AMMICO/misinformation/test/test_objects.py
Inga Ulusoy b585097f19
remove obsolete features (#48)
* reduce code smells

* account for transl. version change

* remove print statements

* remove imageai
2022-12-31 22:15:40 +01:00

91 строка
2.3 KiB
Python

import json
import pytest
import misinformation.objects as ob
import misinformation.objects_cvlib as ob_cvlib
OBJECT_1 = "cell phone"
OBJECT_2 = "motorcycle"
OBJECT_3 = "traffic light"
TEST_IMAGE_1 = "./test/data/IMG_2809.png"
JSON_1 = "./test/data/example_objects_cvlib.json"
@pytest.fixture()
def default_objects():
return ob.init_default_objects()
def test_objects_from_cvlib(default_objects):
objects_list = [OBJECT_1, OBJECT_2, OBJECT_3]
objects = ob_cvlib.objects_from_cvlib(objects_list)
out_objects = default_objects
for obj in objects_list:
out_objects[obj] = "yes"
assert str(objects) == str(out_objects)
def test_analyse_image_cvlib():
mydict = {"filename": TEST_IMAGE_1}
ob_cvlib.ObjectCVLib().analyse_image(mydict)
with open(JSON_1, "r") as file:
out_dict = json.load(file)
for key in mydict.keys():
assert mydict[key] == out_dict[key]
def test_init_default_objects():
default_obj_list = [
"person",
"bicycle",
"car",
OBJECT_2,
"airplane",
"bus",
"train",
"truck",
"boat",
OBJECT_3,
OBJECT_1,
]
init_objects = ob_cvlib.init_default_objects()
for obj in default_obj_list:
assert init_objects[obj] == "no"
def test_analyse_image_from_file_cvlib():
file_path = TEST_IMAGE_1
objs = ob_cvlib.ObjectCVLib().analyse_image_from_file(file_path)
with open(JSON_1, "r") as file:
out_dict = json.load(file)
for key in objs.keys():
assert objs[key] == out_dict[key]
def test_detect_objects_cvlib():
file_path = TEST_IMAGE_1
objs = ob_cvlib.ObjectCVLib().detect_objects_cvlib(file_path)
with open(JSON_1, "r") as file:
out_dict = json.load(file)
for key in objs.keys():
assert objs[key] == out_dict[key]
def test_set_keys(default_objects):
mydict = {"filename": TEST_IMAGE_1}
key_objs = ob.ObjectDetector(mydict).set_keys()
assert str(default_objects) == str(key_objs)
def test_analyse_image():
mydict = {"filename": TEST_IMAGE_1}
ob.ObjectDetector.set_client_to_cvlib()
ob.ObjectDetector(mydict).analyse_image()
with open(JSON_1, "r") as file:
out_dict = json.load(file)
assert str(mydict) == str(out_dict)