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Update app.py

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Files changed (1) hide show
  1. app.py +25 -155
app.py CHANGED
@@ -1,160 +1,30 @@
1
- import math
2
- import streamlit as st
3
- from PIL import Image
4
  import cv2
5
- import os
6
- import threading
7
-
8
- hide_streamlit_style = """
9
- <style>
10
- #root > div:nth-child(1) > div > div > div > div > section > div {padding-top: 0rem;
11
- padding-left: 1%;
12
- }
13
- </style>
 
 
 
14
  """
15
 
16
- st.set_page_config(layout="wide")
17
-
18
- def loadModel(n):
19
- super_res = cv2.dnn_superres.DnnSuperResImpl_create()
20
- super_res.readModel('models/ESPCN_x'+n+'.pb')
21
- return super_res
22
-
23
- # on removing (show_spinner=False), it will show that function is running on web app
24
- @st.experimental_memo(show_spinner=False)
25
- def upscale(file, task):
26
- with open(file.name, "wb") as f:
27
- f.write(file.getbuffer())
28
- print('No file found, so added in list files')
29
- if isinstance(task, str):
30
- super_res = loadModel(task)
31
- super_res.setModel('espcn', int(task))
32
- if file.type.split('/')[0] == 'image':
33
- img = cv2.imread(file.name)
34
- upscaled_image = super_res.upsample(img)
35
- print('I upscaled up to', task, 'times')
36
- output_file_path = "processed_" + file.name.split('.')[0] + ".png"
37
- cv2.imwrite(output_file_path, upscaled_image)
38
- with st.sidebar:
39
- st.success('Done!', icon="โœ…")
40
- return output_file_path
41
- elif file.type.split('/')[0] == 'video':
42
- # ์˜์ƒ ์—…์Šค์ผ€์ผ๋ง ์ฝ”๋“œ๋Š” ์ƒ๋žต (ํ•„์š”์‹œ ์ถ”๊ฐ€ ๊ฐ€๋Šฅ)
43
- pass
44
- return True
45
- else:
46
- # ์ปค์Šคํ…€ ์‚ฌ์ด์ฆˆ ์ฝ”๋“œ (ํ•„์š”์‹œ ์ถ”๊ฐ€)
47
- pass
48
-
49
- return True
50
-
51
- if 'disable_opt2' not in st.session_state:
52
- st.session_state.disable_opt2 = True
53
- if 'disable_opt1' not in st.session_state:
54
- st.session_state.disable_opt1 = False
55
- if 'disable_download' not in st.session_state:
56
- st.session_state.disable_download = True
57
- if 'disable_proceed' not in st.session_state:
58
- st.session_state.disable_proceed = False
59
-
60
- st.markdown(hide_streamlit_style, unsafe_allow_html=True)
61
-
62
- col1, _, col2 = st.columns([6, 1, 3], gap="small")
63
-
64
- def toggle_state_opt1():
65
- if st.session_state.get("opt1") == True:
66
- st.session_state.opt2 = False
67
- st.session_state.disable_opt2 = True
68
- else:
69
- st.session_state.opt2 = True
70
- st.session_state.disable_opt2 = False
71
-
72
- def toggle_state_opt2():
73
- if st.session_state.get("opt2") == True:
74
- st.session_state.opt1 = False
75
- st.session_state.disable_opt1 = True
76
- else:
77
- st.session_state.opt1 = True
78
- st.session_state.disable_opt1 = False
79
-
80
- toggle_state_opt2()
81
- toggle_state_opt1()
82
- options = ["2", "3", "4"]
83
-
84
- with col1:
85
- file = st.file_uploader(" ", type=['png', 'jpeg', 'jpg', 'pgm', 'jpe', 'mp4', 'mov'])
86
- if file is not None:
87
- bytes_data = file.getvalue()
88
- file_size = len(bytes_data)
89
- print("File size: ", file_size)
90
-
91
- if file.type.split('/')[0] == "image" and file_size > 1550000:
92
- st.session_state.disable_proceed = True
93
- with st.sidebar:
94
- st.info('Sorry, maximum size of image is 1.5MB', icon="โ„น๏ธ")
95
- elif file.type.split('/')[0] == "image":
96
- image = Image.open(file)
97
- st.session_state.disable_proceed = False
98
- st.image(image, caption="Upload Image", use_column_width=True)
99
- st.session_state.disable_proceed = False
100
- elif file.type.split('/')[0] == 'video' and file_size > 200000000:
101
- with st.sidebar:
102
- options = ["2", "3"]
103
- st.info('Sorry, maximum size of video is 200MB', icon="โ„น๏ธ")
104
- st.session_state.disable_proceed = True
105
- elif file.type.split('/')[0] == 'video':
106
- video = st.video(file)
107
- print(type(video))
108
- options = ["2", "3"]
109
- st.session_state.disable_proceed = False
110
- with st.sidebar:
111
- st.info('For custom size, currently I can process video without AI.', icon="โ„น๏ธ")
112
-
113
- with col2:
114
- st.markdown("\n")
115
- st.markdown("\n")
116
- st.markdown("\n")
117
-
118
- st.subheader(" UPSCALE RESOLUTION UP TO")
119
- st.markdown("\n")
120
- st.markdown("\n")
121
-
122
- opt1 = st.checkbox("MULTIPLES OF", key="opt1", value=True, on_change=toggle_state_opt1)
123
- st.selectbox("SELECT", options, key="opt1_selBox", disabled=st.session_state.disable_opt1)
124
-
125
- st.markdown("\n")
126
- st.markdown("\n")
127
- opt2 = st.checkbox("CUSTOM SIZE", key="opt2", on_change=toggle_state_opt2)
128
-
129
- st.number_input("Width", step=1, min_value=150, max_value=3840, value=900, key="width", disabled=st.session_state.disable_opt2)
130
- st.number_input("Height", step=1, min_value=150, max_value=2160, value=900, key="height", disabled=st.session_state.disable_opt2)
131
-
132
- st.markdown("\n")
133
- st.markdown("\n")
134
-
135
- if st.button(15*"&nbsp;"+"PROCEED"+"&nbsp;"*15, disabled=st.session_state.disable_proceed) and file is not None:
136
- if st.session_state.get('opt1') == True:
137
- task = st.session_state.opt1_selBox
138
- else:
139
- task = [st.session_state.width, st.session_state.height]
140
- print(task)
141
- result_file_path = upscale(file, task)
142
-
143
- if result_file_path:
144
- st.session_state.disable_download = False
145
- st.session_state.result_file_path = result_file_path
146
-
147
- st.markdown("\n")
148
- st.markdown("\n")
149
-
150
- if file is None:
151
- st.session_state.disable_download = True
152
 
