diff --git a/helpers.py b/helpers.py
index 3066c0b8..4f7766fc 100644
--- a/helpers.py
+++ b/helpers.py
@@ -164,6 +164,11 @@ def remove_nones(sequence):
     return filter(lambda x : x, sequence)
 
 #Matrix operations
+def thick_diagonal(dim, thickness = 2):
+    row_indices = np.arange(dim).repeat(dim).reshape((dim, dim))
+    col_indices = np.transpose(row_indices)
+    return (np.abs(row_indices - col_indices)<thickness).astype('uint8')
+
 def rotation_matrix(angle, axis):
     """
     Rotation in R^3 about a specified axess of rotation.
diff --git a/mobject/image_mobject.py b/mobject/image_mobject.py
index cd1e310d..6a881f59 100644
--- a/mobject/image_mobject.py
+++ b/mobject/image_mobject.py
@@ -35,26 +35,41 @@ class ImageMobject(Mobject2D):
         raise IOError("File not Found")
                 
     def generate_points_from_file(self, path, invert):
+        if self.read_in_cached_attrs(path, invert):
+            return
+        image = Image.open(path).convert('RGB')
+        if invert:
+            image = invert_image(image)
+        self.generate_points_from_image_array(np.array(image))
+        self.cache_attrs(path, invert)
+
+    def get_cached_attr_files(self, path, invert, attrs):
         #Hash should be unique to (path, invert) pair
-        dtype = 'float'
         unique_hash = str(hash(path+str(invert)))
-        cached_points, cached_rgbs = [
-            os.path.join(IMAGE_MOBJECT_DIR, unique_hash)+extension
-            for extension in ".points", ".rgbs"
+        return [
+            os.path.join(IMAGE_MOBJECT_DIR, unique_hash)+"."+attr
+            for attr in attrs
         ]
-        if os.path.exists(cached_points) and os.path.exists(cached_rgbs):
-            self.points = np.fromfile(cached_points, dtype = dtype)
-            self.rgbs = np.fromfile(cached_rgbs, dtype = dtype)
-            n_points = self.points.size/self.DIM
-            self.points = self.points.reshape(n_points, self.DIM)
-            self.rgbs = self.rgbs.reshape(n_points, 3)
-        else:
-            image = Image.open(path).convert('RGB')
-            if invert:
-                image = invert_image(image)
-            self.generate_points_from_image_array(np.array(image))
-            self.points.astype(dtype).tofile(cached_points)
-            self.rgbs.astype(dtype).tofile(cached_rgbs)
+
+    def read_in_cached_attrs(self, path, invert, 
+                             attrs = ("points", "rgbs"), 
+                             dtype = "float64"):
+        cached_attr_files = self.get_cached_attr_files(path, invert, attrs)
+        if all(map(os.path.exists, cached_attr_files)):
+            for attr, cache_file in zip(attrs, cached_attr_files):
+                arr = np.fromfile(cache_file, dtype = dtype)
+                arr = arr.reshape(arr.size/self.DIM, self.DIM)
+                setattr(self, attr, arr)
+            return True
+        return False
+
+    def cache_attrs(self, path, invert, 
+                    attrs = ("points", "rgbs"),
+                    dtype = "float64"):
+        cached_attr_files = self.get_cached_attr_files(path, invert, attrs)
+        for attr, cache_file in zip(attrs, cached_attr_files): 
+            getattr(self, attr).astype(dtype).tofile(cache_file)
+
 
     def generate_points_from_image_array(self, image_array):
         height, width = image_array.shape[:2]
diff --git a/mobject/mobject.py b/mobject/mobject.py
index d21ec525..5a58b5aa 100644
--- a/mobject/mobject.py
+++ b/mobject/mobject.py
@@ -132,7 +132,7 @@ class Mobject(object):
         Direction just needs to be a vector pointing towards side or
         corner in the 2d plane.
         """
-        shift_val = ORIGIN
+        shift_val = np.array(ORIGIN)
         space_dim = (SPACE_WIDTH, SPACE_HEIGHT)
         for i in [0, 1]:
             if direction[i] == 0:
diff --git a/sample_script.py b/sample_script.py
index 4d4b7134..23fcf79c 100644
--- a/sample_script.py
+++ b/sample_script.py
@@ -16,13 +16,22 @@ from script_wrapper import command_line_create_scene
 
