Spaces:
Build error
Build error
File size: 9,322 Bytes
b65c5e3 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 |
import torch
import argparse
import numpy as np
from helper import *
from config.GlobalVariables import *
from SynthesisNetwork import SynthesisNetwork
from DataLoader import DataLoader
import convenience
import gradio as gr
#@title Demo
device = 'cpu'
num_samples = 10
net = SynthesisNetwork(weight_dim=256, num_layers=3).to(device)
if not torch.cuda.is_available():
try: # retrained model also contains loss in dict
net.load_state_dict(torch.load('./model/250000.pt', map_location=torch.device(device))["model_state_dict"])
except:
net.load_state_dict(torch.load('./model/250000.pt', map_location=torch.device(device)))
dl = DataLoader(num_writer=1, num_samples=10, divider=5.0, datadir='./data/writers')
writer_options = [5, 14, 15, 16, 17, 22, 25, 80, 120, 137, 147, 151]
all_loaded_data = []
avail_char = "0 1 2 3 4 5 6 7 8 9 a b c d e f g h i j k l m n o p q r s t u v w x y z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z ! ? \" ' * + - = : ; , . < > \ / [ ] ( ) # $ % &"
avail_char_list = avail_char.split(" ")
for writer_id in [120, 80]:
loaded_data = dl.next_batch(TYPE='TRAIN', uid=writer_id, tids=list(range(num_samples)))
all_loaded_data.append(loaded_data)
default_loaded_data = all_loaded_data[-1]
# for writer interpolation
def interpolate_writers(target_word, weight):
image = convenience.sample_blended_writers([1 - weight, weight], target_word, net, all_loaded_data, device).convert("RGB")
return image
def choose_blend_writers(writer1, writer2):
id1, id2 = int(writer1.split(" ")[1]), int(writer1.split(" ")[1])
all_loaded_data.clear()
for writer_id in [id1, id2]:
loaded_data = dl.next_batch(TYPE='TRAIN', uid=writer_id, tids=list(range(num_samples)))
all_loaded_data.append(loaded_data)
return gr.Slider.update(label=f"{writer1} vs. {writer2}")
'''
def choose_writer(writ, c1, c2, c3, c4, val):
all_loaded_data.clear()
w = int(writ.split(" ")[1])
loaded_data = dl.next_batch(TYPE='TRAIN', uid=w, tids=list(range(num_samples)))
all_loaded_data.append(loaded_data)
return char_grid(c1, c2, c3, c4, val)
'''
# for character grrid
def choose_grid_chars(c1, c2, c3, c4):
return gr.Button.update(value=f"Blend {c1}, {c2}, {c3}, and {c4}!")
def char_grid(c1, c2, c3, c4):
image = convenience.sample_character_grid([c1, c2, c3, c4], 5, net, [default_loaded_data], device).convert("RGB")
return image
# for character blend
def interpolate_chars(c1, c2, weight):
image = convenience.sample_blended_chars([1 - weight, weight], [c1, c2], net, [default_loaded_data], device).convert("RGB")
return image
def choose_blend_chars(c1, c2):
return gr.Slider.update(label=f"'{c1}' vs. '{c2}'")
# for MDN
def mdn_sample(word, maxs, maxr):
image = convenience.mdn_single_sample(word, maxs, maxr, net, [default_loaded_data], device).convert("RGB")
return image
"""
def char_vid(word):
#make word list
convenience.char_interpolation_video(word_list, 10, net, [default_loaded_data], device).convert('RGB')
vid_path = f"/content/drive/MyDrive/Colab Notebooks/Spring22/decoupled-style-descriptors-eb/results/abcdefg_video.mov"
return gr.Video.update(value=vid_path)
"""
with gr.Blocks() as demo:
with gr.Tabs():
with gr.TabItem("Blend Writers"):
target_word = gr.Textbox(label="Target Word", value="hello world", max_lines=1)
with gr.Row():
left_ratio_options = ["Style " + str(id) for i, id in enumerate(writer_options) if i % 2 == 0]
right_ratio_options = ["Style " + str(id) for i, id in enumerate(writer_options) if i % 2 == 1]
with gr.Column():
writer1 = gr.Radio(left_ratio_options, value="Style 120", label="Style for first writer")
with gr.Column():
writer2 = gr.Radio(right_ratio_options, value="Style 80", label="Style for second writer")
with gr.Row():
writer_slider = gr.Slider(0, 1, value=0.3, label="Style 120 vs. Style 80")
with gr.Row():
writer_submit = gr.Button("Submit")
with gr.Row():
writer_default_image = convenience.sample_blended_writers([0.7, 0.3], "hello world", net, all_loaded_data, device).convert("RGB")
