MNIST TUTORIAL

Run on Google Colab

View source on GitHub

Download notebook

Start EVA server

We are reusing the start server notebook for launching the EVA server.

!wget -nc "https://raw.githubusercontent.com/georgia-tech-db/eva/master/tutorials/00-start-eva-server.ipynb"
%run 00-start-eva-server.ipynb
cursor = connect_to_server()

File ‘00-start-eva-server.ipynb’ already there; not retrieving.

Note: you may need to restart the kernel to use updated packages.

Starting EVA Server ...
nohup eva_server > eva.log 2>&1 &

Downloading the videos

# Getting MNIST as a video
!wget -nc https://www.dropbox.com/s/yxljxz6zxoqu54v/mnist.mp4

File ‘mnist.mp4’ already there; not retrieving.

Upload the video for analysis

response = cursor.execute("DROP TABLE IF EXISTS MNISTVid").fetch_all().as_df()
cursor.execute("LOAD VIDEO 'mnist.mp4' INTO MNISTVid").fetch_all().as_df()

	0
0	Number of loaded VIDEO: 1

Visualize Video

from IPython.display import Video
Video("mnist.mp4", embed=True)

Run the Image Classification UDF on video

response = cursor.execute("""SELECT data, MnistImageClassifier(data).label 
                  FROM MNISTVid
                  WHERE id = 30 OR id = 50 OR id = 70 OR id = 0 OR id = 140""").fetch_all().as_df()
response

	mnistvid.data	mnistimageclassifier.label
0	[[[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], ...	6
1	[[[2, 2, 2], [2, 2, 2], [2, 2, 2], [2, 2, 2], ...	2
2	[[[13, 13, 13], [2, 2, 2], [2, 2, 2], [13, 13,...	3
3	[[[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], ...	7
4	[[[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], ...	5

Visualize output of query on the video

# !pip install matplotlib
import matplotlib.pyplot as plt
import numpy as np

# create figure (fig), and array of axes (ax)
fig, ax = plt.subplots(nrows=1, ncols=5, figsize=[6,8])

for axi in ax.flat:
    idx = np.random.randint(len(response))
    img = response['mnistvid.data'].iloc[idx]
    label = response['mnistimageclassifier.label'].iloc[idx]
    axi.imshow(img)
    
    axi.set_title(f'label: {label}')

plt.show()