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* colors expression by KMean algorithm * object detection by imageai * object detection by cvlib * add encapsulation of object detection * remove encapsulation of objdetect v0 * objects expression to dict * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * added imageai to requirements * add objects to dictionary * update for AnalysisMethod baseline * add objects dection support explore_analysis display * extend python version of misinf to allow imageai * account for older python * use global functionality for dict to csv convert * update for docker build * docker will build now but ipywidgets still not working * test code * include test data folder in repo * add some sample images * load cvs labels to dict * add test data * retrigger checks * add map to human coding * get orders from dict, missing dep * add module to test accuracy * retrigger checks * retrigger checks * now removing imageai * removed imageai * move labelmanager to analyse * multiple faces in mydict * fix pre-commit issues * map mydict * hide imageai * objects default using cvlib, isolate and disable imageai * correct python version * refactor faces tests * refactor objects tests * sonarcloud issues * refactor utils tests * address code smells * update readme * update notebook without imageai Co-authored-by: Ma Xianghe <825074348@qq.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: iulusoy <inga.ulusoy@uni-heidelberg.de>
41 строка
1.2 KiB
Python
41 строка
1.2 KiB
Python
import json
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import pandas as pd
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import misinformation.utils as ut
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def test_find_files():
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result = ut.find_files(
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path="./test/data/", pattern="*.png", recursive=True, limit=10
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)
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assert len(result) > 0
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def test_initialize_dict():
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result = [
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"/test/data/image_faces.jpg",
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"/test/data/image_objects.jpg",
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]
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mydict = ut.initialize_dict(result)
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with open("./test/data/example_utils_init_dict.json", "r") as file:
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out_dict = json.load(file)
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assert mydict == out_dict
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def test_append_data_to_dict():
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with open("./test/data/example_append_data_to_dict_in.json", "r") as file:
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mydict = json.load(file)
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outdict = ut.append_data_to_dict(mydict)
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print(outdict)
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with open("./test/data/example_append_data_to_dict_out.json", "r") as file:
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example_outdict = json.load(file)
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assert outdict == example_outdict
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def test_dump_df():
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with open("./test/data/example_append_data_to_dict_out.json", "r") as file:
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outdict = json.load(file)
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df = ut.dump_df(outdict)
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out_df = pd.read_csv("./test/data/example_dump_df.csv", index_col=[0])
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pd.testing.assert_frame_equal(df, out_df)
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