update the container name and dockerfile name

## Build the ProGAN API container
Follow these steps to build your own API which generates images from proGAN.
Follow these steps to build your own API which generates images from ProGAN.
1. Navigate to `api/ProGAN/deployment`
2. Repeat steps 4-6 from **Build the image similarity API container** but update the container name and dockerfile name

Expand All@@ -71,11 +71,11 @@ These steps will walk through how to use ASK to deploy the Flask APIs.
## Install Azure CLI and kubectl & Deploy your AKS Cluster
1. [install the Azure CLI](https://docs.microsoft.com/en-us/cli/azure/install-azure-cli?view=azure-cli-latest). The Azure CLI is a command-line tool for managing Azure resources. 

1. Create a resource group for your AKS cluster
2. Create a resource group for your AKS cluster
 ```bash
 az group create --name myResourceGroup --location eastus
 ```
1. Create your AKS cluster
3. Create your AKS cluster
 ```bash
 az aks create \
 --resource-group myResourceGroup \
Expand All@@ -84,17 +84,17 @@ These steps will walk through how to use ASK to deploy the Flask APIs.
 --enable-addons monitoring \
 --generate-ssh-keys
 ```
1. Connect to the Kubernetes cluster from your local computer with [kubectl](https://kubernetes.io/docs/reference/kubectl/kubectl/), the Kubernetes command-line client. If you're using the Azure Cloud Shell, `kubectl` is already installed. To install it locally, use the [az aks install-cli](https://docs.microsoft.com/cli/azure/aks#az-aks-install-cli) command:
4. Connect to the Kubernetes cluster from your local computer with [kubectl](https://kubernetes.io/docs/reference/kubectl/kubectl/), the Kubernetes command-line client. If you're using the Azure Cloud Shell, `kubectl` is already installed. To install it locally, use the [az aks install-cli](https://docs.microsoft.com/cli/azure/aks#az-aks-install-cli) command:
 ```bash
 az aks install-cli
 ```

1. Connect to the cluster using kubectl. To do this configure `kubectl` to connect to your AKS cluster with the [az aks get-credentials](https://docs.microsoft.com/cli/azure/aks#az-aks-get-credentials) command:
5. Connect to the cluster using kubectl. To do this configure `kubectl` to connect to your AKS cluster with the [az aks get-credentials](https://docs.microsoft.com/cli/azure/aks#az-aks-get-credentials) command:
 ```bash
 az aks get-credentials --resource-group myResourceGroup --name myAKSCluster
 ```

1. Verify your connection with the [kubectl get nodes](https://kubernetes.io/docs/reference/generated/kubectl/kubectl-commands#get) command:
6. Verify your connection with the [kubectl get nodes](https://kubernetes.io/docs/reference/generated/kubectl/kubectl-commands#get) command:
@mhamilton723Mark Hamilton (mhamilton723)Mar 4, 2019

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These should be autopopulated if you use 1. so i think you can remove these
 ```bash
 $ kubectl get nodes

Expand All@@ -117,4 +117,4 @@ These steps will walk through how to use ASK to deploy the Flask APIs.

 ```
 az aks browse -g myResourceGroup -n myAKSCluster
 ```
 ```

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copyedits by metasj · Pull Request #7 · microsoft/GenStudio · GitHub
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api/README.md

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Original file line numberDiff line numberDiff line change
Expand Up@@ -20,12 +20,12 @@ Follow these steps to build your own image similarity model.
 - **failed.pkl**: list of the index in targets of any images we failed to featurize.
 - **total_i.pkl**: decimal count of the total number of images analyzed
 - Shutdown and close the `Featurize Images.ipynb` notebook. 
7. Next, we build a nearest neighbors model using the vector for each image you created in the previous step. This model will be used to search for the closest visually similar image.
3. Next, we build a nearest neighbors model using the vector for each image you created in the previous step. This model will be used to search for the closest visually similar image.
 - Open the `Build Nearest Neighbors.ipynb` notebook
 - Under the **Define Constants** cell, define the file path where the annoy model will be saved & path to the featurized images.
 - Run the remaining cells. These cells will build, train and save the annoy index. 

