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Use pylint dynamic member correctly
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@ -804,7 +804,7 @@ contextmanager-decorators=contextlib.contextmanager
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# List of members which are set dynamically and missed by pylint inference
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# system, and so shouldn't trigger E1101 when accessed. Python regular
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# expressions are accepted.
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generated-members=
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generated-members=cv2.*,sentencepiece.*
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# Tells whether to warn about missing members when the owner of the attribute
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# is inferred to be None.
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@ -9,7 +9,7 @@ from . import node_helpers
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def _open_exr(exr_path) -> Image.Image:
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return Image.fromarray(cv2.imread(exr_path, cv2.IMREAD_COLOR)) # pylint: disable=no-member
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return Image.fromarray(cv2.imread(exr_path, cv2.IMREAD_COLOR))
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@contextmanager
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@ -28,7 +28,7 @@ SOFTWARE.
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import copy
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from typing import Sequence, Tuple
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import cv2 as cv
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import cv2
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import numpy as np
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import torch
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from torch import Tensor
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@ -36,7 +36,7 @@ from torch import Tensor
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from .component_model.images_types import RgbMaskTuple
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read_exr = lambda fp: cv.imread(fp, cv.IMREAD_UNCHANGED).astype(np.float32) # pylint: disable=no-member
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read_exr = lambda fp: cv2.imread(fp, cv2.IMREAD_UNCHANGED).astype(np.float32)
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def mut_srgb_to_linear(np_array) -> None:
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less = np_array <= 0.0404482362771082
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@ -85,4 +85,4 @@ def save_exr(images: Tensor, filepaths_batched: Sequence[str], colorspace="linea
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bgr[:, :, :, 3] = np.clip(1 - linear[:, :, :, 3], 0, 1) # invert alpha
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for i in range(len(linear.shape[0])):
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cv.imwrite(filepaths_batched[i], bgr[i]) # pylint: disable=no-member
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cv2.imwrite(filepaths_batched[i], bgr[i])
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@ -32,16 +32,16 @@ class SPieceTokenizer:
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self.end = self.tokenizer.eos_id()
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self.eos_token_id = self.end
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self.eos_token = self.tokenizer.id_to_piece(self.eos_token_id) # pylint: disable=no-member
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self.eos_token = self.tokenizer.id_to_piece(self.eos_token_id)
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self._vocab = {
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self.tokenizer.id_to_piece(i): i for i in range(self.tokenizer.get_piece_size()) # pylint: disable=no-member
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self.tokenizer.id_to_piece(i): i for i in range(self.tokenizer.get_piece_size())
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}
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def get_vocab(self):
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return self._vocab
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def __call__(self, string):
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out = self.tokenizer.encode(string) # pylint: disable=no-member
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out = self.tokenizer.encode(string)
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return {"input_ids": out}
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def serialize_model(self):
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@ -68,8 +68,8 @@ class ImageApplyColorMap(CustomNode):
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colored_image = normalized_depth_uint8
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else:
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cv2_colormap = getattr(cv2, colormap)
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colored_image = cv2.applyColorMap(normalized_depth_uint8, cv2_colormap) # pylint: disable=no-member
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colored_image_rgb = cv2.cvtColor(colored_image, cv2.COLOR_BGR2RGB) # pylint: disable=no-member
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colored_image = cv2.applyColorMap(normalized_depth_uint8, cv2_colormap)
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colored_image_rgb = cv2.cvtColor(colored_image, cv2.COLOR_BGR2RGB)
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rgb_tensor = torch.tensor(colored_image_rgb).float() * 1.0 / 255.0
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colored_images.append(rgb_tensor)
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@ -674,7 +674,7 @@ class SaveImagesResponse(CustomNode):
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mut_srgb_to_linear(image_as_numpy_array[:, :, :3])
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image_scaled = image_as_numpy_array.astype(np.float32)
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if bits == 16:
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cv_save_options = [cv2.IMWRITE_EXR_TYPE, cv2.IMWRITE_EXR_TYPE_HALF] # pylint: disable=no-member
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cv_save_options = [cv2.IMWRITE_EXR_TYPE, cv2.IMWRITE_EXR_TYPE_HALF]
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else:
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image_scaled = np.clip(image_as_numpy_array * 65535, 0, 65535).astype(np.uint16)
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@ -769,7 +769,7 @@ class SaveImagesResponse(CustomNode):
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if save_method == 'pil':
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image_as_pil.save(local_path, format=save_format, **additional_args)
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else:
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cv2.imwrite(local_path, image_scaled) # pylint: disable=no-member
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cv2.imwrite(local_path, image_scaled)
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img_item: SaveNodeResultWithName = {
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"abs_path": str(abs_path),
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