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* Initial work for adding OpenVino detector. Not functional * Load model and submit for inference. Sucessfully load model and initialize OpenVino engine with either CPU or GPU as device. Does not parse results for objects. * Detection working with ssdlite_mobilenetv2 FP16 model * Add OpenVIno support and model to docker image * Add documentation for OpenVino detector configuration * Adds support for ARM32/ARM64 and the Myriad X hardware - Use custom-built openvino wheel for all platforms - Add libusb build without udev for NCS2 support * Add documentation around Intel CPU requirements and NCS2 setup * Print all available output tensors * Update documentation for config parameters
25 lines
961 B
Plaintext
25 lines
961 B
Plaintext
click == 8.1.*
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Flask == 2.2.*
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imutils == 0.5.*
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matplotlib == 3.6.*
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mypy == 0.942
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numpy == 1.22.*
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opencv-python-headless == 4.5.5.*
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paho-mqtt == 1.6.*
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peewee == 3.15.*
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peewee_migrate == 1.4.*
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psutil == 5.9.*
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pydantic == 1.10.*
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PyYAML == 6.0
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types-PyYAML == 6.0.*
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requests == 2.28.*
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types-requests == 2.28.*
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scipy == 1.8.*
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setproctitle == 1.2.*
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ws4py == 0.5.*
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zeroconf == 0.39.4
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# Openvino Library - Custom built with MYRIAD support
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openvino @ https://github.com/NateMeyer/openvino-wheels/releases/download/multi-arch_2022.2.0/openvino-2022.2.0-000-cp39-cp39-manylinux_2_31_x86_64.whl; platform_machine == 'x86_64'
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openvino @ https://github.com/NateMeyer/openvino-wheels/releases/download/multi-arch_2022.2.0/openvino-2022.2.0-000-cp39-cp39-linux_aarch64.whl; platform_machine == 'aarch64'
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openvino @ https://github.com/NateMeyer/openvino-wheels/releases/download/multi-arch_2022.2.0/openvino-2022.2.0-000-cp39-cp39-linux_armv7l.whl; platform_machine == 'armv7l'
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