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_1425_1481'
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': 4})
Potential Common Locations: Counter({'train': 4})
Potential Other Locations: Counter({'doorway': 2})
Establishing Shot Locations: Counter({'train': 3})
Named Participants: Counter({'chloe': 1, 'miles': 1})
Descriptors: ['indoors', 'standing']
Active Actions: Counter({'open': 5, 'pointing': 4, 'giving': 3, 'making': 2})
Left Wearing: Counter({'tie': 2, 'white shirt': 2})
Right Wearing: Counter({'hat': 3, 'suit': 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_1425_1481
Start Frame: 1425~25
End Frame: 1481~50
Scene Time: 00:23:45 - 00:24:41
Scene Runtime: 0:00:57

*Technical Details*
Aspect Ratio: 1.78
Avg. Shot Duration: 9.42
Avg. Brightness: 75
Avg. Contrast: 49

*Dialogue Cadence*
Sentences Per Minute: 26
Words Per Sentence 5.72
Questions Per Minute: 1.05
Pct. Questions: 4%

*Emotion*
Laughs Per Minute: 0.00
Profanity Per Minute: 1.05
Words Per Profanity: 143
Exclamations Per Minute: 8.38
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()