qurator-spk/eynollah
1
0
Fork 0
mirror of https://github.com/qurator-spk/eynollah.git synced 2025-10-06 22:50:14 +02:00
Code Issues Projects Releases Wiki Activity

convert all print stmts to logger.info calls

Browse source
This commit is contained in:
kba 2025-09-18 13:15:18 +02:00
parent c64d102613
commit 146102842a
1 changed files with 56 additions and 167 deletions
Download patch file Download diff file Expand all files Collapse all files

223
src/eynollah/eynollah.py
View file

@ -312,9 +312,7 @@ class Eynollah:
except: except:
self.logger.warning("no GPU device available") self.logger.warning("no GPU device available")
msg = "Loading models..." self.logger.info("Loading models...")
print(msg)
self.logger.info(msg)
self.model_page = self.our_load_model(self.model_page_dir) self.model_page = self.our_load_model(self.model_page_dir)
self.model_classifier = self.our_load_model(self.model_dir_of_col_classifier) self.model_classifier = self.our_load_model(self.model_dir_of_col_classifier)
@ -343,9 +341,7 @@ class Eynollah:
if self.tables: if self.tables:
self.model_table = self.our_load_model(self.model_table_dir) self.model_table = self.our_load_model(self.model_table_dir)
msg = f"Model initialization complete ({time.time() - t_start:.1f}s)" self.logger.info(f"Model initialization complete ({time.time() - t_start:.1f}s)")
print(msg)
self.logger.info(msg)
def cache_images(self, image_filename=None, image_pil=None, dpi=None): def cache_images(self, image_filename=None, image_pil=None, dpi=None):
ret = {} ret = {}
@ -3453,7 +3449,7 @@ class Eynollah:
peaks_real, _ = find_peaks(sum_smoothed, height=0) peaks_real, _ = find_peaks(sum_smoothed, height=0)
if len(peaks_real)>70: if len(peaks_real)>70:
print(len(peaks_real), 'len(peaks_real)') self.logger.debug(f'len(peaks_real) = {len(peaks_real)}')
peaks_real = peaks_real[(peaks_real<width2) & (peaks_real>width1)] peaks_real = peaks_real[(peaks_real<width2) & (peaks_real>width1)]
@ -4302,14 +4298,11 @@ class Eynollah:
if dir_in: if dir_in:
self.logger.info("All jobs done in %.1fs", time.time() - t0_tot) self.logger.info("All jobs done in %.1fs", time.time() - t0_tot)
print("all Job done in %.1fs", time.time() - t0_tot)
def run_single(self): def run_single(self):
t0 = time.time() t0 = time.time()
msg = f"Processing file: {self.writer.image_filename}" self.logger.info(f"Processing file: {self.writer.image_filename}")
print(msg)
self.logger.info(msg)
# Log enabled features directly # Log enabled features directly
enabled_modes = [] enabled_modes = []
@ -4325,35 +4318,23 @@ class Eynollah:
enabled_modes.append("Table detection") enabled_modes.append("Table detection")
if enabled_modes: if enabled_modes:
msg = "Enabled modes: " + ", ".join(enabled_modes) self.logger.info("Enabled modes: " + ", ".join(enabled_modes))
print(msg)
self.logger.info(msg)
msg = "Step 1/5: Image Enhancement" self.logger.info("Step 1/5: Image Enhancement")
print(msg)
self.logger.info(msg)
img_res, is_image_enhanced, num_col_classifier, num_column_is_classified = self.run_enhancement(self.light_version) img_res, is_image_enhanced, num_col_classifier, num_column_is_classified = self.run_enhancement(self.light_version)
msg = f"Image: {self.image.shape[1]}x{self.image.shape[0]}, {self.dpi} DPI, {num_col_classifier} columns" self.logger.info(f"Image: {self.image.shape[1]}x{self.image.shape[0]}, {self.dpi} DPI, {num_col_classifier} columns")
print(msg)
self.logger.info(msg)
if is_image_enhanced: if is_image_enhanced:
msg = "Enhancement applied" self.logger.info("Enhancement applied")
print(msg)
self.logger.info(msg)
msg = f"Enhancement complete ({time.time() - t0:.1f}s)" self.logger.info(f"Enhancement complete ({time.time() - t0:.1f}s)")
print(msg)
self.logger.info(msg)
# Image Extraction Mode # Image Extraction Mode
if self.extract_only_images: if self.extract_only_images:
msg = "Step 2/5: Image Extraction Mode" self.logger.info("Step 2/5: Image Extraction Mode")
print(msg)
self.logger.info(msg)
text_regions_p_1, erosion_hurts, polygons_lines_xml, polygons_of_images, image_page, page_coord, cont_page = \ text_regions_p_1, erosion_hurts, polygons_lines_xml, polygons_of_images, image_page, page_coord, cont_page = \
self.get_regions_light_v_extract_only_images(img_res, is_image_enhanced, num_col_classifier) self.get_regions_light_v_extract_only_images(img_res, is_image_enhanced, num_col_classifier)
@ -4367,19 +4348,13 @@ class Eynollah:
if self.plotter: if self.plotter:
self.plotter.write_images_into_directory(polygons_of_images, image_page) self.plotter.write_images_into_directory(polygons_of_images, image_page)
msg = "Image extraction complete" self.logger.info("Image extraction complete")
print(msg)
self.logger.info(msg)
return pcgts return pcgts
# Basic Processing Mode # Basic Processing Mode
if self.skip_layout_and_reading_order: if self.skip_layout_and_reading_order:
msg = "Step 2/5: Basic Processing Mode" self.logger.info("Step 2/5: Basic Processing Mode")
print(msg) self.logger.info("Skipping layout analysis and reading order detection")
self.logger.info(msg)
msg = "Skipping layout analysis and reading order detection"
print(msg)
self.logger.info(msg)
_ ,_, _, textline_mask_tot_ea, img_bin_light, _ = \ _ ,_, _, textline_mask_tot_ea, img_bin_light, _ = \
self.get_regions_light_v(img_res, is_image_enhanced, num_col_classifier, self.get_regions_light_v(img_res, is_image_enhanced, num_col_classifier,
@ -4421,21 +4396,15 @@ class Eynollah:
all_found_textline_polygons, page_coord, polygons_of_images, polygons_of_marginals, all_found_textline_polygons, page_coord, polygons_of_images, polygons_of_marginals,
all_found_textline_polygons_marginals, all_box_coord_marginals, slopes, slopes_marginals, all_found_textline_polygons_marginals, all_box_coord_marginals, slopes, slopes_marginals,
cont_page, polygons_lines_xml, contours_tables, ocr_all_textlines, conf_contours_textregions) cont_page, polygons_lines_xml, contours_tables, ocr_all_textlines, conf_contours_textregions)
msg = "Basic processing complete" self.logger.info("Basic processing complete")
print(msg)
self.logger.info(msg)
return pcgts return pcgts
#print("text region early -1 in %.1fs", time.time() - t0) #print("text region early -1 in %.1fs", time.time() - t0)
t1 = time.time() t1 = time.time()
msg = "Step 2/5: Layout Analysis" self.logger.info("Step 2/5: Layout Analysis")
print(msg)
self.logger.info(msg)
if self.light_version: if self.light_version:
msg = "Using light version processing" self.logger.info("Using light version processing")
print(msg)
self.logger.info(msg)
text_regions_p_1 ,erosion_hurts, polygons_lines_xml, textline_mask_tot_ea, img_bin_light, confidence_matrix = \ text_regions_p_1 ,erosion_hurts, polygons_lines_xml, textline_mask_tot_ea, img_bin_light, confidence_matrix = \
self.get_regions_light_v(img_res, is_image_enhanced, num_col_classifier) self.get_regions_light_v(img_res, is_image_enhanced, num_col_classifier)
#print("text region early -2 in %.1fs", time.time() - t0) #print("text region early -2 in %.1fs", time.time() - t0)
@ -4466,29 +4435,21 @@ class Eynollah:
text_regions_p_1 ,erosion_hurts, polygons_lines_xml = \ text_regions_p_1 ,erosion_hurts, polygons_lines_xml = \
self.get_regions_from_xy_2models(img_res, is_image_enhanced, self.get_regions_from_xy_2models(img_res, is_image_enhanced,
num_col_classifier) num_col_classifier)
msg = f"Textregion detection took {time.time() - t1:.1f}s" self.logger.info(f"Textregion detection took {time.time() - t1:.1f}s")
print(msg)
self.logger.info(msg)
confidence_matrix = np.zeros((text_regions_p_1.shape[:2])) confidence_matrix = np.zeros((text_regions_p_1.shape[:2]))
t1 = time.time() t1 = time.time()