 class SampleScene(SceneFromVideo):
     def construct(self):
-        path = os.path.join(MOVIE_DIR, "LogoGeneration.mp4")
-        SceneFromVideo.construct(self, path)
-        self.animate_over_time_range(
-            0, 3,
-            ApplyMethod(Dot().to_edge(LEFT).to_edge, RIGHT)
-        )
+        path = os.path.join(MOVIE_DIR, "EdgeDetectedCountingInBinary35-75.mp4")
+        SceneFromVideo.construct(self, path, time_range = (3, 5))
+        self.apply_gaussian_blur(sigmaX = 10)
+        self.make_all_black_or_white()
+        self.name = "BlurEdgeBlurBold"
 
+        # self.animate_over_time_range(
+        #     0, 3,
+        #     ApplyMethod(Dot().to_edge(LEFT).to_edge, RIGHT)
+        # )
+       
+    def make_all_black_or_white(self):
+        self.frames = [
+            255*(frame != 0).astype('uint8')
+            for frame in self.frames
+        ]
         
 
 if __name__ == "__main__":
diff --git a/scene/__init__.py b/scene/__init__.py
index 50c1fdf2..ed367da8 100644
--- a/scene/__init__.py
+++ b/scene/__init__.py
@@ -1,3 +1,6 @@
 from scene import *
 from sub_scenes import *
-from arithmetic_scenes import *
\ No newline at end of file
+from arithmetic_scenes import *
+from counting_scene import *
+from pascals_triangle import *
+from scene_from_video import *
\ No newline at end of file
diff --git a/scene/counting_scene.py b/scene/counting_scene.py
index 80c18276..24c8647b 100644
--- a/scene/counting_scene.py
+++ b/scene/counting_scene.py
@@ -6,6 +6,8 @@ from region import *
 from constants import *
 from helpers import *
 
+DEFAULT_COUNT_NUM_OFFSET = (SPACE_WIDTH - 1, SPACE_HEIGHT - 1, 0)
+DEFAULT_COUNT_RUN_TIME   = 5.0
 
 class CountingScene(Scene):
     def count(self, items, item_type = "mobject", *args, **kwargs):
diff --git a/scene/scene.py b/scene/scene.py
index 6bd501e9..18ff6388 100644
--- a/scene/scene.py
+++ b/scene/scene.py
@@ -7,8 +7,6 @@ import time
 import os
 import copy
 import progressbar
-import inspect
-import cv2
 
 from helpers import *
 from mobject import *
@@ -16,9 +14,6 @@ from animation import *
 import displayer as disp
 from tk_scene import TkSceneRoot
 
-DEFAULT_COUNT_NUM_OFFSET = (SPACE_WIDTH - 1, SPACE_HEIGHT - 1, 0)
-DEFAULT_COUNT_RUN_TIME   = 5.0
-
 class Scene(object):
     def __init__(self,
                  display_config = PRODUCTION_QUALITY_DISPLAY_CONFIG,
@@ -85,6 +80,20 @@ class Scene(object):
         )
         return self
 
+    def highlight_region_over_time_range(self, region, time_range = None, color = "black"):
+        if time_range:
+            frame_range = map(lambda t : t / self.frame_duration, time_range)
+            frame_range[0] = max(frame_range[0], 0)
+            frame_range[1] = min(frame_range[1], len(self.frames))
+        else:
+            frame_range = (0, len(self.frames))
+        for index in range(frame_range[0], frame_range[1]):
+            self.frames[index] = disp.paint_region(
+                region,
+                image_array = self.frames[index],
+                color = color
+            )
+
     def reset_background(self):
         self.background = self.original_background
         return self
@@ -186,34 +195,6 @@ class Scene(object):
 
