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transformers_code_embeddings_v3

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444
bridgetower/image_processing_pil_bridgetower.py:get_resize_output_image_size
[ -0.00023337264428846538, 0.03779222443699837, 0.04593905061483383, -0.004299714230000973, -0.0009052029927261174, 0.031003201380372047, 0.02274322509765625, -0.04865466058254242, 0.014483247883617878, 0.018217209726572037, -0.00019359320867806673, -0.035302914679050446, 0.0012870854698121548...
[ "ChannelDimension", "FIRST", "Model_image_size", "Model_resize_output_image_size", "channel_dim", "def", "else", "if", "input_height", "input_image", "input_width", "int", "longer", "max", "max_size", "min", "min_size", "new_height", "new_width", "return", "scale", "shorter...
bridgetower/image_processing_pil_bridgetower.py:BridgeTowerImageProcessorPil
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[ "BICUBIC", "BatchFeature", "False", "ModelImageProcessorKwargs", "ModelImageProcessorPil", "OPENAI_CLIP_MEAN", "OPENAI_CLIP_STD", "PILImageResampling", "PilBackend", "SizeDict", "True", "__init__", "_preprocess", "append", "center_crop", "class", "crop_size", "data", "def", "de...
bridgetower/image_processing_bridgetower.py:get_resize_output_image_size
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[ "ChannelDimension", "FIRST", "Model_image_size", "Model_resize_output_image_size", "Tensor", "and", "channel_dim", "def", "else", "if", "input_height", "input_image", "input_width", "int", "is_torch_available", "isinstance", "longer", "max", "max_size", "min", "min_size", "...
bridgetower/image_processing_bridgetower.py:BridgeTowerImageProcessorKwargs
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[ "False", "ImagesKwargs", "ModelImageProcessorKwargs", "class", "int", "r", "size_divisor", "total" ]
bridgetower/image_processing_bridgetower.py:BridgeTowerImageProcessor
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[ "BICUBIC", "BatchFeature", "False", "ModelImageProcessor", "ModelImageProcessorKwargs", "OPENAI_CLIP_MEAN", "OPENAI_CLIP_STD", "PILImageResampling", "SizeDict", "TorchvisionBackend", "True", "__init__", "_preprocess", "center_crop", "class", "crop_size", "data", "def", "default_t...
fuyu/image_processing_pil_fuyu.py:FuyuImagesKwargs
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[ "False", "ImagesKwargs", "ModelImagesKwargs", "None", "SizeDict", "class", "float", "padding_mode", "padding_value", "patch_size", "r", "str", "total" ]
fuyu/image_processing_pil_fuyu.py:make_list_of_list_of_images
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[ "Model_list_of_images", "Model_list_of_list_of_images", "ValueError", "a", "all", "an", "and", "be", "def", "for", "if", "image", "images", "in", "is_valid_image", "isinstance", "list", "must", "of", "or", "raise", "return" ]
fuyu/image_processing_pil_fuyu.py:FuyuImageProcessorPil
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[ "BILINEAR", "BatchFeature", "ChannelDimension", "Expected", "FIRST", "ModelImageProcessorPil", "ModelImagesKwargs", "None", "PILImageResampling", "PilBackend", "SizeDict", "Tensor", "True", "ValueError", "__init__", "_prepare_images_structure", "_preprocess", "_standardize_kwargs",...
fuyu/image_processing_fuyu.py:make_list_of_list_of_images
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[ "Model_list_of_images", "Model_list_of_list_of_images", "ValueError", "a", "all", "an", "and", "be", "def", "for", "if", "image", "images", "in", "is_valid_image", "isinstance", "list", "must", "of", "or", "raise", "return" ]
fuyu/image_processing_fuyu.py:FuyuImagesKwargs
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[ "False", "ImagesKwargs", "ModelImagesKwargs", "None", "SizeDict", "class", "float", "padding_mode", "padding_value", "patch_size", "r", "str", "total" ]
fuyu/image_processing_fuyu.py:FuyuImageProcessor
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[ "BILINEAR", "BatchFeature", "ModelImageProcessor", "ModelImagesKwargs", "None", "PILImageResampling", "SizeDict", "TorchvisionBackend", "True", "ValueError", "_", "__init__", "_prepare_images_structure", "_preprocess", "_standardize_kwargs", "and", "antialias", "append", "arange"...
mobilenet_v1/image_processing_mobilenet_v1.py:MobileNetV1ImageProcessor
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[ "BILINEAR", "False", "IMAGENET_STANDARD_MEAN", "IMAGENET_STANDARD_STD", "ModelImageProcessor", "None", "PILImageResampling", "TorchvisionBackend", "True", "class", "crop_size", "default_to_square", "do_center_crop", "do_convert_rgb", "do_normalize", "do_rescale", "do_resize", "heig...
