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Functions1,214 in github.com/IceClear/CLIP-IQA

⨍ Functions 1,214◇ Types & classes 335↳ Endpoints 1
Method__init__
(self, style='StyleGAN', device='cpu', **inception_kwargs)
mmedit/core/evaluation/inceptions.py:20
Method__init__
(self, num_repeats=100, sample_size=1000, use_unbiased_esti
mmedit/core/evaluation/inceptions.py:124
Method__init__
Module to calculate the accuracy. Args: topk (tuple): The criterion used to calculate the accuracy. Defaults to (1
mmedit/core/evaluation/metrics.py:708
Method__init__
Build pretrained InceptionV3. Args: output_blocks (list[int]): Indices of blocks to return features of. Possible v
mmedit/core/evaluation/inception_utils.py:43
Method__init__
(self, in_channels, channels_7x7)
mmedit/core/evaluation/inception_utils.py:228
Method__init__
(self, in_channels)
mmedit/core/evaluation/inception_utils.py:264
Method__init__
(self, in_channels)
mmedit/core/evaluation/inception_utils.py:305
Method__init__
(self, inception_url)
mmedit/core/evaluation/inception_utils.py:367
Method__init__
(self, module_keys, interp_mode='lerp', interp_cfg=None,
mmedit/core/hooks/ema.py:40
Method__init__
(self, output_dir, res_name_list, interval=-1,
mmedit/core/hooks/visualization.py:41
Method__init__
(self, *args, **kwargs)
mmedit/core/hooks/visualization.py:93
Method__init__
(self, sess, io_binding, output_names)
mmedit/core/export/wrappers.py:64
Method__init__
(self, sess, io_binding, output_names, base_model)
mmedit/core/export/wrappers.py:79
Method__init__
(self, onnx_file, cfg, device_id)
mmedit/core/export/wrappers.py:95
Method__init__
(self, transform_dict, noise_std=None)
mmedit/apis/restoration_inference.py:145
Method__init__
(self, gt_folder, ann_file, pipeline, scale, test_mode=False)
mmedit/datasets/sr_facial_landmark_dataset.py:40
Method__init__
(self, ann_file, pipeline, data_prefix=None, test_mode=False)
mmedit/datasets/img_inpainting_dataset.py:12
Method__init__
(self, lq_folder, gt_folder, num_input_frames,
mmedit/datasets/sr_reds_multiple_gt_dataset.py:29
Method__init__
(self, lq_folder, gt_folder, ann_file, num
mmedit/datasets/sr_vimeo90k_dataset.py:38
Method__init__
(self, lq_folder, gt_folder, ann_file, num
mmedit/datasets/sr_vid4_dataset.py:50
Method__init__
(self, pipeline, folder, ann_file, test_mode=False)
mmedit/datasets/vfi_vimeo90k_dataset.py:35
Method__init__
(self, dataroot, pipeline, test_mode=False)
mmedit/datasets/generation_unpaired_dataset.py:28
Method__init__
(self, lq_folder, gt_folder, pipeline, sca
mmedit/datasets/sr_folder_dataset.py:52
Method__init__
(self, lq_folder, gt_folder, ann_file, pip
mmedit/datasets/sr_annotation_dataset.py:40
Method__init__
(self, pipeline, folder, ann_file, test_mode=False)
mmedit/datasets/base_vfi_dataset.py:14
Method__init__
(self, lq_folder, gt_folder, pipeline, sca
mmedit/datasets/sr_folder_multiple_gt_dataset.py:53
Method__init__
(self, pipeline, test_mode=False)
mmedit/datasets/base_dataset.py:25
Method__init__
(self, ann_file, pipeline, data_prefix=None, test_mode=False)
mmedit/datasets/base_matting_dataset.py:12
Method__init__
(self, lq_folder, gt_folder, num_input_frames,
mmedit/datasets/sr_folder_video_dataset.py:64
Method__init__
(self, img_folder, pipeline, ann_file,
mmedit/datasets/iqa_koniq_dataset.py:16
Method__init__
(self, img_folder, pipeline, file_path,
mmedit/datasets/iqa_koniq_dataset.py:49
Method__init__
(self, pipeline, scale, test_mode=False)