 
 
-class SceneFromVideo(Scene):
-    def construct(self, file_name, freeze_last_frame = True):
-        cap = cv2.VideoCapture(file_name)
-        self.shape = (
-            int(cap.get(cv2.cv.CV_CAP_PROP_FRAME_HEIGHT)),
-            int(cap.get(cv2.cv.CV_CAP_PROP_FRAME_WIDTH))
-        )
-        self.frame_duration = 1.0/cap.get(cv2.cv.CV_CAP_PROP_FPS)
-        frame_count = int(cap.get(cv2.cv.CV_CAP_PROP_FRAME_COUNT))
-
-        print "Reading in " + file_name + "..."
-        progress_bar = progressbar.ProgressBar(maxval=frame_count)
-        progress_bar.start()
-        while(cap.isOpened()):
-            returned, frame = cap.read()
-            if not returned:
-                break
-            b, g, r = cv2.split(frame)
-            self.frames.append(cv2.merge([r, g, b]))
-            progress_bar.update(len(self.frames))
-        cap.release()
-        progress_bar.finish()
-
-        if freeze_last_frame and len(self.frames) > 0:
-            self.original_background = self.background = self.frames[-1]
-
-
-
 
 
 
diff --git a/scene/scene_from_video.py b/scene/scene_from_video.py
new file mode 100644
index 00000000..9b17e3bd
--- /dev/null
+++ b/scene/scene_from_video.py
@@ -0,0 +1,62 @@
+import numpy as np
+import cv2
+import itertools as it
+
+from scene import *
+
+
+class SceneFromVideo(Scene):
+    def construct(self, file_name, 
+                  freeze_last_frame = True,
+                  time_range = None):
+        cap = cv2.VideoCapture(file_name)
+        self.shape = (
+            int(cap.get(cv2.cv.CV_CAP_PROP_FRAME_HEIGHT)),
+            int(cap.get(cv2.cv.CV_CAP_PROP_FRAME_WIDTH))
+        )
+        fps = cap.get(cv2.cv.CV_CAP_PROP_FPS)
+        self.frame_duration = 1.0/fps
+        frame_count = int(cap.get(cv2.cv.CV_CAP_PROP_FRAME_COUNT))
+        if time_range is None:
+            start_frame = 0
+            end_frame = frame_count
+        else:
+            start_frame, end_frame = map(lambda t : fps*t, time_range)
+
+        frame_count = end_frame - start_frame
+        print "Reading in " + file_name + "..."
+        progress_bar = progressbar.ProgressBar(maxval=frame_count)
+        progress_bar.start()
+        for count in it.count():
+            returned, frame = cap.read()
+            if count < start_frame:
+                continue
+            if not returned or count > end_frame:
+                break
+            # b, g, r = cv2.split(frame)
+            # self.frames.append(cv2.merge([r, g, b]))
+            self.frames.append(frame)
+            progress_bar.update(min(len(self.frames), frame_count))
+        cap.release()
+        progress_bar.finish()
+
+        if freeze_last_frame and len(self.frames) > 0:
+            self.original_background = self.background = self.frames[-1]
+
+    def apply_gaussian_blur(self, ksize = (5, 5), sigmaX = 5):
+        self.frames = [
+            cv2.GaussianBlur(frame, ksize, sigmaX)
+            for frame in self.frames
+        ]
+
+    def apply_edge_detection(self, threshold1 = 50, threshold2 = 100):
+        edged_frames = [
+            cv2.Canny(frame, threshold1, threshold2)
+            for frame in self.frames
+        ]
+        for index in range(len(self.frames)):
+            for i in range(3):
+                self.frames[index][:,:,i] = edged_frames[index]
+
+        
+            
\ No newline at end of file
