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* First prep-work for client AND server-side ImageDetectorPlugins * Callback for image detector plugins added * Callback logic now manages to correctly identify client and server * Enabling Docker Support (#5) * Initial dockerfile version * Bugfixes around unit-testing for move to REQ/REP pattern and addtl logging * Further bugfixes w/ detection threshold, new default warning files * docker-compose * Various Docker updates of unknown origins ¯\_(ツ)_/¯ * Audio plugin working w/ docker * Changelog update * Version 0.5.1 - Pillow vulnerability fixed
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@@ -1,4 +1,4 @@ | ||
Pillow==7.1.2 | ||
Pillow==8.1.1 | ||
lxml==4.6.2 | ||
matplotlib==3.1.2 | ||
opencv-python==4.1.2.30 | ||
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@@ -1,5 +1,5 @@ | ||
tensorflow>="2.*" | ||
Pillow==7.1.2 | ||
Pillow==8.1.1 | ||
lxml==4.4.2 | ||
matplotlib==3.1.2 | ||
opencv-python==4.1.2.30 | ||
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@@ -28,7 +28,7 @@ def run(self): | |
setuptools.setup( | ||
cmdclass={'install': ShellInstall}, | ||
name="scarecrow-cam", | ||
version="0.5.0", | ||
version="0.5.1", | ||
author="Christian Hollinger", | ||
author_email="[email protected]", | ||
description="A Raspberry Pi powered edge-computing camera setups that runs a Tensorflow object detection model to determine whether a person is on the camera and plays loud audio to scare them off.", | ||
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