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images_kwargsTFr ) add_special_tokenspaddingstridereturn_overflowing_tokensreturn_special_tokens_maskreturn_offsets_mappingreturn_token_type_idsverboser" r @ )r& r' N)r r r r! r r _defaultsr r r r% r% / sC ""&& #' ).*/&+%* "
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Constructs an KOSMOS-2 processor which wraps a KOSMOS-2 image processor and a KOSMOS-2 tokenizer into a single
processor.
[`Kosmos2Processor`] offers all the functionalities of [`CLIPImageProcessor`] and some functionalities of
[`XLMRobertaTokenizerFast`]. See the docstring of [`~Kosmos2Processor.__call__`] and [`~Kosmos2Processor.decode`]
for more information.
Args:
image_processor (`CLIPImageProcessor`):
An instance of [`CLIPImageProcessor`]. The image processor is a required input.
tokenizer (`XLMRobertaTokenizerFast`):
An instance of ['XLMRobertaTokenizerFast`]. The tokenizer is a required input.
num_patch_index_tokens (`int`, *optional*, defaults to 1024):
The number of tokens that represent patch indices.
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This method uses [`CLIPImageProcessor.__call__`] method to prepare image(s) for the model, and
[`XLMRobertaTokenizerFast.__call__`] to prepare text for the model.
Please refer to the docstring of the above two methods for more information.
The rest of this documentation shows the arguments specific to `Kosmos2Processor`.
Args:
bboxes (`Union[list[tuple[int]], list[tuple[float]], list[list[tuple[int]]], list[list[tuple[float]]]]`, *optional*):
The bounding bboxes associated to `texts`.
num_image_tokens (`int`, *optional* defaults to 64):
The number of (consecutive) places that are used to mark the placeholders to store image information.
This should be the same as `latent_query_num` in the instance of `Kosmos2Config` you are using.
first_image_token_id (`int`, *optional*):
The token id that will be used for the first place of the subsequence that is reserved to store image
information. If unset, will default to `self.tokenizer.unk_token_id + 1`.
add_eos_token (`bool`, defaults to `False`):
Whether or not to include `EOS` token id in the encoding when `add_special_tokens=True`.
Nz*You have to specify either images or text.tokenizer_init_kwargsr' r r r0 r r& r" Fr( r) return_tensors)r r] r input_idsattention_maskc | d S Nr )rW s r z+Kosmos2Processor.__call__.. s defhdir )keyrg rightleft)rc rd image_embeds_position_mask)data tensor_typer )
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Check `bboxes` for a single text example. It could be
- `None`: no bounding box associated to a text.
- A list with each element being the bounding boxes associated to one ` ... ` pair found
in a text. This could be:
- `None`: no bounding box associated to a ` ... ` pair.
- A tuple of 2 integers: A single bounding box specified by patch indices.
- A tuple of 4 float point number: A single bounding box specified by (normalized) coordinates.
- A list containing the above 2 tuple types: Multiple bounding boxes for a
` ... ` pair.
Nz@`bboxes` (for a single text example) should be `None` or a list. c 3 < K | ] }t |t y wN)rv r .0rW s r zAKosmos2Processor._check_bboxes_for_single_text..B s .S7az!S/A7 r< c 3 < K | ] }t |t y wr )rv r r s r r zAKosmos2Processor._check_bboxes_for_single_text..C s 1XPW1*Q2FPWr a' Each element in `bboxes` (for a single text example) should be either `None`, a tuple containing 2 integers or 4 float point numbers, or a list containing such tuples. Also make sure the arguments `texts` and `bboxes` passed to `preprocess_text` are both in batches or both for a single example.)rv r ro tuplerz all)rU r bboxelements r _check_bboxes_for_single_textz.Kosmos2Processor._check_bboxes_for_single_text) s > FD) _` ` D| d+ v !'51\Q&3.S7.S+SG )c1XPW1X.X$@ r c \ |j }|| d| }| j || }|S )N )strip_insert_patch_index_tokens)rU r] imager img_info_tokenss r _preprocess_single_examplez+Kosmos2Processor._preprocess_single_exampleL s= zz| %&av.D ..tV< r textsr r c | j g|z }dj | j g|z | j gz }d}t |t rd}|g}|dgt | z }nt |t s|g}t | t | k7 r$t dt | dt | d |s| j | |g}nE|4t |t s t d |D ] }| j | ndgt | z }t | t | k7 r$t d t | dt | d t ||| D
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Args:
texts (`Union[TextInput, list[TextInput]]`): The texts to be processed.
images (`ImageInput`, *optional*): The images associated to `texts`.
bboxes (`Union[list[tuple[int]], list[tuple[float]], list[list[tuple[int]]], list[list[tuple[float]]]]`, *optional*):
The bounding bboxes associated to `texts`.
num_image_tokens (`int`, *optional*, defaults to 64):
The number of image tokens (used as latent queries). This should corresponds to the `latent_query_num`
attribute in `Kosmos2Config`.