diff --git a/scripts/counting_in_binary.py b/scripts/counting_in_binary.py
new file mode 100644
index 00000000..73bbcf7c
--- /dev/null
+++ b/scripts/counting_in_binary.py
@@ -0,0 +1,258 @@
+#!/usr/bin/env python
+
+import numpy as np
+import itertools as it
+from copy import deepcopy
+import sys
+
+
+from animation import *
+from mobject import *
+from constants import *
+from region import *
+from scene import Scene, SceneFromVideo
+from script_wrapper import command_line_create_scene
+
+MOVIE_PREFIX = "counting_in_binary/"
+BASE_HAND_FILE = os.path.join(MOVIE_DIR, MOVIE_PREFIX, "Base.mp4")
+FORCED_FRAME_DURATION = 0.02
+TIME_RANGE = (0, 42)
+INITIAL_PADDING = 27
+NUM_GOOD_FRAMES = 1223
+
+ALGORITHM_TEXT = [
+    """
+    \\begin{flushleft}
+    Turn up the rightmost finger that is down.
+    """, """
+    Turn down all fingers to its right.
+    \\end{flushleft}
+    """
+]
+FINGER_WORDS = [
+    "Thumb",
+    "Index Finger",
+    "Middle Finger",
+    "Ring Finger",
+    "Pinky",
+]
+
+COUNT_TO_FRAME_NUM = {
+    0 : 0,
+    1 : 27,
+    2 : 76,
+    3 : 110,
+    4 : 163,
+    5 : 189,
+    6 : 226,
+    7 : 264,
+    8 : 318,
+    9 : 356,
+    10 : 384,
+    11 : 423,
+    12 : 457,
+    13 : 513,
+    14 : 528,
+    15 : 590,
+    16 : 620,
+    17 : 671,
+    18 : 691,
+    19 : 740,
+    20 : 781,
+    21 : 810,
+    22 : 855,
+    23 : 881,
+    24 : 940,
+    25 : 970,
+    26 : 1014,
+    27 : 1055,
+    28 : 1092,
+    29 : 1143,
+    30 : 1184,
+    31 : 1219,
+}
+    
+class Hand(ImageMobject):
+    def __init__(self, num, **kwargs):
+        Mobject2D.__init__(self, **kwargs)
+        path = os.path.join(
+            MOVIE_DIR, MOVIE_PREFIX, "images", "Hand%d.png"%num
+        )
+        invert = False
+        if self.read_in_cached_attrs(path, invert):
+            return
+        ImageMobject.__init__(self, path, invert = invert)
+        center = self.get_center()
+        self.center()
+        self.rotate(np.pi, axis = RIGHT+UP)
+        self.sort_points(lambda p : np.log(complex(*p[:2])).imag)
+        self.rotate(np.pi, axis = RIGHT+UP)
+        self.shift(center)
+        self.cache_attrs(path, invert = False)
+
+    # def highlight_thumb(self, color = "yellow"):
+    #     self.highlight(
+    #         color = color,
+    #         condition = lambda p : p[0] > 4.5 and p[1] > -1.5
+    #     )
+
+def get_algorithm():
+    return text_mobject(ALGORITHM_TEXT)
+    
+def get_finger_colors():
+    return list(Color("yellow").range_to("red", 5))
+
+def five_char_binary(num):
+    result = bin(num)[2:]
+    return (5-len(result))*"0" + result
+
+def read_reversed_binary(string):
+    return sum([
+        2**count if char == '1' else 0
+        for count, char in zip(it.count(), string)
+    ])
+
+class LeftHand(Hand):
+    def __init__(self, num, **kwargs):
+        Hand.__init__(
+            self,
+            read_reversed_binary(five_char_binary(num)), 
+            **kwargs
+        )
+        self.rotate(np.pi, UP)
+        self.to_edge(LEFT)
+
+def get_hand_map(which_hand = "right"):
+    if which_hand == "right":
+        Class = Hand
+    elif which_hand == "left":
+        Class = LeftHand
+    else:
+        print "Bad arg, bro"
+        return
+    return dict([
+        (num, Class(num))
+        for num in range(32)
+    ])
+
+class OverHand(SceneFromVideo):
+    def construct(self):
+        SceneFromVideo.construct(self, BASE_HAND_FILE)
