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_4147_4191'
In [3]:
film_obj = load_film_object(film_id)
scene_obj = film_obj.scene_object(scene_id)
scene_obj.print_context_clues()

*Plot Context*
Potential Other Locations: Counter({'building': 50})
Establishing Shot Locations: Counter({'building': 21})
Descriptors: ['standing']
Active Actions: Counter({'smoking': 11, 'blowing': 1})
Left Wearing: Counter({'yellow shirt': 16, 'sunglasses standing': 12})
Right Wearing: Counter({'sunglasses standing': 19, 'sunglasses and a button': 6, 'shirt': 5})
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_4147_4191
Start Frame: 4147~75
End Frame: 4191~50
Scene Time: 01:09:07 - 01:09:51
Scene Runtime: 0:00:44

*Technical Details*
Aspect Ratio: 1.78
Avg. Shot Duration: 16.00
Avg. Brightness: 110
Avg. Contrast: 55

*Dialogue Cadence*
Sentences Per Minute: 19
Words Per Sentence 8.21
Questions Per Minute: 2.68
Pct. Questions: 14%

*Emotion*
Laughs Per Minute: 0.00
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()