mmedit/datasets/base_sr_dataset.py:21
Method__init__
(self, lq_folder, gt_folder, pipeline, scale, test_mode=False)
mmedit/datasets/sr_lmdb_dataset.py:63
Method__init__
(self, lq_folder, gt_folder, ann_file, pip
mmedit/datasets/sr_vimeo90k_multiple_gt_dataset.py:41
Method__init__
(self, gt_folder, pipeline, scale, test_mo
mmedit/datasets/sr_folder_gt_dataset.py:41
Method__init__
(self, dataroot, pipeline, test_mode=False)
mmedit/datasets/generation_paired_dataset.py:24
Method__init__
(self, dataset, times)
mmedit/datasets/dataset_wrappers.py:19
Method__init__
(self, folder, ann_file, pipeline, input_f
mmedit/datasets/vfi_vimeo90k_7frames_dataset.py:43
Method__init__
(self, lq_folder, gt_folder, pipeline, scale, test_mode=True)
mmedit/datasets/sr_test_multiple_gt_dataset.py:30
Method__init__
(self, pipeline, scale, ref_folder, gt_fol
mmedit/datasets/sr_folder_ref_dataset.py:67
Method__init__
(self, lq_folder, gt_folder, ann_file, num
mmedit/datasets/sr_reds_dataset.py:39
Method__init__
(self, dataset, num_replicas=None, rank=None,
mmedit/datasets/samplers/distributed_sampler.py:19
Method__init__
(self, keys, scale=None, keep_ratio=False,
mmedit/datasets/pipelines/augmentation.py:68
Method__init__
(self, keys, degrees)
mmedit/datasets/pipelines/augmentation.py:184
Method__init__
(self, keys, flip_ratio=0.5, direction='horizontal')
mmedit/datasets/pipelines/augmentation.py:233
Method__init__
(self, keys, ds_factor=32, **kwargs)
mmedit/datasets/pipelines/augmentation.py:291
Method__init__
(self, keys, degrees, translate=None, scal
mmedit/datasets/pipelines/augmentation.py:371
Method__init__
(self, hue_range=40)
mmedit/datasets/pipelines/augmentation.py:564
Method__init__
(self, keys, channel_order='rgb', **kwargs)
mmedit/datasets/pipelines/augmentation.py:654
Method__init__
(self, keys, binary_thr, to_int=False)
mmedit/datasets/pipelines/augmentation.py:713
Method__init__
(self, keys, binary_thr=0., kernel_min=9, kernel_max=49)
mmedit/datasets/pipelines/augmentation.py:760
Method__init__
(self, keys, transpose_ratio=0.5)
mmedit/datasets/pipelines/augmentation.py:819
Method__init__
(self, padding, filename_tmpl='{:08d}')
mmedit/datasets/pipelines/augmentation.py:876
Method__init__
(self, interval_list, frames_per_clip=99)
mmedit/datasets/pipelines/augmentation.py:959
Method__init__
(self, keys, reverse_ratio=0.5)
mmedit/datasets/pipelines/augmentation.py:1027
Method__init__
(self, interval_list, start_idx=0, filename_tmpl='{:08d}.png')
mmedit/datasets/pipelines/augmentation.py:1074
Method__init__
(self, keys)
mmedit/datasets/pipelines/augmentation.py:1143
Method__init__
(self, src_keys, dst_keys)
mmedit/datasets/pipelines/augmentation.py:1185
Method__init__
(self, keys)
mmedit/datasets/pipelines/augmentation.py:1231
Method__init__
(self, kernel_size, sigma, weight, threshold, keys)
mmedit/datasets/pipelines/augmentation.py:1285
Method__init__
(self, keys, crop_size, random_crop=True, is_pad_zeros=False)
mmedit/datasets/pipelines/crop.py:26
Method__init__
(self, keys, crop_size, scale=(0.08, 1.0),
mmedit/datasets/pipelines/crop.py:144
Method__init__
(self, keys, crop_size, crop_pos=None)
mmedit/datasets/pipelines/crop.py:252
Method__init__
(self, gt_patch_size)
mmedit/datasets/pipelines/crop.py:346
Method__init__
(self, crop_size)
mmedit/datasets/pipelines/crop.py:426
Method__init__
(self, keys, crop_sizes, unknown_source='alpha',
mmedit/datasets/pipelines/crop.py:521
Method__init__
