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How to use tag_image method in localstack

Best Python code snippet using localstack_python

views.py

Source:views.py

1import hashlib2import json3import os4import shutil5import uuid6import zipfile7from django.conf import settings8from django.contrib import messages9from django.contrib.admin.views.decorators import staff_member_required10from django.contrib.auth.decorators import login_required11from django.core.paginator import Paginator, PageNotAnInteger, EmptyPage12from django.http import HttpResponse13from django.shortcuts import render, redirect14from django.utils.translation import gettext_lazy as _15from django.views.decorators.csrf import csrf_exempt16from images.forms import FormDataset, FormExperiment, TagFormset17from images.models import Dataset, Experiment, Image, IndividualTagBox, IndividualTagPoint, ImageTag, AnnotationType, \18    IndividualTag, IndividualTagCurve19from users.models import Team20from PIL import Image as PILImage21from collections.abc import Iterable22@login_required23def dataset_list(request):24    datasets = Dataset.objects.all()25    return render(request, 'dataset_list.html', {'datasets': datasets})26@login_required27def experiment_list(request):28    experiments = []29    for team in Team.objects.all():30        if request.user in team.users.all():31            result = Experiment.objects.filter(team_id=team.id)32            if isinstance(result, Iterable):33                for exp in result:34                    experiments.append(exp)35            else:36                experiments.append(result)37    return render(request, 'experiment_list.html', {'experiments': experiments})38def md5(file):39    hash_md5 = hashlib.md5()40    with open(file, "rb") as f:41        for chunk in iter(lambda: f.read(4096), b""):42            hash_md5.update(chunk)43    return hash_md5.hexdigest()44@staff_member_required45@login_required46def new_dataset(request):47    if request.method == 'POST':48        postForm = FormDataset(request.POST)49        if postForm.is_valid():50            path_name = settings.MEDIA_URL + postForm.cleaned_data.get('name')51            if not os.path.exists(path_name):52                os.makedirs(path_name)53                os.makedirs(path_name+"/originals")54            # Creamos dataset solo con el nombre y la descripciÃ³n55            dataset = Dataset(name=postForm.cleaned_data['name'],56                              description=postForm.cleaned_data['description'])57            dataset.save()58            # para cada una de las imÃ¡genes seleccionadas realizamos lo siguiente:59            for file in request.FILES.getlist('files'):60                # Extraemos la extensiÃ³n de la imagen61                file_name, original_extension = file.name.split(".")62                new_extension = "jpg"63                # generamos un nombre ÃNICO para la imagen y generamos su ruta dentro del proyecto64                random_name = str(uuid.uuid4())65                image_path = "{dir}/{name}.{ext}".format(dir=path_name,66                                                         name=random_name,67                                                         ext=new_extension)68                #repetimos lo mismo para la imagen que irÃ¡ en originals69                image_path_original = "{dir}/{name}.{ext}".format(dir=path_name+"/originals",70                                                         name=file_name,71                                                         ext=original_extension)72                # guardamos la imagen en la ruta que proporcionamos73                PILImage.open(file).save(image_path)74                PILImage.open(file).save(image_path_original)75                # comprobaciÃ³n de images repetidas76                # generamos el checksum de la imagen a partir de la ruta que antes generamos y comprobamos si existe en la BD.77                checksum = md5(image_path)78                # En caso negativo almacenamos una instancia de Image en la BD y guardamos la imagen en la carpeta del dataset correspondiente.79                if not Image.objects.filter(dataset=dataset, checksum=checksum):80                    imagen = Image(name=file.name,81                                   checksum=checksum,82                                   path=path_name,83                                   name_unique="{name}.