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github.com/Picsart-AI-Research/Text2Video-Zero
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Functions
1,788 in github.com/Picsart-AI-Research/Text2Video-Zero
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Functions
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Types & classes
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1
Method
__init__
Simple RoI align in PointRend, faster than standard RoIAlign. Args: output_size (tuple[int]): h, w spatial_scale (flo
annotator/uniformer/mmcv/ops/point_sample.py:278
Method
__init__
(self, in_channels, out_channels, kernel_size,
annotator/uniformer/mmcv/ops/saconv.py:37
Method
__init__
(self, kernel_size, group_size, scale_factor)
annotator/uniformer/mmcv/ops/carafe.py:86
Method
__init__
(self, channels, scale_factor, up_kernel=5,
annotator/uniformer/mmcv/ops/carafe.py:230
Method
__init__
(self, num_point: List[int], fps_mod_list: List[str] = ['D-FPS'],
annotator/uniformer/mmcv/ops/points_sampler.py:74
Method
__init__
(self)
annotator/uniformer/mmcv/ops/points_sampler.py:136
Method
__init__
(self)
annotator/uniformer/mmcv/ops/points_sampler.py:148
Method
__init__
(self, pool_size)
annotator/uniformer/mmcv/ops/border_align.py:88
Method
__init__
(self, voxel_size, point_cloud_range, max_num_points,
annotator/uniformer/mmcv/ops/voxelize.py:89
Method
__init__
(self, *args, **kwargs)
annotator/uniformer/mmcv/ops/modulated_deform_conv.py:228
Method
__init__
(self, in_channels, out_channels, kernel_size,
annotator/uniformer/mmcv/ops/masked_conv.py:93
Method
__init__
(self, kernel_size: int = 1, max_displacement: int = 1, str
annotator/uniformer/mmcv/ops/correlation.py:167
Method
__init__
(self, psa_type, mask_size=None)
annotator/uniformer/mmcv/ops/psa_mask.py:74
Method
__init__
(self, mode)
annotator/uniformer/mmcv/ops/corner_pool.py:136
Method
__init__
(self, output_size, spatial_scale=1.0, sampling_ratio=0,
annotator/uniformer/mmcv/ops/roi_align.py:176
Method
__init__
(self, *args, **kwargs)
annotator/uniformer/mmcv/ops/deform_conv.py:358
Method
__init__
(self, voxel_size, point_cloud_range, average_points: bool)
annotator/uniformer/mmcv/ops/scatter_points.py:75
Method
__init__
(self, output_size, output_channels, deform_fc_channels=102
annotator/uniformer/mmcv/ops/deform_roi_pool.py:113
Method
__init__
(self, output_size, output_channels, deform_fc_channels=102
annotator/uniformer/mmcv/ops/deform_roi_pool.py:154
Method
__init__
(self, out_size, max_pts_per_voxel=128, mode='max')
annotator/uniformer/mmcv/ops/roiaware_pool3d.py:28
Method
__init__
(self, num_sampled_points=512)
annotator/uniformer/mmcv/ops/roipoint_pool3d.py:20
Method
__init__
(self, *args, **kwargs)
annotator/uniformer/mmcv/ops/deprecated_wrappers.py:20
Method
__init__
(self, *args, **kwargs)
annotator/uniformer/mmcv/ops/deprecated_wrappers.py:30
Method
__init__
(self, *args, **kwargs)
annotator/uniformer/mmcv/ops/deprecated_wrappers.py:39
Method
__init__
(self, num_features, eps=1e-5, momentum=0.1,
annotator/uniformer/mmcv/ops/sync_bn.py:193
Method
__init__
(self, fused_channels=256, out_channels=256, with_out_conv=
annotator/uniformer/mmcv/ops/merge_cells.py:43
Method
__init__
(self, in_channels, out_channels, **kwargs)
annotator/uniformer/mmcv/ops/merge_cells.py:132
Method
__init__
(self, in_channels=None, out_channels=None, **kwargs)
annotator/uniformer/mmcv/ops/merge_cells.py:143
Method
__init__
(self, num_channels, negative_slope=0.2, scale=2**0.5)
annotator/uniformer/mmcv/ops/fused_bias_leakyrelu.py:213
Method
__init__
(self, out_size, spatial_scale, sample_num=0,
annotator/uniformer/mmcv/ops/roi_align_rotated.py:159
Method
__init__
(self, in_channels)
annotator/uniformer/mmcv/ops/cc_attention.py:44
Method
__init__
(self, output_size, spatial_scale=1.0)
annotator/uniformer/mmcv/ops/roi_pool.py:73
Method
__init__
(self, gamma, alpha, weight=None, reduction='mean')
