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convert poses before saving them #2

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convert poses before saving them #2

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28 changes: 25 additions & 3 deletions s3_pull.py
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Original file line number Diff line number Diff line change
Expand Up @@ -4,6 +4,8 @@
import re
from backend_tools.aws.s3 import S3Interface
from boto3.dynamodb.conditions import Key
from backend_tools.pose.conversions import convert_legacy_pose_sequence
from backend_tools.pose.post_processing import PosePostProcessor

# set location of credentials file
os.environ["AWS_CONFIG_FILE"] = "./aws_config.ini"
Expand All @@ -13,7 +15,7 @@
DIRECTORY = OUTPUT_DIR
BUCKET = 'smartcoach'
REGION = 'us-east-2'
MAX_DOWNLOAD_COUNT = 5000
MAX_DOWNLOAD_COUNT = 10
FILE_TYPE = ".json"
TABLE_NAME = 'dev-ai-basketball-throw-videos'

Expand Down Expand Up @@ -70,8 +72,28 @@ def download_dir():
# only download s3 .json files if score exists in dynamoDB
print('downloading item', item['Key'])
interface.download_object(BUCKET, item['Key'], OUTPUT_DIR + dirname + '/' + file_name)
except:
print('No .json file available for ' + file_name)

# re load the json, post-process and re-save it
# load the hpe data
with open(OUTPUT_DIR + dirname + '/' + file_name, 'rb') as f:
data = json.load(f)

# remove old file
os.remove(OUTPUT_DIR + dirname + '/' + file_name)

# convert to compatible pose sequence
pose_seq = convert_legacy_pose_sequence(data)

# post process the poses to improve robustness
post_processor = PosePostProcessor()
post_processed = post_processor(pose_seq, use_numpy=False)

# dump the data back to json
with open(OUTPUT_DIR + dirname + '/' + file_name, 'w+') as f:
json.dump(post_processed, f)

except Exception as e:
print(e)

download_count += 1

Expand Down