Returns:
`Union[TextInput, list[TextInput]]`: The processed texts with image and patch index tokens.
r TFNzGThe number of examples in `texts` and `images` should be the same. Got v.s. instead.zS`bboxes` should be `None` or a list (as a batch) when `texts` is passed as a batch.zGThe number of examples in `texts` and `bboxes` should be the same. Got r ) rB joinrC rv rO rz r ro r zipr )
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Post-process the output of the model to decode the text.
Args:
generated_outputs (`torch.Tensor` or `np.ndarray`):
The output of the model `generate` function. The output is expected to be a tensor of shape `(batch_size, sequence_length)`
or `(sequence_length,)`.
skip_special_tokens (`bool`, *optional*, defaults to `True`):
Whether or not to remove special tokens in the output. Argument passed to the tokenizer's `batch_decode` method.
**kwargs:
Additional arguments to be passed to the tokenizer's `batch_decode method`.
Returns:
`list[str]`: The decoded text.
skip_special_tokensF)r ) batch_decoder )rU generated_outputsr rV generated_textsr] s r post_process_image_text_to_textz0Kosmos2Processor.post_process_image_text_to_text sN ,$++,=qSfqjpqZijZiRV,,Tu,MZijjjs 7c l | j j }| j j }||z dgz S )Nrl )r5 model_input_namesr4 )rU tokenizer_input_namesimage_processor_input_namess r r z"Kosmos2Processor.model_input_names s9 $ @ @ &*&:&:&L&L#$'BBFbEcccr c |t | dk( r|S t t j d| }t | t | k7 r$t dt | dt | d d}g }t || D ] \ }}|j
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num_patches_per_side (`int`): the number of patches along each side.
Returns:
`tuple[int, int]`: A pair of patch indices representing the upper-left patch and lower-right patch.
zTThe coordinates in `bbox` should be `(x1, y1, x2, y2)` with `x2 > x1` and `y2 > y1`.rb )ro r floorceil) r r x1y1x2y2ul_xul_ylr_xlr_yul_idxlr_idxs r r r s RR GRopp ::b// 0D ::b// 0D 99R..2 3D 99R..2 3D
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Given a grid of length `num_patches_per_side` and the indices of the upper-left and lower-right corners of a
bounding box, returns the normalized coordinates of the bounding box, in the form (x1, y1, x2, y2).
Args:
ul_idx (`int`): the index of the grid cell that corresponds to the upper-left corner of the bounding box.
lr_idx (`int`): the index of the grid cell that corresponds to the lower-right corner of the bounding box.
num_patches_per_side (`int`): the number of patches along each side.
Returns:
`tuple[float]`: the normalized coordinates of the bounding box, in the form (x1, y1, x2, y2).
g ?r r ) r r r cell_sizer r r r r r r r s r patch_index_to_coordinater s **I ( (D ) )D ( (D ) )D
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|||gf ( r |S ) a Extract entities contained in `text`. The bounding bboxes is given in the form of patch indices.
This function is only intended to be used within `clean_text_and_extract_entities_with_bboxes` where further
processing happens, including converting to normalized coordinates and whitespace character cleaning up.
Examples:
```python
>>> text = " An image of a snowman warming himself by a fire."
>>> entities = extract_entities_with_patch_indices(text)
>>> entities
[(' a snowman', (31, 41), [(44, 863)]), (' a fire', (130, 137), [(5, 911)])]
```z(?:(([^<]+)))?r Nr r: zrb r; z>r N)rz r sub)r r] entity_namestartr adjusted_start adjusted_endadjusted_entitys r adjust_entity_positionsr | s_ & K %T&5\:;Nrvvgr4:67L"^\$BCO r c | j }t | t | j z
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}|j }|j |||f|f ||fS )z9Remove the spaces around the text and the entities in it.)r rz r> r? rQ ) r] entitiesnew_textleading_spaces new_entitiesr r r r entity_name_leading_spacesentity_name_trailing_spacess r _cleanup_spacesr s zz|HYT[[]!33NL-5) \eS6%(%5K>> text = " An image of a snowman warming himself by a fire."
>>> clean_text, entities = clean_text_and_extract_entities_with_bboxes(text)
>>> clean_text
'An image of a snowman warming himself by a fire.'
>>> entities
[('a snowman', (12, 21), [(0.390625, 0.046875, 0.984375, 0.828125)]), ('a fire', (41, 47), [(0.171875, 0.015625, 0.484375, 0.890625)])]
```r r r r rb )r r r r r rQ r ) r] r processed_textr r itemr r r r bboxes_in_coordss r r r s VVGR.N"Ed"K H+ aDG1&$?jpqjpbf 5d1gtAwH\ ]jpq+;*==> , >8 44 rs B) )&r ry r r typingr r image_processing_utilsr image_utilsr processing_utilsr r r
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