Loading GraphMaker.ipynb +362 −18 File changed.Preview size limit exceeded, changes collapsed. Show changes WorkingPyDemo.py +10 −8 Original line number Original line Diff line number Diff line Loading @@ -204,7 +204,8 @@ def make_dictionary(tiff_image_path_list, num_bins=4, difference = True): # plt.ylabel('Frequency') # plt.ylabel('Frequency') # plt.title('Histogram of Pixel Values') # plt.title('Histogram of Pixel Values') # plt.show() # plt.show() bins = [21,32,48] bins = [29,44,67] # get the boundary # get the boundary boundary = np.hstack((image_array[0,:],image_array[-1,:],image_array[1:-1,0],image_array[1:-1,-1])) boundary = np.hstack((image_array[0,:],image_array[-1,:],image_array[1:-1,0],image_array[1:-1,-1])) Loading Loading @@ -289,7 +290,7 @@ def huffman(tiff_image_path, num_bins=4, difference = True): # get the image_as_array, etc # get the image_as_array, etc image_as_array, diff, error= predict_pix(tiff_image_path, difference) image_as_array, diff, error= predict_pix(tiff_image_path, difference) bins = [21,32,48] bins = [29,44,67] # get the boundary # get the boundary boundary = np.hstack((image_as_array[0,:],image_as_array[-1,:],image_as_array[1:-1,0],image_as_array[1:-1,-1])) boundary = np.hstack((image_as_array[0,:],image_as_array[-1,:],image_as_array[1:-1,0],image_as_array[1:-1,-1])) Loading Loading @@ -547,15 +548,16 @@ if __name__ == "__main__": scenes = file_extractor("images") scenes = file_extractor("images") images = image_extractor(scenes) images = image_extractor(scenes) newnamesforlater = [] newnamesforlater = [] list_dic, bins = make_dictionary(images, 4, False) list_dic, bins = make_dictionary(images, 4, True) file_sizes_new = [] file_sizes_new = [] file_sizes_old = [] file_sizes_old = [] # list_dic = np.load("first_dict.npy", allow_pickle="TRUE") # list_dic = np.load("first_dict.npy", allow_pickle="True") bins = [21,32,48] bins = [29,44,67] #otherbins = [21,32,48] np.save("first_dict.npy", list_dic) np.save("first_dict.npy", list_dic) for i in range(len(images)): for i in np.random.choice(len(images), 10): image, new_error, diff = huffman(images[i], 4, False) image, new_error, diff = huffman(images[i], 4, True) encoded_string = encoder(new_error, list_dic, diff, bins) encoded_string = encoder(new_error, list_dic, diff, bins) inletters = bitstring_to_bytes(encoded_string) inletters = bitstring_to_bytes(encoded_string) Loading @@ -576,7 +578,7 @@ if __name__ == "__main__": file_sizes_new.append(os.path.getsize("first_dict.npy")) file_sizes_new.append(os.path.getsize("first_dict.npy")) print(np.sum(file_sizes_new)/np.sum(file_sizes_old)) print(np.sum(file_sizes_new)/np.sum(file_sizes_old)) # list_dic = np.load("first_dict.npy", allow_pickle="TRUE") # list_dic = np.load("first_dict.npy", allow_pickle="TRUE") bins = [21,32,48] bins = [29,44,67] # for i,item in enumerate(newnamesforlater): # for i,item in enumerate(newnamesforlater): # print(item) # print(item) Loading first_dict.npy −11.2 KiB (215 KiB) File changed.No diff preview for this file type. View original file View changed file Loading
WorkingPyDemo.py +10 −8 Original line number Original line Diff line number Diff line Loading @@ -204,7 +204,8 @@ def make_dictionary(tiff_image_path_list, num_bins=4, difference = True): # plt.ylabel('Frequency') # plt.ylabel('Frequency') # plt.title('Histogram of Pixel Values') # plt.title('Histogram of Pixel Values') # plt.show() # plt.show() bins = [21,32,48] bins = [29,44,67] # get the boundary # get the boundary boundary = np.hstack((image_array[0,:],image_array[-1,:],image_array[1:-1,0],image_array[1:-1,-1])) boundary = np.hstack((image_array[0,:],image_array[-1,:],image_array[1:-1,0],image_array[1:-1,-1])) Loading Loading @@ -289,7 +290,7 @@ def huffman(tiff_image_path, num_bins=4, difference = True): # get the image_as_array, etc # get the image_as_array, etc image_as_array, diff, error= predict_pix(tiff_image_path, difference) image_as_array, diff, error= predict_pix(tiff_image_path, difference) bins = [21,32,48] bins = [29,44,67] # get the boundary # get the boundary boundary = np.hstack((image_as_array[0,:],image_as_array[-1,:],image_as_array[1:-1,0],image_as_array[1:-1,-1])) boundary = np.hstack((image_as_array[0,:],image_as_array[-1,:],image_as_array[1:-1,0],image_as_array[1:-1,-1])) Loading Loading @@ -547,15 +548,16 @@ if __name__ == "__main__": scenes = file_extractor("images") scenes = file_extractor("images") images = image_extractor(scenes) images = image_extractor(scenes) newnamesforlater = [] newnamesforlater = [] list_dic, bins = make_dictionary(images, 4, False) list_dic, bins = make_dictionary(images, 4, True) file_sizes_new = [] file_sizes_new = [] file_sizes_old = [] file_sizes_old = [] # list_dic = np.load("first_dict.npy", allow_pickle="TRUE") # list_dic = np.load("first_dict.npy", allow_pickle="True") bins = [21,32,48] bins = [29,44,67] #otherbins = [21,32,48] np.save("first_dict.npy", list_dic) np.save("first_dict.npy", list_dic) for i in range(len(images)): for i in np.random.choice(len(images), 10): image, new_error, diff = huffman(images[i], 4, False) image, new_error, diff = huffman(images[i], 4, True) encoded_string = encoder(new_error, list_dic, diff, bins) encoded_string = encoder(new_error, list_dic, diff, bins) inletters = bitstring_to_bytes(encoded_string) inletters = bitstring_to_bytes(encoded_string) Loading @@ -576,7 +578,7 @@ if __name__ == "__main__": file_sizes_new.append(os.path.getsize("first_dict.npy")) file_sizes_new.append(os.path.getsize("first_dict.npy")) print(np.sum(file_sizes_new)/np.sum(file_sizes_old)) print(np.sum(file_sizes_new)/np.sum(file_sizes_old)) # list_dic = np.load("first_dict.npy", allow_pickle="TRUE") # list_dic = np.load("first_dict.npy", allow_pickle="TRUE") bins = [21,32,48] bins = [29,44,67] # for i,item in enumerate(newnamesforlater): # for i,item in enumerate(newnamesforlater): # print(item) # print(item) Loading
first_dict.npy −11.2 KiB (215 KiB) File changed.No diff preview for this file type. View original file View changed file
