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This repository was archived by the owner on Oct 8, 2023. It is now read-only.

Sourcery refactored main branch#1

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sourcery-ai[bot] wants to merge 1 commit intomainfrom
sourcery/main
Open

Sourcery refactored main branch#1
sourcery-ai[bot] wants to merge 1 commit intomainfrom
sourcery/main

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@sourcery-ai sourcery-ai bot commented Oct 8, 2023

Branch main refactored by Sourcery.

If you're happy with these changes, merge this Pull Request using the Squash and merge strategy.

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git fetch origin sourcery/main
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@sourcery-ai sourcery-ai bot requested a review from StarkGang October 8, 2023 15:14
ss = ""
for sentence in sentences:
ss += sentence + "\n"
ss = "".join(sentence + "\n" for sentence in sentences)
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Function TextDetectorGUI.update refactored with the following changes:

  • Use str.join() instead of for loop (use-join)

Comment on lines -168 to +173
filename = os.path.join("./known_faces/", name + ".jpg")
filename = os.path.join("./known_faces/", f"{name}.jpg")
if os.path.exists(filename):
return tk.messagebox.showerror(
"Error", "A face with this name already exists."
)
# Show a pop-up message
resp = tk.messagebox.askokcancel(
if resp := tk.messagebox.askokcancel(
"Cheese", "Smile for the camera! Click OK to click and image."
)
if resp:
):
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Function SaveFaceGUI.save_face refactored with the following changes:

This removes the following comments ( why? ):

# Show a pop-up message

Comment on lines -13 to +16
data_dir + "/shape_predictor_68_face_landmarks.dat"
f"{data_dir}/shape_predictor_68_face_landmarks.dat"
)
face_recognition_model = dlib.face_recognition_model_v1(
data_dir + "/dlib_face_recognition_resnet_model_v1.dat"
f"{data_dir}/dlib_face_recognition_resnet_model_v1.dat"
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Lines 13-16 refactored with the following changes:

return person_names[min_index] + " ({0:.2f})".format(min_value)
if min_value < 0.65:
return person_names[min_index] + "?" + " ({0:.2f})".format(min_value)
return f"{person_names[min_index]}?" + " ({0:.2f})".format(min_value)
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Function find_match refactored with the following changes:

def recognize_faces_in_frame(frame):
faceClassifier = cv2.CascadeClassifier(
data_dir + "/haarcascade_frontalface_default.xml"
f"{data_dir}/haarcascade_frontalface_default.xml"
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Function recognize_faces_in_frame refactored with the following changes:

Comment on lines -55 to +57
data = []
image = Image.fromarray(img)
image = image.resize((30, 30))
data.append(np.array(image))
data = [np.array(image)]
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Function image_processing refactored with the following changes:

sentences = [" ".join(s) for s in sentences]

return sentences
return [" ".join(s) for s in sentences]
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Function group_words_to_sentences refactored with the following changes:

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