mobilenet_v1/image_processing_pil_mobilenet_v1.py:MobileNetV1ImageProcessorPil
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[ "BILINEAR", "False", "IMAGENET_STANDARD_MEAN", "IMAGENET_STANDARD_STD", "ModelImageProcessorPil", "None", "PILImageResampling", "PilBackend", "True", "class", "crop_size", "default_to_square", "do_center_crop", "do_convert_rgb", "do_normalize", "do_rescale", "do_resize", "height", ...
deepseek_vl_hybrid/image_processing_pil_deepseek_vl_hybrid.py:DeepseekVLHybridImageProcessorKwargs
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[ "False", "ImagesKwargs", "ModelImageProcessorKwargs", "class", "dict", "high_res_image_mean", "high_res_image_std", "high_res_resample", "high_res_size", "int", "min_size", "r", "total" ]
deepseek_vl_hybrid/image_processing_pil_deepseek_vl_hybrid.py:DeepseekVLHybridImageProcessorPil
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[ "AttributeError", "BICUBIC", "BatchFeature", "ChannelDimension", "FIRST", "Got", "Model", "ModelImageProcessorKwargs", "ModelImageProcessorPil", "None", "Not", "OPENAI_CLIP_MEAN", "OPENAI_CLIP_STD", "Output", "PILImageResampling", "PilBackend", "SizeDict", "True", "ValueError", ...
deepseek_vl_hybrid/image_processing_deepseek_vl_hybrid.py:DeepseekVLHybridImageProcessorKwargs
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[ "False", "ImagesKwargs", "ModelImageProcessorKwargs", "class", "dict", "high_res_image_mean", "high_res_image_std", "high_res_resample", "high_res_size", "int", "min_size", "r", "total" ]
deepseek_vl_hybrid/image_processing_deepseek_vl_hybrid.py:DeepseekVLHybridImageProcessor
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[ "AttributeError", "BICUBIC", "BatchFeature", "Got", "Model", "ModelImageProcessor", "ModelImageProcessorKwargs", "None", "Not", "OPENAI_CLIP_MEAN", "OPENAI_CLIP_STD", "Output", "PILImageResampling", "SizeDict", "TorchvisionBackend", "True", "ValueError", "__init__", "_preprocess"...
vitmatte/image_processing_vitmatte.py:VitMatteImageProcessorKwargs
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[ "False", "ImagesKwargs", "ModelImageProcessorKwargs", "class", "int", "r", "size_divisor", "total" ]
vitmatte/image_processing_vitmatte.py:VitMatteImageProcessor
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[ "BatchFeature", "ChannelDimension", "FIRST", "False", "IMAGENET_STANDARD_MEAN", "IMAGENET_STANDARD_STD", "ModelImageProcessor", "ModelImageProcessorKwargs", "None", "TorchvisionBackend", "True", "__init__", "_pad_image", "_prepare_image_like_inputs", "_preprocess", "_preprocess_image_l...
vitmatte/image_processing_pil_vitmatte.py:VitMatteImageProcessorKwargs
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[ "False", "ImagesKwargs", "ModelImageProcessorKwargs", "class", "int", "r", "size_divisor", "total" ]
vitmatte/image_processing_pil_vitmatte.py:VitMatteImageProcessorPil
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[ "BatchFeature", "CONSTANT", "ChannelDimension", "FIRST", "IMAGENET_STANDARD_MEAN", "IMAGENET_STANDARD_STD", "ModelImageProcessorKwargs", "ModelImageProcessorPil", "None", "PaddingMode", "PilBackend", "True", "__init__", "_prepare_image_like_inputs", "_preprocess", "_preprocess_image_li...
glmga/image_processing_pil_glmga.py:GlmgaImageProcessorKwargs
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[ "False", "ImagesKwargs", "ModelImageProcessorKwargs", "class", "int", "merge_size", "patch_expand_factor", "patch_size", "temporal_patch_size", "total" ]
glmga/image_processing_pil_glmga.py:smart_resize
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[ "Model_resize", "ValueError", "absolute", "aspect", "be", "beta", "ceil", "def", "elif", "f", "factor", "floor", "got", "h_bar", "height", "if", "int", "larger", "math", "max", "max_pixels", "min", "min_pixels", "must", "num_frames", "or", "raise", "ratio", "r...
glmga/image_processing_pil_glmga.py:GlmgaImageProcessorPil
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[ "BICUBIC", "BatchFeature", "False", "ModelImageProcessorKwargs", "ModelImageProcessorPil", "None", "OPENAI_CLIP_MEAN", "OPENAI_CLIP_STD", "PILImageResampling", "PilBackend", "SizeDict", "True", "__init__", "_preprocess", "_standardize_kwargs", "append", "array", "asarray", "auto_...
