Update app_pages/ocr_comparator.py
Browse files- app_pages/ocr_comparator.py +10 -6
app_pages/ocr_comparator.py
CHANGED
@@ -626,9 +626,6 @@ def app():
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##
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# Create results data frame
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print("list_text_easyocr : ", list_text_easyocr)
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print("list_text_ppocr : ", list_text_ppocr)
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print("lens : ", len(list_cropped_images))
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out_df_results = pd.DataFrame({'cropped_image': list_cropped_images,
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'text_easyocr': list_text_easyocr,
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'confidence_easyocr': list_confidence_easyocr,
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@@ -665,7 +662,8 @@ def app():
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## ------- EasyOCR Text recognition
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try:
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step = 0*len(in_list_images) # first recognition process
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nb_steps = 4 * len(in_list_images)
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for ind_img, cropped in enumerate(in_list_images):
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result = _in_reader_easyocr.recognize(cropped, **in_params)
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try:
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@@ -702,7 +700,8 @@ def app():
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try:
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reader_ppocr = PaddleOCR(**in_params)
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step = 1*len(in_list_images) # second recognition process
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nb_steps = 4 * len(in_list_images)
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progress_bar = st.progress(step/nb_steps)
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for ind_img, cropped in enumerate(in_list_images):
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@@ -778,7 +777,8 @@ def app():
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"""
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## ------- Tesseract Text recognition
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step = 3*in_nb_images # fourth recognition process
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nb_steps = 4 * in_nb_images
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progress_bar = st.progress(step/nb_steps)
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try:
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@@ -874,6 +874,10 @@ def app():
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column_width = 400
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for ind_lig in range(0, reco_lines+1, 2):
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cols = st.columns(2)
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for ind_col in range(2):
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ind = ind_lig + ind_col
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if ind < len(in_reader_type_list):
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##
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# Create results data frame
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out_df_results = pd.DataFrame({'cropped_image': list_cropped_images,
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'text_easyocr': list_text_easyocr,
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'confidence_easyocr': list_confidence_easyocr,
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## ------- EasyOCR Text recognition
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try:
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step = 0*len(in_list_images) # first recognition process
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#nb_steps = 4 * len(in_list_images)
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nb_steps = 3 * len(in_list_images)
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for ind_img, cropped in enumerate(in_list_images):
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result = _in_reader_easyocr.recognize(cropped, **in_params)
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try:
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try:
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reader_ppocr = PaddleOCR(**in_params)
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step = 1*len(in_list_images) # second recognition process
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#nb_steps = 4 * len(in_list_images)
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nb_steps = 3 * len(in_list_images)
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progress_bar = st.progress(step/nb_steps)
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for ind_img, cropped in enumerate(in_list_images):
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"""
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## ------- Tesseract Text recognition
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step = 3*in_nb_images # fourth recognition process
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#nb_steps = 4 * in_nb_images
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nb_steps = 3 * in_nb_images
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progress_bar = st.progress(step/nb_steps)
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try:
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column_width = 400
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for ind_lig in range(0, reco_lines+1, 2):
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cols = st.columns(2)
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# test
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cols[0].markdown('col 0')
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cols[1].markdown('col 1')
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#
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for ind_col in range(2):
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ind = ind_lig + ind_col
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if ind < len(in_reader_type_list):
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