forked from prehistoric-systems/comixify
d453748661
* Add frontend * Neural Image Assessment (NIMA) model * Add GPU mem fraction to NIMA model * Add backend logic * Remove whitespace * NIMA score from image array * Remove NIMA caching * Add nima model as global * NIMA model - add graph to class * Set DEBUG=True * Raise exception if NIMA model file is not found
68 lines
2.7 KiB
Python
68 lines
2.7 KiB
Python
import os
|
|
import uuid
|
|
|
|
import cv2
|
|
import pafy
|
|
from django.conf import settings
|
|
from django.core.files import File
|
|
from django.db import models
|
|
|
|
from api.exceptions import TooLargeFile
|
|
from comic_layout.comic_layout import LayoutGenerator
|
|
from keyframes.keyframes import KeyFramesExtractor
|
|
from style_transfer.style_transfer import StyleTransfer
|
|
from utils import jj, profile
|
|
|
|
|
|
class Video(models.Model):
|
|
file = models.FileField(blank=False, null=False, upload_to="raw_videos")
|
|
timestamp = models.DateTimeField(auto_now_add=True)
|
|
|
|
@profile
|
|
def download_from_youtube(self, yt_url):
|
|
yt_pafy = pafy.new(yt_url)
|
|
|
|
# Use the biggest possible quality with file size < MAX_FILE_SIZE and resolution <= 480px
|
|
for stream in yt_pafy.videostreams:
|
|
if stream.get_filesize() < settings.MAX_FILE_SIZE and int(stream.quality.split("x")[1]) <= 480:
|
|
tmp_name = uuid.uuid4().hex + ".mp4"
|
|
relative_path = jj('raw_videos', tmp_name)
|
|
full_path = jj(settings.MEDIA_ROOT, relative_path)
|
|
stream.download(full_path)
|
|
self.file.name = relative_path
|
|
break
|
|
else:
|
|
raise TooLargeFile()
|
|
|
|
def create_comic(self, frames_mode=0, rl_mode=0, image_assessment_mode=0):
|
|
keyframes, keyframes_extraction_time = KeyFramesExtractor.get_keyframes(
|
|
video=self,
|
|
frames_mode=frames_mode,
|
|
rl_mode=rl_mode,
|
|
image_assessment_mode=image_assessment_mode
|
|
)
|
|
stylized_keyframes, stylization_time = StyleTransfer.get_stylized_frames(frames=keyframes)
|
|
comic_image, layout_generation_time = LayoutGenerator.get_layout(frames=stylized_keyframes)
|
|
|
|
timings = {'keyframes_extraction_time': keyframes_extraction_time,
|
|
'stylization_time': stylization_time,
|
|
'layout_generation_time': layout_generation_time}
|
|
return comic_image, timings
|
|
|
|
|
|
class Comic(models.Model):
|
|
file = models.FileField(blank=False, null=False, upload_to="comic")
|
|
video = models.ForeignKey(Video, on_delete=models.CASCADE, related_name="comic")
|
|
|
|
@classmethod
|
|
@profile
|
|
def create_from_nparray(cls, nparray_file, video):
|
|
if nparray_file.max() <= 1:
|
|
nparray_file = (nparray_file * 255).astype(int)
|
|
tmp_name = uuid.uuid4().hex + ".png"
|
|
cv2.imwrite(jj(settings.TMP_DIR, tmp_name), nparray_file)
|
|
with open(jj(settings.TMP_DIR, tmp_name), mode="rb") as tmp_file:
|
|
comic_image = File(tmp_file, name=tmp_name)
|
|
comic = Comic.objects.create(file=comic_image, video=video)
|
|
os.remove(jj(settings.TMP_DIR, tmp_name))
|
|
return comic
|