Delete mic_extractor_sortem.py

mic_extractor_sortem.py

-import tensorflow as tf 
-import numpy as np
-import mrcfile
-output_path = '/emcc/misser11/out_optics_dub_stack.star'
-output_dir = 
-input_star = '/emcc/misser11/out_optics_dub.star'
-
-def open_star_file():
-
-
-
-
-def make_star_file():
-
-
-def load_big_micrograph(image_path):
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-
-def extract_particles(image,x_min,y_min,box_size):
-    zeros = tf.zeros(tf.shape(x_min)[0])
-    image_stack = tf.image.crop_and_resize(image,[y_min,x_min,y_min+box_size,x_min+box_size],zeros,[box_size,box_size])
-
-
-
-with mrcfile.new('pa', compression='bzip2') as mrc:
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-
-
-for i in range(mrc_paths)
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-
-
-
-star_file = 'out_optics_dub.star'
-def get_star_file_parameters(star_files):
-       
-        
-           
-            
-                 
-                    with open(star_files, newline='') as csvfile:
-
-
-                  
-                        reader = list(csvfile)
-
-                        header = list(filter(lambda x: ('_rln' == x[0:4] or 'loop_' == x.strip()) and '_rlnMicrographName' not in x,reader))
-                                
-                  
-                        header = [i.split()[0] for i in header]
-                     
-                        header =  ['_rlnImageName'] + header[1:]
-                  
-                        index = 1
-                        with open('out_star.star', 'w') as cv:
-                            out = []
-                            for i in reader:
-                           
-                                if len(header) == len(i.split()):
-                                    i = i.split(' ')
-                                    new_i =  [str("%06d@emcc/misser11/New_Project/Assets/ParticleStacks/particle_stack_1.mrc") % (index,)] +i[1:]
-                                    out.append(new_i)
-                                    index +=1
-                            cv.write('data_images\n')
-                            cv.write('\n')
-                            cv.write('loop_\n')
-                            for i in header:
-                                cv.write(i+'\n')
-                            cv.write('\n')
-
-                            for i in out:
-                              cv.write(' '.join(i))
-
-
-
-get_star_file_parameters(star_f
\ No newline at end of file