a3ff917fc04ae0199b051b1d0cc2f75c3700191a,deeplabcut/utils/visualization.py,,make_labeled_images_from_dataframe,#Any#Any#Any#Any#Any#Any#Any#Any#,195

Before Change

        scat = ax.scatter(
            [], [], s=cfg["dotsize"], alpha=cfg["alphavalue"], marker=keypoint
        )
        scat.set_color(colors)
        coll = LineCollection([], colors=cfg["skeleton_color"], alpha=cfg["alphavalue"])
        ax.add_collection(coll)
        for i in trange(len(ic)):
            filename = ic.files[i]

After Change

    segs = xy[:, ind_bones].swapaxes(1, 2)

    s = cfg["dotsize"]
    alpha = cfg["alphavalue"]
    if all_same_shape:  // Very efficient, avoid re-drawing the whole plot
        fig, ax = prepare_figure_axes(w, h, scale, dpi)
        im = ax.imshow(np.zeros((h, w)), "gray")
        pts = [ax.plot([], [], keypoint, ms=s, alpha=alpha, color=c)[0] for c in colors]
        coll = LineCollection([], colors=cfg["skeleton_color"], alpha=alpha)
        ax.add_collection(coll)
        for i in trange(len(ic)):
            filename = ic.files[i]
            ind = images_list.index(filename)
            coords = xy[ind]
            im.set_data(color.gray2rgb(ic[i]))
            for pt, coord in zip(pts, coords):
                pt.set_data(*coord)
            if ind_bones:
                coll.set_segments(segs[ind])
            imagename = os.path.basename(filename)
            fig.subplots_adjust(left=0, bottom=0, right=1, top=1, wspace=0, hspace=0)

Instances