WebAbstract class of storage backends. All backends need to implement two apis: get () and get_text () . get () reads the file as a byte stream and get_text () reads the file as texts. class mmcv.fileio.FileClient(backend='disk', **kwargs) [source] ¶. A general file client to access files in different backend. Webimgviz.label2rgb(label, image=None, alpha=0.5, label_names=None, font_size=30, thresh_suppress=0, colormap=None, loc='rb', font_path=None) [source] ¶. Convert label …
mmcv.visualization.optflow — mmcv 1.7.1 documentation
Webmmcv.visualization.flow2rgb¶ mmcv.visualization. flow2rgb (flow: numpy.ndarray, color_wheel: Optional [numpy.ndarray] = None, unknown_thr: float = 1000000.0) → … Webdef flow2rgb (flow, color_wheel = None, unknown_thr = 1e6): """Convert flow map to RGB image. Args: flow (ndarray): Array of optical flow. color_wheel (ndarray or None): Color wheel used to map flow field to RGB colorspace. field safety caltrans
Python flow2rgb Examples, utils.flow2rgb.flow2rgb Python …
Webvideo¶ class cvbase.video.VideoReader (filename, cache_capacity=10) [source] ¶. Video class with similar usage to a list object. This video warpper class provides convenient apis to access frames. There exists an issue of OpenCV’s VideoCapture class that jumping to a certain frame may be inaccurate. Webgenerative model Flow2rgb to generate pixel-level future frames. Such a model is non-trivial and is demonstrated to be e ective in keeping the generated se-quence staying close to the manifold of real sequences (Figure5). Overall, we formulate the multi-frame prediction task as a multiple time step ow predic-tion phase followed by a Webmmcv.visualization.flow2rgb. Convert flow map to RGB image. flow ( ndarray) – Array of optical flow. color_wheel ( ndarray or None) – Color wheel used to map flow field to RGB colorspace. Default color wheel will be used if not specified. unknown_thr ( float) – Values above this threshold will be marked as unknown and thus ignored. field safety coordinator