print 1 pair of 1 sample of salient feature map :param: target_in [B, 3, H, W] :param: rgb_in [B, 3, H, W] :param: features_target [B, C, H, W] :param: features_rgb [B, C, H, W] :param: frame index i of batch
(target_in, rgb_in, features_target, features_rgb, i=0)
| 64 | save_image_saliancy(features_r, './tmp/rgb', True) |
| 65 | |
| 66 | def tmp_plot3(target_in, rgb_in, features_target, features_rgb, i=0): |
| 67 | ''' |
| 68 | print 1 pair of 1 sample of salient feature map |
| 69 | :param: target_in [B, 3, H, W] |
| 70 | :param: rgb_in [B, 3, H, W] |
| 71 | :param: features_target [B, C, H, W] |
| 72 | :param: features_rgb [B, C, H, W] |
| 73 | :param: frame index i of batch |
| 74 | ''' |
| 75 | print("for debug only...") |
| 76 | save_image(target_in[i], './tmp/target_in.png') |
| 77 | save_image(rgb_in[i], './tmp/rgb_in.png') |
| 78 | features_t = features_target[i].clone()[:, None, :, :] |
| 79 | features_r = features_rgb[i].clone()[:, None, :, :] |
| 80 | save_image_saliancy(features_t[0], './tmp/target', True) |
| 81 | save_image_saliancy(features_r[0], './tmp/rgb', True) |
| 82 | |
| 83 | def lognuniform(low=-2, high=0, size=1, base=10): |
| 84 | ''' sample from log uniform distribution between 0.01~1 ''' |
nothing calls this directly
no test coverage detected