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ChangeIt
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bpiyush commited on
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1 Parent(s): 0a3c96c

Adds streramlit demo

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Files changed (47) hide show
  1. app.py +93 -0
  2. data/categories.csv +45 -0
  3. data/labels.csv +5 -0
  4. data/videos/apple.csv +900 -0
  5. data/videos/avocado.csv +870 -0
  6. data/videos/bacon.csv +721 -0
  7. data/videos/ball.csv +804 -0
  8. data/videos/beer.csv +1003 -0
  9. data/videos/boil_milk.csv +549 -0
  10. data/videos/box.csv +931 -0
  11. data/videos/butter.csv +619 -0
  12. data/videos/cake.csv +874 -0
  13. data/videos/candle.csv +724 -0
  14. data/videos/champagne.csv +945 -0
  15. data/videos/cherries.csv +528 -0
  16. data/videos/chocolate.csv +475 -0
  17. data/videos/coffee.csv +639 -0
  18. data/videos/corn.csv +909 -0
  19. data/videos/cream.csv +630 -0
  20. data/videos/cube.csv +621 -0
  21. data/videos/dough.csv +727 -0
  22. data/videos/dragon_fruit.csv +876 -0
  23. data/videos/drill.csv +292 -0
  24. data/videos/eggs.csv +694 -0
  25. data/videos/fish.csv +632 -0
  26. data/videos/garlic.csv +985 -0
  27. data/videos/grill.csv +886 -0
  28. data/videos/juice.csv +265 -0
  29. data/videos/milk.csv +949 -0
  30. data/videos/onion.csv +919 -0
  31. data/videos/outlet.csv +648 -0
  32. data/videos/pan.csv +750 -0
  33. data/videos/pancake.csv +452 -0
  34. data/videos/pineapple.csv +938 -0
  35. data/videos/plane.csv +726 -0
  36. data/videos/potatoes.csv +820 -0
  37. data/videos/ribbon.csv +789 -0
  38. data/videos/rope.csv +840 -0
  39. data/videos/shoes.csv +1149 -0
  40. data/videos/t-shirt.csv +677 -0
  41. data/videos/tea.csv +880 -0
  42. data/videos/tie.csv +628 -0
  43. data/videos/tile.csv +657 -0
  44. data/videos/tortilla.csv +1914 -0
  45. data/videos/tree.csv +957 -0
  46. data/videos/weed.csv +771 -0
  47. data/videos/whisk_eggs.csv +865 -0
app.py ADDED
@@ -0,0 +1,93 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ """Streamlit demo to explore ChangeIt dataset."""
2
+ from os.path import join, exists, dirname, abspath
3
+ from glob import glob
4
+
5
+ import numpy as np
6
+ import pandas as pd
7
+ import streamlit as st
8
+
9
+ import warnings
10
+ warnings.simplefilter(action='ignore')
11
+
12
+ curr_filepath = abspath(__file__)
13
+ repo_path = dirname(curr_filepath)
14
+
15
+
16
+ categories = [
17
+ "ball",
18
+ "beer",
19
+ "boil_milk",
20
+ "butter",
21
+ "cake",
22
+ "champagne",
23
+ "coffee",
24
+ "cream",
25
+ "drill",
26
+ "eggs",
27
+ "juice",
28
+ "milk",
29
+ "potatoes",
30
+ "tea",
31
+ "tree",
32
+ "whisk_eggs",
33
+ ]
34
+
35
+
36
+ def load_category_df(path, desc):
37
+ df = pd.read_csv(path, header=None)
38
+ df.columns = ["video_id", "param"]
39
+ df["category"] = path.split("/")[-1].split(".")[0]
40
+ df["action"] = desc
41
+ return df
42
+
43
+
44
+ def make_grid(cols,rows):
45
+ grid = [0]*cols
46
+ for i in range(cols):
47
+ with st.container():
48
+ grid[i] = st.columns(rows)
49
+ return grid
50
+
51
+
52
+ if __name__ == "__main__":
53
+ # Streamlit app code
54
+ st.set_page_config(layout="wide")
55
+ st.title("Clips from ChangeIt dataset (possibly of temporal nature) 🎬")
56
+
57
+
58
+ # Load all the data
59
+ if "video_ids" not in st.session_state:
60