{ext}".format(name=random_name,84                                                                     ext=new_extension))85                    imagen.save()86                    dataset.images.add(imagen)87                # en caso de que sÃ exista debemos borrarla de la carpeta puesto que anteriormente la guardamos para poder hacer el checksum88                else:89                    os.remove(image_path)90                    os.remove(image_path_original)91            messages.success(request, _('The dataset has been created successfully!'))92            return redirect('dataset_list')93    else:94        postForm = FormDataset()95    return render(request, 'create_dataset.html', {'postForm': postForm})96@login_required97def dataset(request, id):98    data = Dataset.objects.get(id=id)99    images = data.images.all()100    page = request.GET.get('page', 1)101    paginator = Paginator(images, 36)  # 6x6 grid102    try:103        data_images = paginator.page(page)104    except PageNotAnInteger:105        data_images = paginator.page(1)106    except EmptyPage:107        data_images = paginator.page(paginator.num_pages)108    return render(request, 'dataset.html', {'data': data, 'data_images': data_images})109@login_required110def download_dataset(request, name):111    path=settings.MEDIA_URL+name+"/originals/"112    response = HttpResponse(content_type='application/zip')113    response['Content-Disposition'] = 'attachment; filename=' + name+".zip"114    zip = zipfile.ZipFile(response, 'w')115    for single_file in os.listdir(path):116        with open(path+single_file, 'rb') as f:117            zip.writestr(single_file, f.read())118    zip.close()119    return response120@staff_member_required121@login_required122def modify_dataset(request, id):123    dataset = Dataset.objects.get(id=id)124    name_old = dataset.name125    images = Dataset.objects.get(id=id).images.all()126    page = request.GET.get('page', 1)127    paginator = Paginator(images, 36)  # 6x6 grid128    try:129        data_images = paginator.page(page)130    except PageNotAnInteger:131        data_images = paginator.page(1)132    except EmptyPage:133        data_images = paginator.page(paginator.num_pages)134    duplicate_images = 0135    if request.method == 'POST':136        dataForm = FormDataset(request.POST, instance=dataset)137        if dataForm.is_valid():138            path_name = settings.MEDIA_URL + dataForm.cleaned_data.get('name')139            dataForm.save()  # actualizamos el dataset140            # Si el nombre fue cambiado141            if (name_old != dataForm.cleaned_data['name']):142                # actualizamos la carpeta de imÃ¡genes143                path_old = settings.MEDIA_URL + name_old144                path_new = settings.MEDIA_URL + dataForm.cleaned_data['name']145                os.rename(path_old, path_new)146                # y actualizamos la ruta de las imÃ¡genes de la BD147                Image.objects.filter(path=path_old).update(path=path_new)148            # para cada una de las imÃ¡genes seleccionadas realizamos lo siguiente:149            for file in request.FILES.getlist('files'):150                # Extraemos la extensiÃ³n de la imagen151                file_name, original_extension = file.name.split(".")152                new_extension = "jpg"153                # generamos un nombre ÃNICO para la imagen y generamos su ruta dentro del proyecto154                random_name = str(uuid.uuid4())155                image_path = "{dir}/{name}.{ext}".format(dir=path_name,156                                                         name=random_name,157                                                         ext=new_extension)158                # repetimos lo mismo para la imagen que irÃ¡ en originals159                image_path_original = "{dir}/{name}.{ext}".format(dir=path_name + "/originals",160                                                                  name=file_name,161                                                                  ext=original_extension)162                # guardamos la imagen en la ruta que proporcionamos163                # with open(image_path, 'wb+') as image:164                #     for chunk in file.chunks():165                #         image.write(chunk)166                PILImage.open(file).save(image_path)167                PILImage.open(file).save(image_path_original)168                    # comprobaciÃ³n de images repetidas169                checksum = md5(170                    image_path)  # generamos el checksum de la imagen a partir de la ruta que antes generamos y comprobamos si existe en la BD.171                # En caso negativo almacenamos una instancia de Image en la BD y guardamos la imagen en la carpeta del dataset correspondiente.172                if not Image.objects.filter(dataset=dataset, checksum=checksum):173                    imagen = Image(name=file.name,174                                   checksum=checksum,175                                   path=settings.MEDIA_URL + dataForm.cleaned_data['name'],176                                   name_unique="{name}.