 ### You have now built your nearest neighbors index!
 ### You have now built your nearest neighbors index!

# Build the Docker Containers

Expand DownExpand Up@@ -55,12 +55,12 @@ Follow these steps to create a gpu enabled docker container for an image similar
 ```

## Build the BigGAN API container
Follow these steps to build your own API which generates images from proGAN.
Follow these steps to build your own API which generates images from BigGAN.
1. Navigate to `api/BigGAN/deployment`
2. Repeat steps 4-6 from **Build the image similarity API container** but update the container name and dockerfile name

## Build the ProGAN API container
Follow these steps to build your own API which generates images from proGAN.
Follow these steps to build your own API which generates images from ProGAN.
1. Navigate to `api/ProGAN/deployment`
2. Repeat steps 4-6 from **Build the image similarity API container** but update the container name and dockerfile name

Expand All@@ -71,11 +71,11 @@ These steps will walk through how to use ASK to deploy the Flask APIs.
## Install Azure CLI and kubectl & Deploy your AKS Cluster
1. [install the Azure CLI](https://docs.microsoft.com/en-us/cli/azure/install-azure-cli?view=azure-cli-latest). The Azure CLI is a command-line tool for managing Azure resources. 

1. Create a resource group for your AKS cluster
2. Create a resource group for your AKS cluster
 ```bash
 az group create --name myResourceGroup --location eastus
 ```
1. Create your AKS cluster
3. Create your AKS cluster
 ```bash
 az aks create \
 --resource-group myResourceGroup \
Expand All@@ -84,17 +84,17 @@ These steps will walk through how to use ASK to deploy the Flask APIs.
 --enable-addons monitoring \
 --generate-ssh-keys
 ```
1. Connect to the Kubernetes cluster from your local computer with [kubectl](https://kubernetes.io/docs/reference/kubectl/kubectl/), the Kubernetes command-line client. If you're using the Azure Cloud Shell, `kubectl` is already installed. To install it locally, use the [az aks install-cli](https://docs.microsoft.com/cli/azure/aks#az-aks-install-cli) command:
4. Connect to the Kubernetes cluster from your local computer with [kubectl](https://kubernetes.io/docs/reference/kubectl/kubectl/), the Kubernetes command-line client. If you're using the Azure Cloud Shell, `kubectl` is already installed. To install it locally, use the [az aks install-cli](https://docs.microsoft.com/cli/azure/aks#az-aks-install-cli) command:
 ```bash
 az aks install-cli
 ```

1. Connect to the cluster using kubectl. To do this configure `kubectl` to connect to your AKS cluster with the [az aks get-credentials](https://docs.microsoft.com/cli/azure/aks#az-aks-get-credentials) command:
5. Connect to the cluster using kubectl. To do this configure `kubectl` to connect to your AKS cluster with the [az aks get-credentials](https://docs.microsoft.com/cli/azure/aks#az-aks-get-credentials) command:
 ```bash
 az aks get-credentials --resource-group myResourceGroup --name myAKSCluster
 ```

1. Verify your connection with the [kubectl get nodes](https://kubernetes.io/docs/reference/generated/kubectl/kubectl-commands#get) command:
6. Verify your connection with the [kubectl get nodes](https://kubernetes.io/docs/reference/generated/kubectl/kubectl-commands#get) command:
@mhamilton723Mark Hamilton (mhamilton723)Mar 4, 2019

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These should be autopopulated if you use 1. so i think you can remove these
 ```bash
 $ kubectl get nodes