+ cdf = pd.read_csv(join(repo_path, "data", "categories.csv"))
61
+ cdf = cdf[cdf.DIR_NAME.isin(categories)]
62
+ action_names = cdf.ACTION_NAME.values
63
+ paths = [join(repo_path, "data/videos", c + ".csv") for c in cdf.DIR_NAME]
64
+ dfs = [load_category_df(p, a) for p, a in zip(paths, action_names)]
65
+ df = pd.concat(dfs, ignore_index=True)
66
+ st.session_state.df = df
67
+ else:
68
+ df = st.session_state.df
69
+ st.markdown(f"**Total number of relevant clips**: {len(df)}", unsafe_allow_html=True)
70
+
71
+ # Select a random subset of clips
72
+ reload_button = st.button("Reload")
73
+ NUM = 9
74
+ indices = np.random.randint(0, len(st.session_state.df), NUM)
75
+ if reload_button:
76
+ indices = np.random.randint(0, len(st.session_state.df), NUM)
77
+
78
+ # Show videos
79
+ grid = make_grid(3, 3)
80
+ per_video_width = 360
81
+ per_video_height = 240
82
+ for i, idx in enumerate(indices):
83
+ row = i // 3
84
+ col = i % 3
85
+ video_id = df.iloc[idx].video_id
86
+ action = df.iloc[idx].action
87
+
88
+ url = f"https://www.youtube.com/embed/{video_id}"
89
+ html_code = f"""
90
+ <iframe height="{per_video_height}" width="{per_video_width}" src="{url}" frameborder="0" allowfullscreen></iframe>
91
+ """
92
+ grid[row][col].markdown(html_code, unsafe_allow_html=True)
93
+ grid[row][col].markdown(f"**Action**: {action}", unsafe_allow_html=True)
data/categories.csv ADDED
@@ -0,0 +1,45 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ DIR_NAME,ACTION_NAME,CENTERING_PARAM
2
+ apple,"Apple Peeling/Cutting",0.309
3
+ avocado,"Avocado Peeling/Slicing",0.337
4
+ bacon,"Bacon Frying",0.371
5
+ ball,"Ball Inflating",0.301
6
+ beer,"Beer Pouring",0.324
7
+ boil_milk,"Milk Boiling",0.480
8
+ box,"Gift/Box Wrapping",0.346
9
+ butter,"Butter Melting",0.319
10
+ cake,"Cake Frosting",0.380
11
+ candle,"Candle Lighting",0.278
12
+ champagne,"Champagne Opening",0.305
13
+ cherries,"Cherries Pitting",0.293
14
+ chocolate,"Chocolate Melting",0.352
15
+ coffee,"Coffee Grinding",0.411
16
+ corn,"Corn Peeling",0.385
17
+ cream,"Cream Whipping",0.506
18
+ cube,"Rubik's Cube Solving",0.542
19
+ dough,"Dough Rolling",0.395
20
+ dragon_fruit,"Dragon Fruit Peeling/Cutting",0.331
21
+ drill,"Wood Drilling",0.369
22
+ eggs,"Eggs Peeling",0.422
23
+ fish,"Fish Filleting",0.327
24
+ garlic,"Garlic Peeling/Chopping",0.368
25
+ grill,"Grill Starting",0.379
26
+ juice,"Juice Pouring",0.288
27
+ milk,"Milk Pouring",0.294
28
+ onion,"Onions Peeling/Chopping",0.355
29
+ outlet,"Outlet Installing",0.437
30
+ pan,"Pan Cleaning",0.396
31
+ pancake,"Pancake Flipping",0.383
32
+ pineapple,"Pineapple Peeling/Slicing",0.397
33
+ plane,"Paper Plane Folding",0.484
34
+ potatoes,"Potatoes Frying",0.404
35
+ ribbon,"Ribbon/Bow Tying",0.357
36
+ rope,"Rope/Knot Tying",0.316
37
+ shoes,"Shoes Cleaning",0.367
38
+ t-shirt,"T-shirt Dyeing",0.362
39
+ tea,"Tea Pouring",0.345
40
+ tie,"Tie Tying",0.336
41
+ tile,"Tile Cutting",0.348
42
+ tortilla,"Tortilla Wrapping",0.345
43
+ tree,"Tree Cutting",0.349
44
+ weed,"Weed Removing",0.270
45
+ whisk_eggs,"Eggs Whisking",0.377
data/labels.csv ADDED
@@ -0,0 +1,5 @@
 
 
 
 
 
 
1
+ LABEL_ID,MEANING
2
+ 0,"background/noannotation"
3
+ 1,"state1"
4
+ 2,"action"
5
+ 3,"state2"
data/videos/apple.csv ADDED
@@ -0,0 +1,900 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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