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transformers_code_embeddings_v3

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embedding
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444
sam/image_processing_sam.py:SamImageProcessor
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[ "BILINEAR", "BatchFeature", "ChannelDimension", "F", "FIRST", "False", "IMAGENET_DEFAULT_MEAN", "IMAGENET_DEFAULT_STD", "Input", "ModelImageProcessor", "ModelImageProcessorKwargs", "Modele", "NEAREST", "None", "PILImageReModelpling", "SizeDict", "Tensor", "TorchvisionBackend", "T...
sam/image_processing_sam.py:_compute_stability_score
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[ "_compute_stability_score", "def", "dtype", "int16", "int32", "intersections", "mask_threshold", "masks", "return", "stability_score_offset", "stability_scores", "sum", "torch", "unions" ]
sam/image_processing_sam.py:_batched_mask_to_box
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sam/image_processing_sam.py:_is_box_near_crop_edge
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sam/image_processing_sam.py:_pad_masks
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sam/image_processing_sam.py:_generate_crop_boxes
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sam/image_processing_sam.py:_generate_per_layer_crops
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[ "_generate_per_layer_crops", "append", "box", "ceil", "crop_box_x0", "crop_box_y0", "crop_boxes", "crop_height", "crop_n_layers", "crop_width", "def", "for", "i", "i_layer", "im_height", "im_width", "in", "int", "layer_idxs", "left", "math", "min", "n_crops_per_side", "...
sam/image_processing_sam.py:_build_point_grid
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[ "None", "_build_point_grid", "def", "dim", "linspace", "n_per_side", "offset", "points", "points_one_side", "points_x", "points_y", "reshape", "return", "stack", "tile", "torch" ]
sam/image_processing_sam.py:_generate_crop_images
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[ "None", "_generate_crop_images", "_normalize_coordinates", "append", "bottom", "crop_box", "crop_boxes", "cropped_im", "cropped_im_size", "cropped_images", "def", "dims", "enumerate", "flip", "for", "i", "image", "in", "input_data_format", "layer_idxs", "left", "normalized_...
sam/image_processing_sam.py:_normalize_coordinates
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sam/image_processing_sam.py:_rle_to_mask
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sam/image_processing_sam.py:_post_process_for_mask_generation
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sam/image_processing_sam.py:_mask_to_rle
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sam/image_processing_pil_sam.py:get_resize_output_image_size
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[ "Model_image_size", "Model_resize_output_image_size", "None", "def", "else", "height", "if", "input_data_format", "input_image", "int", "longest_edge", "new_height", "new_width", "ratio", "return", "width" ]
sam/image_processing_pil_sam.py:SamImageProcessorKwargs
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[ "False", "ImagesKwargs", "ModelImageProcessorKwargs", "class", "int", "mask_pad_size", "mask_size", "r", "total" ]
sam/image_processing_pil_sam.py:SamImageProcessorPil
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[ "BILINEAR", "BatchFeature", "ChannelDimension", "F", "FIRST", "False", "IMAGENET_DEFAULT_MEAN", "IMAGENET_DEFAULT_STD", "ImportError", "Input", "ModelImageProcessorKwargs", "ModelImageProcessorPil", "Modele", "NEAREST", "None", "PILImageReModelpling", "PilBackend", "PyTorch", "Si...
sam/image_processing_pil_sam.py:_compute_stability_score
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[ "_compute_stability_score", "def", "dtype", "int16", "int32", "intersections", "mask_threshold", "masks", "return", "stability_score_offset", "stability_scores", "sum", "torch", "unions" ]
sam/image_processing_pil_sam.py:_batched_mask_to_box
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sam/image_processing_pil_sam.py:_is_box_near_crop_edge
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sam/image_processing_pil_sam.py:_pad_masks
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sam/image_processing_pil_sam.py:_generate_crop_boxes
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sam/image_processing_pil_sam.py:_generate_per_layer_crops
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sam/image_processing_pil_sam.py:_build_point_grid
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sam/image_processing_pil_sam.py:_generate_crop_images
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sam/image_processing_pil_sam.py:_normalize_coordinates
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sam/image_processing_pil_sam.py:_rle_to_mask
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sam/image_processing_pil_sam.py:_post_process_for_mask_generation
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sam/image_processing_pil_sam.py:_mask_to_rle
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perceiver/image_processing_perceiver.py:PerceiverImageProcessor
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[ "BICUBIC", "BatchFeature", "IMAGENET_DEFAULT_MEAN", "IMAGENET_DEFAULT_STD", "ModelImageProcessor", "None", "PILImageResampling", "SizeDict", "TorchvisionBackend", "True", "__init__", "_preprocess", "center_crop", "class", "crop_size", "cropped_height", "cropped_images", "cropped_im...
perceiver/image_processing_pil_perceiver.py:PerceiverImageProcessorPil
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tvp/image_processing_tvp.py:TvpImageProcessorKwargs
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[ "False", "ImagesKwargs", "ModelImageProcessorKwargs", "None", "bool", "class", "constant_values", "do_flip_channel_order", "float", "list", "pad_mode", "r", "str", "total" ]
tvp/image_processing_tvp.py:TvpImageProcessor
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[ "BILINEAR", "BatchFeature", "False", "IMAGENET_STANDARD_MEAN", "IMAGENET_STANDARD_STD", "ModelImageProcessor", "ModelImageProcessorKwargs", "None", "PILImageResampling", "SizeDict", "TorchvisionBackend", "True", "__init__", "_flip_channel_order", "_prepare_images_structure", "_preproce...