glmga/image_processing_glmga.py:GlmgaImageProcessorKwargs
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[ "False", "ImagesKwargs", "ModelImageProcessorKwargs", "class", "int", "merge_size", "patch_expand_factor", "patch_size", "temporal_patch_size", "total" ]
glmga/image_processing_glmga.py:smart_resize
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[ "Model_resize", "ValueError", "absolute", "aspect", "be", "beta", "ceil", "def", "elif", "f", "factor", "floor", "got", "h_bar", "height", "if", "int", "larger", "math", "max", "max_pixels", "min", "min_pixels", "must", "num_frames", "or", "raise", "ratio", "r...
glmga/image_processing_glmga.py:GlmgaImageProcessor
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[ "BICUBIC", "BatchFeature", "False", "ModelImageProcessor", "ModelImageProcessorKwargs", "None", "OPENAI_CLIP_MEAN", "OPENAI_CLIP_STD", "PILImageResampling", "SizeDict", "TorchvisionBackend", "True", "__init__", "_preprocess", "_standardize_kwargs", "auto_docstring", "batch_size", "...
lightglue/image_processing_pil_lightglue.py:LightGlueImageProcessorKwargs
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[ "False", "ImagesKwargs", "ModelImageProcessorKwargs", "bool", "class", "do_grayscale", "r", "total" ]
lightglue/image_processing_pil_lightglue.py:is_grayscale
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[ "True", "all", "and", "def", "if", "image", "is_grayscale", "np", "return", "shape" ]
lightglue/image_processing_pil_lightglue.py:convert_to_grayscale
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[ "Image", "L", "Model", "Model_to_grayscale", "axis", "def", "gray_image", "if", "image", "is_grayscale", "isinstance", "ndarray", "not", "np", "return", "stack" ]
lightglue/image_processing_pil_lightglue.py:validate_and_format_image_pairs
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[ "A", "ImageType", "Input", "Model_and_format_image_pairs", "PIL", "ValueError", "_is_valid_image", "a", "all", "and", "arrays", "be", "def", "error_message", "following", "for", "get_image_type", "if", "image", "image_pair", "images", "in", "is_pil_image", "is_valid_ima...
lightglue/image_processing_pil_lightglue.py:LightGlueImageProcessorPil
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lightglue/image_processing_lightglue.py:LightGlueImageProcessorKwargs
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[ "False", "ImagesKwargs", "ModelImageProcessorKwargs", "bool", "class", "do_grayscale", "r", "total" ]
lightglue/image_processing_lightglue.py:_is_valid_image
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lightglue/image_processing_lightglue.py:validate_and_format_image_pairs
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lightglue/image_processing_lightglue.py:is_grayscale
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lightglue/image_processing_lightglue.py:convert_to_grayscale
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[ "Model_to_grayscale", "def", "if", "image", "is_grayscale", "num_output_channels", "return", "rgb_to_grayscale", "tvF" ]
lightglue/image_processing_lightglue.py:LightGlueImageProcessor
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aria/image_processing_pil_aria.py:AriaImageProcessorKwargs
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aria/image_processing_pil_aria.py:AriaImageProcessorPil
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aria/image_processing_aria.py:AriaImageProcessorKwargs
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aria/image_processing_aria.py:AriaImageProcessor
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pp_formulanet/image_processing_pp_formulanet.py:PPFormulaNetImageProcessorKwargs
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[ "False", "ImagesKwargs", "Model", "bool", "class", "do_align_long_axis", "do_crop_margin", "do_thumbnail", "r", "total" ]
pp_formulanet/image_processing_pp_formulanet.py:PPFormulaNetImageProcessor
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seggpt/image_processing_pil_seggpt.py:SegGptImageProcessorKwargs
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seggpt/image_processing_pil_seggpt.py:build_palette
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seggpt/image_processing_pil_seggpt.py:SegGptImageProcessorPil
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seggpt/image_processing_seggpt.py:build_palette
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seggpt/image_processing_seggpt.py:SegGptImageProcessorKwargs
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seggpt/image_processing_seggpt.py:SegGptImageProcessor
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pp_doclayout_v2/image_processing_pp_doclayout_v2.py:PPDocLayoutV2ImageProcessor
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beit/image_processing_beit.py:BeitImageProcessorKwargs
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beit/image_processing_beit.py:BeitImageProcessor
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beit/image_processing_pil_beit.py:BeitImageProcessorKwargs
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beit/image_processing_pil_beit.py:BeitImageProcessorPil
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glm4v/image_processing_pil_glm4v.py:smart_resize
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glm4v/image_processing_pil_glm4v.py:Glm4vImageProcessorKwargs
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[ "False", "ImagesKwargs", "ModelImageProcessorKwargs", "class", "int", "merge_size", "patch_size", "temporal_patch_size", "total" ]
glm4v/image_processing_pil_glm4v.py:Glm4vImageProcessorPil
