refer to: https://stackoverflow.com/questions/39371772/how-to-install-anaconda-on-raspberry-pi-3-model-b
{USER}: pi
Install Miniconda 3:
wget http://repo.continuum.io/miniconda/Miniconda3-latest-Linux-armv7l.sh
sudo md5sum Miniconda3-latest-Linux-armv7l.sh # (optional) check md5
sudo /bin/bash Miniconda3-latest-Linux-armv7l.sh # -> change default directory to /home/pi/miniconda3
| gsutil mb gs://${IV_BUCKET_NAME} | |
| gsutil mb gs://${FILTERED_BUCKET_NAME} | |
| gsutil mb gs://${FLAGGED_BUCKET_NAME} | |
| gsutil mb gs://${STAGING_BUCKET_NAME} | |
| # 檢查一下是否有列出4個Bucket | |
| gsutil ls |
| # 建立4個不同用途的Topics | |
| gcloud pubsub topics create ${UPLOAD_NOTIFICATION_TOPIC} | |
| gcloud pubsub topics create visionapiservice | |
| gcloud pubsub topics create videointelligenceservice | |
| gcloud pubsub topics create bqinsert | |
| # 檢查Topics是否正確被建立 | |
| gcloud pubsub topics list |
| # 取得專案ID | |
| export PROJECT_ID=$(gcloud info --format='value(config.project)') | |
| # Cloud Storage buckets的名稱 | |
| export IV_BUCKET_NAME=${PROJECT_ID}-upload | |
| export FILTERED_BUCKET_NAME=${PROJECT_ID}-filtered | |
| export FLAGGED_BUCKET_NAME=${PROJECT_ID}-flagged | |
| export STAGING_BUCKET_NAME=${PROJECT_ID}-staging | |
| # Cloud Pub/Sub topic環境變數 |
| sed -i "s/\[PROJECT-ID\]/$PROJECT_ID/g" config.json | |
| sed -i "s/\[FLAGGED_BUCKET_NAME\]/$FLAGGED_BUCKET_NAME/g" config.json | |
| sed -i "s/\[FILTERED_BUCKET_NAME\]/$FILTERED_BUCKET_NAME/g" config.json | |
| sed -i "s/\[DATASET_ID\]/$DATASET_ID/g" config.json | |
| sed -i "s/\[TABLE_NAME\]/$TABLE_NAME/g" config.json |
| # 部置GCStoPubsub function | |
| gcloud beta functions deploy GCStoPubsub --stage-bucket gs://${STAGING_BUCKET_NAME} --trigger-topic ${UPLOAD_NOTIFICATION_TOPIC} --entry-point GCStoPubsub --runtime=nodejs6 | |
| # 部置visionAPI function | |
| gcloud beta functions deploy visionAPI --stage-bucket gs://${STAGING_BUCKET_NAME} --trigger-topic visionapiservice --entry-point visionAPI --runtime=nodejs6 | |
| # 部置videoIntelligenceAPI function | |
| gcloud beta functions deploy videoIntelligenceAPI --stage-bucket gs://${STAGING_BUCKET_NAME} --trigger-topic videointelligenceservice --entry-point videoIntelligenceAPI --timeout 540 --runtime=nodejs6 | |
| # 部置insertIntoBigQuery function |
| # 取得專案ID | |
| export PROJECT_ID=$(gcloud info --format='value(config.project)') | |
| # Cloud Storage buckets的名稱，格式為[你的專案ID]-upload | |
| export BUCKET_NAME=${PROJECT_ID}-upload | |
| # 建立Bucket | |
| gsutil mb gs://${BUCKET_NAME} | |
| # 檢查一下Bucket是否成功建立 |
| { | |
| "requests": [ | |
| { | |
| "image": { | |
| "source": { | |
| "gcsImageUri": "gs://[你的bucket名稱]/donuts.png" | |
| } | |
| }, | |
| "features": [ | |
| { |
| { | |
| "requests": [ | |
| { | |
| "image": { | |
| "source": { | |
| "gcsImageUri": "gs://[你的bucket名稱]/donuts.png" | |
| } | |
| }, | |
| "features": [ | |
| { |
| { | |
| "requests": [ | |
| { | |
| "image": { | |
| "source": { | |
| "gcsImageUri": "gs://[你的bucket名稱]/selfie.png" | |
| } | |
| }, | |
| "features": [ | |
| { |