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_3070_3273'
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({'violence': 15, 'medical': 6, 'dining': 5, 'drinking': 2})
Potential Common Locations: Counter({'bathroom': 94, 'kitchen': 2, 'bar': 2})
Potential Other Locations: Counter({'hallway': 44, 'doorway': 40, 'field': 32, 'hill': 15, 'building': 9, 'mountain': 6, 'hillside': 2, 'sidewalk': 1})
Establishing Shot Locations: Counter({'building': 8})
Named Participants: Counter({'jack': 1})
Descriptors: ['indoors', 'standing']
Held Items: Counter({'hand': 28, 'piece of paper': 18, 'cell phone': 14, 'book': 8, 'tennis racquet': 5, 'knife': 3, 'baseball bat': 3, 'stick': 3, 'gun': 2, 'glass': 2, 'frisbee': 1, 'shower head with water': 1, 'bar': 1, 'hair dryer': 1, 'baseball bat over his head': 1, 'hair brush': 1, 'bag': 1, 'piece of cloth': 1, 'jacket': 1, 'jacket over his shoulder': 1, 'object': 1, 'curtain': 1, 'wii remote': 1, 'bunch of papers': 1})
Active Actions: Counter({'hanging': 18, 'covers': 9, 'climbing': 9, 'held': 9, 'coming': 7, 'covered': 5, 'parked': 2, 'working': 2, 'falling': 1, 'squatting': 1, 'sink': 1, 'pouring': 1, 'turned': 1, 'covering': 1, 'brushing': 1, 'putting': 1, 'stuffed': 1, 'pulling': 1})
Right Wearing: Counter({'tan shirt': 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_3070_3273
Start Frame: 3070~75
End Frame: 3273~50
Scene Time: 00:51:10 - 00:54:33
Scene Runtime: 0:03:23

*Technical Details*
Aspect Ratio: 2.35
Avg. Shot Duration: 11.44
Avg. Brightness: 68
Avg. Contrast: 33

*Dialogue Cadence*
Sentences Per Minute: 4
Words Per Sentence 1.73
Questions Per Minute: 0.59
Pct. Questions: 13%

*Emotion*
Laughs Per Minute: 0.00
Profanity Per Minute: 0.00
Words Per Profanity: 0
Exclamations Per Minute: 2.36
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()