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]:
't_1384_1410'
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({'intimacy': 2})
Named Participants: Counter({'ma': 1, 'dear': 1})
Descriptors: ['indoors', 'standing']
Held Items: Counter({'hand': 1, 'eye': 1})
Active Actions: Counter({'touching': 6, 'lit': 2, 'combing': 1, 'kissing': 1, 'sharing': 1, 'hugging': 1, 'laughing': 1})
In [4]:
scene_obj.display_anchor_shots()
No description has been provided for this image
In [5]:
scene_obj.display_scene_frames_large()
No description has been provided for this image
In [6]:
scene_obj.print_info()

*Scene Information*
Scene ID: t_1384_1410
Start Frame: 1384~25
End Frame: 1410~25
Scene Time: 00:23:04 - 00:23:30
Scene Runtime: 0:00:27

*Technical Details*
Aspect Ratio: 2.35
Avg. Shot Duration: 105.00
Avg. Brightness: 44
Avg. Contrast: 37

*Dialogue Cadence*
Sentences Per Minute: 13
Words Per Sentence 4.50
Questions Per Minute: 0.00
Pct. Questions: 0%

*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()
Out[7]:
[]
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()
No description has been provided for this image
Out[14]:
[]
In [15]:
scene_obj.display_color_shots()