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