migrated to poetry, dataclasses
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gui.py
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gui.py
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import cv2
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import cv2
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img = cv2.imread('nebula2.jpg', 0)
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img = cv2.imread('sheep.png')
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cv2.imshow('image', img)
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cv2.imshow('image', img)
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k = cv2.waitKey(0)
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k = cv2.waitKey(0)
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1388
poetry.lock
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1388
poetry.lock
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pyproject.toml
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pyproject.toml
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[tool.poetry]
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name = "vision"
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version = "0.1.0"
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description = "Jupyter scratchpad for playing with computer vision"
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authors = ["andy <andy@sarsoo.xyz>"]
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[tool.poetry.dependencies]
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python = "^3.8"
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numpy = "^1.19.5"
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opencv-python = "^4.5.1"
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scikit-learn = "^0.24.1"
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scipy = "^1.6.0"
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jupyterlab = {version = "^3.0.6", optional = true}
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ipykernel = "^5.4.3"
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[tool.poetry.dev-dependencies]
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[tool.poetry.extras]
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jupyter = ["jupyterlab"]
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[build-system]
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requires = ["poetry-core>=1.0.0"]
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build-backend = "poetry.core.masonry.api"
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@ -1,78 +0,0 @@
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anyio==2.0.2
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argon2-cffi==20.1.0
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async-generator==1.10
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attrs==20.3.0
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Babel==2.9.0
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backcall==0.2.0
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bleach==3.2.1
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certifi==2020.12.5
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cffi==1.14.4
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chardet==4.0.0
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colorama==0.4.4
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cycler==0.10.0
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decorator==4.4.2
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defusedxml==0.6.0
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entrypoints==0.3
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idna==2.10
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importlib-metadata==3.3.0
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ipykernel==5.4.2
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ipython==7.19.0
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ipython-genutils==0.2.0
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jedi==0.18.0
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Jinja2==2.11.2
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joblib==1.0.0
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json5==0.9.5
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jsonschema==3.2.0
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jupyter-client==6.1.7
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jupyter-core==4.7.0
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jupyter-server==1.1.3
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jupyterlab==3.0.0
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jupyterlab-pygments==0.1.2
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jupyterlab-server==2.0.0
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kiwisolver==1.3.1
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MarkupSafe==1.1.1
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matplotlib==3.3.3
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mistune==0.8.4
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more-itertools==8.6.0
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nbclassic==0.2.5
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nbclient==0.5.1
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nbconvert==6.0.7
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nbformat==5.0.8
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nest-asyncio==1.4.3
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notebook==6.1.6
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numpy==1.19.4
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opencv-python==4.4.0.46
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packaging==20.8
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pandas==1.2.0
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pandocfilters==1.4.3
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parso==0.8.1
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pexpect==4.8.0
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pickleshare==0.7.5
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Pillow==8.0.1
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prometheus-client==0.9.0
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prompt-toolkit==3.0.8
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ptyprocess==0.7.0
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pycparser==2.20
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Pygments==2.7.3
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pyparsing==2.4.7
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pyrsistent==0.17.3
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python-dateutil==2.8.1
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pytz==2020.5
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pywin32==300
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pywinpty==0.5.7
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pyzmq==20.0.0
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requests==2.25.1
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scikit-learn==0.24.0
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scipy==1.6.0
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Send2Trash==1.5.0
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six==1.15.0
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sniffio==1.2.0
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terminado==0.9.1
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testpath==0.4.4
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threadpoolctl==2.1.0
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tornado==6.1
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traitlets==5.0.5
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urllib3==1.26.2
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wcwidth==0.2.5
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webencodings==0.5.1
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zipp==3.4.0
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from dataclasses import dataclass
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from typing import List
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from typing import List
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from vision.model import Image
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from vision.model import Image
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@dataclass
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class PrecisionRecall:
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class PrecisionRecall:
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def __init__(self, precision, recall, ap):
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precision: float
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self.precision = precision
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recall: float
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self.recall = recall
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ap: float
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self.ap = ap
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def get_precision(images: List[Image], test):
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def get_precision(images: List[Image], test):
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from dataclasses import dataclass
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from vision.model import Image
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from vision.model import Image
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from typing import List
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from typing import List
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import numpy as np
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import numpy as np
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@ -6,10 +7,10 @@ import math as m
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import cv2
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import cv2
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@dataclass
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class Edge:
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class Edge:
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def __init__(self, magnitude: np.array, angle: np.array):
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magnitude: np.array
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self.magnitude = magnitude
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angle: np.array
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self.angle = angle
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def get_edge_angle_hist(edge: Edge, bins: int, threshold: float):
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def get_edge_angle_hist(edge: Edge, bins: int, threshold: float):
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from dataclasses import dataclass
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from typing import List
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from typing import List
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import random
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import random
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import numpy as np
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import numpy as np
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@ -8,14 +9,11 @@ import logging
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logger = logging.getLogger(__name__)
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logger = logging.getLogger(__name__)
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@dataclass
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class QueryResult:
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class QueryResult:
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def __init__(self,
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sorted_images: List[Image]
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sorted_images: List[Image],
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query_image: Image
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query_image: Image,
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precision_recall: pr.PrecisionRecall
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precision_recall: pr.PrecisionRecall):
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self.sorted_images = sorted_images
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self.query_image = query_image
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self.precision_recall = precision_recall
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def run_query(images: List[Image], distance_measure=None, query_index=None):
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def run_query(images: List[Image], distance_measure=None, query_index=None):
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