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Refactor: Use numpy image cache instead of pillow image

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LmeSzinc
2022-01-23 15:50:15 +08:00
parent 6df7684a37
commit 65f166ad12
51 changed files with 286 additions and 228 deletions
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10
module/statistics/drop_statistics.py
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@@ -144,7 +144,7 @@ if __name__ == '__main__':
# Folder to load templates and save new templates.
# This will load {DROP_FOLDER}/{TEMPLATE_FOLDER}.
# If folder doesn't exist, auto copy from './assets/stats_basic'
DropStatistics.TEMPLATE_FOLDER = 'item_templates'
DropStatistics.TEMPLATE_FOLDER = 'campaign_13_1_template'
# 'cpu' or 'gpu', default to 'cpu'.
# Use 'gpu' for faster prediction, but you must have the gpu version of mxnet installed.
DropStatistics.CNOCR_CONTEXT = 'cpu'
@@ -155,11 +155,11 @@ if __name__ == '__main__':
DropStatistics.CSV_OVERWRITE = True
# Usually to be 'utf-8'.
# For better Chinese export to Excel, use 'gbk'.
DropStatistics.CSV_ENCODING = 'utf-8'
DropStatistics.CSV_ENCODING = 'gbk'
# campaign names to export under DROP_FOLDER.
# This will load {DROP_FOLDER}/{CAMPAIGN}.
# Just a demonstration here, you should modify it to your own.
CAMPAIGNS = ['t1', 't2', 't3', 't4']
CAMPAIGNS = ['campaign_13_1']
stat = DropStatistics()
@@ -184,5 +184,5 @@ if __name__ == '__main__':
After run, comment again.
Results are saved in {DROP_FOLDER}/{CSV_FILE}.
"""
# for i in CAMPAIGNS:
# stat.extract_drop(i)
for i in CAMPAIGNS:
stat.extract_drop(i)