{ext}".format(name=random_name,177                                                                     ext=new_extension))178                    imagen.save()179                    dataset.images.add(imagen)180                    # en caso de que sÃ exista debemos borrarla de la carpeta puesto que anteriormente la guardamos para poder hacer el checksum181                else:182                    duplicate_images += 1183                    os.remove(image_path)184                    os.remove(image_path_original)185        if duplicate_images == 0:186            messages.success(request, _("The dataset has been modified successfully!"))187        else:188            messages.warning(request,189                             _(190                                 "The dataset has been modified, but {} duplicated image(s) have not been uploaded").format(191                                 duplicate_images))192        return redirect('dataset', id=id)193    else:194        dataForm = FormDataset(instance=dataset)195    return render(request, 'modify_dataset.html', {'dataForm': dataForm, 'data_images': data_images, 'id_data': id})196@staff_member_required197@login_required198def delete_dataset(request, id):199    query = Dataset.objects.get(id=id)200    query.images.all().delete()201    query.delete()202    name = query.name203    shutil.rmtree(settings.MEDIA_URL + name)204    messages.success(request, _('Dataset deleted successfully!'))205    return redirect('dataset_list')206@staff_member_required207@login_required208def delete_image_dataset(request, id_data, id):209    query = Image.objects.get(id=id)210    query.delete()211    path = query.path + "/" + query.name_unique212    path_original = query.path+"/originals/"+query.name213    os.remove(path_original)214    os.remove(path)215    return redirect('modify_dataset', id=id_data)216@staff_member_required217@login_required218def delete_annotation_type_experiment(request, id_exp, id_annotation_type):219    AnnotationType.objects.filter(id=id_annotation_type).delete()220    IndividualTag.objects.filter(type_id=id_annotation_type).all().delete()221    return redirect('modify_experiment', id_exp)222@staff_member_required223@login_required224def new_experiment(request):225    if request.method == 'POST':226        expForm = FormExperiment(request.POST)227        formset = TagFormset(request.POST)228        if expForm.is_valid():229            experiment = Experiment(name=expForm.cleaned_data['name'],230                                    description=expForm.cleaned_data['description'],231                                    dataset=expForm.cleaned_data['dataset'],232                                    team=expForm.cleaned_data['team'], )233            experiment.save()234            for form in formset:235                if form.is_valid():236                    annotation_type = AnnotationType(name=form.cleaned_data.get('name'),237                                                     color=form.cleaned_data.get('color'),238                                                     experiment=experiment,239                                                     primitive=form.cleaned_data.get('type'))240                    annotation_type.save()241            messages.success(request, _('Experiment created successfully!'))242            return redirect('experiment_list')243    else:244        formset = TagFormset()245        expForm = FormExperiment()246    return render(request, 'create_experiment.html', {'expForm': expForm, 'formset': formset})247@login_required248def experiment(request, id):249    exp = Experiment.objects.get(id=id)250    annotation_types = AnnotationType.objects.all().filter(experiment_id=id)251    tag_images = ImageTag.objects.all().filter(experiment_id=id)252    return render(request, 'experiment.html',253                  {'exp': exp, 'annotation_types': annotation_types, 'tag_images': tag_images})254@staff_member_required255@login_required256def delete_experiment(request, id):257    query = Experiment.objects.get(id=id)258    query.delete()259    messages.success(request, _('Experiment deleted'))260    return redirect('experiment_list')261@staff_member_required262@login_required263def modify_experiment(request, id):264    experiment = Experiment.objects.get(id=id)265    annotation_types = AnnotationType.objects.all().filter(experiment_id=id)266    if request.method == 'POST':267        expForm = FormExperiment(request.POST, instance=experiment)268        formset = TagFormset(request.POST)269        if expForm.is_valid():270            expForm.save()271            for form in formset:272                if form.is_valid():273                    annotation_type = AnnotationType(name=form.cleaned_data.get('name'),274                                                     color=form.cleaned_data.get('color'),275                                                     experiment=experiment,276                                                     primitive=form.cleaned_data.get('type'))277                    annotation_type.save()278            messages.success(request, _('The experiment has