SSD #150
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SSD #150
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hellock
requested changes
Dec 7, 2018
configs/ssd300_coco.py
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| ceil_mode=True, | ||
| out_indices=(3, 4), | ||
| out_feature_indices=(22, 34), | ||
| l2_dim=512, |
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This param can be obtained from previous layers.
mmdet/core/anchor/anchor_target.py
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| @@ -13,7 +13,8 @@ def anchor_target(anchor_list, | |||
| cfg, | |||
| gt_labels_list=None, | |||
| cls_out_channels=1, | |||
| sampling=True): | |||
| sampling=True, | |||
| need_unmap=True): | |||
mmdet/datasets/custom.py
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| # if use extra augmentation | ||
| if extra_aug is not None: | ||
| self.extra_aug = ExtraAugmentation( | ||
| img_norm_cfg.mean, img_norm_cfg.to_rgb, **extra_aug) |
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Set mean, std and to_rgb in config files so that we can initialize it with ExtraAugmentation(**extra_aug)
mmdet/datasets/custom.py
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| # extra augmentation | ||
| if self.extra_aug is not None: | ||
| img, gt_bboxes, gt_labels = self.extra_aug( | ||
| img.astype(np.float32), gt_bboxes, gt_labels) |
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Call img.astype(np.float32) inside aug transforms.
mmdet/datasets/custom.py
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| test_mode=False): | ||
| test_mode=False, | ||
| extra_aug=None, | ||
| keep_ratio_rescale=True): |
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Maybe resize_keep_ratio sounds better.
mmdet/models/backbones/ssd_vgg.py
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| self.n_dims = n_dims | ||
| self.weight = nn.Parameter(torch.Tensor(self.n_dims)) | ||
| self.eps = eps | ||
| constant_init(self, scale) |
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It would be better to initialize weights outside the init method.
| self.anchor_strides = anchor_strides | ||
| for k in range(len(anchor_strides)): | ||
| base_size = min_sizes[k] | ||
| s_k = base_size / 300 |
| if isinstance(m, nn.Conv2d): | ||
| nn.init.xavier_uniform_(m.weight) | ||
| if getattr(m, 'bias') is not None: | ||
| nn.init.constant_(m.bias, 0) |
mmdet/datasets/extra_aug.py
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| class Expand(object): | ||
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| def __init__(self, mean=(104, 117, 123), min_ratio=1, max_ratio=4): |
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Set default values to (0, 0, 0).
mmdet/datasets/extra_aug.py
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| class ExtraAugmentation(object): | ||
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| def __init__(self, | ||
| mean=(104, 117, 123), |
FANGAreNotGnu
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to FANGAreNotGnu/mmdetection
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Oct 23, 2023
* unzip return foldername or a tuple of foldernames
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