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glm4v/image_processing_glm4v.py:Glm4vImageProcessorKwargs
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glm4v/image_processing_glm4v.py:smart_resize
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glm4v/image_processing_glm4v.py:Glm4vImageProcessor
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ernie4_5_vl_moe/image_processing_pil_ernie4_5_vl_moe.py:Ernie4_5_VLMoeImageProcessorKwargs
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ernie4_5_vl_moe/image_processing_pil_ernie4_5_vl_moe.py:smart_resize
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ernie4_5_vl_moe/image_processing_pil_ernie4_5_vl_moe.py:Ernie4_5_VLMoeImageProcessorPil
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ernie4_5_vl_moe/image_processing_pil_ernie4_5_vl_moe.py:Ernie4_5_VL_MoeImageProcessorPil
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ernie4_5_vl_moe/image_processing_ernie4_5_vl_moe.py:Ernie4_5_VLMoeImageProcessorKwargs
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[ "False", "ImagesKwargs", "ModelVLMoeImageProcessorKwargs", "class", "int", "merge_size", "patch_size", "r", "temporal_patch_size", "total" ]
ernie4_5_vl_moe/image_processing_ernie4_5_vl_moe.py:smart_resize
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ernie4_5_vl_moe/image_processing_ernie4_5_vl_moe.py:Ernie4_5_VLMoeImageProcessor
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ernie4_5_vl_moe/image_processing_ernie4_5_vl_moe.py:Ernie4_5_VL_MoeImageProcessor
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superglue/image_processing_superglue.py:_is_valid_image
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superglue/image_processing_superglue.py:validate_and_format_image_pairs
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superglue/image_processing_superglue.py:is_grayscale
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superglue/image_processing_superglue.py:convert_to_grayscale
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superglue/image_processing_superglue.py:SuperGlueImageProcessorKwargs
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superglue/image_processing_superglue.py:SuperGlueImageProcessor
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superglue/image_processing_pil_superglue.py:is_grayscale
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superglue/image_processing_pil_superglue.py:convert_to_grayscale
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superglue/image_processing_pil_superglue.py:validate_and_format_image_pairs
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superglue/image_processing_pil_superglue.py:SuperGlueImageProcessorKwargs
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[ "False", "ImagesKwargs", "ModelImageProcessorKwargs", "bool", "class", "do_grayscale", "r", "total" ]
superglue/image_processing_pil_superglue.py:SuperGlueImageProcessorPil
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tipsv2_dpt/image_processing_tipsv2_dpt.py:Tipsv2DptImageProcessor
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mobilevit/image_processing_pil_mobilevit.py:MobileVitImageProcessorKwargs
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[ "False", "ImagesKwargs", "ModelImageProcessorKwargs", "bool", "class", "do_flip_channel_order", "do_reduce_labels", "total" ]
mobilevit/image_processing_pil_mobilevit.py:MobileViTImageProcessorPil
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mobilevit/image_processing_mobilevit.py:MobileVitImageProcessorKwargs
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mobilevit/image_processing_mobilevit.py:MobileViTImageProcessor
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dpt/image_processing_dpt.py:DPTImageProcessorKwargs
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dpt/image_processing_dpt.py:get_resize_output_image_size
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dpt/image_processing_dpt.py:DPTImageProcessor
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dpt/image_processing_pil_dpt.py:DPTImageProcessorKwargs
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dpt/image_processing_pil_dpt.py:get_resize_output_image_size
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dpt/image_processing_pil_dpt.py:DPTImageProcessorPil
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pp_doclayout_v3/image_processing_pp_doclayout_v3.py:PPDocLayoutV3ImageProcessor
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timm_wrapper/image_processing_timm_wrapper.py:TimmWrapperImageProcessor
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conditional_detr/image_processing_conditional_detr.py:ConditionalDetrImageProcessorKwargs
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[ "AnnotationFormat", "False", "ImagesKwargs", "ModelImageProcessorKwargs", "bool", "class", "do_convert_annotations", "format", "r", "str", "total" ]
conditional_detr/image_processing_conditional_detr.py:binary_mask_to_rle
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conditional_detr/image_processing_conditional_detr.py:convert_segmentation_to_rle
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conditional_detr/image_processing_conditional_detr.py:remove_low_and_no_objects
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conditional_detr/image_processing_conditional_detr.py:check_segment_validity
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conditional_detr/image_processing_conditional_detr.py:compute_segments
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conditional_detr/image_processing_conditional_detr.py:convert_coco_poly_to_mask
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