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_4931_4970'
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({'transit': 80, 'driving': 80})
Potential Common Locations: Counter({'car': 80})
Potential Other Locations: Counter({'field': 139})
Descriptors: ['outdoors', 'standing']
Held Items: Counter({'frisbee': 26})
Active Actions: Counter({'taped': 13, 'sticking': 1, 'blowing': 1, 'covered': 1, 'throwing': 1, 'feeding': 1, 'sit': 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_4931_4970
Start Frame: 4931~25
End Frame: 4970~00
Scene Time: 01:22:11 - 01:22:50
Scene Runtime: 0:00:39

*Technical Details*
Aspect Ratio: 2.35
Avg. Shot Duration: 12.00
Avg. Brightness: 112
Avg. Contrast: 51

*Dialogue Cadence*
Sentences Per Minute: 21
Words Per Sentence 8.50
Questions Per Minute: 3.02
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()