num_col, num_col_classifier, img_only_regions, page_coord, image_page, mask_images, mask_lines, \ num_col, num_col_classifier, img_only_regions, page_coord, image_page, mask_images, mask_lines, \
text_regions_p_1, cont_page, table_prediction = \ text_regions_p_1, cont_page, table_prediction = \
self.run_graphics_and_columns(text_regions_p_1, num_col_classifier, num_column_is_classified, erosion_hurts) self.run_graphics_and_columns(text_regions_p_1, num_col_classifier, num_column_is_classified, erosion_hurts)
msg = f"Graphics detection took {time.time() - t1:.1f}s" self.logger.info(f"Graphics detection took {time.time() - t1:.1f}s")
print(msg)
self.logger.info(msg)
#self.logger.info('cont_page %s', cont_page) #self.logger.info('cont_page %s', cont_page)
#plt.imshow(table_prediction) #plt.imshow(table_prediction)
#plt.show() #plt.show()
msg = f"Layout analysis complete ({time.time() - t1:.1f}s)" self.logger.info(f"Layout analysis complete ({time.time() - t1:.1f}s)")
print(msg)
self.logger.info(msg)
if not num_col: if not num_col:
msg = "No columns detected - generating empty PAGE-XML" self.logger.info("No columns detected - generating empty PAGE-XML")
print(msg)
self.logger.info(msg)
ocr_all_textlines = None ocr_all_textlines = None
pcgts = self.writer.build_pagexml_no_full_layout( pcgts = self.writer.build_pagexml_no_full_layout(
@ -4500,18 +4461,12 @@ class Eynollah:
t1 = time.time() t1 = time.time()
if not self.light_version: if not self.light_version:
textline_mask_tot_ea = self.run_textline(image_page) textline_mask_tot_ea = self.run_textline(image_page)
msg = f"Textline detection took {time.time() - t1:.1f}s" self.logger.info(f"Textline detection took {time.time() - t1:.1f}s")
print(msg)
self.logger.info(msg)
t1 = time.time() t1 = time.time()
slope_deskew, slope_first = self.run_deskew(textline_mask_tot_ea) slope_deskew, slope_first = self.run_deskew(textline_mask_tot_ea)
if np.abs(slope_deskew) > 0.01: # Only log if there is significant skew if np.abs(slope_deskew) > 0.01: # Only log if there is significant skew
msg = f"Applied deskew correction: {slope_deskew:.2f} degrees" self.logger.info(f"Applied deskew correction: {slope_deskew:.2f} degrees")
print(msg) self.logger.info(f"Deskewing took {time.time() - t1:.1f}s")
self.logger.info(msg)
msg = f"Deskewing took {time.time() - t1:.1f}s"
print(msg)
self.logger.info(msg)
elif num_col_classifier in (1,2): elif num_col_classifier in (1,2):
org_h_l_m = textline_mask_tot_ea.shape[0] org_h_l_m = textline_mask_tot_ea.shape[0]
org_w_l_m = textline_mask_tot_ea.shape[1] org_w_l_m = textline_mask_tot_ea.shape[1]
@ -4532,18 +4487,12 @@ class Eynollah:
self.run_marginals(image_page, textline_mask_tot_ea, mask_images, mask_lines, self.run_marginals(image_page, textline_mask_tot_ea, mask_images, mask_lines,
num_col_classifier, slope_deskew, text_regions_p_1, table_prediction) num_col_classifier, slope_deskew, text_regions_p_1, table_prediction)
msg = "Step 3/5: Text Line Detection" self.logger.info("Step 3/5: Text Line Detection")
print(msg)
self.logger.info(msg)
if self.curved_line: if self.curved_line:
msg = "Mode: Curved line detection" self.logger.info("Mode: Curved line detection")
print(msg)
self.logger.info(msg)
elif self.textline_light: elif self.textline_light:
msg = "Mode: Light detection" self.logger.info("Mode: Light detection")
print(msg)
self.logger.info(msg)
if self.light_version and num_col_classifier in (1,2): if self.light_version and num_col_classifier in (1,2):
image_page = resize_image(image_page,org_h_l_m, org_w_l_m ) image_page = resize_image(image_page,org_h_l_m, org_w_l_m )
@ -4554,9 +4503,7 @@ class Eynollah:
table_prediction = resize_image(table_prediction,org_h_l_m, org_w_l_m ) table_prediction = resize_image(table_prediction,org_h_l_m, org_w_l_m )
image_page_rotated = resize_image(image_page_rotated,org_h_l_m, org_w_l_m ) image_page_rotated = resize_image(image_page_rotated,org_h_l_m, org_w_l_m )
