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_1694_1742'
In [3]:
film_obj = load_film_object(film_id)
scene_obj = film_obj.scene_object(scene_id)
scene_obj.print_context_clues()

*Plot Context*
Descriptors: ['standing']
Active Actions: Counter({'smoking': 26, 'writing': 1, 'brushing': 1, 'posing': 1})
Left Wearing: Counter({'hat': 21, 'hat standing': 13, 'black hat': 13, 'black jacket': 3, 'black suit': 1})
Right Wearing: Counter({'shirt': 3})
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_1694_1742
Start Frame: 1694~75
End Frame: 1742~25
Scene Time: 00:28:14 - 00:29:02
Scene Runtime: 0:00:48

*Technical Details*
Aspect Ratio: 2.39
Avg. Shot Duration: 17.36
Avg. Brightness: 112
Avg. Contrast: 49

*Dialogue Cadence*
Sentences Per Minute: 15
Words Per Sentence 4.75
Questions Per Minute: 2.47
Pct. Questions: 17%

*Emotion*
Laughs Per Minute: 0.00
Profanity Per Minute: 0.00
Words Per Profanity: 0
Exclamations Per Minute: 2.47
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()