Multi_plots(img_list, title_list, shape[, ...])
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add_colorbar(mappable[, position, size])
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Example: |
compare_video_frames(vid_list, ...[, ...])
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display_rgb_vid(video, fps[, title])
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video is a numpy array of shape [nb_frames, 3, nx, ny] |
display_vid(video, fps[, title, colormap])
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video is a numpy array of shape [nb_frames, 1, nx, ny] |
fitPlots(N[, aspect])
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histogram(s)
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imagecomp(Img1, Img2[, suptitle, title1, ...])
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imagepanel(Img1, Img2, Img3, Img4[, ...])
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imagesc(Img[, title, colormap, show, ...])
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imagesc(IMG) Display image Img with scaled colors with greyscale colormap and colorbar imagesc(IMG, title=ttl) Display image Img with scaled colors with greyscale colormap and colorbar, with the title ttl imagesc(IMG, title=ttl, colormap=cmap) Display image Img with scaled colors with colormap and colorbar specified by cmap (choose between 'plasma', 'jet', and 'grey'), with the title ttl |
noaxis(axs)
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plot(x, y[, title, xlabel, ylabel, color])
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pre_process_video(video, crop_patch, kernel_size)
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print_mean_std(x[, tag, prec])
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string_mean_std(x[, prec])
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torch2numpy(torch_tensor)
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uint8(dsp)
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vid2batch(root, img_dim, start_frame, end_frame)
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