msg = f"Detection of marginals took {time.time() - t1:.1f}s" self.logger.info(f"Detection of marginals took {time.time() - t1:.1f}s")
print(msg)
self.logger.info(msg)
#print("text region early 2 marginal in %.1fs", time.time() - t0) #print("text region early 2 marginal in %.1fs", time.time() - t0)
## birdan sora chock chakir ## birdan sora chock chakir
t1 = time.time() t1 = time.time()
@ -4655,9 +4602,7 @@ class Eynollah:
cx_bigest_d_big[0] = cx_bigest_d[ind_largest] cx_bigest_d_big[0] = cx_bigest_d[ind_largest]
cy_biggest_d_big[0] = cy_biggest_d[ind_largest] cy_biggest_d_big[0] = cy_biggest_d[ind_largest]
except Exception as why: except Exception as why:
msg = str(why) self.logger.error(str(why))
print(f"Error: {msg}")
self.logger.error(msg)
(h, w) = text_only.shape[:2] (h, w) = text_only.shape[:2]
center = (w // 2.0, h // 2.0) center = (w // 2.0, h // 2.0)
@ -4875,22 +4820,14 @@ class Eynollah:
t_order = time.time() t_order = time.time()
if self.full_layout: if self.full_layout:
msg = "Step 4/5: Reading Order Detection" self.logger.info(ep 4/5: Reading Order Detection")
print(msg)
self.logger.info(msg)
if self.reading_order_machine_based: if self.reading_order_machine_based:
msg = "Using machine-based detection" self.logger.info("Using machine-based detection")
print(msg)
self.logger.info(msg)
if self.right2left: if self.right2left:
msg = "Right-to-left mode enabled" self.logger.info("Right-to-left mode enabled")
print(msg)
self.logger.info(msg)
if self.headers_off: if self.headers_off:
msg = "Headers ignored in reading order" self.logger.info("Headers ignored in reading order")
print(msg)
self.logger.info(msg)
if self.reading_order_machine_based: if self.reading_order_machine_based:
order_text_new, id_of_texts_tot = self.do_order_of_regions_with_model( order_text_new, id_of_texts_tot = self.do_order_of_regions_with_model(
@ -4902,31 +4839,21 @@ class Eynollah:
else: else:
order_text_new, id_of_texts_tot = self.do_order_of_regions( order_text_new, id_of_texts_tot = self.do_order_of_regions(
contours_only_text_parent_d_ordered, contours_only_text_parent_h_d_ordered, boxes_d, textline_mask_tot_d) contours_only_text_parent_d_ordered, contours_only_text_parent_h_d_ordered, boxes_d, textline_mask_tot_d)
msg = f"Detection of reading order took {time.time() - t_order:.1f}s" self.logger.info(f"Detection of reading order took {time.time() - t_order:.1f}s")
print(msg)
self.logger.info(msg)
if self.ocr: if self.ocr:
msg = "Step 4.5/5: OCR Processing" self.logger.info("Step 4.5/5: OCR Processing")
print(msg)
self.logger.info(msg)
if torch.cuda.is_available(): if torch.cuda.is_available():
msg = "Using GPU acceleration" self.logger.info("Using GPU acceleration")
print(msg)
self.logger.info(msg)
else: else:
msg = "Using CPU processing" self.logger.info("Using CPU processing")
print(msg)
self.logger.info(msg)
ocr_all_textlines = [] ocr_all_textlines = []
else: else:
ocr_all_textlines = None ocr_all_textlines = None
msg = "Step 5/5: Output Generation" self.logger.info("Step 5/5: Output Generation")
print(msg)
self.logger.info(msg)
output_config = [] output_config = []
if self.enable_plotting: if self.enable_plotting:
@ -4963,22 +4890,14 @@ class Eynollah:
return pcgts return pcgts
contours_only_text_parent_h = None contours_only_text_parent_h = None
msg = "Step 4/5: Reading Order Detection" self.logger.info("Step 4/5: Reading Order Detection")
print(msg)
self.logger.info(msg)
if self.reading_order_machine_based: if self.reading_order_machine_based:
msg = "Using machine-based detection" self.logger.info("Using machine-based detection")
print(msg)
self.logger.info(msg)
if self.right2left: if self.right2left:
msg = "Right-to-left mode enabled" self.logger.info("Right-to-left mode enabled")
print(msg)
self.logger.info(msg)
if self.headers_off: if self.headers_off:
