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threshold

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Sefik Ilkin Serengil 2022-01-13 14:48:00 +03:00 committed by GitHub
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commit 52f926326d
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1 changed files with 5 additions and 5 deletions
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tests/unit_tests.py
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@ -213,7 +213,7 @@ for model in models:
prediction = resp_obj["verified"] prediction = resp_obj["verified"]
distance = round(resp_obj["distance"], 2) distance = round(resp_obj["distance"], 2)
required_threshold = resp_obj["max_threshold_to_verify"] threshold = resp_obj["threshold"]
test_result_label = "failed" test_result_label = "failed"
if prediction == result: if prediction == result:
@ -227,7 +227,7 @@ for model in models:
test_cases = test_cases + 1 test_cases = test_cases + 1
print(img1.split("/")[-1], "-", img2.split("/")[-1], classified_label, "as same person based on", model,"and",metric,". Distance:",distance,", Threshold:", required_threshold,"(",test_result_label,")") print(img1.split("/")[-1], "-", img2.split("/")[-1], classified_label, "as same person based on", model,"and",metric,". Distance:",distance,", Threshold:", threshold,"(",test_result_label,")")
print("--------------------------") print("--------------------------")
@ -235,15 +235,15 @@ for model in models:
print("Passed unit tests: ",passed_tests," / ",test_cases) print("Passed unit tests: ",passed_tests," / ",test_cases)
threshold = 70 min_score = 70
accuracy = 100 * passed_tests / test_cases accuracy = 100 * passed_tests / test_cases
accuracy = round(accuracy, 2) accuracy = round(accuracy, 2)
if accuracy >= threshold: if accuracy >= min_score:
print("Unit tests are completed successfully. Score: ",accuracy,"%") print("Unit tests are completed successfully. Score: ",accuracy,"%")
else: else:
raise ValueError("Unit test score does not satisfy the minimum required accuracy. Minimum expected score is ",threshold,"% but this got ",accuracy,"%") raise ValueError("Unit test score does not satisfy the minimum required accuracy. Minimum expected score is ", min_score,"% but this got ",accuracy,"%")
#----------------------------------- #-----------------------------------
#----------------------------------- #-----------------------------------