been modified'))279            return redirect('experiment', id=id)280    else:281        formset = TagFormset()282        expForm = FormExperiment(instance=experiment)283    return render(request, 'modify_experiment.html',284                  {'expForm': expForm, 'id_exp': id, 'formset': formset, 'annotation_types': annotation_types})285@login_required286def images_experiment(request, id):287    exp = Experiment.objects.get(id=id)288    tag_images = None289    if ImageTag.objects.filter(experiment_id=id).exists():290        tag_images = ImageTag.objects.all().filter(experiment_id=id)291    return render(request, 'images_experiment.html', {'exp': exp, 'tag_images': tag_images})292@login_required293def annotate_image(request, id_exp, id_image, id_user):294    image = Image.objects.get(id=id_image)295    exp = Experiment.objects.get(id=id_exp)296    annotation_types = AnnotationType.objects.filter(experiment_id=id_exp).all()297    tag_image = None298    # solo enviamos las anotaciones hechas por el usuario299    if ImageTag.objects.filter(image_id=id_image).filter(user_id=id_user).exists():300        tag_image = ImageTag.objects.get(image_id=id_image, user_id=id_user)301    return render(request, 'annotate.html',302                  {'exp': exp,303                   'image': image,304                   'annotation_types': annotation_types,305                   'tag_image': tag_image})306@login_required307@csrf_exempt308def save_tags(request, id_exp, id_image):309    if request.method == 'POST':310        tag_image = None311        if 'canvas_data' in request.POST:312            data = request.POST['canvas_data']313            decoded = json.loads(data)314            image_width = decoded['backgroundImage']['width']315            # Si existe un ImageTag para esta imagen donde el usuario corresponde con el actual, es decir, si el usuario que estÃ¡ anotando ya realizÃ³ anotaciones previas316            if ImageTag.objects.filter(image_id=id_image).filter(user_id=request.user.id).all():317                # Sobreescribimos las anotaciones (las borramos todas para volver a guardarlas de nuevo)318                tag_image = ImageTag.objects.get(image_id=id_image, user_id=request.user.id)319                tag_image.individual_tags.all().delete()320                #si el usuario que estÃ¡ anotando es bÃ¡sico y sus anotaciones fueron validadas, las desvalidamos (puesto que en este caso el usuario bÃ¡sico estÃ¡ volviendo a anotar y deben volver a ser validadas)321                if not request.user.is_staff and tag_image.check_by:322                    tag_image.check_by = None323                #en caso de que el usuario haya borrado todas las anotaciones, se borra el tagimage (porque actualmente no hay anotaciones sobre la imagen, da igual que anteriormente se realizaran)324                if decoded['objects'] == []:325                    tag_image.delete()326                tag_image.save()327            else:  # de lo contrario creamos un tagImage nuevo para este usuario328                if request.user.is_staff:  # si el usuario que estÃ¡ realizando la anotaciÃ³n es staff, entendemos que ya estÃ¡ validada329                    tag_image = ImageTag(image_id=id_image,330                                         user_id=request.user.id,331                                         experiment_id=id_exp,332                                         check_by=request.user)333                else:334                    tag_image = ImageTag(image_id=id_image,335                                         user_id=request.user.id,336                                         experiment_id=id_exp)337                tag_image.save()338            for obj in decoded['objects']:339                if obj['type'] == 'circle':340                    if AnnotationType.objects.all().filter(experiment_id=id_exp, name=obj['name']):341                        annotation_type = AnnotationType.objects.get(name=obj["name"], experiment_id=id_exp)342                        if annotation_type.primitive == 'Point': #para que almacene solo las anotaciones de tipo punto y no los puntos de los polÃgonos343                            x_absolute = (obj['left']*image_width)/obj['canvas_width']344                            y_absolute = (obj['top'] * image_width) / obj['canvas_width']345                            point = IndividualTagPoint(image_tag=tag_image,346                                                           type=annotation_type,347                                                           x=x_absolute,348                                                           y=y_absolute)349                            point.save()350                            annotation_type.state = True351                            annotation_type.save()352                elif obj['type'] == 'rect':353                    annotation_type = AnnotationType.objects.get(name=obj["name"], experiment_id=id_exp)354                    x_absolute = (obj['left'] * image_width) / obj['canvas_width']355                    y_absolute = (obj['top'] * image_width) / obj['canvas_width']356                    w_absolute = (obj['width'] * image_width) / obj['canvas_width']357                    h_absolute = (obj['height'] * image_width) / obj['canvas_width']358                    box = IndividualTagBox(image_tag=tag_image,359                                           type=annotation_type,360                                           x_top_left=x_absolute,361                                           y_top_left=y_absolute,362                                           width=w_absolute,363                                           height=h_absolute)364                    box.save()365                    annotation_type.state = True366                    annotation_type.save()367                elif obj['type'] == 'polygon':368                    annotation_type = AnnotationType.objects.get(name=obj["name"], experiment_id=id_exp)369                    polygon = IndividualTagCurve(image_tag=tag_image,370                                                 type=annotation_type,371                                                 id=obj['polyId'],372                                                 isClosed=True,373                                                 points=[])374                    for p in obj['points']: #para cada uno de los puntos del polÃgono375                        x_absolute = (p['x'] * image_width) / obj['canvas_width']376                        y_absolute = (p['y'] * image_width) / obj['canvas_width']377                        point = IndividualTagPoint(image_tag=tag_image,378                                                   type=annotation_type,379                                                   id=p['id'],380                                                   x=x_absolute,381                                                   y=y_absolute)382                        polygon.points.append(point)383                    polygon.save()384                    annotation_type.state = True385                    annotation_type.save()386                elif obj['type'] == 'polyline':387                    annotation_type = AnnotationType.objects.get(name=obj["name"], experiment_id=id_exp)388                    polyline = IndividualTagCurve(image_tag=tag_image,389                                                 type=annotation_type,390                                                 id=obj['polyId'],391                                                 isClosed=False,392                                                 points=[])393                    for p in obj['points']:394                        x_absolute = (p['x'] * image_width) / obj['canvas_width']395                        y_absolute = (p['y'] * image_width) / obj['canvas_width']396                        point = IndividualTagPoint(image_tag=tag_image,397                                                   type=annotation_type,398                                                   id=p['id'],399                                                   x=x_absolute,400                                                   y=y_absolute)401                        polyline.points.append(point)402                    polyline.save()403                    annotation_type.state = True404                    annotation_type.save()405    return redirect('experiment_list')406@login_required407@csrf_exempt408def validate(request, id_exp, id_image, id_user):409    if request.method == 'POST':410        tag_image = ImageTag.objects.get(image_id=id_image, experiment_id=id_exp, user_id=id_user)411        tag_image.individual_tags.all().delete()412        if 'canvas_data' in request.POST:413            data = request.POST['canvas_data']414            decoded = json.loads(data)415            image_width = decoded['backgroundImage']['width']416            # si se borran todas las anotaciones tambien borramos el tagimage417            if decoded['objects'] == []:418                tag_image.delete()419            else:420                for obj in decoded['objects']:421                    if obj['type'] == 'circle':422                        if AnnotationType.objects.all().filter(experiment_id=id_exp, name=obj['name']):423                            annotation_type = AnnotationType.objects.get(name=obj["name"], experiment_id=id_exp)424                            if annotation_type.primitive == 'Point':  # para que almacene solo las anotaciones de tipo punto y no los puntos de los polÃgonos425                                x_absolute = (obj['left'] * image_width) / obj['canvas_width']426                                y_absolute = (obj['top'] * image_width) / obj['canvas_width']427                                point = IndividualTagPoint(image_tag=tag_image,428                                                           type=annotation_type,429                                                           x=x_absolute,430                                                           y=y_absolute)431                                point.save()432                                annotation_type.state = True433                                annotation_type.save()434                    elif obj['type'] == 'rect':435                        annotation_type = AnnotationType.objects.get(name=obj["name"], experiment_id=id_exp)436                        x_absolute = (obj['left'] * image_width) / obj['canvas_width']437                        y_absolute = (obj['top'] * image_width) / obj['canvas_width']438                        w_absolute = (obj['width'] * image_width) / obj['canvas_width']439                        h_absolute = (obj['height'] * image_width) / obj['canvas_width']440                        box = IndividualTagBox(image_tag=tag_image,441                                               type=annotation_type,442                                               x_top_left=x_absolute,443                                               y_top_left=y_absolute,444                                               width=w_absolute,445                                               height=h_absolute)446                        box.save()447                        annotation_type.state = True448                        annotation_type.save()449                    elif obj['type'] == 'polygon':450                        annotation_type = AnnotationType.objects.get(name=obj["name"], experiment_id=id_exp)451                        polygon = IndividualTagCurve(image_tag=tag_image,452                                                     type=annotation_type,453                                                     id=obj['polyId'],454                                                     isClosed=True,455                                                     points=[])456                        for p in obj['points']:  # para cada uno de los puntos del polÃgono457                            x_absolute = (p['x'] * image_width) / obj['canvas_width']458                            y_absolute = (p['y'] * image_width) / obj['canvas_width']459                            point = IndividualTagPoint(image_tag=tag_image,460                                                       type=annotation_type,461                                                       id=p['id'],462                                                       x=x_absolute,463                                                       y=y_absolute)464                            polygon.points.append(point)465                        polygon.save()466                        annotation_type.state = True467                        annotation_type.save()468                    elif obj['type'] == 'polyline':469                        annotation_type = AnnotationType.objects.get(name=obj["name"], experiment_id=id_exp)470                        polyline = IndividualTagCurve(image_tag=tag_image,471                                                      type=annotation_type,472                                                      id=obj['polyId'],473                                                      isClosed=False,474                                                      points=[])475                        for p in obj['points']:476                            x_absolute = (p['x'] * image_width) / obj['canvas_width']477                            y_absolute = (p['y'] * image_width) / obj['canvas_width']478                            point = IndividualTagPoint(image_tag=tag_image,479                                                       type=annotation_type,480                                                       id=p['id'],481                                                       x=x_absolute,482                                                       y=y_absolute)483                            polyline.points.append(point)484                        polyline.save()485                        annotation_type.state = True486                        annotation_type.save()487        # ponemos en check_by al usuario staff que valida la anotaciÃ³n488        if request.user.is_staff:489            tag_image.check_by = request.user490            tag_image.save()491            messages.success(request, 'Anotaciones validadas')492    return redirect('experiment_list')493@login_required494@csrf_exempt495def invalidate(request, id_exp, id_image, id_user):496    if request.method == 'POST':497        tag_image = ImageTag.objects.get(image_id=id_image, experiment_id=id_exp, user_id=id_user)498        if request.user.is_staff:499            tag_image.check_by = None500            tag_image.save()501        elif request.user.is_superuser and