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_1411_1502'
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': 500, 'driving': 470, 'nature': 12})
Potential Common Locations: Counter({'car': 470})
Potential Other Locations: Counter({'road': 20, 'forest': 12})
Named Participants: Counter({'jerry': 2, 'fiona': 1, 'freddy': 1})
Descriptors: ['outdoors', 'sitting']
Held Items: Counter({'steering wheel': 5, 'cell phone': 2})
Active Actions: Counter({'driving': 30, 'parked': 3, 'open': 2, 'laughing': 2, 'using': 1, 'make': 1, 'shining': 1})
Left Wearing: Counter({'blue shirt': 5})
Right Wearing: Counter({'blue shirt': 16})
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_1411_1502
Start Frame: 1411~50
End Frame: 1502~00
Scene Time: 00:23:31 - 00:25:02
Scene Runtime: 0:01:31

*Technical Details*
Aspect Ratio: 2.35
Avg. Shot Duration: 9.81
Avg. Brightness: 27
Avg. Contrast: 24

*Dialogue Cadence*
Sentences Per Minute: 30
Words Per Sentence 3.84
Questions Per Minute: 5.25
Pct. Questions: 18%

*Emotion*
Laughs Per Minute: 1.31
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()