Expand All@@ -117,4 +117,4 @@ These steps will walk through how to use ASK to deploy the Flask APIs.

 ```
 az aks browse -g myResourceGroup -n myAKSCluster
 ```
 ```

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copyedits by metasj · Pull Request #7 · microsoft/GenStudio · GitHub
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20 changes: 10 additions & 10 deletions
api/README.md

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Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -20,12 +20,12 @@ Follow these steps to build your own image similarity model.
 - **failed.pkl**: list of the index in targets of any images we failed to featurize.
 - **total_i.pkl**: decimal count of the total number of images analyzed
 - Shutdown and close the `Featurize Images.ipynb` notebook. 
7. Next, we build a nearest neighbors model using the vector for each image you created in the previous step. This model will be used to search for the closest visually similar image.
3. Next, we build a nearest neighbors model using the vector for each image you created in the previous step. This model will be used to search for the closest visually similar image.
 - Open the `Build Nearest Neighbors.ipynb` notebook
 - Under the **Define Constants** cell, define the file path where the annoy model will be saved & path to the featurized images.
 - Run the remaining cells. These cells will build, train and save the annoy index. 

 ### You have now built your nearest neighbors index!
 ### You have now built your nearest neighbors index!

# Build the Docker Containers

Expand DownExpand Up@@ -55,12 +55,12 @@ Follow these steps to create a gpu enabled docker container for an image similar
 ```

## Build the BigGAN API container
Follow these steps to build your own API which generates images from proGAN.
Follow these steps to build your own API which generates images from BigGAN.
1. Navigate to `api/BigGAN/deployment`
2. Repeat steps 4-6 from **Build the image similarity API container** but update the container name and dockerfile name

## Build the ProGAN API container
Follow these steps to build your own API which generates images from proGAN.
Follow these steps to build your own API which generates images from ProGAN.
1. Navigate to `api/ProGAN/deployment`
2. Repeat steps 4-6 from **Build the image similarity API container** but update the container name and dockerfile name

Expand All@@ -71,11 +71,11 @@ These steps will walk through how to use ASK to deploy the Flask APIs.
## Install Azure CLI and kubectl & Deploy your AKS Cluster
1. [install the Azure CLI](https://docs.microsoft.com/en-us/cli/azure/install-azure-cli?view=azure-cli-latest). The Azure CLI is a command-line tool for managing Azure resources. 

1. Create a resource group for your AKS cluster
2. Create a resource group for your AKS cluster
 ```bash
 az group create --name myResourceGroup --location eastus
 ```
1. Create your AKS cluster
3. Create your AKS cluster
 ```bash
 az aks create \
 --resource-group myResourceGroup \
Expand All@@ -84,17 +84,17 @@ These steps will walk through how to use ASK to deploy the Flask APIs.
 --enable-addons monitoring \
 --generate-ssh-keys
 ```
1. Connect to the Kubernetes cluster from your local computer with [kubectl](https://kubernetes.io/docs/reference/kubectl/kubectl/), the Kubernetes command-line client. If you're using the Azure Cloud Shell, `kubectl` is already installed. To install it locally, use the [az aks install-cli](https://docs.microsoft.com/cli/azure/aks#az-aks-install-cli) command:
4. Connect to the Kubernetes cluster from your local computer with [kubectl](https://kubernetes.io/docs/reference/kubectl/kubectl/), the Kubernetes command-line client. If you're using the Azure Cloud Shell, `kubectl` is already installed. To install it locally, use the [az aks install-cli](https://docs.microsoft.com/cli/azure/aks#az-aks-install-cli) command:
 ```bash
 az aks install-cli
 ```

1. Connect to the cluster using kubectl. To do this configure `kubectl` to connect to your AKS cluster with the [az aks get-credentials](https://docs.microsoft.com/cli/azure/aks#az-aks-get-credentials) command:
5. Connect to the cluster using kubectl. To do this configure `kubectl` to connect to your AKS cluster with the [az aks get-credentials](https://docs.microsoft.com/cli/azure/aks#az-aks-get-credentials) command:
 ```bash
 az aks get-credentials --resource-group myResourceGroup --name myAKSCluster
 ```

1. Verify your connection with the [kubectl get nodes](https://kubernetes.io/docs/reference/generated/kubectl/kubectl-commands#get) command:
6. Verify your connection with the [kubectl get nodes](https://kubernetes.io/docs/reference/generated/kubectl/kubectl-commands#get) command:
@mhamilton723Mark Hamilton (mhamilton723)Mar 4, 2019

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Choose a reason for hiding this comment

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These should be autopopulated if you use 1. so i think you can remove these
 ```bash
 $ kubectl get nodes

Expand All@@ -117,4 +117,4 @@ These steps will walk through how to use ASK to deploy the Flask APIs.

