Visualization Tools¶
Visualize dataset¶
You can use tools/analysis_tools/browse_dataset.py
to visualize video datasets:
python tools/analysis_tools/browse_dataset.py ${CONFIG_FILE} [ARGS]
ARGS | Description |
---|---|
CONFIG_FILE |
The path to the config file. |
--output-dir OUTPUT_DIR |
If there is no display interface, you can save the visualization results to OUTPUT_DIR . Defaults to None |
--show-frames |
Display the frames of the video if you have the display interface. Defaults to False. |
--phase PHASE |
Phase of the dataset to visualize, accept train , test and val . Defaults to train . |
--show-number SHOW_NUMBER |
Number of images selected to visualize, must bigger than 0. Jf the number is bigger than length of dataset, show all the images in dataset. Defaults to "sys.maxsize", show all images in dataset |
--show-interval SHOW_INTERVAL |
The interval of show (s). Defaults to 2. |
--mode MODE |
Display mode: display original videos or transformed videos. original means show videos load from disk while transformed means to show videos after transformed. Defaults to transformed . |
--cfg-options CFG_OPTIONS |
Override some settings in the used config, the key-value pair in xxx=yyy format will be merged into the config file. If the value to be overwritten is a list, it should be of the form of either key="[a,b]" or key=a,b . The argument also allows nested list/tuple values, e.g. key="[(a,b),(c,d)]" . Note that the quotation marks are necessary and that no white space is allowed. |