153
- if st.session_state.disable_download:
154
- st.button(13*"&nbsp;"+"DOWNLOAD"+"&nbsp;"*13, disabled=True)
155
- else:
156
- with open(st.session_state.result_file_path, "rb") as download_file:
157
- st.download_button(label=13*"&nbsp;"+"DOWNLOAD"+"&nbsp;"*13, data=download_file, file_name='processed_' + file.name.split('.')[0] + ".png", mime="image/png")
 
 
 
158
 
159
- st.markdown("\n")
160
- st.markdown("\n")
 
1
+ import gradio as gr
 
 
2
  import cv2
3
+ import numpy as np
4
+
5
+ # ์ด๋ฏธ์ง€ ์—…์Šค์ผ€์ผ ํ•จ์ˆ˜
6
+ def upscale_image(input_image, radio_input):
7
+ upscale_factor = int(radio_input) # ์—…์Šค์ผ€์ผ ๋น„์œจ์„ ์ •์ˆ˜ํ˜•์œผ๋กœ ๋ณ€ํ™˜
8
+ # ์ž…๋ ฅ ์ด๋ฏธ์ง€๋ฅผ ์ฃผ์–ด์ง„ ์—…์Šค์ผ€์ผ ๋น„์œจ๋กœ ํฌ๊ธฐ ๋ณ€๊ฒฝ (๋ณด๊ฐ„๋ฒ•: INTER_CUBIC)
9
+ output_image = cv2.resize(input_image, None, fx=upscale_factor, fy=upscale_factor, interpolation=cv2.INTER_CUBIC)
10
+ return output_image
11
+
12
+ # ์ธํ„ฐํŽ˜์ด์Šค ์„ค๋ช…
13
+ DESCRIPTION = """
14
+ ์ด๋ฏธ์ง€์˜ ํฌ๊ธฐ์™€ ํ’ˆ์งˆ์„ ํ–ฅ์ƒ์‹œ์ผœ ๋ณด์„ธ์š”! (you can increase the size and quality of your images)
15
  """
16
 
17
+ # ์—…์Šค์ผ€์ผ ๋ ˆ๋ฒจ ์„ ํƒ ๋ผ๋””์˜ค ๋ฒ„ํŠผ
18
+ radio_input = gr.Radio(label="์—…์Šค์ผ€์ผ ๋ ˆ๋ฒจ์„ ์„ ํƒ ํ•˜์„ธ์š”. (Select Upscaling level)", choices=[2, 4, 6, 8], value=2)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
19
 
20
+ # Gradio ์ธํ„ฐํŽ˜์ด์Šค ์ •์˜
21
+ demo = gr.Interface(
22
+ fn=upscale_image,
23
+ inputs=[gr.Image(label="์ž…๋ ฅ ์ด๋ฏธ์ง€ (Input Image)", type="numpy"), radio_input],
24
+ outputs=gr.Image(label="์—…์Šค์ผ€์ผ๋œ ์ด๋ฏธ์ง€(Upscaled Image)"),
25
+ title="Image Upscaler",
26
+ description=DESCRIPTION
27
+ )
28
 
29
+ # ์ธํ„ฐํŽ˜์ด์Šค ์‹คํ–‰
30
+ demo.launch(show_api=False)