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_2661_2767'
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({'nature': 101, 'intimacy': 17, 'violence': 17, 'dining': 16, 'animal': 10, 'transit': 5, 'driving': 5})
Potential Common Locations: Counter({'car': 5})
Potential Other Locations: Counter({'forest': 101, 'road': 22, 'street': 2, 'hill': 1})
Descriptors: ['outdoors', 'standing']
Held Items: Counter({'knife': 16, "knife over another man 's shoulder": 7, 'hand': 6, 'hands': 5, 'sword': 4, 'woman': 3, "knife over another man 's face": 3, 'stick': 2, 'man': 2, 'ski pole': 1, 'cane': 1, 'tree branch': 1, 'sword and a woman holding a sword': 1, 'hat': 1, 'gun': 1, 'jacket over his shoulder': 1, 'object': 1, 'child': 1, 'glasses': 1, 'pair of glasses': 1, 'knife over his face': 1, 'cell phone': 1, "knife over another man 's head": 1})
Active Actions: Counter({'riding': 43, 'held': 17, 'hugging': 17, 'hugged': 12, 'carried': 11, 'cut': 10, 'pointing': 4, 'making': 4, 'face': 2, 'dancing': 2, 'drawn': 1, 'running': 1, 'flying': 1, 'carrying': 1, 'hanging': 1})
Left Wearing: Counter({'black coat': 2, 'leather jacket': 2, 'mask and glasses with trees': 1, 'glasses and a coat with a horse': 1, 'black jacket': 1, 'sunglasses and a scarf': 1, 'tie': 1, 'scarf and a scarf around his neck': 1, 'tie and glasses standing': 1, 'suit': 1, 'green shirt': 1, 'white dress': 1})
Right Wearing: Counter({'vest': 6, 'hat': 1, 'black vest': 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_2661_2767
Start Frame: 2661~25
End Frame: 2767~75
Scene Time: 00:44:21 - 00:46:07
Scene Runtime: 0:01:47

*Technical Details*
Aspect Ratio: 2.39
Avg. Shot Duration: 6.89
Avg. Brightness: 75
Avg. Contrast: 56

*Dialogue Cadence*
Sentences Per Minute: 1
Words Per Sentence 1.00
Questions Per Minute: 0.00
Pct. Questions: 0%

*Emotion*
Laughs Per Minute: 0.00
Profanity Per Minute: 0.00
Words Per Profanity: 0
Exclamations Per Minute: 0.56
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()