| 30 | plt.show() |
| 31 | |
| 32 | def plot_max_heatmap(data, shape=None, **kwargs): |
| 33 | if shape is None: |
| 34 | shape = data.shape[2:] |
| 35 | data = data.max(1)[0].cpu().numpy() |
| 36 | vmin = data.min() |
| 37 | vmax = data.max() |
| 38 | width = int(numpy.ceil(numpy.sqrt(data.shape[0]))) |
| 39 | height = int(numpy.ceil(data.shape[0] / float(width))) |
| 40 | kwargs = dict(kwargs) |
| 41 | margin = 0.01 |
| 42 | if 'figsize' not in kwargs: |
| 43 | # Size figure to one display pixel per data pixel |
| 44 | dpi = plt.rcParams['figure.dpi'] |
| 45 | kwargs['figsize'] = ( |
| 46 | width * shape[1] / dpi, height * shape[0] / dpi) |
| 47 | f, axarr = plt.subplots(height, width, **kwargs) |
| 48 | if len(numpy.shape(axarr)) == 0: |
| 49 | axarr = numpy.array([[axarr]]) |
| 50 | if len(numpy.shape(axarr)) == 1: |
| 51 | axarr = axarr[None,:] |
| 52 | for i, im in enumerate(data): |
| 53 | ax = axarr[i // width, i % width] |
| 54 | img = ax.imshow(data[i], vmin=vmin, vmax=vmax, cmap='hot') |
| 55 | ax.axis('off') |
| 56 | for i in range(i, width * height): |
| 57 | ax = axarr[i // width, i % width] |
| 58 | ax.axis('off') |
| 59 | plt.subplots_adjust(wspace=margin, hspace=margin, |
| 60 | left=0, right=1, bottom=0, top=1) |
| 61 | plt.show() |