 ```
 az aks browse -g myResourceGroup -n myAKSCluster
 ```
 ```

, 'i');
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var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',
'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',
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copyedits by metasj · Pull Request #7 · microsoft/GenStudio · GitHub
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api/README.md

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Original file line numberDiff line numberDiff line change
Expand Up@@ -20,12 +20,12 @@ Follow these steps to build your own image similarity model.
 - **failed.pkl**: list of the index in targets of any images we failed to featurize.
 - **total_i.pkl**: decimal count of the total number of images analyzed
 - Shutdown and close the `Featurize Images.ipynb` notebook. 
7. Next, we build a nearest neighbors model using the vector for each image you created in the previous step. This model will be used to search for the closest visually similar image.
3. Next, we build a nearest neighbors model using the vector for each image you created in the previous step. This model will be used to search for the closest visually similar image.
 - Open the `Build Nearest Neighbors.ipynb` notebook
 - Under the **Define Constants** cell, define the file path where the annoy model will be saved & path to the featurized images.
 - Run the remaining cells. These cells will build, train and save the annoy index. 

 ### You have now built your nearest neighbors index!
 ### You have now built your nearest neighbors index!

# Build the Docker Containers

Expand DownExpand Up@@ -55,12 +55,12 @@ Follow these steps to create a gpu enabled docker container for an image similar
 ```

## Build the BigGAN API container
Follow these steps to build your own API which generates images from proGAN.
Follow these steps to build your own API which generates images from BigGAN.
1. Navigate to `api/BigGAN/deployment`
2. Repeat steps 4-6 from **Build the image similarity API container** but update the container name and dockerfile name

## Build the ProGAN API container
Follow these steps to build your own API which generates images from proGAN.
Follow these steps to build your own API which generates images from ProGAN.
1. Navigate to `api/ProGAN/deployment`
2. Repeat steps 4-6 from **Build the image similarity API container** but update the container name and dockerfile name

Expand All@@ -71,11 +71,11 @@ These steps will walk through how to use ASK to deploy the Flask APIs.
## Install Azure CLI and kubectl & Deploy your AKS Cluster
1. [install the Azure CLI](https://docs.microsoft.com/en-us/cli/azure/install-azure-cli?view=azure-cli-latest). The Azure CLI is a command-line tool for managing Azure resources. 

1. Create a resource group for your AKS cluster
2. Create a resource group for your AKS cluster
 ```bash
 az group create --name myResourceGroup --location eastus
 ```
1. Create your AKS cluster
3. Create your AKS cluster
 ```bash
 az aks create \
 --resource-group myResourceGroup \
Expand All@@ -84,17 +84,17 @@ These steps will walk through how to use ASK to deploy the Flask APIs.
 --enable-addons monitoring \
 --generate-ssh-keys
 ```
1. Connect to the Kubernetes cluster from your local computer with [kubectl](https://kubernetes.io/docs/reference/kubectl/kubectl/), the Kubernetes command-line client. If you're using the Azure Cloud Shell, `kubectl` is already installed. To install it locally, use the [az aks install-cli](https://docs.microsoft.com/cli/azure/aks#az-aks-install-cli) command:
4. Connect to the Kubernetes cluster from your local computer with [kubectl](https://kubernetes.io/docs/reference/kubectl/kubectl/), the Kubernetes command-line client. If you're using the Azure Cloud Shell, `kubectl` is already installed. To install it locally, use the [az aks install-cli](https://docs.microsoft.com/cli/azure/aks#az-aks-install-cli) command:
 ```bash
 az aks install-cli
 ```

1. Connect to the cluster using kubectl. To do this configure `kubectl` to connect to your AKS cluster with the [az aks get-credentials](https://docs.microsoft.com/cli/azure/aks#az-aks-get-credentials) command:
5. Connect to the cluster using kubectl. To do this configure `kubectl` to connect to your AKS cluster with the [az aks get-credentials](https://docs.microsoft.com/cli/azure/aks#az-aks-get-credentials) command:
 ```bash
 az aks get-credentials --resource-group myResourceGroup --name myAKSCluster
 ```

1. Verify your connection with the [kubectl get nodes](https://kubernetes.io/docs/reference/generated/kubectl/kubectl-commands#get) command:
6. Verify your connection with the [kubectl get nodes](https://kubernetes.io/docs/reference/generated/kubectl/kubectl-commands#get) command:
@mhamilton723Mark Hamilton (mhamilton723)Mar 4, 2019

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These should be autopopulated if you use 1. so i think you can remove these
 ```bash
 $ kubectl get nodes

