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
70 lines
2.3 KiB
Python
70 lines
2.3 KiB
Python
from rest_framework.parsers import FormParser, MultiPartParser
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from rest_framework.response import Response
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from rest_framework.views import APIView
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from .models import Video, Comic
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from .serializers import VideoSerializer, YouTubeDownloadSerializer
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class Comixify(APIView):
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parser_classes = (FormParser, MultiPartParser)
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def post(self, request):
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"""
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Receives video, and returns comic image
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"""
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serializer = VideoSerializer(data=request.data)
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serializer.is_valid(raise_exception=True)
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video_file = serializer.validated_data["file"]
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video = Video.objects.create(file=video_file)
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comic_image, timings = video.create_comic(
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frames_mode=serializer.validated_data["frames_mode"],
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rl_mode=serializer.validated_data["rl_mode"],
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image_assessment_mode=serializer.validated_data["image_assessment_mode"]
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)
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comic, from_nparray_time = Comic.create_from_nparray(comic_image, video)
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timings['from_nparray_time'] = from_nparray_time
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response = {
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"status_message": "ok",
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"comic": comic.file.url,
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"timings": timings,
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}
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# Remove to spare storage
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video.file.delete()
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return Response(response)
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class ComixifyFromYoutube(APIView):
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def post(self, request):
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"""
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Receives video, and returns comic image
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"""
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serializer = YouTubeDownloadSerializer(data=request.data)
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serializer.is_valid(raise_exception=True)
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yt_url = serializer.validated_data["url"]
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video = Video()
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_, yt_download_time = video.download_from_youtube(yt_url)
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video.save()
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comic_image, timings = video.create_comic(
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frames_mode=serializer.validated_data["frames_mode"],
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rl_mode=serializer.validated_data["rl_mode"],
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image_assessment_mode=serializer.validated_data["image_assessment_mode"]
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)
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comic, from_nparray_time = Comic.create_from_nparray(comic_image, video)
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timings['from_nparray_time'] = from_nparray_time
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timings['yt_download_time'] = yt_download_time
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response = {
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"status_message": "ok",
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"comic": comic.file.url,
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"timings": timings,
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}
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# Remove to spare storage
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video.file.delete()
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return Response(response)
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