writer_output = gr.Image(writer_default_image)
writer_submit.click(fn=interpolate_writers, inputs=[target_word, writer_slider], outputs=[writer_output])
writer_slider.change(fn=interpolate_writers, inputs=[target_word, writer_slider], outputs=[writer_output])
target_word.submit(fn=interpolate_writers, inputs=[target_word, writer_slider], outputs=[writer_output])
writer1.change(fn=choose_blend_writers, inputs=[writer1, writer2], outputs=[writer_slider])
writer2.change(fn=choose_blend_writers, inputs=[writer1, writer2], outputs=[writer_slider])
with gr.TabItem("Blend Characters"):
with gr.Row():
with gr.Column():
char1 = gr.Dropdown(choices=avail_char_list, value="y", label="Character 1")
with gr.Column():
char2 = gr.Dropdown(choices=avail_char_list, value="s", label="Character 2")
with gr.Row():
char_slider = gr.Slider(0, 1, value=0.3, label="'y' vs. 's'")
with gr.Row():
char_default_image = convenience.sample_blended_chars([0.7, 0.3], ["y", "s"], net, [default_loaded_data], device).convert("RGB")
char_output = gr.Image(char_default_image)
char_slider.change(fn=interpolate_chars, inputs=[char1, char2, char_slider], outputs=[char_output])
char1.change(fn=choose_blend_chars, inputs=[char1, char2], outputs=[char_slider])
char2.change(fn=choose_blend_chars, inputs=[char1, char2], outputs=[char_slider])
"""
with gr.TabItem("Character Grid"): #slow
with gr.Row():
with gr.Column():
char1 = gr.Dropdown(choices=avail_char_list, value="y", label="Character 1")
with gr.Column():
char2 = gr.Dropdown(choices=avail_char_list, value="s", label="Character 2")
with gr.Column():
char3 = gr.Dropdown(choices=avail_char_list, value="u", label="Character 3")
with gr.Column():
char4 = gr.Dropdown(choices=avail_char_list, value="n", label="Character 4")
with gr.Row():
submit_button = gr.Button(value="Blend y, s, u, and n!")
'''
with gr.Row():
radio_options2 = ["Writer " + str(n) for n in writer_options]
writer = gr.Radio(radio_options2, value="Writer 80", label="Style for Writer")
writer.change(fn=choose_writer, inputs=[writer, char1, char2, char3, char4, slider2], outputs=[output])
'''
#slider2 = gr.Slider(2, 20, value=10, label="Grid Size", step=1)
default_image = convenience.sample_character_grid(['y', 's', 'u', 'n'], 10, net, [default_loaded_data], device).convert("RGB")
output = gr.Image(default_image)
char1.change(fn=choose_grid_chars, inputs=[char1, char2, char3, char4], outputs=[submit_button])
char2.change(fn=choose_grid_chars, inputs=[char1, char2, char3, char4], outputs=[submit_button])
char3.change(fn=choose_grid_chars, inputs=[char1, char2, char3, char4], outputs=[submit_button])
char4.change(fn=choose_grid_chars, inputs=[char1, char2, char3, char4], outputs=[submit_button])
#slider2.change(fn=char_grid, inputs=[char1, char2, char3, char4, slider2], outputs=[output])
submit_button.click(fn=char_grid, inputs=[char1, char2, char3, char4], outputs=[output])
"""
with gr.TabItem("Add Randomness"):
mdn_word = gr.Textbox(label="Target Word", value="hello world", max_lines=1)
'''
with gr.Row():
radio_options3 = ["Writer " + str(n) for n in writer_options]
writer = gr.Radio(radio_options3, value="Writer 80", label="Style for Writer")
writer.change(fn=new_writer_mdn, inputs=[writer, slider3, slider4], outputs=[output])
'''
with gr.Row():
with gr.Column():
max_rand = gr.Slider(0, 1, value=1, label="Maximum Randomness")
with gr.Column():
scale_rand = gr.Slider(0, 3, value=0.5, label="Scale of Randomness")
with gr.Row():
sample_button = gr.Button(value="Resample!")
with gr.Row():
default_im = convenience.mdn_single_sample("hello world", 0.5, 1, net, [default_loaded_data], device).convert('RGB')
mdn_output = gr.Image(default_im)
max_rand.change(fn=mdn_sample, inputs=[mdn_word, scale_rand, max_rand], outputs=[mdn_output])
scale_rand.change(fn=mdn_sample, inputs=[mdn_word, scale_rand, max_rand], outputs=[mdn_output])
sample_button.click(fn=mdn_sample, inputs=[mdn_word, scale_rand, max_rand], outputs=[mdn_output])
mdn_word.submit(fn=mdn_sample, inputs=[mdn_word, scale_rand, max_rand], outputs=[mdn_output])
demo.launch()
|