Expand All@@ -117,4 +117,4 @@ These steps will walk through how to use ASK to deploy the Flask APIs.

 ```
 az aks browse -g myResourceGroup -n myAKSCluster
 ```
 ```

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var __m = "*";
var __re = new RegExp('^' + ".*" + '
copyedits by metasj · Pull Request #7 · microsoft/GenStudio · GitHub
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api/README.md

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Original file line numberDiff line numberDiff line change
Expand Up@@ -20,12 +20,12 @@ Follow these steps to build your own image similarity model.
 - **failed.pkl**: list of the index in targets of any images we failed to featurize.
 - **total_i.pkl**: decimal count of the total number of images analyzed
 - Shutdown and close the `Featurize Images.ipynb` notebook. 
7. Next, we build a nearest neighbors model using the vector for each image you created in the previous step. This model will be used to search for the closest visually similar image.
3. Next, we build a nearest neighbors model using the vector for each image you created in the previous step. This model will be used to search for the closest visually similar image.
 - Open the `Build Nearest Neighbors.ipynb` notebook
 - Under the **Define Constants** cell, define the file path where the annoy model will be saved & path to the featurized images.
 - Run the remaining cells. These cells will build, train and save the annoy index. 

 ### You have now built your nearest neighbors index!
 ### You have now built your nearest neighbors index!

# Build the Docker Containers

Expand DownExpand Up@@ -55,12 +55,12 @@ Follow these steps to create a gpu enabled docker container for an image similar
 ```

## Build the BigGAN API container
Follow these steps to build your own API which generates images from proGAN.
Follow these steps to build your own API which generates images from BigGAN.
1. Navigate to `api/BigGAN/deployment`
2. Repeat steps 4-6 from **Build the image similarity API container** but update the container name and dockerfile name

## Build the ProGAN API container
Follow these steps to build your own API which generates images from proGAN.
Follow these steps to build your own API which generates images from ProGAN.
1. Navigate to `api/ProGAN/deployment`
2. Repeat steps 4-6 from **Build the image similarity API container** but update the container name and dockerfile name

Expand All@@ -71,11 +71,11 @@ These steps will walk through how to use ASK to deploy the Flask APIs.
## Install Azure CLI and kubectl & Deploy your AKS Cluster
1. [install the Azure CLI](https://docs.microsoft.com/en-us/cli/azure/install-azure-cli?view=azure-cli-latest). The Azure CLI is a command-line tool for managing Azure resources. 

