classification/prepare_classification_script.py [91:146]:
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    commands.append('\n### Cropping ###\n')
    
    # fn = input_files[0]
    for fn in input_files:
    
        input_file_path = fn
        crop_cmd = ''
        
        crop_comment = '\n# Cropping {}\n'.format(fn)
        crop_cmd += crop_comment
        
        crop_cmd += "python crop_detections.py \\\n" + \
        	 input_file_path + ' \\\n' + \
             crop_path + ' \\\n' + \
             '--images-dir "' + image_base + '"' + ' \\\n' + \
             '--detector-version "' + detector_version_str + '"' + ' \\\n' + \
             '--threshold "' + threshold_str + '"' + ' \\\n' + \
             '--square-crops ' + ' \\\n' + \
             '--threads "' + n_threads_str + '"' + ' \\\n' + \
             '--logdir "' + logdir + '"' + ' \\\n' + \
             '\n'
        crop_cmd = '{}'.format(crop_cmd)
        commands.append(crop_cmd)


#%% Run classifier

commands.append('\n### Classifying ###\n')

# fn = input_files[0]
for fn in input_files:

    input_file_path = fn
    classifier_output_path = crop_path + classifier_output_suffix
    
    classify_cmd = ''
    
    classify_comment = '\n# Classifying {}\n'.format(fn)
    classify_cmd += classify_comment
    
    classify_cmd += "python run_classifier.py \\\n" + \
    	 checkpoint_path + ' \\\n' + \
         crop_path + ' \\\n' + \
         classifier_output_path + ' \\\n' + \
         '--detections-json "' + input_file_path + '"' + ' \\\n' + \
         '--classifier-categories "' + classifier_categories_path + '"' + ' \\\n' + \
         '--image-size "' + image_size_str + '"' + ' \\\n' + \
         '--batch-size "' + batch_size_str + '"' + ' \\\n' + \
         '--num-workers "' + num_workers_str + '"' + ' \\\n'
    
    if device_id is not None:
        classify_cmd += '--device {}'.format(device_id)
        
    classify_cmd += '\n\n'    
    classify_cmd = '{}'.format(classify_cmd)
    commands.append(classify_cmd)
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classification/prepare_classification_script_mc.py [89:144]:
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commands.append('\n### Cropping ###\n')

# fn = input_files[0]
for fn in input_files:

    input_file_path = fn
    crop_cmd = ''
    
    crop_comment = '\n# Cropping {}\n'.format(fn)
    crop_cmd += crop_comment
    
    crop_cmd += "python crop_detections.py \\\n" + \
    	 input_file_path + ' \\\n' + \
         crop_path + ' \\\n' + \
         '--images-dir "' + image_base + '"' + ' \\\n' + \
         '--detector-version "' + detector_version_str + '"' + ' \\\n' + \
         '--threshold "' + threshold_str + '"' + ' \\\n' + \
         '--square-crops ' + ' \\\n' + \
         '--threads "' + n_threads_str + '"' + ' \\\n' + \
         '--logdir "' + logdir + '"' + ' \\\n' + \
         '\n'
    crop_cmd = '{}'.format(crop_cmd)
    commands.append(crop_cmd)


#%% Run classifier

commands.append('\n### Classifying ###\n')

# fn = input_files[0]
for fn in input_files:

    input_file_path = fn
    classifier_output_path = crop_path + classifier_output_suffix
    
    classify_cmd = ''
    
    classify_comment = '\n# Classifying {}\n'.format(fn)
    classify_cmd += classify_comment
    
    classify_cmd += "python run_classifier.py \\\n" + \
    	 checkpoint_path + ' \\\n' + \
         crop_path + ' \\\n' + \
         classifier_output_path + ' \\\n' + \
         '--detections-json "' + input_file_path + '"' + ' \\\n' + \
         '--classifier-categories "' + classifier_categories_path + '"' + ' \\\n' + \
         '--image-size "' + image_size_str + '"' + ' \\\n' + \
         '--batch-size "' + batch_size_str + '"' + ' \\\n' + \
         '--num-workers "' + num_workers_str + '"' + ' \\\n'
    
    if device_id is not None:
        classify_cmd += '--device {}'.format(device_id)
        
    classify_cmd += '\n\n'        
    classify_cmd = '{}'.format(classify_cmd)
    commands.append(classify_cmd)
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