mengwangk

import io
import json
import uuid

import uvicorn
from fastapi import FastAPI, File, UploadFile
from PIL import Image
from starlette.responses import Response

from model.dcgan import dcgan

mengwangk

import io

import requests
import streamlit as st
from PIL import Image

server_url=f"http://backend:8088/pgan"

def pgan():
    st.title("PGAN - Progressive Growing of GANS")

mengwangk

import torch
import torchvision.transforms as Transforms

use_gpu = True if torch.cuda.is_available() else False

# trained on high-quality celebrity faces "celebA" dataset
# this model outputs 512 x 512 pixel images
model = torch.hub.load('facebookresearch/pytorch_GAN_zoo:hub',
                       'PGAN', model_name='celebAHQ-512',
                       pretrained=True, useGPU=use_gpu)

mengwangk

import io

import requests
import streamlit as st
from PIL import Image

server_url=f"http://backend:8088/dcgan"

def dcgan():

mengwangk

import torch
import torchvision.transforms as Transforms

use_gpu = True if torch.cuda.is_available() else False

model = torch.hub.load('facebookresearch/pytorch_GAN_zoo:hub', 'DCGAN', pretrained=True, useGPU=use_gpu)

num_images = 1

def dcgan():

mengwangk

import io

import requests
import streamlit as st
from PIL import Image

server_url=f"http://backend:8088/resnext"

def resnext():
    st.title("RESNEXT - Next generation ResNets, more efficient and accurate")

mengwangk

import torch
import torchvision.transforms as Transforms

# Read the categories
with open("imagenet_classes.txt", "r") as f:
    categories = [s.strip() for s in f.readlines()]

model = torch.hub.load('pytorch/vision:v0.6.0', 'resnext50_32x4d', pretrained=True)
# or
# model = torch.hub.load('pytorch/vision:v0.6.0', 'resnext101_32x8d', pretrained=True)

mengwangk

#!/usr/bin/env bash
set -e

if [ "$DEBUG" = true ] ; then
    echo 'Debugging - ON'
    nodemon --exec streamlit run main.py
else
    echo 'Debugging - OFF'
    streamlit run main.py
fi

mengwangk

#!/usr/bin/env bash
set -e

if [ "$DEBUG" = true ] ; then
    echo 'Debugging - ON'
    uvicorn main:app --host 0.0.0.0 --port 8088 --reload
else
    echo 'Debugging - OFF'
    uvicorn main:app --host 0.0.0.0 --port 8088 
fi

mengwangk

scriptencoding utf-8

if exists('g:no_vim_fancy_text') || !has('conceal') || &enc != 'utf-8'
  finish
endif

syntax match rsFancyOperator "!=" conceal cchar=≠
syntax match rsFancyOperator "<=" conceal cchar=≤
syntax match rsFancyOperator ">=" conceal cchar=≥
syntax match rsFancyOperator "<<" conceal cchar=«