In this repo, we demonstrate that the FVD implementation from StyleGAN-V paper is equivalent to the original one when the videos are already loaded into memory and resized to a necessary resolution. The main difference of our FVD evaluation protocol from the paper is that we strictly specify how data should be processed, clips sampled, etc. The problem with the original implementation is that it does not handle: data processing: in which format videos are being stored (JPG/PNG directories of […]

Code for the paper: All in One: Exploring Unified Video-Language Pre-training Arxiv Install 1. PytorchLighting In this work, we use PytorchLighting for distributed training with mixed precision.Install pytorch and PytorchLighting first. conda create -n allinone python=3.7 source activate allinone conda install pytorch torchvision torchaudio cudatoolkit=10.2 -c pytorch cd [Path_To_This_Code] pip install -r requirements.txt 2. On-the-fly decode To speed up the pre-training, we adopt on-the-fly decode for fast IO.Install ffmpeg and pytorchvideo (for data augmentation) as below.

deepstream python play rtsp h264 n gstreamer python play rtsp h264 and h265 n common=> deepstream_python_apps=>apps n dstest3_pgie_config.txt ： test pgie n deepstream_rtsp_h264.py ：play one rtsp h264 n deepstream_rtsps_h264.py ：play Multiple rtsp h264 n deepstream_videos_h264.py ：play Multiple video h264 n gstreamer_test_h264.py ：play one rtsp h264 n gstreamer_test_h265.py ：play one rtsp h265 n GitHub View Github    

Video Stream is an Advanced Telegram Bot that’s allow you to play Video & Music on Telegram Group Video Chat 📊 Stats 🧪 Get SESSION_NAME from below: Pyrogram 🎭 Preview ✨ Features Music & Video stream support MultiChat support Playlist & Queue support Skip, Pause, Resume, Stop feature Music & Video downloader feature Inline Search support YouTube direct search support YouTube/Local/Live/m3u8 stream support Inline Search support Control With Button support Volume Control Userbot Auto Join Direct Updater 🛠 Commands: Command […]

EssentialMC2 is a complete system to solve video understanding tasks including MHRL(representation learning), MECR2(relation reasoning) and MOSL3(openset life-long learning) powered by DAMO AcademyMinD(Machine IntelligenNce of Damo) Lab. Run pip install essmc2. Run python setup.py install. For each specific task, please refer to task specific README.

About Convert lecture videos to slides in one line. Takes an input of a directory containing your lecture videos and outputs a directory containing .PDF files containing the slides of each lecture. (You can download the videos from Google Drive even if you only have View-Only permissions. Google it) The utility only captures slides when it detects that a slide has changed and does not capture every frame. Thus your pdf will be very close to the actual slides used. […]