83 lines
2.8 KiB
Python
83 lines
2.8 KiB
Python
from typing import Any
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from django.db.models.query import QuerySet
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from django.shortcuts import render, redirect
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from django.views import View
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from .forms import DetectForm
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from django.views.generic import ListView, DetailView
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from django.contrib.auth.decorators import login_required
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from django.utils.decorators import method_decorator
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from .models import UploadImage, PredictedImage
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from .utils import predict_image
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from django.contrib.auth.mixins import LoginRequiredMixin
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import json
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class DetectView(View):
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form_class = DetectForm
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template_name = "upload.html"
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def get(self, request, *args, **kwargs):
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form = self.form_class()
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return render(request, "upload.html", {"form": form})
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@method_decorator(login_required)
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def post(self, request, *args, **kwargs):
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form = self.form_class(request.POST, request.FILES)
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files = request.FILES.getlist("image")
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predictions = []
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if form.is_valid():
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for f in files:
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image = UploadImage(
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image=f,
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)
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image.owner = request.user
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image.save()
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prediciton_results = predict_image(image)
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image.predicted_image_url = (
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f"{image.image.name}_predicted/{image.image.name.split('/')[-1]}"
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)
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image.save()
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try:
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results_metrics = prediciton_results
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except IndexError as e:
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predicted_image = PredictedImage.objects.create(
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original_image=image,
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image=image.predicted_image_url,
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prediction_data={"data": "no results"},
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)
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else:
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predicted_image = PredictedImage.objects.create(
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original_image=image,
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image=image.predicted_image_url,
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prediction_data=results_metrics,
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)
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predictions.append(predicted_image)
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return render(
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request,
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"results.html",
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{
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"img_saved": True,
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"img_url": predictions,
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},
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)
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else:
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return render(request, "upload.html", {"form": form})
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class ListHistory(LoginRequiredMixin, ListView):
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model = PredictedImage
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queryset = PredictedImage.objects.all()
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template_name = "history.html"
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paginate_by = 3
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def get_queryset(self) -> QuerySet[Any]:
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queryset = PredictedImage.objects.filter(
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original_image__owner=self.request.user
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).order_by("-date_predicted")
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return queryset
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class DetectionDetails(LoginRequiredMixin, DetailView):
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model = PredictedImage
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template_name = "detection_detail.html"
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