In [1]:
import sys
sys.path.append('../../../../')
import os
from moviegoer.tables import load_film_object, film_id_and_scene_id_from_scene_directory
In [2]:
film_id, scene_id = film_id_and_scene_id_from_scene_directory()
scene_id
Out[2]:
'd_2723_2749'
In [3]:
film_obj = load_film_object(film_id)
scene_obj = film_obj.scene_object(scene_id)
scene_obj.print_context_clues()

*Plot Context*
Context Themes: Counter({'aquatic': 26, 'sport': 13})
Potential Other Locations: Counter({'pool': 13, 'building': 10})
Establishing Shot Locations: Counter({'building': 7})
Descriptors: ['indoors', 'standing', 'crowded']
Active Actions: Counter({'swimming': 13})
In [4]:
scene_obj.display_anchor_shots()
In [5]:
scene_obj.display_scene_frames_large()
In [6]:
scene_obj.print_info()

*Scene Information*
Scene ID: d_2723_2749
Start Frame: 2723~50
End Frame: 2749~00
Scene Time: 00:45:23 - 00:45:49
Scene Runtime: 0:00:26

*Technical Details*
Aspect Ratio: 2.39
Avg. Shot Duration: 10.30
Avg. Brightness: 42
Avg. Contrast: 28

*Dialogue Cadence*
Sentences Per Minute: 34
Words Per Sentence 4.80
Questions Per Minute: 4.53
Pct. Questions: 13%

*Emotion*
Laughs Per Minute: 2.26
Profanity Per Minute: 0.00
Words Per Profanity: 0
Exclamations Per Minute: 0.00
In [7]:
scene_obj.display_cutaway_shots()
In [8]:
scene_obj.display_qna_frames()
In [9]:
scene_obj.display_first_p_sentence_frames()
In [10]:
scene_obj.display_second_p_address_frames()
In [11]:
scene_obj.display_exclamations()
In [12]:
scene_obj.display_laughs()
Out[12]:
[]
In [13]:
scene_obj.display_unintelligible_language()
In [14]:
scene_obj.display_long_take_shots()
Out[14]:
[]
In [15]:
scene_obj.display_color_shots()