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_1588_1655'
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({'dining': 158, 'violence': 1})
Potential Common Locations: Counter({'kitchen': 101})
Potential Other Locations: Counter({'doorway': 8})
Descriptors: ['indoors', 'standing']
Held Items: Counter({'toaster': 1, 'knife': 1, 'cell phone': 1})
Active Actions: Counter({'reaching': 3, 'picking': 1})
Left Wearing: Counter({'green shirt': 3})
In [4]:
scene_obj.display_anchor_shots()
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In [5]:
scene_obj.display_scene_frames_large()
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In [6]:
scene_obj.print_info()

*Scene Information*
Scene ID: d_1588_1655
Start Frame: 1588~50
End Frame: 1655~75
Scene Time: 00:26:28 - 00:27:35
Scene Runtime: 0:01:08

*Technical Details*
Aspect Ratio: 1.78
Avg. Shot Duration: 10.80
Avg. Brightness: 23
Avg. Contrast: 26

*Dialogue Cadence*
Sentences Per Minute: 13
Words Per Sentence 3.47
Questions Per Minute: 1.76
Pct. Questions: 13%

*Emotion*
Laughs Per Minute: 0.00
Profanity Per Minute: 0.88
Words Per Profanity: 52
Exclamations Per Minute: 0.88
In [7]:
scene_obj.display_cutaway_shots()
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In [8]:
scene_obj.display_qna_frames()
In [9]:
scene_obj.display_first_p_sentence_frames()
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In [10]:
scene_obj.display_second_p_address_frames()
In [11]:
scene_obj.display_exclamations()
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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()