- Serializing Django objects¶. Django’s serialization framework provides a mechanism for “translating” Django models into other formats. Usually these other formats will be text-based and used for sending Django data over a wire, but it’s possible for a serializer to handle any format (text-based or not).
- First off, I know that there are packages like django-mptt and django-treebeard, but these don't look like what I am looking for. (There the goal seems to be to arrange all the model instances in a tree and the model has fields that encode the position of each instance.
Change the related serializer field name to that of the value of relatedname arg of the foreignkey model field in your model. Fl studio sakura crack. Tao te king pdf. Andrew s. Cat262b owners manual. conklin painter. Class ModelA(models.Model): filed1 = models.SomeField field2 = models.SomeField class ModelB(models.Model): filed1 = models.SomeField modela = models.ForeignKey('ModelA', relatedname='relatedtomodela') class ModelASerializer(serializers.ModelSerializer.
Django Serialize Dict Object Has No Attribute Metallica
I am building of program using opencv. I get this 'Ensure you specified correct input image, input type, output type and/or output image path' error when I pass a variable through the function If I mentioned the image path like 'media/image.jpeg' then everything works properly. I have tried using manually like detect('media/image.jpeg') this which works. If I put any variable like detect('' + uploaded_file_url + '') it doesn't work. Views.py file from .FirstDetection import detect from django.core.files.storage import FileSystemStorage def index2 (request): global name global uploaded_file_url name = 'name' uploaded_file_url = 'media/image.jpeg' if request.method 'POST' and request.FILES['pic']: pic = request.FILES['pic'] fs = FileSystemStorage() filename = fs.save(pic.name, pic) uploaded_file_url = fs.url(filename) name = detect('media/image.jpeg') mylist = [] for n in name: mylist.append(n) return render(request, 'index.html', { 'uploaded_file_url': uploaded_file_url, 'd2' : mylist }) return render(request, 'index.html')'' **Detection.py file** from imageai.Detection import ObjectDetection import os def detect(image): # execution_path = os.getcwd() os.chdir('/Users/sifatulshohan/Documents/CSE-327/Django_project/nsu.nbm.summer2019.cse327.1.t3/Django') media_path = os.getcwd() if os.path.exists('/Users/sifatulshohan/Documents/CSE-327/Django_project/nsu.nbm.summer2019.cse327.1.t3/Django/media') : os.chdir('/Users/sifatulshohan/Documents/CSE-327/Django_project/nsu.nbm.summer2019.cse327.1.t3/Django/media') execution_path = os.getcwd() detector = ObjectDetection() detector.setModelTypeAsRetinaNet() detector.setModelPath( os.path.join(execution_path , 'resnet50_coco_best_v2.0.1.h5')) detector.loadModel() url = '' + '' + image + '' + '' detections = detector.detectObjectsFromImage(input_image=os.path.join(media_path , image), output_image_path=os.path.join(execution_path , 'imagenew.jpeg')) for eachObject in detections: name = eachObject['name'] # probability = eachObject['percentage_probability'] if(eachObject['percentage_probability'] …