Create app.py

app.py

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+import streamlit as st
+
+color_step = st.slider('color_step', value=10, min_value=1, max_value=179, step=1)
+
+#duration of each frame of the gif in milliseconds 
+duration_parameter = st.slider('duration_parameter aka duration of each frame of the gif in milliseconds', value=10, min_value=1, max_value=2000, step=10)
+
+#Loop parameter = number of times gif loops. 0 = loops infinitely. 
+loop_parameter = st.slider('Loop parameter aka number of times gif loops', value=0, min_value=0, max_value=10, step=1)
+
+
+if color_step == 0:
+  my_hue_list = [0]
+else:
+  my_hue_list = list( range(0, 180, color_step) ) #Color step basically gives step range of this list, ie if color_step = 2 then it is [0,2,4,6,....,178]
+
+import cv2
+import numpy as np
+
+user_image_name = "/content/input_image.png"
+
+# load image with alpha channel
+img = cv2.imread( user_image_name , cv2.IMREAD_UNCHANGED)
+
+# extract alpha channel  
+#alpha = img[:,:,3]
+
+# extract bgr channels
+bgr = img[:,:,0:3]
+
+# convert to HSV
+hsv = cv2.cvtColor(bgr, cv2.COLOR_BGR2HSV)
+#h = hsv[:,:,0]
+#s = hsv[:,:,1]
+#v = hsv[:,:,2]
+h,s,v = cv2.split(hsv)
+
+
+if color_step == 0:
+  my_hue_list = [0]
+else:
+  my_hue_list = list( range(0, 180, color_step) ) #Color step basically gives step range of this list, ie if color_step = 2 then it is [0,2,4,6,....,178]
+#180 at end means highest it can go is 179 (same as hue param )
+#including 0 makes original image part of the outputs/gif 
+print(my_hue_list)
+
+#H,S,V = Hue , Saturation, Value (ie color value) parameters
+#Hue has range [0,179] , Saturation [0,255] , Value [0,255]
+
+for i in my_hue_list:
+  # modify hue channel by adding difference and modulo 180 (modulo because hue parameter only goes up to index 180, shouldn't exceed that )
+  hnew = np.mod(h + i, 180).astype(np.uint8)   #<<<<<<<<<<<<<<<< where the iter comes in 
+
+  # recombine channels
+  hsv_new = cv2.merge([hnew,s,v])
+
+  # convert back to bgr
+  bgr_new = cv2.cvtColor(hsv_new, cv2.COLOR_HSV2BGR)
+
+  # put alpha back into bgr_new
+  #bgra = cv2.cvtColor(bgr_new, cv2.COLOR_BGR2BGRA)
+  #bgra[:,:,3] = alpha
+
+  # save output AS FILE LABELED BY ITERABLE 
+  output_filename = 'output_bgr_new_' + str(i) +'.png'        #<<<<<<<<<<<<<<<< where the iter comes in 
+  cv2.imwrite(output_filename, bgr_new)
+
+
+'''for this demo prob need to retain image objects bgr_new in an img_array by appending them to that then build them into a gif from the array'''
+
+
+for i in my_hue_list:
+  output_filename = 'output_bgr_new_' + str(i) +'.png'        #<<<<<<<<<<<<<<<< where the iter comes in 
+  Image(filename='/main_outputs/' + output_filename) 
+
+# filepaths
+fp_in = "/main_outputs/*.png"
+fp_out = "/" + original_filename + "_HueShiftGIF_color_step_" + str(color_step) + "_duration_" + str(duration_parameter) + "_loop_" + str(loop_parameter) + ".gif"
+
+# https://pillow.readthedocs.io/en/stable/handbook/image-file-formats.html#gif
+img, *imgs = [Image.open(f) for f in sorted(glob.glob(fp_in))]
+img.save(fp=fp_out, format='GIF', append_images=imgs,
+         save_all=True, duration=duration_parameter, loop=loop_parameter)
+
+
+
+st.image(fp_out)