checkpoint, forgot when I was sick

ErrorImageCreator.py

@@ -93,26 +93,26 @@ if __name__ == "__main__":
     list_dic = np.load("second_dic.npy", allow_pickle="TRUE")
     bins = [21,32,48]
     print(images)
-    encoded_string2 = bytes_to_bitstring(read_from_file(images[0][:-5] + "_Compressed.txt"))
+    encoded_string2 = bytes_to_bitstring(read_from_file(images[3][:-5] + "_Compressed.txt"))
     original_array, error_array = produce_error_array(encoded_string2, list_dic, bins, False)
     adjusted_errors = color_adjust(abs(error_array))
     original_array_adjusted = color_adjust(original_array)
     # print(adjusted_errors)
     print(error_array)
-    plt.subplot(121)
+    plt.subplot(131)
     plt.imshow(original_array_adjusted,cmap='gray',vmin = 0, vmax=255)
-    plt.subplot(122)
+    plt.subplot(132)
     plt.imshow(adjusted_errors,cmap = 'gray', vmin = 0, vmax=255)
 
 
 
 
-    # encoded_string2 = bytes_to_bitstring(read_from_file(images[1][:-5] + "_Compressed.txt"))
-    # original_array, error_array = produce_error_array(encoded_string2, list_dic, bins, False)
-    # adjusted_errors = color_adjust(abs(error_array))
-    # original_array_adjusted = color_adjust(original_array)
-    # plt.subplot(133)
-    # plt.imshow(adjusted_errors,cmap = 'gray', vmin = 0, vmax=255)
+    encoded_string2 = bytes_to_bitstring(read_from_file(images[0][:-5] + "_Compressed.txt"))
+    original_array, error_array = produce_error_array(encoded_string2, list_dic, bins, False)
+    adjusted_errors = color_adjust(abs(error_array))
+    original_array_adjusted = color_adjust(original_array)
+    plt.subplot(133)
+    plt.imshow(adjusted_errors,cmap = 'gray', vmin = 0, vmax=255)
 
 
 

Remove_Noise.py

@@ -9,6 +9,7 @@ def setup_remote_sftpclient():
     client.connect("192.168.0.107", username="elphel")
     sftp_client = client.open_sftp()
     return sftp_client
+
 def remove_noise(images, which_sensor):
     same_sensor_images = []
     which_sensor = str(which_sensor)
@@ -99,14 +100,15 @@ def find_only_in_channel(images, channel_name = "10"):
                 same_sensor_images.append(image_name)
     return same_sensor_images
 def adjust_to_original(new_image, average_image):
-    original_image_min = np.min(new_image)
-    original_image_max = np.max(new_image)
-    # average_image = average_image - np.mean(average_image)
-    adjusted_image = new_image - (average_image - gaussian_filter(average_image,sigma=5))
-    # adjusted_image = new_image - (average_image - np.array(Image.fromarray(average_image).convert("L").filter(ImageFilter.GaussianBlur(radius=4))))
-    adjusted_image = adjusted_image - np.min(adjusted_image)
-    adjusted_image = adjusted_image*(original_image_max-original_image_min)/np.max(adjusted_image)
-    adjusted_image = adjusted_image + original_image_min
+    # original_image_min = np.min(new_image)
+    # original_image_max = np.max(new_image)
+    average_image = average_image - np.mean(average_image)
+    adjusted_image = new_image - average_image
+    # adjusted_image = new_image + (average_image - gaussian_filter(average_image,sigma=5))
+    # adjusted_image = new_image + (average_image - np.array(Image.fromarray(average_image).convert("L").filter(ImageFilter.GaussianBlur(radius=4))))
+    # adjusted_image = adjusted_image - np.min(adjusted_image)
+    # adjusted_image = adjusted_image*(original_image_max-original_image_min)/np.max(adjusted_image)
+    # adjusted_image = adjusted_image + original_image_min
     return adjusted_image.astype(np.uint16)
 
 def color_adjust(visual_array):
@@ -136,7 +138,7 @@ def create_testable_images(images, selected_channel, quantity_of_images):
     selected_images = np.array(images)[image_locations]
 
     # average_image = np.array(Image.open("Average_On_Channel(" + selected_channel + ").tiff"))
-    images_in_each_direction = 4
+    images_in_each_direction = 40
     for i, item in enumerate(selected_images):
         if image_locations[i] < images_in_each_direction:
             average_image = remote_create_average(images[image_locations[i] - image_locations[i]: image_locations[i] + images_in_each_direction + image_locations[i]], selected_channel)
@@ -152,7 +154,7 @@ def create_testable_images(images, selected_channel, quantity_of_images):
         altered_image = adjust_to_original(image, average_image)
         altered_image = Image.fromarray(altered_image)
         
-        # altered_image.save("averaged_images(" + selected_channel + ")/innerfolder" + item[wherelastslash:])
+        altered_image.save("averaged_images(" + selected_channel + ")/innerfolder" + item[wherelastslash:])
         # average_image = Image.fromarray(average_image)
 
     sftp_client.close()
@@ -163,7 +165,7 @@ if __name__ == "__main__":
     images = remote_image_extractor(scenes)
     images = find_only_in_channel(images, "11")
     # average_image = np.array(Image.open("Average_On_Channel(" + "11" + ").tiff"))
-    create_testable_images(images,"11",10)
+    create_testable_images(images,"11",2)
     # plt.imshow(color_adjust(average_image),cmap='gray',vmin = 0, vmax=1)
     # plt.show()