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_1908_1992'
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({'craig': 1, 'japan': 1})
Descriptors: ['indoors', 'standing']
Held Items: Counter({'cell phone': 1})
Active Actions: Counter({'glowing': 10, 'making': 1})
Left Wearing: Counter({'brown shirt': 3})
Right Wearing: Counter({'purple shirt': 42, 'dark shirt': 14, 'black 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_1908_1992
Start Frame: 1908~75
End Frame: 1992~75
Scene Time: 00:31:48 - 00:33:12
Scene Runtime: 0:01:25

*Technical Details*
Aspect Ratio: 1.78
Avg. Shot Duration: 9.11
Avg. Brightness: 54
Avg. Contrast: 33

*Dialogue Cadence*
Sentences Per Minute: 29
Words Per Sentence 4.59
Questions Per Minute: 4.24
Pct. Questions: 15%

*Emotion*
Laughs Per Minute: 0.00
Profanity Per Minute: 0.00
Words Per Profanity: 0
Exclamations Per Minute: 2.12
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()