GIMP-ML/gimp-plugins/syncWeights.py

import requests
import os
from gimpfu import *

def download_file_from_google_drive(id, destination,fileSize):
	URL = "https://docs.google.com/uc?export=download"
	session = requests.Session()
	response = session.get(URL, params = { 'id' : id }, stream = True)
	token = get_confirm_token(response)
	if token:
		params = { 'id' : id, 'confirm' : token }
		response = session.get(URL, params = params, stream = True)
	save_response_content(response, destination,fileSize)    

def get_confirm_token(response):
	for key, value in response.cookies.items():
		if key.startswith('download_warning'):
			return value
	return None

def save_response_content(response, destination,fileSize):
	CHUNK_SIZE = 1 * 1024 * 1024
	n = 0
	with open(destination, "wb") as f:
		for chunk in response.iter_content(CHUNK_SIZE):
			if chunk: # filter out keep-alive new chunks
				f.write(chunk)
				n = n + 1
				gimp.progress_update(float(n)/float(fileSize))
				gimp.displays_flush() 

def sync(path,flag):
	if not os.path.isdir(path):
		os.mkdir(path)

	#deepmatting
	model = 'deepmatting'
	file_id = '11dxJKH8p7xkcGtMtvzMUw-ua6pZ0vrfw'
	fileSize = 108 #in MB
	mFName = 'stage1_sad_57.1.pth'
	if not os.path.isdir(path + '/' + model):
		os.mkdir(path + '/' + model)
	destination = path + '/' + model + '/' + mFName
	if not os.path.isfile(destination):
		gimp.progress_init("Downloading " + model +"(~" + str(fileSize) + "MB)...")
		download_file_from_google_drive(file_id, destination,fileSize)

	#MiDaS
	model = 'MiDaS'
	file_id = '11eap5jc-4SCX_sMMxYE6Bi5q_BKw894a'
	fileSize = 143 #in MB
	mFName = 'model.pt'
	if not os.path.isdir(path + '/' + model):
		os.mkdir(path + '/' + model)
	destination = path + '/' + model + '/' + mFName
	if not os.path.isfile(destination):
		gimp.progress_init("Downloading " + model +"(~" + str(fileSize) + "MB)...")
		download_file_from_google_drive(file_id, destination,fileSize)

	#colorize
	model = 'colorize'
	file_id = '12tKfNIDewgJPbW3FiITV_AMbOtZWP0Eg'
	fileSize = 130 #in MB
	mFName = 'caffemodel.pth'
	if not os.path.isdir(path + '/' + model):
		os.mkdir(path + '/' + model)
	destination = path + '/' + model + '/' + mFName
	if not os.path.isfile(destination):
		gimp.progress_init("Downloading " + model +"(~" + str(fileSize) + "MB)...")
		download_file_from_google_drive(file_id, destination,fileSize)

	#super_resolution
	model = 'super_resolution'
	file_id = '11GwnqKsYo2jujACD_GMB9uMTQfsuk2RY'
	fileSize = 6 #in MB
	mFName = 'model_srresnet.pth'
	if not os.path.isdir(path + '/' + model):
		os.mkdir(path + '/' + model)
	destination = path + '/' + model + '/' + mFName
	if not os.path.isfile(destination):
		gimp.progress_init("Downloading " + model +"(~" + str(fileSize) + "MB)...")
		download_file_from_google_drive(file_id, destination,fileSize)

	#faceparse
	model = 'faceparse'
	file_id = '115nnWD0FoDkplTJYBY7lTQu1VNXFbCA_'
	fileSize = 51 #in MB
	mFName = '79999_iter.pth'
	if not os.path.isdir(path + '/' + model):
		os.mkdir(path + '/' + model)
	destination = path + '/' + model + '/' + mFName
	if not os.path.isfile(destination):
		gimp.progress_init("Downloading " + model +"(~" + str(fileSize) + "MB)...")
		download_file_from_google_drive(file_id, destination,fileSize)

	#deblur
	model = 'deblur'
	file_id = '11Tt4a_URCer4ZxZA2l3dLMRVeSwoBFYP'
	fileSize = 233 #in MB
	mFName = 'mymodel.pth'
	if not os.path.isdir(path + '/' + model):
		os.mkdir(path + '/' + model)
	destination = path + '/' + model + '/' + mFName
	if not os.path.isfile(destination):
		gimp.progress_init("Downloading " + model +"(~" + str(fileSize) + "MB)...")
		download_file_from_google_drive(file_id, destination,fileSize)
	file_id = '11MCHMVhs4aaMGSusqiu0rtAo97xuC1GA'
	fileSize = 234 #in MB
	mFName = 'best_fpn.h5'
	destination = path + '/' + model + '/' + mFName
	if not os.path.isfile(destination):
		gimp.progress_init("Downloading " + model +"(~" + str(fileSize) + "MB)...")
		download_file_from_google_drive(file_id, destination,fileSize)

	#deeplabv3
	model = 'deeplabv3'
	file_id = '11rX1MHjhmtaoFTQ7ao4p6b31Oz300i0G'
	fileSize = 233 #in MB
	mFName = 'deeplabv3+model.pt'
	if not os.path.isdir(path + '/' + model):
		os.mkdir(path + '/' + model)
	destination = path + '/' + model + '/' + mFName
	if not os.path.isfile(destination):
		gimp.progress_init("Downloading " + model +"(~" + str(fileSize) + "MB)...")
		download_file_from_google_drive(file_id, destination,fileSize)

	#facegen
	model = 'facegen'
	ifolder = 'label2face_512p'
	if not os.path.isdir(path + '/' + model):
		os.mkdir(path + '/' + model)
	if not os.path.isdir(path + '/' + model + '/' + ifolder):
		os.mkdir(path + '/' + model + '/' + ifolder)
	file_id = '122dREA3R0vsSWbrzBwhF5oqSEJ7yrRbL'
	fileSize = 342 #in MB
	mFName = 'latest_net_G.pth'
	
	destination = path + '/' + model + '/' + ifolder + '/' + mFName
	if not os.path.isfile(destination):
		gimp.progress_init("Downloading " + model +"(~" + str(fileSize) + "MB)...")
		download_file_from_google_drive(file_id, destination,fileSize)