(self, keys, bd_ratio_range=(0.1, 0.4), test_mode=False)
mmedit/datasets/pipelines/crop.py:624
Method__init__
(self, target_key, reference_key=None)
mmedit/datasets/pipelines/crop.py:715
Method__init__
(self, io_backend='disk', key='gt', flag='color',
mmedit/datasets/pipelines/loading.py:33
Method__init__
(self, bg_dir, io_backend='disk', flag='color',
mmedit/datasets/pipelines/loading.py:226
Method__init__
(self, mask_mode='bbox', mask_config=None)
mmedit/datasets/pipelines/loading.py:334
Method__init__
(self, gamma=0.99, beta=1.5)
mmedit/datasets/pipelines/loading.py:441
Method__init__
(self, transforms)
mmedit/datasets/pipelines/compose.py:18
Method__init__
(self, scale_min=1.0, scale_max=4.0, patch_size=None,
mmedit/datasets/pipelines/random_down_sampling.py:35
Method__init__
(self, keypoint, ori_size, target_size, sigma=1.0)
mmedit/datasets/pipelines/generate_assistant.py:20
Method__init__
(self, sample_quantity=None, scale=None, target_size=None)
mmedit/datasets/pipelines/generate_assistant.py:111
Method__init__
(self, params, keys)
mmedit/datasets/pipelines/random_degradations.py:31
Method__init__
(self, params, keys)
mmedit/datasets/pipelines/random_degradations.py:151
Method__init__
(self, params, keys)
mmedit/datasets/pipelines/random_degradations.py:258
Method__init__
(self, params, keys)
mmedit/datasets/pipelines/random_degradations.py:361
Method__init__
(self, params, keys)
mmedit/datasets/pipelines/random_degradations.py:419
Method__init__
(self, degradations, keys, shuffle_idx=None)
mmedit/datasets/pipelines/random_degradations.py:511
Method__init__
(self, keys, mean, std, to_rgb=False, save_original=False)
mmedit/datasets/pipelines/normalization.py:23
Method__init__
(self, keys)
mmedit/datasets/pipelines/normalization.py:80
Method__init__
(self, kernel_size, iterations=1, random=True)
mmedit/datasets/pipelines/matting_aug.py:73
Method__init__
(self, dist_thr=20, random=True)
mmedit/datasets/pipelines/matting_aug.py:160
Method__init__
(self, fg_dirs, alpha_dirs, interpolation='nearest',
mmedit/datasets/pipelines/matting_aug.py:227
Method__init__
(self, kernel_size=5, erode_iter_range=(10, 20), dilate_ite
mmedit/datasets/pipelines/matting_aug.py:334
Method__init__
(self, gamma_ratio=0.6)
mmedit/datasets/pipelines/matting_aug.py:431
Method__init__
(self, fg_thr=0.2, border_width=25, erode_ksize=3,
mmedit/datasets/pipelines/matting_aug.py:486
Method__init__
(self, keys, scale=None, output_shape=None,
mmedit/datasets/pipelines/matlab_like_resize.py:190
Method__init__
(self, keys)
mmedit/datasets/pipelines/formating.py:42
Method__init__
(self, keys, to_float32=True)
mmedit/datasets/pipelines/formating.py:73
Method__init__
(self, img_name='gt_img', mask_name='mask')
mmedit/datasets/pipelines/formating.py:152
Method__init__
(self, to_onehot=False)
mmedit/datasets/pipelines/formating.py:193
Method__init__
(self, keys, meta_keys=None)
mmedit/datasets/pipelines/formating.py:238
Method__init__
(self, bpe_path: str = default_bpe())
mmedit/models/components/clip/simple_tokenizer.py:63
Method__init__
(self, inplanes, planes, stride=1)
mmedit/models/components/clip/model.py:13
Method__init__
(self, spacial_dim: int, embed_dim: int, num_heads: int, output_dim: int = None)
mmedit/models/components/clip/model.py:57
Method__init__
(self, layers, output_dim, heads, input_resolution=224, width=64)
mmedit/models/components/clip/model.py:106
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