SDV_agent

Repository for SDV agent

Prerequisite

• S3 BUCKET NAME
• AWS ACCESS KEY ID
• AWS SECRET ACCESS KEY

How to Start Data Upload

1. Save the image files to /SDV_agent/data/images folder for analysis
2. Excute the below

sh start.sh

Data Download API

You can download the uploaded image files by syncronizing a directory of local file system with the directory of S3. The Sync API is implemented in SDV_agent/tango/run_sync.py. Please refer to the examples below.

from run_sync import S3DirSync


sync = S3DirSync(bucket={BUCKET_NAME}, access_key={AWS_ACCESS_KEY_ID}, secret_key={AWS_SECRET_ACCESS_KEY})
sync.start(s3_dir={S3_DIR_NAME}, local_dir={LOCAL_DIR_NAME}, check_period={SYNC_PERIOD_TIME})

You can assign a callback function if the number of the updated files exceeds a threshold.

sync.start(s3_dir={S3_DIR_NAME}, local_dir={LOCAL_DIR_NAME}, check_period={SYNC_PERIOD_TIME}, \
           callback_func={CALLBACK_FUNC}, callback_threshold={CALLBACK_THRESHOLD})

The Sync API ignores the update by the sync initiation. So, the callback function would not be called by the initiation. If you want to call the function by it, use the ignore_update_by_init option as shown below:

sync.start(s3_dir={S3_DIR_NAME}, local_dir={LOCAL_DIR_NAME}, check_period={SYNC_PERIOD_TIME}, ignore_update_by_init=False)