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_3512_3569'
In [3]:
film_obj = load_film_object(film_id)
scene_obj = film_obj.scene_object(scene_id)
scene_obj.print_context_clues()

*Plot Context*
Named Participants: Counter({'jerry': 1})
Descriptors: ['indoors', 'standing']
Held Items: Counter({'cup of coffee': 2})
Active Actions: Counter({'covering': 6, 'laughing': 2, 'touching': 1})
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_3512_3569
Start Frame: 3512~75
End Frame: 3569~25
Scene Time: 00:58:32 - 00:59:29
Scene Runtime: 0:00:57

*Technical Details*
Aspect Ratio: 2.35
Avg. Shot Duration: 9.87
Avg. Brightness: 125
Avg. Contrast: 63

*Dialogue Cadence*
Sentences Per Minute: 18
Words Per Sentence 4.53
Questions Per Minute: 2.09
Pct. Questions: 12%

*Emotion*
Laughs Per Minute: 2.09
Profanity Per Minute: 0.00
Words Per Profanity: 0
Exclamations Per Minute: 1.04
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()