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Lambang commited on
Commit
4ca19a4
·
1 Parent(s): c29b885

test

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Files changed (5) hide show
  1. __pycache__/data_preprocess.cpython-39.pyc +0 -0
  2. __pycache__/file_processing.cpython-39.pyc +0 -0
  3. __pycache__/get_load_data.cpython-39.pyc +0 -0
  4. __pycache__/train_pred.cpython-39.pyc +0 -0
  5. main.py +8 -0
__pycache__/data_preprocess.cpython-39.pyc ADDED
Binary file (3.76 kB). View file
 
__pycache__/file_processing.cpython-39.pyc ADDED
Binary file (830 Bytes). View file
 
__pycache__/get_load_data.cpython-39.pyc ADDED
Binary file (3.86 kB). View file
 
__pycache__/train_pred.cpython-39.pyc ADDED
Binary file (7.83 kB). View file
 
main.py CHANGED
@@ -69,6 +69,9 @@ def preprocessing(filepath):
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  shutil.rmtree(folder_path)
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  os.mkdir(folder_path)
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  # data_processor.detect_landmark(data_processor.face_cropping_pred(filepath))
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  data_processor.enhance_contrast_histeq(data_processor.face_cropping_pred(filepath))
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@@ -119,3 +122,8 @@ async def upload_file(picture: UploadFile):
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  # urls.append(url)
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  # bentuk, persentase = data_train_pred.prediction(selected_model)
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  # return {'urls': urls, 'bentuk_wajah':bentuk[0], 'persen':persentase}
 
 
 
 
 
 
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  shutil.rmtree(folder_path)
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  os.mkdir(folder_path)
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+ cv2.imwrite("./static/test_upload.jpg", filepath)
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+
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+
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  # data_processor.detect_landmark(data_processor.face_cropping_pred(filepath))
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  data_processor.enhance_contrast_histeq(data_processor.face_cropping_pred(filepath))
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  # urls.append(url)
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  # bentuk, persentase = data_train_pred.prediction(selected_model)
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  # return {'urls': urls, 'bentuk_wajah':bentuk[0], 'persen':persentase}
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+
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+ # if __name__ == '__main__':
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+ # import uvicorn
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+ # print(f' * Running on {public_url}')
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+ # uvicorn.run(app, host="0.0.0.0", port=8080)