dict(type='Resize', img_scale=(1333, 800), keep_ratio=True), dict(type='RandomFlip', flip_ratio=0.5), dict(type='Normalize', **img_norm_cfg), dict(type='Pad', size_divisor=32), dict(type='DefaultFormatBundle'), dict(type='Collect', keys=['img', 'gt_bboxes', 'gt_labels'...
train_pipeline: type: Compose components: - type: LoadImageFromFile - type: LoadAnnotations with_bbox: true - type: Resize img_scale: [(1333, 800), (1333, 1333)] keep_ratio: True - type: RandomFlip flip_ratio: 0.5 - type: Normalize mean: [123.675, 116.28, 103.53] std: [58.395, ...
Images scales for resizing.multiscale_mode (str): Either "range" or "value".ratio_range (tuple[float]): (min_ratio, max_ratio)keep_ratio (bool): Whether to keep the aspect ratio when resizing theimage."""def__init__(self,img_scale=None,multiscale_mode='range',ratio_range=None,keep...
return results.get('gt_masks', self.gen_masks_from_bboxes(results.get('gt_bboxes', []), results['img'].shape)) 配置文件 对于config来说,就只需要在MultiScaleFlipAug下加入CopyPaste就好,因为原本json里并没有mask标签,那LoadAnnotations里不需要设置with_mask=True,Collect的key里面也不需要添加‘gt...
dict(type='Resize', img_scale=(1600, 900), keep_ratio=True), dict(type='RandomFlip3D', flip_ratio_bev_horizontal=0.5), dict(type='Normalize', **img_norm_cfg), dict(type='Pad', size_divisor=32), dict(type='DefaultFormatBundle3D', class_names=class_names), ...
- 'img_shape': shape of the image input to the network as a tuple (h, w, c). Note that images may be zero padded on the bottom/right if the batch tensor is larger than this shape. - 'scale_factor': a float indicating the preprocessing scale ...
scale_major=True, octave_base_scale=None, scales_per_octave=None, centers=None, center_offset=0.):pass# 获得基础anchor的数量,比如ssd300->[4,6,6,6,4,4]defnum_base_anchors(self):pass# 获得特征层数,比如ssd300->6层defnum_levels(self):pass# 计算基础anchor,等于每个层(6层)最左上角的一...
'mmcv.cnn.bricks.scale', 'mmcv.cnn.bricks.swish', 'mmcv.cnn.bricks.upsample', 'mmcv.cnn.bricks.wrappers', 'mmcv.cnn.bricks', 'mmcv.runner.dist_utils', 'mmcv.runner.base_module', 'torchvision.extension', 'torchvision.models.utils', 'torchvision.models.alexnet', 'torchvision.models.resnet...
type='MultiScaleFlipAug3D', img_scale=(1333, 800), pts_scale_ratio=1, flip=False, transforms=[ dict( type='GlobalRotScaleTrans', rot_range=[0, 0], scale_ratio_range=[1.0, 1.0], translation_std=[0, 0, 0]), dict(type='RandomFlip3D'), ...
['img']), dict(type='Collect', keys=['img']), ]) ] # (建议使用)手动将 ImageToTensor 替换为 DefaultFormatBundle pipelines = [ dict(type='LoadImageFromFile'), dict( type='MultiScaleFlipAug', img_scale=(1333, 800), flip=False, transforms=[ dict(type='Resize', keep_ratio=True), ...