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_4400_4438'
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({'animal': 1})
Potential Other Locations: Counter({'road': 48, 'balcony': 48, 'street': 31, 'building': 1, 'garage': 1})
Establishing Shot Locations: Counter({'building': 15})
Descriptors: ['outdoors', 'standing']
Held Items: Counter({'purse': 8, 'hands': 1, 'skateboard': 1, 'suitcase': 1, 'dog': 1, 'hand': 1, 'banana': 1, 'cell phone': 1, 'pair': 1, 'pair of shoes': 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_4400_4438
Start Frame: 4400~25
End Frame: 4438~50
Scene Time: 01:13:20 - 01:13:58
Scene Runtime: 0:00:39

*Technical Details*
Aspect Ratio: 2.39
Avg. Shot Duration: 14.00
Avg. Brightness: 75
Avg. Contrast: 36

*Dialogue Cadence*
Sentences Per Minute: 28
Words Per Sentence 4.61
Questions Per Minute: 1.53
Pct. Questions: 6%

*Emotion*
Laughs Per Minute: 0.00
Profanity Per Minute: 0.00
Words Per Profanity: 0
Exclamations Per Minute: 6.11
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()