generated from Hazel/python-project
feat: improved bounding box format
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@ -1,7 +1,8 @@
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from .get_bounding_boxes import select_bounding_boxes
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from .get_bounding_boxes import select_bounding_boxes
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from .pixelation_process import pixelate
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def cli():
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def cli():
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print(f"Running secure_pixelation")
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print(f"Running secure_pixelation")
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select_bounding_boxes("assets/human_detection/test.png")
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pixelate("assets/human_detection/test.png")
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@ -1,6 +1,6 @@
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from __future__ import annotations
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from __future__ import annotations
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from typing import Union, List
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from typing import Union, List, Tuple
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from pathlib import Path
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from pathlib import Path
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import json
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import json
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@ -18,15 +18,13 @@ class RawImage:
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self.image = self.get_image()
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self.image = self.get_image()
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self.steps_dir = self._get_dir("steps")
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def _get_path(self, ending: str, original_suffix: bool = False) -> Path:
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def _get_path(self, ending: str, original_suffix: bool = False) -> Path:
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if original_suffix:
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if original_suffix:
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return self.file.with_name(self.file.stem + "_" + ending + self.file.suffix)
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return self.file.with_name(self.file.stem + "_" + ending + self.file.suffix)
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else:
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else:
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return self.file.with_name(self.file.stem + "_" + ending)
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return self.file.with_name(self.file.stem + "_" + ending)
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def _get_dir(self, name: str) -> Path:
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def get_dir(self, name: str) -> Path:
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p = self._get_path(ending=name, original_suffix=False)
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p = self._get_path(ending=name, original_suffix=False)
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p.mkdir(exist_ok=True, parents=True)
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p.mkdir(exist_ok=True, parents=True)
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return p
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return p
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@ -47,7 +45,7 @@ class RawImage:
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return cv2.imread(str(self.file))
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return cv2.imread(str(self.file))
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@property
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@property
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def bounding_boxes(self) -> List[List[int]]:
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def bounding_boxes(self) -> List[Tuple[Tuple[int, int], Tuple[int, int]]]:
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_key = "bounding_boxes"
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_key = "bounding_boxes"
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if _key not in self.meta_data:
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if _key not in self.meta_data:
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self.meta_data[_key] = []
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self.meta_data[_key] = []
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@ -18,5 +18,8 @@ def select_bounding_boxes(to_detect: str):
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fromCenter=False
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fromCenter=False
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)
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)
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raw_image.bounding_boxes.extend(bounding_boxes.tolist())
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raw_image.bounding_boxes.extend([
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((box[0], box[1]), (box[0] + box[2], box[1] + box[3]))
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for box in bounding_boxes
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])
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raw_image.write_meta()
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raw_image.write_meta()
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