MISSING_PAGE_EMPTY
what happen
(Nougat) root@ubuntu:/home/ubuntu# nougat ./ori_VSL_SERIALIZED_PARTS_LIST_part.pdf --out ./ --markdown /root/anaconda3/envs/Nougat/lib/python3.10/site-packages/nougat/transforms.py:108: UserWarning: Argument(s) 'always_apply' are not valid for transform BasicTransform super().__init__(always_apply=always_apply, p=p) /root/anaconda3/envs/Nougat/lib/python3.10/site-packages/nougat/transforms.py:42: UserWarning: Argument(s) 'always_apply' are not valid for transform BasicTransform super().__init__(always_apply=always_apply, p=p) /root/anaconda3/envs/Nougat/lib/python3.10/site-packages/nougat/transforms.py:76: UserWarning: Argument(s) 'always_apply' are not valid for transform BasicTransform super().__init__(always_apply=always_apply, p=p) /root/anaconda3/envs/Nougat/lib/python3.10/site-packages/nougat/transforms.py:123: UserWarning: Argument(s) 'cval' are not valid for transform Affine alb.Affine(shear={"x": (0, 3), "y": (-3, 0)}, cval=(255, 255, 255), p=0.03), /root/anaconda3/envs/Nougat/lib/python3.10/site-packages/albumentations/core/validation.py:111: UserWarning: ShiftScaleRotate is a special case of Affine transform. Please use Affine transform instead. original_init(self, **validated_kwargs) /root/anaconda3/envs/Nougat/lib/python3.10/site-packages/nougat/transforms.py:124: UserWarning: Argument(s) 'value' are not valid for transform ShiftScaleRotate alb.ShiftScaleRotate( /root/anaconda3/envs/Nougat/lib/python3.10/site-packages/nougat/transforms.py:134: UserWarning: Argument(s) 'value' are not valid for transform GridDistortion alb.GridDistortion( /root/anaconda3/envs/Nougat/lib/python3.10/site-packages/nougat/transforms.py:143: UserWarning: Argument(s) 'always_apply, cval' are not valid for transform Affine alb.Affine( /root/anaconda3/envs/Nougat/lib/python3.10/site-packages/nougat/transforms.py:146: UserWarning: Argument(s) 'alpha_affine, value' are not valid for transform ElasticTransform alb.ElasticTransform( /root/anaconda3/envs/Nougat/lib/python3.10/site-packages/nougat/transforms.py:158: UserWarning: Argument(s) 'quality' are not valid for transform ImageCompression alb.ImageCompression( compression_type="jpeg",quality=95, p=0.07), /root/anaconda3/envs/Nougat/lib/python3.10/site-packages/nougat/transforms.py:159: UserWarning: Argument(s) 'var_limit' are not valid for transform GaussNoise alb.GaussNoise(var_limit=(20, 20), p=0.08), WARNING:root:No GPU found. Conversion on CPU is very slow. You are using a model of type vision-encoder-decoder to instantiate a model of type nougat. This is not supported for all configurations of models and can yield errors. /root/anaconda3/envs/Nougat/lib/python3.10/site-packages/torch/functional.py:554: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at /pytorch/aten/src/ATen/native/TensorShape.cpp:4314.) return _VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined] Some weights of the model checkpoint at /root/.cache/torch/hub/nougat-0.1.0-small were not used when initializing NougatModel: ['encoder.encoder.layers.2.blocks.8.attention.output.dense.weight', ''decoder.model.model.decoder.layers.0.self_attn.out_proj.bias', 'decoder.model.model.decoder.layer_norm.bias', 'encoder.model.layers.3.blocks.1.attn.qkv.bias', 'decoder.model.model.decoder.layers.9.self_attn.v_proj.bias', 'decoder.model.model.decoder.layers.5.final_layer_norm.bias', 'decoder.model.model.decoder.layers.0.self_attn_layer_norm.bias'] You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference. 0%| | 0/19 [00:00<?, ?it/s]/root/anaconda3/envs/Nougat/lib/python3.10/site-packages/nougat/model.py:437: UserWarning: var(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at /pytorch/aten/src/ATen/native/ReduceOps.cpp:1839.) return torch.var(self.values, 1) / self.values.shape[1] WARNING:root:Found repetitions in sample 0 INFO:root:Processing file ori_VSL_SERIALIZED_PARTS_LIST_part.pdf with 19 pages 5%|████████▉ | 1/19 [00:17<05:13, 17.42s/it]WARNING:root:Found repetitions in sample 0 11%|█████████████████▊ Cannot close object, library is destroyed. This may cause a memory leak!