tag_image.user.is_staff:502            tag_image.check_by = None503            tag_image.save()504    return redirect('experiment_list')505@login_required506def download_tags(request, id_exp):507    experiment = Experiment.objects.get(id=id_exp)508    experiment_data = {509        "name": experiment.name,510        "description": experiment.description,511        "creation_date": experiment.date.isoformat(),512        "dataset": experiment.dataset.name,513        "team": experiment.team.name,514        "annotations": [],  # contiene todos los TagImage del experimento515    }516    if ImageTag.objects.all().filter(experiment_id=experiment.id):517        tag_images = ImageTag.objects.all().filter(experiment_id=experiment.id)518        for tag in tag_images:519            tag_image = {520                "image": tag.image.name,521                "user": tag.user.username,522                "check_by": tag.check_by.username,523                "individual_annotations": [],524            }525            individual_tags = tag.individual_tags526            for it in individual_tags.all():527                if it.type.primitive == "Point":528                    tag_image["individual_annotations"].append({529                        "name": it.type.name,530                        "type": it.type.primitive,531                        "color": it.type.color,532                        "coordinate_x": it.individualtagpoint.x,533                        "coordinate_y": it.individualtagpoint.y,534                    })535                elif it.type.primitive == "Box":536                    tag_image["individual_annotations"].append({537                        "name": it.type.name,538                        "type": it.type.primitive,539                        "color": it.type.color,540                        "coordinate_x_top_left": it.individualtagbox.x_top_left,541                        "coordinate_y_top_left": it.individualtagbox.y_top_left,542                        "width": it.individualtagbox.width,543                        "height": it.individualtagbox.height,544                    })545                elif it.type.primitive == "Polygon":546                    polygon = {547                        "name": it.type.name,548                        "type": it.type.primitive,549                        "color": it.type.color,550                        "points": [],551                    }552                    for p in it.individualtagcurve.points:553                        polygon["points"].append({554                            "coordinate_x": p.x,555                            "coordinate_y":p.y,556                        })557                    tag_image["individual_annotations"].append(polygon)558                elif it.type.primitive == "Curve":559                    curve = {560                        "name": it.type.name,561                        "type": it.type.primitive,562                        "color": it.type.color,563                        "points": [],564                    }565                    for p in it.individualtagcurve.points:566                        curve["points"].append({567                            "coordinate_x": p.x,568                            "coordinate_y": p.y,569                        })570                    tag_image["individual_annotations"].append(curve)571            experiment_data["annotations"].append(tag_image)572    data = json.dumps(experiment_data)573    response = HttpResponse(data, content_type='application/json')574    response['Content-Disposition'] = 'attachment; filename=' + experiment.name + '.json'575    return response576@login_required577def download_tagged_images(request, id_exp):578    exp = Experiment.objects.get(id=id_exp)579    dataset = exp.dataset.name580    if ImageTag.objects.filter(experiment_id=id_exp).exists():581        tag_images = ImageTag.objects.all().filter(experiment_id=id_exp)582        names_images=[]583        for t in tag_images:584            if not t.image.name in names_images:585                names_images.append(t.image.name)586        print(names_images)587        path = settings.MEDIA_URL + dataset + "/originals/"588        response = HttpResponse(content_type='application/zip')589        response['Content-Disposition'] = 'attachment; filename=' + exp.name + "-tagged-images.zip"590        zip = zipfile.ZipFile(response, 'w')591        for single_file in os.listdir(path):592            if single_file in names_images:593                with open(path + single_file, 'rb') as f:594                    zip.writestr(single_file, f.read())595        zip.close()...

test.py

Source:test.py

