faster, with smoothing, col only has one color

.gitignore

@@ -0,0 +1,16 @@
+
+.vscode/launch.json
+
+1.mov
+
+1.mp4
+
+2.mp4
+
+3.mp4
+
+4.mp4
+
+test.png
+
+test2.png

new.py

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+import cv2
+import numpy as np
+from PIL import Image
+
+src = "1.mov"
+target = "test.png"
+video = cv2.VideoCapture(src)
+FPS = 30
+smoothing = 1
+stackFactor = 100
+
+def average_frame(img):
+    avg_color_per_row = np.average(img, axis=0)
+    avg_color = np.average(avg_color_per_row, axis=0)
+    return avg_color
+
+
+def make_array(video):
+    result_array = []
+
+    success, image = video.read()
+    counter = 0
+    while success:
+        if counter%FPS == 0:                                  
+            result_array.append(average_frame(image))
+        success, image = video.read()                   # image is of type numpy array
+        counter += 1
+
+    return np.asarray(result_array, dtype = np.uint8)
+
+# convert video to 1 x #ofFrames array
+res_arr = make_array(video)
+# rotate to make it horizontal
+rotated = np.swapaxes(res_arr,0,1)
+# stack the rows
+tiled = np.tile([res_arr], (stackFactor, 1, 1))
+# blur the image in y-axis
+blured = cv2.blur(tiled, (smoothing , 1))
+# converti image to rgb from bgr
+im_rgb = cv2.cvtColor(blured, cv2.COLOR_BGR2RGB)
+# create image from array
+im = Image.fromarray(im_rgb, mode='RGB')
+# save image
+im.save(target)