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Andrey Zhavoronkov e7808cfb03 Data streaming using chunks (#1007) ... Huge feature (200+ commits from different developers). It completely changes layout of data (please expect very long DB migration process if you have a lot of tasks). The primary idea is to send data as zip chunks (e.g. 36 images in one chunk) or encoded video chunks and decode them on the client side. It helps to solve the problem with latency when you try to view a separate frame in the UI quickly (play mode). Another important feature of the patch is to provide access to the original images. Thus for annotations the client uses compressed chunks but if you want to export a dataset Datumaro will use original chunks (but video will be decoded with original quality and encoded with maximum/optimal quality in any case).		6 years ago
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__init__.py	[Datumaro] MOT format (#1289)	6 years ago
annotation_tools.py	Replace mask format support with Datumaro (#1163)	6 years ago
command_targets.py	[Datumaro] Pip installation (#881)	6 years ago
image.py	[Datumaro] Add masks to tfrecord format (#1156)	6 years ago
image_cache.py	[Datumaro] Added tf detection api tfrecord import and export (#894)	6 years ago
log_utils.py	[Datumaro] Dataset format auto detection (#1242)	6 years ago
mask_tools.py	[Datumaro] LabelMe format (#1293)	6 years ago
test_utils.py	Replace mask format support with Datumaro (#1163)	6 years ago
tf_util.py	Data streaming using chunks (#1007)	6 years ago