finish the changes, make sure tests are working

README.md

@@ -166,6 +166,20 @@ Image: test_draw_64x64.jpeg -> QReader: ('https://github.com/Eric-Canas/QReader'
 
 Note that **QReader** internally uses <a href="https://github.com/NaturalHistoryMuseum/pyzbar" target="_blank">pyzbar</a> as **decoder**. The improved **detection-decoding rate** that **QReader** achieves comes from the combination of different image pre-processing techniques and the <a href="https://github.com/ultralytics/ultralytics" target="_blank">YOLOv8</a> based <a href="https://github.com/Eric-Canas/qrdet" target="_blank">**QR** detector</a> that is able to detect **QR** codes in harder conditions than classical _Computer Vision_ methods.
 
+## Running tests
+
+The tests can be launched via pytest. Make sure you install the test version of the package
+
+```bash
+python -m pip install --editable ".[test]"
+```
+
+Then, you can run the tests with
+
+```bash
+python -m pytest tests/
+```
+
 ## Benchmark
 
 ### Rotation Test

setup.py

@@ -22,7 +22,7 @@
         "qrdet>=2.5",
     ],
     extras_require={
-        "tests": ["mypy", "pytest"],
+        "tests": ["mypy", "pytest", "qrcode"],
     },
     classifiers=[
         "Development Status :: 5 - Production/Stable",

main.py → tests/integration/test_qreader.py

@@ -1,17 +1,13 @@
 import os
 
 import cv2
+import qrcode
 from qrdet import BBOX_XYXY
 
 from qreader import QReader
 
-SAMPLE_IMG = os.path.join(
-    os.path.dirname(__file__), "documentation", "resources", "test_draw_64x64.jpeg"
-)
 
-
-def utf_errors_test():
-    import qrcode
+def test_utf_errors():
 
     qreader = QReader(model_size="n")
     image_path = "my_image.png"
@@ -26,10 +22,21 @@ def utf_errors_test():
     print(f"result = {result[0]}")
 
 
-def decode_test_set():
+def test_decode_test_set():
     images = [
-        os.path.join(os.path.dirname(__file__), "testset", filename)
-        for filename in os.listdir(os.path.join(os.path.dirname(__file__), "testset"))
+        os.path.join(
+            os.path.dirname(__file__),
+            "..",
+            "..",
+            "documentation",
+            "resources",
+            filename,
+        )
+        for filename in os.listdir(
+            os.path.join(
+                os.path.dirname(__file__), "..", "..", "documentation", "resources"
+            )
+        )
     ]
     # Initialize QReader
     detector = QReader(model_size="n")
@@ -49,8 +56,3 @@ def decode_test_set():
                 pass
                 # decoded_qrs = detector.detect_and_decode(image=img, return_detections=False)
         print("-------------------")
-
-
-if __name__ == "__main__":
-    utf_errors_test()
-    # decode_test_set()

performance_test.py → tests/preformance/test_performance.py

@@ -8,13 +8,18 @@
 from qreader import QReader
 
 SAMPLE_IMG_1 = os.path.join(
-    os.path.dirname(__file__), "documentation", "resources", "64x64.png"
+    os.path.dirname(__file__), "..", "..", "documentation", "resources", "64x64.png"
 )
 SAMPLE_IMG_2 = os.path.join(
-    os.path.dirname(__file__), "documentation", "resources", "512x512.jpeg"
+    os.path.dirname(__file__), "..", "..", "documentation", "resources", "512x512.jpeg"
 )
 SAMPLE_IMG_3 = os.path.join(
-    os.path.dirname(__file__), "documentation", "resources", "1024x1024.jpeg"
+    os.path.dirname(__file__),
+    "..",
+    "..",
+    "documentation",
+    "resources",
+    "1024x1024.jpeg",
 )
 
 PERFORMANCE_TEST_IAMGES = {
@@ -24,7 +29,8 @@
 }
 RUNS_TO_AVERAGE, WARMUP_ITERATIONS = 5, 5
 
-if __name__ == "__main__":
+
+def test_performance():
     results = {}
     for shape, img_path in tqdm(PERFORMANCE_TEST_IAMGES.items()):
         # Read the image