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)
Dear OpenI User
Thank you for your continuous support to the Openl Qizhi Community AI Collaboration Platform. In order to protect your usage rights and ensure network security, we updated the Openl Qizhi Community AI Collaboration Platform Usage Agreement in January 2024. The updated agreement specifies that users are prohibited from using intranet penetration tools. After you click "Agree and continue", you can continue to use our services. Thank you for your cooperation and understanding.
For more agreement content, please refer to the《Openl Qizhi Community AI Collaboration Platform Usage Agreement》