+        self.frame_duration = FORCED_FRAME_DURATION
+        self.frames = self.frames[:NUM_GOOD_FRAMES]
+
+
+class SaveEachNumber(OverHand):
+    def construct(self):
+        OverHand.construct(self)
+        for count in COUNT_TO_FRAME_NUM:
+            path = os.path.join(
+                MOVIE_DIR, MOVIE_PREFIX, "images", 
+                "Hand%d.png"%count
+            )
+            Image.fromarray(self.frames[COUNT_TO_FRAME_NUM[count]]).save(path)
+
+    def write_to_movie(self, name = None):
+        print "Why bother writing to movie..."
+
+class ShowCounting(OverHand):
+    def construct(self):
+        OverHand.construct(self)
+        self.frames = INITIAL_PADDING*[self.frames[0]] + self.frames
+        num_frames = len(self.frames)
+        self.frames = [
+            disp.paint_mobject(
+                self.get_counting_mob(32*count // num_frames),
+                frame
+            )
+            for frame, count in zip(self.frames, it.count())
+        ]
+
+    def get_counting_mob(self, count):
+        mob = tex_mobject(str(count))
+        mob.scale(2)
+        mob.shift(LEFT)
+        mob.to_edge(UP, buff = 0.1)
+        return mob
+
+
+class ShowFrameNum(OverHand):
+    def construct(self):
+        OverHand.construct(self)
+        for frame, count in zip(self.frames, it.count()):
+            print count, "of", len(self.frames)
+            mob = CompoundMobject(*[
+                tex_mobject(char).shift(0.3*x*RIGHT)
+                for char, x, in zip(str(count), it.count())
+            ])
+            self.frames[count] = disp.paint_mobject(
+                mob.to_corner(UP+LEFT),
+                frame
+            )
+
+class CountTo1023(Scene):
+    def construct(self):
+        rh_map = get_hand_map("right")
+        lh_map = get_hand_map("left")
+        for mob in rh_map.values()+lh_map.values():
+            mob.scale(0.9)
+            mob.to_edge(DOWN, buff = 0)
+        for mob in rh_map.values():
+            mob.to_edge(RIGHT)
+        for mob in lh_map.values():
+            mob.to_edge(LEFT)
+        def get_num(count):
+            return CompoundMobject(*[
+                tex_mobject(char).shift(0.35*x*RIGHT)
+                for char, x, in zip(str(count), it.count())
+            ]).center().to_edge(UP)
+        self.frames = [
+            disp.paint_mobject(CompoundMobject(
+                rh_map[count%32], lh_map[count//32], get_num(count)
+            ))
+            for count in range(2**10)
+        ]
+
+class Introduction(Scene):
+    def construct(self):
+        words = text_mobject("""
+            First, let's see how to count
+            to 31 on just one hand...
+        """)
+        hand = Hand(0)
+        for mob in words, hand:
+            mob.sort_points(lambda p : p[0])
+
+        self.add(words)
+        self.dither()
+        self.animate(DelayByOrder(Transform(words, hand)))
+        self.dither()
+
+class ShowReadingRule(Scene):
+    def construct(self):
+        pass
+
+class CountWithReadingRule(ShowCounting):
+    def get_counting_mob(self, count):
+        pass
+
+class ShowIncrementRule(Scene):
+    def construct(self):
+        pass
+
+
+
+
+if __name__ == "__main__":
+    command_line_create_scene(MOVIE_PREFIX)
+
+
+
+
+
+
+
+
+
+
+
diff --git a/scripts/playground_counting_in_binary.py b/scripts/playground_counting_in_binary.py
new file mode 100644
