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synced 2025-10-30 05:26:05 +02:00
fixed tests
Этот коммит содержится в:
родитель
cc3d7f3aa8
Коммит
7732b802b8
@ -22,7 +22,7 @@ testdict = {
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"pic1": {"filename": "./test/data/pic1.png"},
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"pic1": {"filename": "./test/data/pic1.png"},
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}
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}
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related_error = 1e-3
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related_error = 1e-2
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gpu_is_not_available = not cuda.is_available()
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gpu_is_not_available = not cuda.is_available()
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@ -251,18 +251,18 @@ pre_extracted_feature_text_clip_vitl14_336 = [
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]
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]
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simularity_blip2 = [
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simularity_blip2 = [
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[0.05826476216316223, -0.03215287625789642],
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[0.05826476216316223, -0.02717375010251999],
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[0.12869958579540253, 0.005234059877693653],
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[0.12869958579540253, 0.006344856694340706],
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[0.11073512583971024, 0.12327003479003906],
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[0.11073512583971024, 0.12327021360397339],
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[0.08743024617433548, 0.05598106235265732],
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[0.08743024617433548, 0.058944884687662125],
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[0.04591086134314537, 0.48981112241744995],
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[0.04591086134314537, 0.4905201494693756],
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[0.06297147274017334, 0.4728018641471863],
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[0.06297147274017334, 0.47339022159576416],
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[0.18486255407333374, 0.635167121887207],
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[0.18486255407333374, 0.6350338459014893],
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[0.015356295742094517, 0.015282897278666496],
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[0.015455856919288635, 0.018462061882019043],
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[-0.008485622704029083, 0.010882291942834854],
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[-0.008606988936662674, 0.00741103570908308],
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[-0.04328630864620209, -0.13117870688438416],
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[-0.0415784977376461, -0.1267213076353073],
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[-0.025470387190580368, 0.13175423443317413],
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[-0.025470387190580368, 0.1315656304359436],
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[-0.05090826004743576, 0.05902523919939995],
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[-0.05090826004743576, 0.059172093868255615],
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]
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]
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sorted_blip2 = [
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sorted_blip2 = [
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@ -383,6 +383,16 @@ sorted_clip_vitl14_336 = [
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"pre_sorted",
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"pre_sorted",
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),
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),
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[
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[
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(
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device("cpu"),
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"blip2",
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pre_proc_pic_blip2_blip_albef,
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pre_proc_text_blip2_blip_albef,
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pre_extracted_feature_img_blip2,
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pre_extracted_feature_text_blip2,
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simularity_blip2,
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sorted_blip2,
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),
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pytest.param(
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pytest.param(
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device("cuda"),
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device("cuda"),
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"blip2",
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"blip2",
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@ -56,10 +56,11 @@ def test_init_default_objects():
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def test_analyse_image_from_file_cvlib(get_path):
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def test_analyse_image_from_file_cvlib(get_path):
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file_path = get_path + TEST_IMAGE_1
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file_path = get_path + TEST_IMAGE_1
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objs = ob_cvlib.ObjectCVLib().analyse_image_from_file(get_path + file_path)
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objs = ob_cvlib.ObjectCVLib().analyse_image_from_file(file_path)
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with open(get_path + JSON_1, "r") as file:
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with open(get_path + JSON_1, "r") as file:
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out_dict = json.load(file)
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out_dict = json.load(file)
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out_dict["filename"] = get_path + out_dict["filename"]
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for key in objs.keys():
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for key in objs.keys():
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assert objs[key] == out_dict[key]
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assert objs[key] == out_dict[key]
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@ -86,5 +87,6 @@ def test_analyse_image(get_path):
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ob.ObjectDetector(mydict).analyse_image()
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ob.ObjectDetector(mydict).analyse_image()
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with open(get_path + JSON_1, "r") as file:
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with open(get_path + JSON_1, "r") as file:
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out_dict = json.load(file)
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out_dict = json.load(file)
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out_dict["filename"] = get_path + out_dict["filename"]
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assert str(mydict) == str(out_dict)
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assert str(mydict) == str(out_dict)
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@ -116,7 +116,7 @@ def test_analyse_image():
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"a table that has some chairs on top of it",
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"a table that has some chairs on top of it",
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"a view of a city from a window of a building",
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"a view of a city from a window of a building",
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"a view of a city from a window",
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"a view of a city from a window",
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"a city street filled with lots of traffic",
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"a city street with cars and people on it",
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"an open book with german text on it",
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"an open book with german text on it",
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"a close up of a book on a table",
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"a close up of a book on a table",
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"a book with a green cover on a table",
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"a book with a green cover on a table",
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