1. Create a resource group for your AKS cluster
2. Create a resource group for your AKS cluster
 ```bash
 az group create --name myResourceGroup --location eastus
 ```
1. Create your AKS cluster
3. Create your AKS cluster
 ```bash
 az aks create \
 --resource-group myResourceGroup \
Expand All@@ -84,17 +84,17 @@ These steps will walk through how to use ASK to deploy the Flask APIs.
 --enable-addons monitoring \
 --generate-ssh-keys
 ```
1. Connect to the Kubernetes cluster from your local computer with [kubectl](https://kubernetes.io/docs/reference/kubectl/kubectl/), the Kubernetes command-line client. If you're using the Azure Cloud Shell, `kubectl` is already installed. To install it locally, use the [az aks install-cli](https://docs.microsoft.com/cli/azure/aks#az-aks-install-cli) command:
4. Connect to the Kubernetes cluster from your local computer with [kubectl](https://kubernetes.io/docs/reference/kubectl/kubectl/), the Kubernetes command-line client. If you're using the Azure Cloud Shell, `kubectl` is already installed. To install it locally, use the [az aks install-cli](https://docs.microsoft.com/cli/azure/aks#az-aks-install-cli) command:
 ```bash
 az aks install-cli
 ```

1. Connect to the cluster using kubectl. To do this configure `kubectl` to connect to your AKS cluster with the [az aks get-credentials](https://docs.microsoft.com/cli/azure/aks#az-aks-get-credentials) command:
5. Connect to the cluster using kubectl. To do this configure `kubectl` to connect to your AKS cluster with the [az aks get-credentials](https://docs.microsoft.com/cli/azure/aks#az-aks-get-credentials) command:
 ```bash
 az aks get-credentials --resource-group myResourceGroup --name myAKSCluster
 ```

1. Verify your connection with the [kubectl get nodes](https://kubernetes.io/docs/reference/generated/kubectl/kubectl-commands#get) command:
6. Verify your connection with the [kubectl get nodes](https://kubernetes.io/docs/reference/generated/kubectl/kubectl-commands#get) command:
@mhamilton723Mark Hamilton (mhamilton723)Mar 4, 2019

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These should be autopopulated if you use 1. so i think you can remove these
 ```bash
 $ kubectl get nodes

Expand All@@ -117,4 +117,4 @@ These steps will walk through how to use ASK to deploy the Flask APIs.

 ```
 az aks browse -g myResourceGroup -n myAKSCluster
 ```
 ```

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Remove or un-stick sticky/fixed headers that block content
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document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) {
if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {
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copyedits by metasj · Pull Request #7 · microsoft/GenStudio · GitHub
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copyedits#7
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api/README.md

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Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -20,12 +20,12 @@ Follow these steps to build your own image similarity model.
 - **failed.pkl**: list of the index in targets of any images we failed to featurize.
 - **total_i.pkl**: decimal count of the total number of images analyzed
 - Shutdown and close the `Featurize Images.ipynb` notebook. 
7. Next, we build a nearest neighbors model using the vector for each image you created in the previous step. This model will be used to search for the closest visually similar image.
3. Next, we build a nearest neighbors model using the vector for each image you created in the previous step. This model will be used to search for the closest visually similar image.
 - Open the `Build Nearest Neighbors.ipynb` notebook
 - Under the **Define Constants** cell, define the file path where the annoy model will be saved & path to the featurized images.
 - Run the remaining cells. These cells will build, train and save the annoy index. 