index 00000000..5a6806dc
--- /dev/null
+++ b/scripts/playground_counting_in_binary.py
@@ -0,0 +1,228 @@
+#!/usr/bin/env python
+
+import numpy as np
+import itertools as it
+from copy import deepcopy
+import sys
+
+
+from animation import *
+from mobject import *
+from constants import *
+from region import *
+from scene import Scene, SceneFromVideo
+from script_wrapper import command_line_create_scene
+
+MOVIE_PREFIX = "counting_in_binary/"
+
+COUNT_TO_FRAME_NUM = {
+    0 : 0,
+    1 : 53,
+    2 : 84,
+    3 : 128,
+    4 : 169,
+    5 : 208,
+    6 : 238,
+    7 : 281,
+    8 : 331,
+    9 : 365,
+    10 : 395,
+    11 : 435,
+    12 : 475,
+    13 : 518,
+    14 : 556,
+    15 : 595,
+    16 : 636,
+    17 : 676,
+    18 : 709,
+    19 : 753,
+    20 : 790,
+    21 : 835,
+    22 : 869,
+    23 : 903,
+    24 : 950,
+    25 : 988,
+    26 : 1027,
+    27 : 1065,
+    28 : 1104,
+    29 : 1145,
+    30 : 1181,
+    31 : 1224,
+    32 : 1239,
+}
+    
+class Hand(ImageMobject):
+    def __init__(self, num, **kwargs):
+        Mobject2D.__init__(self, **kwargs)
+        path = os.path.join(
+            MOVIE_DIR, MOVIE_PREFIX, "images", "Hand%d.png"%num
+        )
+        invert = False
+        if self.read_in_cached_attrs(path, invert):
+            return
+        ImageMobject.__init__(self, path, invert)
+        center = self.get_center()
+        self.center()
+        self.rotate(np.pi, axis = RIGHT+UP)
+        self.sort_points(lambda p : np.log(complex(*p[:2])).imag)
+        self.rotate(np.pi, axis = RIGHT+UP)
+        self.shift(center)
+        self.cache_attrs(path, invert = False)
+
+
+class EdgeDetection(SceneFromVideo):
+    args_list = [
+        ("CountingInBinary.m4v", 35, 70),
+        ("CountingInBinary.m4v", 0, 100),
+        ("CountingInBinary.m4v", 10, 50),
+    ]
+    @staticmethod
+    def args_to_string(filename, t1, t2):
+        return "-".join([filename.split(".")[0], str(t1), str(t2)])
+
+    def construct(self, filename, t1, t2):
+        path = os.path.join(MOVIE_DIR, filename)
+        SceneFromVideo.construct(self, path)
+        self.apply_gaussian_blur()
+        self.apply_edge_detection(t1, t2)
+
+class BufferedCounting(SceneFromVideo):
+    def construct(self):
+        path = os.path.join(MOVIE_DIR, "CountingInBinary.m4v")
+        time_range = (3, 42)
+        SceneFromVideo.construct(self, path, time_range = time_range)
+        self.buffer_pixels(spreads = (3, 2))
+        # self.make_all_black_or_white()
+
+    def buffer_pixels(self, spreads = (2, 2)):
+        ksize = (5, 5)
+        sigmaX = 10
+        threshold1 = 35
+        threshold2 = 70
+
+        matrices = [
+            thick_diagonal(dim, spread) 
+            for dim, spread in zip(self.shape, spreads)
+        ]
+        for frame, index in zip(self.frames, it.count()):
+            print index, "of", len(self.frames)
+            blurred = cv2.GaussianBlur(frame, ksize, sigmaX)
+            edged = cv2.Canny(blurred, threshold1, threshold2)
+            buffed = reduce(np.dot, [matrices[0], edged, matrices[1]])
+            for i in range(3):
+                self.frames[index][:,:,i] = buffed
+
+
+    def make_all_black_or_white(self):
+        self.frames = [
+            255*(frame != 0).astype('uint8')
+            for frame in self.frames
+        ]
+
+class ClearLeftSide(SceneFromVideo):
+    args_list = [
