Visualization — mmcv 2.2.0 documentation (original) (raw)

• Docs >
• Visualization
• 以中文阅读

Shortcuts

mmcv can show images and annotations (currently supported types include bounding boxes).

show an image file

mmcv.imshow('a.jpg')

show a loaded image

img = np.random.rand(100, 100, 3) mmcv.imshow(img)

show image with bounding boxes

img = np.random.rand(100, 100, 3) bboxes = np.array([[0, 0, 50, 50], [20, 20, 60, 60]]) mmcv.imshow_bboxes(img, bboxes)

mmcv can also visualize special images such as optical flows.

flow = mmcv.flowread('test.flo') mmcv.flowshow(flow)

• Visualization