annotator/uniformer/mmcv/ops/focal_loss.py:196
Method
__init__
(self, embed_dims=256, num_heads=8, num_levels=4,
annotator/uniformer/mmcv/ops/multi_scale_deform_attn.py:182
Method
__init__
(self, max_radius, sample_num, min_radius=0,
annotator/uniformer/mmcv/ops/group_points.py:39
Method
__init__
(self, cfg_dict=None, cfg_text=None, filename=None)
annotator/uniformer/mmcv/utils/config.py:377
Method
__init__
(self, message)
annotator/uniformer/mmcv/utils/timer.py:7
Method
__init__
(self, name, build_func=None, parent=None, scope=None)
annotator/uniformer/mmcv/utils/registry.py:88
Method
__init__
(self, task_num=0, bar_width=50, start=True, file=sys.stdout)
annotator/uniformer/mmcv/utils/progressbar.py:13
Method
__init__
(self, *args, init_cfg=None)
annotator/uniformer/mmcv/runner/base_module.py:180
Method
__init__
(self, modules=None, init_cfg=None)
annotator/uniformer/mmcv/runner/base_module.py:193
Method
__init__
(self)
annotator/uniformer/mmcv/runner/log_buffer.py:9
Method
__init__
(self, runner_cfg, default_args=None)
annotator/uniformer/mmcv/runner/default_constructor.py:36
Method
__init__
(self, model, batch_processor=None, optimizer=None,
annotator/uniformer/mmcv/runner/base_runner.py:51
Method
__init__
(self, *args, **kwargs)
annotator/uniformer/mmcv/runner/epoch_based_runner.py:184
Method
__init__
(self, init_scale=2**32, mode='dynamic', scale_factor=2.,
annotator/uniformer/mmcv/runner/fp16_utils.py:335
Method
__init__
(self, dataloader)
annotator/uniformer/mmcv/runner/iter_based_runner.py:21
Method
__init__
(self, before_epoch=False, after_epoch=True, after_iter=False)
annotator/uniformer/mmcv/runner/hooks/memory.py:10
Method
__init__
(self, cumulative_iters=1, **kwargs)
annotator/uniformer/mmcv/runner/hooks/optimizer.py:64
Method
__init__
(self, grad_clip=None, coalesce=True, bucket_si
annotator/uniformer/mmcv/runner/hooks/optimizer.py:162
Method
__init__
(self, *args, **kwargs)
annotator/uniformer/mmcv/runner/hooks/optimizer.py:251
Method
__init__
(self, dataloader, start=None, interval=1,
annotator/uniformer/mmcv/runner/hooks/evaluation.py:439
Method
__init__
(self, momentum=0.0002, interval=1, warm_up=100,
annotator/uniformer/mmcv/runner/hooks/ema.py:29
Method
__init__
(self, step, gamma=0.5, min_momentum=None, **kwargs)
annotator/uniformer/mmcv/runner/hooks/momentum_updater.py:168
Method
__init__
(self, min_momentum=None, min_momentum_ratio=None, **kwargs)
annotator/uniformer/mmcv/runner/hooks/momentum_updater.py:204
Method
__init__
(self, by_epoch=False, target_ratio=(0.85 / 0.95, 1), cycli
annotator/uniformer/mmcv/runner/hooks/momentum_updater.py:244
Method
__init__
(self, base_momentum=0.85, max_momentum=0.95, pct_start=0.3
annotator/uniformer/mmcv/runner/hooks/momentum_updater.py:333
Method
__init__
(self, by_epoch: bool = True, profile_iters: int = 1, activ
annotator/uniformer/mmcv/runner/hooks/profiler.py:55
Method
__init__
(self, interval=-1, by_epoch=True, save_optimizer=True,
annotator/uniformer/mmcv/runner/hooks/checkpoint.py:51
Method
__init__
(self, fn_name, fn)
annotator/uniformer/mmcv/runner/hooks/closure.py:8
Method
__init__
(self, **kwargs)
annotator/uniformer/mmcv/runner/hooks/lr_updater.py:159
Method
__init__
(self, step, gamma=0.1, min_lr=None, **kwargs)
annotator/uniformer/mmcv/runner/hooks/lr_updater.py:180
Method
__init__
(self, gamma, **kwargs)
annotator/uniformer/mmcv/runner/hooks/lr_updater.py:216
Method
__init__
(self, power=1., min_lr=0., **kwargs)
annotator/uniformer/mmcv/runner/hooks/lr_updater.py:228
Method
__init__
(self, gamma, power=1., **kwargs)
annotator/uniformer/mmcv/runner/hooks/lr_updater.py:247
Method
__init__
(self, min_lr=None, min_lr_ratio=None, **kwargs)
annotator/uniformer/mmcv/runner/hooks/lr_updater.py:260
Method
__init__
(self, start_percent=0.75, min_lr=None, min_lr_ratio=None,
annotator/uniformer/mmcv/runner/hooks/lr_updater.py:298
Method
__init__
(self, periods, restart_weights=[1], min_lr=None,
annotator/uniformer/mmcv/runner/hooks/lr_updater.py:349
