Switch keyboard input language (if you have added at least a second one) Share content (if supported by current app)Ĭonnect to wireless displays and audio devices If you use Windows + afterward, the current window will be placed in the upper left quarter of your screen.And, what’s very handy in my opinion: If you release the Windows key after positioning a window, Task View shows up on the opposite side of the positioned window to select and position another app. Windows + moves the current window to the left half of your screen. Search the web and Windows with Cortana (keyboard input) Search the web and Windows with Cortana (speech) Press Windows key + X or right-click Start
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Meanwhile, the starter cleaning could require an SOP, such as: clean the banking floor first before cleaning the other offices. Some organizations have repetitive tasks that spring up daily, weekly, or monthly but do not need an SOP.Īn example is a task as simple as the routine cleaning on the banking floor, which could be the following: wipe off the dirt once the customer steps away (no need for an SOP). The truth is that you’d have spent resources creating an SOP only to realize that there isn’t a need for it in the first place. 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The transcoding sample shown above is enough to saturate Nvenc unit on an RTX 5000 GPU as illustrated below:īig Buck Bunny sequence contains 14,315 frames and can be transcoded within 32 seconds which gives ~447fps without using any advanced techniques such as producer-consumer pattern with decoded frames queue being shared by decoder and encoder launched in separate threads. # Encoder is asynchronous, so we need to flush itĭespite a simple design, VPF demonstrates good performance. # Decoder will return zero surface if input file is over ĮncFrame = nvEnc.EncodeSingleSurface(rawSurface) To illustrate the ease of use, let’s start with a quick code snippet which shows how to do fully hardware-accelerated video transcoding on a GPU without raw frames copying between Host and Device:ĮncFile = "big_buck_bunny_1080p_h264.mov" VPF exports C++ video processing classes into PyNvCodec Python module. It relies on FFmpeg library for (de)muxing and pybind11 project for building Python bindings. VPF is a CMake-based open source cross-platform software released under Apache 2 license. VPF is a set of C++ libraries and Python bindings which provides full hardware acceleration for video processing tasks such as decoding, encoding, transcoding and GPU-accelerated color space and pixel format conversions. VPF utilizes the NVIDIA Video Codec SDK for flexibility and performance, and provides developers with the ease-of-use inherent to Python. However, hardware accelerated video features might be useful for a broader audience, and the intent of VPF (Video Processing Framework) is a simple, yet powerful tool for utilizing NVIDIA GPUs when working with video using Python. Another option is to use third party libraries and applications like FFmpeg or GStreamer which again require C/C++ expertise to be built-in and customized per user. While showing great performance and flexibility, it requires knowledge of C/C++. Support for accelerated hardware video encoding began with the Kepler generation of NVIDIA GPUs, and all GPUs since the Fermi generation support hardware video acceleration decoding through the NVIDIA Video Codec SDK. |