


Reads the next video frame and motion vectors from the stream, but does not yet decode it. True if video file or url could be opened successfully, false otherwise. Or "rtsp://:554" for an IP camera streaming via RTSP.

Example "vid.flv" for a video file located in the same directory as the source files. Relative or fully specified file path or an url specifying the location of the video stream. Otherwise, undesired behaviour is likely. Reads the next video frame and motion vectors from the streamĭecodes and returns the grabbed frame and motion vectorsĬonvenience function which combines a call of grab() and retrieve().Ĭlose a video file or url and release all ressourcesĬonstructor. Using the Python API is the recommended way of using the H.264 Motion Vector Capture class. This module provides a Python API which is very similar to that of OpenCV VideoCapture. Sudo docker run -it -ipc=host -env="DISPLAY" -v $(pwd):/home/video_cap -v /tmp/.X11-unix:/tmp/.X11-unix:rw mv-extractor /bin/bash You can install the motion vector extractor via pip Hence, I gladly welcome any community contributions. However, I do not have the time and resources to do this alone. The mv-extractor seems to be quite popular and I want to improve it. Changed Docker image to manylinux_2_24_x86_64 to prepare for building wheels.Updated demo script with command line arguments for extraction and storing of motion vectors.Provided a script to wrap Docker run command.Updated for compatibility with Python >3.8.The image below shows a video frame with extracted motion vectors overlaid,Ī usage example can be found in extract_mvs.py. These additional features enable further projects, such as fast visual object tracking or synchronization of multiple RTSP streams. (for RTSP streams): UTC wall time of the moment the sender sent out a frame (as opposed to an easily retrievable timestamp for the frame reception).It returns the following values for each frame: This class is a replacement for OpenCV's VideoCapture and can be used to read and decode video frames from a H.264 or MPEG-4 Part 2 encoded video stream/file. This tool extracts frames, motion vectors, frame types and timestamps from H.264 and MPEG-4 Part 2 encoded videos.