Method
__init__
(self, by_epoch=False, target_ratio=(10, 1e-4), cyclic_time
annotator/uniformer/mmcv/runner/hooks/lr_updater.py:434
Method
__init__
(self, max_lr, total_steps=None, pct_start=0.3,
annotator/uniformer/mmcv/runner/hooks/lr_updater.py:532
Method
__init__
(self, distributed=True)
annotator/uniformer/mmcv/runner/hooks/sync_buffer.py:16
Method
__init__
(self, log_dir=None, interval=10, ignore_last=True,
annotator/uniformer/mmcv/runner/hooks/logger/tensorboard.py:13
Method
__init__
(self, by_epoch=True, interval=10, ignore_last=True,
annotator/uniformer/mmcv/runner/hooks/logger/text.py:55
Method
__init__
(self, init_kwargs=None, interval=10, ignore_last=True,
annotator/uniformer/mmcv/runner/hooks/logger/neptune.py:38
Method
__init__
(self, init_kwargs=None, interval=10, ignore_last=True,
annotator/uniformer/mmcv/runner/hooks/logger/wandb.py:10
Method
__init__
(self, interval=10, ignore_last=True, reset_flag=False,
annotator/uniformer/mmcv/runner/hooks/logger/base.py:24
Method
__init__
(self, init_kwargs=None, add_graph=False, add_last_ckpt=Fal
annotator/uniformer/mmcv/runner/hooks/logger/pavi.py:19
Method
__init__
Class to log metrics and (optionally) a trained model to MLflow. It requires `MLflow`_ to be installed. Args: exp_name (
annotator/uniformer/mmcv/runner/hooks/logger/mlflow.py:10
Method
__init__
(self, path, interval=10, ignore_last=True,
annotator/uniformer/mmcv/runner/hooks/logger/dvclive.py:29
Method
__init__
(self, optimizer_cfg, paramwise_cfg=None)
annotator/uniformer/mmcv/runner/optimizer/default_constructor.py:95
Method
__init__
(self, num_classes=-1)
annotator/uniformer/mmcv/cnn/alexnet.py:14
Method
__init__
(self, depth, with_bn=False, num_classes=-1,
annotator/uniformer/mmcv/cnn/vgg.py:61
Method
__init__
(self, inplanes, planes, stride=1, dilatio
annotator/uniformer/mmcv/cnn/resnet.py:25
Method
__init__
Bottleneck block. If style is "pytorch", the stride-two layer is the 3x3 conv layer, if it is "caffe", the stride-two layer is the fi
annotator/uniformer/mmcv/cnn/resnet.py:67
Method
__init__
(self, val, **kwargs)
annotator/uniformer/mmcv/cnn/utils/weight_init.py:175
Method
__init__
(self, gain=1, distribution='normal', **kwargs)
annotator/uniformer/mmcv/cnn/utils/weight_init.py:217
Method
__init__
(self, mean=0, std=1, **kwargs)
annotator/uniformer/mmcv/cnn/utils/weight_init.py:260
Method
__init__
(self, mean: float = 0, std: float = 1, a: float = -2,
annotator/uniformer/mmcv/cnn/utils/weight_init.py:306
Method
__init__
(self, a=0, b=1, **kwargs)
annotator/uniformer/mmcv/cnn/utils/weight_init.py:358
Method
__init__
(self, a=0, mode='fan_out', nonlinearity='relu',
annotator/uniformer/mmcv/cnn/utils/weight_init.py:411
Method
__init__
(self, **kwargs)
annotator/uniformer/mmcv/cnn/utils/weight_init.py:451
Method
__init__
(self, checkpoint, prefix=None, map_location=None)
annotator/uniformer/mmcv/cnn/utils/weight_init.py:478
Method
__init__
(self, drop_prob=0.1)
annotator/uniformer/mmcv/cnn/bricks/drop.py:39
Method
__init__
(self, in_channels, spatial_range=-1, num_heads=9,
annotator/uniformer/mmcv/cnn/bricks/generalized_attention.py:47
Method
__init__
(self, in_channels, out_channels, kernel_size,
annotator/uniformer/mmcv/cnn/bricks/conv_module.py:70
Method
__init__
(self, in_channels, out_channels, kernel_size,
annotator/uniformer/mmcv/cnn/bricks/conv_ws.py:78
Method
__init__
(self, in_channels, ratio, pooling_type='att',
annotator/uniformer/mmcv/cnn/bricks/context_block.py:36
Method
__init__
(self, in_channels, out_channels, scale_factor, upsample_kernel)
annotator/uniformer/mmcv/cnn/bricks/upsample.py:27
Method
__init__
(self, in_channels, out_channels, kernel_size,
annotator/uniformer/mmcv/cnn/bricks/depthwise_separable_conv_module.py:48
Method
__init__
(self, bias=1.0, divisor=2.0, min_value=0.0, max_value=1.0)
annotator/uniformer/mmcv/cnn/bricks/hsigmoid.py:23
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