Releases: videoflow/videoflow
Releases · videoflow/videoflow
Multiprocessing bug fix
BUG FIXES:
- Fixes bug that causes multiprocessing task to not finish under certain special circumstances.
- Fixes bug that causes certain flows to allocate memory in the GPU even if cpu was selected for usage.
NEW FEATURES:
- Added a simple webhook consumer.
v0.2.8
Bug Fixes:
- Fixes bug that can cause flow to not terminate when using multi-task nodes.
Improvements:
- Fixes errors in documentation.
- Removes dependency from scikit-learn
v0.2.5
Bug fixes
- Fixes bug when doing multiprocessing in gpu allocated processors.
v0.2.4
New Features
- Detection of bottlenecks
- Improved logging of bottlenecks
pose
Pose and multipose models
Segmentation
Models released:
- maskrcnn-resnet101_coco, 470 ms per image, 33 COCO mAP
- maskrcnn-inceptionv2_coco, 79 ms per image, 25 COCO mAP
v0.2.2
Bug Fixes
- Added missing files to the
detection
release, and updated source code accordingly.
New Functionality
- Added producers:
VideoUrlReader
and VideoDeviceReader
.
v0.2.0
NEW FUNCTIONALITIES:
- Ability to allocate a node to multiple processes
- Flow now stops in a natural way when stopped.
BREAKING CHANGES:
- videoflow.producers.VideoFileReader now returns a tuple of (idx, frame). Before it only returned the frame.
v0.1.7
Improvements
- Changed default device_type from 'cpu' to 'gpu' in TensorflowObjectDetector.