MISSING_PAGE_EMPTY
what happen
(Nougat) root@ubuntu:/home/ubuntu# nougat ./ori_VSL_SERIALIZED_PARTS_LIST_part.pdf --out ./ --markdown /root/anaconda3/envs/Nougat/lib/python3.10/site-packages/nougat/transforms.py:108: UserWarning: Argument(s) 'always_apply' are not valid for transform BasicTransform super().__init__(always_apply=always_apply, p=p) /root/anaconda3/envs/Nougat/lib/python3.10/site-packages/nougat/transforms.py:42: UserWarning: Argument(s) 'always_apply' are not valid for transform BasicTransform super().__init__(always_apply=always_apply, p=p) /root/anaconda3/envs/Nougat/lib/python3.10/site-packages/nougat/transforms.py:76: UserWarning: Argument(s) 'always_apply' are not valid for transform BasicTransform super().__init__(always_apply=always_apply, p=p) /root/anaconda3/envs/Nougat/lib/python3.10/site-packages/nougat/transforms.py:123: UserWarning: Argument(s) 'cval' are not valid for transform Affine alb.Affine(shear={"x": (0, 3), "y": (-3, 0)}, cval=(255, 255, 255), p=0.03), /root/anaconda3/envs/Nougat/lib/python3.10/site-packages/albumentations/core/validation.py:111: UserWarning: ShiftScaleRotate is a special case of Affine transform. Please use Affine transform instead. original_init(self, **validated_kwargs) /root/anaconda3/envs/Nougat/lib/python3.10/site-packages/nougat/transforms.py:124: UserWarning: Argument(s) 'value' are not valid for transform ShiftScaleRotate alb.ShiftScaleRotate( /root/anaconda3/envs/Nougat/lib/python3.10/site-packages/nougat/transforms.py:134: UserWarning: Argument(s) 'value' are not valid for transform GridDistortion alb.GridDistortion( /root/anaconda3/envs/Nougat/lib/python3.10/site-packages/nougat/transforms.py:143: UserWarning: Argument(s) 'always_apply, cval' are not valid for transform Affine alb.Affine( /root/anaconda3/envs/Nougat/lib/python3.10/site-packages/nougat/transforms.py:146: UserWarning: Argument(s) 'alpha_affine, value' are not valid for transform ElasticTransform alb.ElasticTransform( /root/anaconda3/envs/Nougat/lib/python3.10/site-packages/nougat/transforms.py:158: UserWarning: Argument(s) 'quality' are not valid for transform ImageCompression alb.ImageCompression( compression_type="jpeg",quality=95, p=0.07), /root/anaconda3/envs/Nougat/lib/python3.10/site-packages/nougat/transforms.py:159: UserWarning: Argument(s) 'var_limit' are not valid for transform GaussNoise alb.GaussNoise(var_limit=(20, 20), p=0.08), WARNING:root:No GPU found. Conversion on CPU is very slow. You are using a model of type vision-encoder-decoder to instantiate a model of type nougat. This is not supported for all configurations of models and can yield errors. /root/anaconda3/envs/Nougat/lib/python3.10/site-packages/torch/functional.py:554: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at /pytorch/aten/src/ATen/native/TensorShape.cpp:4314.) return _VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined] Some weights of the model checkpoint at /root/.cache/torch/hub/nougat-0.1.0-small were not used when initializing NougatModel: ['encoder.encoder.layers.2.blocks.8.attention.output.dense.weight', ''decoder.model.model.decoder.layers.0.self_attn.out_proj.bias', 'decoder.model.model.decoder.layer_norm.bias', 'encoder.model.layers.3.blocks.1.attn.qkv.bias', 'decoder.model.model.decoder.layers.9.self_attn.v_proj.bias', 'decoder.model.model.decoder.layers.5.final_layer_norm.bias', 'decoder.model.model.decoder.layers.0.self_attn_layer_norm.bias'] You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference. 0%| | 0/19 [00:00<?, ?it/s]/root/anaconda3/envs/Nougat/lib/python3.10/site-packages/nougat/model.py:437: UserWarning: var(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at /pytorch/aten/src/ATen/native/ReduceOps.cpp:1839.) return torch.var(self.values, 1) / self.values.shape[1] WARNING:root:Found repetitions in sample 0 INFO:root:Processing file ori_VSL_SERIALIZED_PARTS_LIST_part.pdf with 19 pages 5%|████████▉ | 1/19 [00:17<05:13, 17.42s/it]WARNING:root:Found repetitions in sample 0 11%|█████████████████▊ Cannot close object, library is destroyed. This may cause a memory leak!