 ### You have now built your nearest neighbors index!
 ### You have now built your nearest neighbors index!

# Build the Docker Containers

Expand DownExpand Up@@ -55,12 +55,12 @@ Follow these steps to create a gpu enabled docker container for an image similar
 ```

## Build the BigGAN API container
Follow these steps to build your own API which generates images from proGAN.
Follow these steps to build your own API which generates images from BigGAN.
1. Navigate to `api/BigGAN/deployment`
2. Repeat steps 4-6 from **Build the image similarity API container** but update the container name and dockerfile name

## Build the ProGAN API container
Follow these steps to build your own API which generates images from proGAN.
Follow these steps to build your own API which generates images from ProGAN.
1. Navigate to `api/ProGAN/deployment`
2. Repeat steps 4-6 from **Build the image similarity API container** but update the container name and dockerfile name

Expand All@@ -71,11 +71,11 @@ These steps will walk through how to use ASK to deploy the Flask APIs.
## Install Azure CLI and kubectl & Deploy your AKS Cluster
1. [install the Azure CLI](https://docs.microsoft.com/en-us/cli/azure/install-azure-cli?view=azure-cli-latest). The Azure CLI is a command-line tool for managing Azure resources. 

1. Create a resource group for your AKS cluster
2. Create a resource group for your AKS cluster
 ```bash
 az group create --name myResourceGroup --location eastus
 ```
1. Create your AKS cluster
3. Create your AKS cluster
 ```bash
 az aks create \
 --resource-group myResourceGroup \
Expand All@@ -84,17 +84,17 @@ These steps will walk through how to use ASK to deploy the Flask APIs.
 --enable-addons monitoring \
 --generate-ssh-keys
 ```
1. Connect to the Kubernetes cluster from your local computer with [kubectl](https://kubernetes.io/docs/reference/kubectl/kubectl/), the Kubernetes command-line client. If you're using the Azure Cloud Shell, `kubectl` is already installed. To install it locally, use the [az aks install-cli](https://docs.microsoft.com/cli/azure/aks#az-aks-install-cli) command:
4. Connect to the Kubernetes cluster from your local computer with [kubectl](https://kubernetes.io/docs/reference/kubectl/kubectl/), the Kubernetes command-line client. If you're using the Azure Cloud Shell, `kubectl` is already installed. To install it locally, use the [az aks install-cli](https://docs.microsoft.com/cli/azure/aks#az-aks-install-cli) command:
 ```bash
 az aks install-cli
 ```

1. Connect to the cluster using kubectl. To do this configure `kubectl` to connect to your AKS cluster with the [az aks get-credentials](https://docs.microsoft.com/cli/azure/aks#az-aks-get-credentials) command:
5. Connect to the cluster using kubectl. To do this configure `kubectl` to connect to your AKS cluster with the [az aks get-credentials](https://docs.microsoft.com/cli/azure/aks#az-aks-get-credentials) command:
 ```bash
 az aks get-credentials --resource-group myResourceGroup --name myAKSCluster
 ```

1. Verify your connection with the [kubectl get nodes](https://kubernetes.io/docs/reference/generated/kubectl/kubectl-commands#get) command:
6. Verify your connection with the [kubectl get nodes](https://kubernetes.io/docs/reference/generated/kubectl/kubectl-commands#get) command:
@mhamilton723Mark Hamilton (mhamilton723)Mar 4, 2019

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These should be autopopulated if you use 1. so i think you can remove these
 ```bash
 $ kubectl get nodes

Expand All@@ -117,4 +117,4 @@ These steps will walk through how to use ASK to deploy the Flask APIs.

 ```
 az aks browse -g myResourceGroup -n myAKSCluster
 ```
 ```

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Universal Dark Mode - works on any site
(function() {
var enabled = true;
function applyDarkMode() {
if (!enabled) return;
// Create style element if it doesn't exist
var style = document.getElementById('universal-dark-mode-style');
if (!style) {
style = document.createElement('style');
style.id = 'universal-dark-mode-style';
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if (enabled && !document.getElementById('universal-dark-mode-style')) {
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console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');
})();
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();
copyedits by metasj · Pull Request #7 · microsoft/GenStudio · GitHub
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20 changes: 10 additions & 10 deletions
api/README.md

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -20,12 +20,12 @@ Follow these steps to build your own image similarity model.
 - **failed.pkl**: list of the index in targets of any images we failed to featurize.
 - **total_i.pkl**: decimal count of the total number of images analyzed
 - Shutdown and close the `Featurize Images.ipynb` notebook. 
7. Next, we build a nearest neighbors model using the vector for each image you created in the previous step. This model will be used to search for the closest visually similar image.
3. Next, we build a nearest neighbors model using the vector for each image you created in the previous step. This model will be used to search for the closest visually similar image.
 - Open the `Build Nearest Neighbors.ipynb` notebook
 - Under the **Define Constants** cell, define the file path where the annoy model will be saved & path to the featurized images.
 - Run the remaining cells. These cells will build, train and save the annoy index. 

 ### You have now built your nearest neighbors index!
 ### You have now built your nearest neighbors index!

# Build the Docker Containers

Expand DownExpand Up@@ -55,12 +55,12 @@ Follow these steps to create a gpu enabled docker container for an image similar
 ```