msg = "Headers ignored in reading order" self.logger.info("Headers ignored in reading order")
print(msg)
self.logger.info(msg)
if self.reading_order_machine_based: if self.reading_order_machine_based:
order_text_new, id_of_texts_tot = self.do_order_of_regions_with_model( order_text_new, id_of_texts_tot = self.do_order_of_regions_with_model(
@ -5000,32 +4919,20 @@ class Eynollah:
contours_only_text_parent_d_ordered, contours_only_text_parent_h, boxes_d, textline_mask_tot_d) contours_only_text_parent_d_ordered, contours_only_text_parent_h, boxes_d, textline_mask_tot_d)
if self.ocr: if self.ocr:
msg = "Step 4.5/5: OCR Processing" self.logger.info("Step 4.5/5: OCR Processing")
print(msg)
self.logger.info(msg)
if torch.cuda.is_available(): if torch.cuda.is_available():
msg = "Using GPU acceleration" self.logger.info("Using GPU acceleration")
print(msg)
self.logger.info(msg)
else: else:
msg = "Using CPU processing" self.logger.info("Using CPU processing")
print(msg)
self.logger.info(msg)
if self.light_version: if self.light_version:
msg = "Using light version OCR" self.logger.info("Using light version OCR")
print(msg)
self.logger.info(msg)
if self.textline_light: if self.textline_light:
msg = "Using light text line detection for OCR" self.logger.info("Using light text line detection for OCR")
print(msg)
self.logger.info(msg)
msg = "Processing text lines..." self.logger.info("Processing text lines...")
print(msg)
self.logger.info(msg)
device = cuda.get_current_device() device = cuda.get_current_device()
device.reset() device.reset()
@ -5077,37 +4984,23 @@ class Eynollah:
else: else:
ocr_all_textlines = None ocr_all_textlines = None
#print(ocr_all_textlines) #print(ocr_all_textlines)
msg = f"Detection of reading order took {time.time() - t_order:.1f}s" self.logger.info(f"Detection of reading order took {time.time() - t_order:.1f}s")
print(msg)
self.logger.info(msg)
msg = "Step 5/5: Output Generation" self.logger.info("Step 5/5: Output Generation")
print(msg)
self.logger.info(msg)
msg = "Generating PAGE-XML output" self.logger.info("Generating PAGE-XML output")
print(msg)
self.logger.info(msg)
if self.enable_plotting: if self.enable_plotting:
msg = "Saving debug plots" self.logger.info("Saving debug plots")
print(msg)
self.logger.info(msg)
if self.dir_of_cropped_images: if self.dir_of_cropped_images:
msg = f"Saving cropped images to: {self.dir_of_cropped_images}" self.logger.info(f"Saving cropped images to: {self.dir_of_cropped_images}")
print(msg)
self.logger.info(msg)
if self.dir_of_layout: if self.dir_of_layout:
msg = f"Saving layout plots to: {self.dir_of_layout}" self.logger.info(f"Saving layout plots to: {self.dir_of_layout}")
print(msg)
self.logger.info(msg)
if self.dir_of_deskewed: if self.dir_of_deskewed:
msg = f"Saving deskewed images to: {self.dir_of_deskewed}" self.logger.info(f"Saving deskewed images to: {self.dir_of_deskewed}")
print(msg)
self.logger.info(msg)
pcgts = self.writer.build_pagexml_no_full_layout( pcgts = self.writer.build_pagexml_no_full_layout(
txt_con_org, page_coord, order_text_new, id_of_texts_tot, txt_con_org, page_coord, order_text_new, id_of_texts_tot,
@ -5115,13 +5008,9 @@ class Eynollah:
all_found_textline_polygons_marginals, all_box_coord_marginals, slopes, slopes_marginals, all_found_textline_polygons_marginals, all_box_coord_marginals, slopes, slopes_marginals,
cont_page, polygons_lines_xml, contours_tables, ocr_all_textlines, conf_contours_textregions) cont_page, polygons_lines_xml, contours_tables, ocr_all_textlines, conf_contours_textregions)
msg = f"\nProcessing completed in {time.time() - t0:.1f}s" self.logger.info(f"\nProcessing completed in {time.time() - t0:.1f}s")
print(msg)
self.logger.info(msg)
msg = f"Output file: {self.writer.output_filename}" self.logger.info(f"Output file: {self.writer.output_filename}")
print(msg)
self.logger.info(msg)
return pcgts return pcgts