def _postprocess(self, data):
outputs = {}
# 输入参数
image = data['image']
input_size = data['input_size']
# 模型识别结果
image_data = image_preporcess(image.copy(), [input_size, input_size])
predict = self.model_object.predict(image_data)
# 结果绘制到图
results = detect(predict, image.shape[:2], input_size,
data['min_score'])
image, recognizer = draw_bbox(image, results, data['show_box_label'])
# 预测次数+1
print('预测次数：', self.count)
self.count += 1
# 输出数据，show_image是否输出识别处理的base64图片
outputs['recognizer_data'] = recognizer
if data['show_image']:
itb64 = image_to_base64(image)
outputs['predicted_image'] = itb64
return outputs
def view_donation_center(request, id):
donation_center = get_object_or_404(DonationCenter, pk=id)
context = {
"donation_center": donation_center,
"name": donation_center.name,
"phone_number_img": image_to_base64(text_to_image(donation_center.phone, 300, 50)) if donation_center.phone else None,
"whatsapp": '595'+donation_center.phone[1:]+'?text=Hola+'+donation_center.name
+ ',+te+escribo+por+el+anuncio+de+donación+que+hiciste:+'
+ '+https:'+'/'+'/'+'ayudapy.org/donaciones/'+donation_center.id.__str__() if donation_center.phone else None,
}
return render(request, "donation_center/details.html", context)