1import mysql.connector2from mysql.connector import errorcode3SQL_SERVER = 'passion-mysql-server.mysql.database.azure.com'4SQL_DB = 'passiondb'5USERNAME = 'passionadmin'6PASSWORD = 'MonikMik17!'7list_tags = ('arbre','mangue')8recherche = "SELECT images.bloblink from images INNER JOIN ( SELECT A.id_image FROM tag_image A INNER JOIN \9            ( SELECT id FROM tags WHERE name IN"+ str(list_tags)+") AS B ON A.id_tag = B.id GROUP BY A.id_image \10            HAVING COUNT(*) = "+ str(len(list_tags))+") AS C ON images.id = C.id_image;"11try:12   cnxn = mysql.connector.connect(user=USERNAME, password=PASSWORD, host=SQL_SERVER, port=3306, database=SQL_DB)13   print("Connection established")14except mysql.connector.Error as err:15  if err.errno == errorcode.ER_ACCESS_DENIED_ERROR:16    print("Something is wrong with the user name or password")17  elif err.errno == errorcode.ER_BAD_DB_ERROR:18    print("Database does not exist")19  else:20    print(err)21else:22    cursor = cnxn.cursor()23    #CrÃ©ation de la table Images24    # cursor.execute("CREATE TABLE images (id INT PRIMARY KEY NOT NULL AUTO_INCREMENT, name VARCHAR(50), bloblink VARCHAR(100) );")25    # cursor.execute("CREATE TABLE tags (id INT PRIMARY KEY NOT NULL AUTO_INCREMENT, name VARCHAR(50) );")26    # cursor.execute("CREATE TABLE tag_image (id_image INT NOT NULL, id_tag INT NOT NULL, PRIMARY KEY(id_image, id_tag));")27    # cursor.execute("ALTER TABLE tag_image ADD CONSTRAINT FOREIGN KEY (id_image) REFERENCES images(id);")28    # cursor.execute("ALTER TABLE tag_image ADD CONSTRAINT FOREIGN KEY (id_tag) REFERENCES tags(id);")29    # cursor.execute("INSERT INTO images (name,bloblink) VALUES ('banane.jpeg','www/tmp/blob1');")30    # cursor.execute("INSERT INTO images (name,bloblink) VALUES ('ananas.jpeg','www/tmp/blob1');")31    # cursor.execute("INSERT IGNORE INTO tags (name) VALUES ('arbre');")32    # cursor.execute("INSERT INTO tag_image (id_image,id_tag) VALUES (1,5);")33    # cursor.execute("INSERT INTO tag_image (id_image,id_tag) VALUES (1,3);")34    # cursor.execute("INSERT INTO tag_image (id_image,id_tag) VALUES (3,2);")35    # cursor.execute("INSERT INTO tag_image (id_image,id_tag) VALUES (4,5);")36    # cursor.execute("INSERT INTO tag_image (id_image,id_tag) VALUES (5,4);")37    38    # print("Finished inserting row.")39    # cursor.execute("SELECT LAST_INSERT_ID();")40    # rows = cursor.fetchall()41    # print(rows)42    # cursor.execute("")43    # cursor.execute("SELECT * FROM tags;")44    # cursor.execute("SELECT DISTINCT id_image, id_tag FROM tag_image WHERE id_tag=5")45    cursor.execute(recherche)46    rows = cursor.fetchall()47    for row in rows:48        print("Data row = (%s, %s)" %(str(row[0]), str(row[1]))) #, str(row[2])))49    # print("Finished creating table.")50    # Cleanup51    cnxn.commit()52    cursor.close()53    cnxn.close()...

AR_main.py

Source:AR_main.py

1from AugmentedReality import *2import numpy as np3import cv24import copy5# Initiating the Augmented_Reality class.6ar_class = Augmented_Reality()7# Change these for different videos and image inputs8path_to_video = 'Tag0.mp4'9path_to_image = 'Lena.png'10# Video and image read objects11video_cap = cv2.VideoCapture(path_to_video)12image_cap = cv2.imread(path_to_image)13# template corners.14points_template = np.array([[0,image_cap.shape[0]],[image_cap.shape[1],image_cap.shape[0]],[image_cap.shape[1],0],[0,0]])15while video_cap.read():16	ret, image = video_cap.read()17	original_image = copy.deepcopy(image)18	if not ret:19		break20	21	tag_images_list, tag_corners_list = ar_class.tag_detection(original_image)22	if len(tag_images_list) > 0:23		for tag_image in tag_images_list:24			tag_image, tag_id = ar_class.get_tag_id(tag_image)25			cv2.putText(tag_image,str(tag_id),(tag_image.shape[0]/2 - 5,tag_image.shape[1]/2+15), cv2.FONT_HERSHEY_SIMPLEX, 0.5,(0,0,0),1,cv2.LINE_AA)26			# cv2.imshow('Tag ID',tag_image)27	if len(tag_corners_list) > 0:28		for corner in tag_corners_list:29			for i in range(0,4):30				cv2.circle(image,(corner[i,0],corner[i,1]),3,(255,0,0),5)# Blue Corners31				resized_corner = cv2.resize(image,(0,0), fx=0.5, fy=0.5 )32				cv2.imshow('Corners', resized_corner)33			### Placing template Image on the Tag34			H = ar_class.inverse_homography(corner, points_template)35			width_at_destination = np.array([min(corner[:,0]+1), max(corner[:,0]-1)]).astype(int)36			height_at_destination = np.array([min(corner[:,1]+1), max(corner[:,1]-1)]).astype(int)37			Image_with_template = ar_class.place_template_on_tag(original_image, H, image_cap, width_at_destination, height_at_destination)38			#cv2.imshow('Lena replaces Tags', Image_with_template)			39			### Placing Cube on the Tag40			K = ar_class.calibration_matrix# Calibration Matrix41			Camera_Pose_R_T = ar_class.estimate_camera_pose(K, H)42			frame_with_cube = ar_class.put_a_cube(K, Camera_Pose_R_T, corner, points_template, original_image)43	resized_cube = cv2.resize(original_image, (0,0), fx=0.5, fy=0.5)44	cv2.imshow('Cube Placed', resized_cube)45	cv2.waitKey(1000/30)...

Automation Testing Tutorials

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