def handleIdentify(user):
singleImages = SingleImageInfo.objects.all()
for singleImage in singleImages:
if singleImage.overDate == user.overDate and singleImage.is_identify == False:
fname = BASE_DIR + "/static/upload/" + singleImage.imagePreprocessPath
predict_result = func_predict(str(fname))
if predict_result is 0 or 1:
storgeIdentify(singleImage)
def handleIdentify(user):
print('--->>开始执行任务11111<<---')
singleImages = SingleImageInfo.objects.all()
singleImageIdentifyInfos = SingleImageIdentifyInfo.objects.all()
for singleImage in singleImages:
if singleImage.overDate == user.overDate:
fname = BASE_DIR + "/static/upload/" + singleImage.imagePreprocessPath
predict_result = func_predict(str(fname))
if predict_result is 0 or 1:
storgeIdentify(singleImage)
def handleSplice(user):
print('--->>开始比对任务222222<<---')
singleImages = SingleImageInfo.objects.all()
print('--->>开始比对任务333333<<---')
singleImageSpliceInfos = SingleImageSpliceInfo.objects.all()
print('--->>开始比对任务444444<<---')
for singleImage in singleImages:
if singleImage.overDate == user.overDate:
fname = BASE_DIR + "/static/upload/" + singleImage.imagePreprocessPath
predict_result = func_predict(str(fname))
if predict_result is 0 or 1:
storgeSplice(singleImage)
def mine(request):
#图片分类，并将分类标签存入数据库
users = UserModel.objects.all()
for user in users:
fname = BASE_DIR + "/static/upload/" + user.u_icon.url
my_predict = func_predict(str(fname))
user.u_predict = my_predict
user.save()
print("my_predict:", my_predict)
#下面按理应该是取的最后一张图片
data = {
"username": user.u_name,
"icon_url": "/static/upload/" + user.u_icon.url
}
return render(request, 'mine.html', context=data)
def handlePreprocess(user, newItem):
fname = BASE_DIR + "/static/upload/" + newItem
predict_result = func_predict(str(fname))
# 当预处理完成后，存入单个图像model预处理信息
if predict_result is 0 or 1:
storgePreprocess(user, newItem)