## Build the BigGAN API container
Follow these steps to build your own API which generates images from proGAN.
Follow these steps to build your own API which generates images from BigGAN.
1. Navigate to `api/BigGAN/deployment`
2. Repeat steps 4-6 from **Build the image similarity API container** but update the container name and dockerfile name

## Build the ProGAN API container
Follow these steps to build your own API which generates images from proGAN.
Follow these steps to build your own API which generates images from ProGAN.
1. Navigate to `api/ProGAN/deployment`
2. Repeat steps 4-6 from **Build the image similarity API container** but update the container name and dockerfile name

Expand All@@ -71,11 +71,11 @@ These steps will walk through how to use ASK to deploy the Flask APIs.
## Install Azure CLI and kubectl & Deploy your AKS Cluster
1. [install the Azure CLI](https://docs.microsoft.com/en-us/cli/azure/install-azure-cli?view=azure-cli-latest). The Azure CLI is a command-line tool for managing Azure resources. 

1. Create a resource group for your AKS cluster
2. Create a resource group for your AKS cluster
 ```bash
 az group create --name myResourceGroup --location eastus
 ```
1. Create your AKS cluster
3. Create your AKS cluster
 ```bash
 az aks create \
 --resource-group myResourceGroup \
Expand All@@ -84,17 +84,17 @@ These steps will walk through how to use ASK to deploy the Flask APIs.
 --enable-addons monitoring \
 --generate-ssh-keys
 ```
1. Connect to the Kubernetes cluster from your local computer with [kubectl](https://kubernetes.io/docs/reference/kubectl/kubectl/), the Kubernetes command-line client. If you're using the Azure Cloud Shell, `kubectl` is already installed. To install it locally, use the [az aks install-cli](https://docs.microsoft.com/cli/azure/aks#az-aks-install-cli) command:
4. Connect to the Kubernetes cluster from your local computer with [kubectl](https://kubernetes.io/docs/reference/kubectl/kubectl/), the Kubernetes command-line client. If you're using the Azure Cloud Shell, `kubectl` is already installed. To install it locally, use the [az aks install-cli](https://docs.microsoft.com/cli/azure/aks#az-aks-install-cli) command:
 ```bash
 az aks install-cli
 ```

1. Connect to the cluster using kubectl. To do this configure `kubectl` to connect to your AKS cluster with the [az aks get-credentials](https://docs.microsoft.com/cli/azure/aks#az-aks-get-credentials) command:
5. Connect to the cluster using kubectl. To do this configure `kubectl` to connect to your AKS cluster with the [az aks get-credentials](https://docs.microsoft.com/cli/azure/aks#az-aks-get-credentials) command:
 ```bash
 az aks get-credentials --resource-group myResourceGroup --name myAKSCluster
 ```

1. Verify your connection with the [kubectl get nodes](https://kubernetes.io/docs/reference/generated/kubectl/kubectl-commands#get) command:
6. Verify your connection with the [kubectl get nodes](https://kubernetes.io/docs/reference/generated/kubectl/kubectl-commands#get) command:
@mhamilton723Mark Hamilton (mhamilton723)Mar 4, 2019

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These should be autopopulated if you use 1. so i think you can remove these
 ```bash
 $ kubectl get nodes

Expand All@@ -117,4 +117,4 @@ These steps will walk through how to use ASK to deploy the Flask APIs.

 ```
 az aks browse -g myResourceGroup -n myAKSCluster
 ```
 ```