tvp/image_processing_pil_tvp.py:get_resize_output_image_size
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[ "Model_image_size", "Model_resize_output_image_size", "None", "def", "else", "height", "if", "input_data_format", "input_image", "int", "max_size", "new_height", "new_width", "ratio", "return", "size", "width" ]
tvp/image_processing_pil_tvp.py:TvpImageProcessorKwargs
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[ "False", "ImagesKwargs", "ModelImageProcessorKwargs", "None", "bool", "class", "constant_values", "do_flip_channel_order", "float", "list", "pad_mode", "r", "str", "total" ]
tvp/image_processing_pil_tvp.py:TvpImageProcessorPil
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[ "BILINEAR", "BatchFeature", "CONSTANT", "ChannelDimension", "FIRST", "False", "IMAGENET_STANDARD_MEAN", "IMAGENET_STANDARD_STD", "ImportError", "ModelImageProcessorKwargs", "ModelImageProcessorPil", "None", "PILImageResampling", "PaddingMode", "PilBackend", "PyTorch", "SizeDict", "...
deit/image_processing_deit.py:DeiTImageProcessor
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deit/image_processing_pil_deit.py:DeiTImageProcessorPil
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llava/image_processing_llava.py:LlavaImageProcessor
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[ "BICUBIC", "BatchFeature", "False", "InterpolationMode", "ModelImageProcessor", "None", "OPENAI_CLIP_MEAN", "OPENAI_CLIP_STD", "PILImageResampling", "TorchvisionBackend", "True", "ValueError", "__init__", "_preprocess", "background_color", "center_crop", "channels", "class", "cro...
llava/image_processing_pil_llava.py:LlavaImageProcessorPil
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[ "BICUBIC", "BatchFeature", "False", "ModelImageProcessorPil", "OPENAI_CLIP_MEAN", "OPENAI_CLIP_STD", "PILImageResampling", "PilBackend", "True", "ValueError", "__init__", "_preprocess", "append", "background_color", "center_crop", "channels", "class", "color", "crop_size", "dat...
pixtral/image_processing_pil_pixtral.py:PixtralImageProcessorKwargs
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[ "False", "ImagesKwargs", "ModelImageProcessorKwargs", "class", "int", "patch_size", "total" ]
pixtral/image_processing_pil_pixtral.py:_num_image_tokens
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[ "_num_image_tokens", "def", "else", "height", "if", "image_size", "int", "isinstance", "list", "num_height_tokens", "num_width_tokens", "patch_height", "patch_size", "patch_width", "return", "tuple", "width" ]
pixtral/image_processing_pil_pixtral.py:get_resize_output_image_size
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pixtral/image_processing_pil_pixtral.py:PixtralImageProcessorPil
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pixtral/image_processing_pixtral.py:_num_image_tokens
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pixtral/image_processing_pixtral.py:get_resize_output_image_size
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pixtral/image_processing_pixtral.py:PixtralImageProcessorKwargs
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[ "False", "ImagesKwargs", "ModelImageProcessorKwargs", "class", "int", "patch_size", "total" ]
pixtral/image_processing_pixtral.py:PixtralImageProcessor
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levit/image_processing_pil_levit.py:LevitImageProcessorPil
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levit/image_processing_levit.py:LevitImageProcessor
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pp_ocrv6_small_rec/image_processing_pp_ocrv6_small_rec.py:PPOCRV6SmallRecImageProcessorKwargs
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[ "False", "ImagesKwargs", "Model", "character_list", "class", "int", "max_image_width", "r", "str", "total" ]
pp_ocrv6_small_rec/image_processing_pp_ocrv6_small_rec.py:PPOCRV6SmallRecImageProcessor
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swin2sr/image_processing_swin2sr.py:Swin2SRImageProcessorKwargs
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[ "False", "ImagesKwargs", "ModelImageProcessorKwargs", "class", "int", "size_divisor", "total" ]
swin2sr/image_processing_swin2sr.py:Swin2SRImageProcessor
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swin2sr/image_processing_pil_swin2sr.py:Swin2SRImageProcessorKwargs
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[ "False", "ImagesKwargs", "ModelImageProcessorKwargs", "class", "int", "size_divisor", "total" ]
swin2sr/image_processing_pil_swin2sr.py:Swin2SRImageProcessorPil
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nougat/image_processing_pil_nougat.py:NougatImageProcessorKwargs
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[ "False", "ImagesKwargs", "ModelImageProcessorKwargs", "bool", "class", "do_align_long_axis", "do_crop_margin", "do_thumbnail", "r", "total" ]
nougat/image_processing_pil_nougat.py:NougatImageProcessorPil
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nougat/image_processing_nougat.py:NougatImageProcessorKwargs
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[ "False", "ImagesKwargs", "ModelImageProcessorKwargs", "bool", "class", "do_align_long_axis", "do_crop_margin", "do_thumbnail", "r", "total" ]
nougat/image_processing_nougat.py:NougatImageProcessor
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