+        ("BufferedCounting",),
+    ]
+    @staticmethod
+    def args_to_string(scenename):
+        return scenename
+
+    def construct(self, scenename):
+        path = os.path.join(MOVIE_DIR, MOVIE_PREFIX, scenename + ".mp4")
+        SceneFromVideo.construct(self, path)
+        self.highlight_region_over_time_range(
+            Region(lambda x, y : x < -1, shape = self.shape)
+        )
+        
+
+
+class DraggedPixels(SceneFromVideo):
+    args_list = [
+        ("BufferedCounting",),
+        ("CountingWithLeftClear",),
+    ]
+    @staticmethod
+    def args_to_string(*args):
+        return args[0]
+
+    def construct(self, video):
+        path = os.path.join(MOVIE_DIR, MOVIE_PREFIX, video+".mp4")
+        SceneFromVideo.construct(self, path)
+        self.drag_pixels()
+
+    def drag_pixels(self, num_frames_to_drag_over = 5):
+        for index in range(len(self.frames)-1, 0, -1):
+            self.frames[index] = np.max([
+                self.frames[k]
+                for k in range(
+                    max(index-num_frames_to_drag_over, 0),
+                    index
+                )
+            ], axis = 0)
+    
+
+class SaveEachNumber(SceneFromVideo):
+    def construct(self):
+        path = os.path.join(MOVIE_DIR, MOVIE_PREFIX, "ClearLeftSideBufferedCounting.mp4")
+        SceneFromVideo.construct(self, path)
+        for count in COUNT_TO_FRAME_NUM:
+            path = os.path.join(
+                MOVIE_DIR, MOVIE_PREFIX, "images", 
+                "Hand%d.png"%count
+            )
+            Image.fromarray(self.frames[COUNT_TO_FRAME_NUM[count]]).save(path)
+
+class ShowCounting(SceneFromVideo):
+    args_list = [
+        ("CountingWithLeftClear",),
+        ("ClearLeftSideBufferedCounting",),
+    ]
+    @staticmethod
+    def args_to_string(filename):
+        return filename
+
+    def construct(self, filename):
+        path = os.path.join(MOVIE_DIR, MOVIE_PREFIX, filename + ".mp4")
+        SceneFromVideo.construct(self, path)
+        total_time = len(self.frames)*self.frame_duration
+        for count in range(32):
+            print count
+            mob = tex_mobject(str(count)).scale(1.5)
+            mob.shift(0.3*LEFT).to_edge(UP, buff = 0.1)
+            index_range = range(
+                max(COUNT_TO_FRAME_NUM[count]-10, 0),
+                COUNT_TO_FRAME_NUM[count+1]-10
+            ) 
+            for index in index_range:
+                self.frames[index] = disp.paint_mobject(
+                    mob, self.frames[index]
+                )
+
+class ShowFrameNum(SceneFromVideo):
+    args_list = [
+        ("ClearLeftSideBufferedCounting",),
+    ]
+    @staticmethod
+    def args_to_string(filename):
+        return filename
+
+    def construct(self, filename):
+        path = os.path.join(MOVIE_DIR, MOVIE_PREFIX, filename+".mp4")
+        SceneFromVideo.construct(self, path)
+        for frame, count in zip(self.frames, it.count()):
+            print count, "of", len(self.frames)
+            mob = CompoundMobject(*[
+                tex_mobject(char).shift(0.3*x*RIGHT)
+                for char, x, in zip(str(count), it.count())
+            ])
+            self.frames[count] = disp.paint_mobject(
+                mob.to_corner(UP+LEFT),
+                frame
+            )
+
+
+
+
+
+if __name__ == "__main__":
+    command_line_create_scene(MOVIE_PREFIX)
\ No newline at end of file