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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>
26 строки
736 B
Python
26 строки
736 B
Python
import misinformation.faces as fc
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import json
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def test_analyse_faces():
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mydict = {
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"filename": "./test/data/IMG_2746.png",
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}
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mydict = fc.EmotionDetector(mydict).analyse_image()
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print(mydict)
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with open("./test/data/example_faces.json", "r") as file:
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out_dict = json.load(file)
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for key in mydict.keys():
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if key != "emotion":
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assert mydict[key] == out_dict[key]
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# json can't handle tuples natively
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for i in range(0, len(mydict["emotion"])):
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temp = (
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list(mydict["emotion"][i])
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if type(mydict["emotion"][i]) == tuple
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else mydict["emotion"][i]
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)
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assert temp == out_dict["emotion"][i]
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