usmanyousaf commited on
Commit
c50f6f8
1 Parent(s): c7354ea

Update app.py

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Files changed (1) hide show
  1. app.py +50 -205
app.py CHANGED
@@ -1,21 +1,21 @@
1
- import os
2
  import cv2
3
- import gradio as gr
4
  import numpy as np
5
- import random
6
  import base64
7
  import requests
8
  import json
9
  import time
 
 
10
 
11
-
12
  def tryon(person_img, garment_img, seed, randomize_seed):
13
- post_start_time = time.time()
14
  if person_img is None or garment_img is None:
15
- gr.Warning("Empty image")
16
  return None, None, "Empty image"
17
  if randomize_seed:
18
  seed = random.randint(0, MAX_SEED)
 
19
  encoded_person_img = cv2.imencode('.jpg', cv2.cvtColor(person_img, cv2.COLOR_RGB2BGR))[1].tobytes()
20
  encoded_person_img = base64.b64encode(encoded_person_img).decode('utf-8')
21
  encoded_garment_img = cv2.imencode('.jpg', cv2.cvtColor(garment_img, cv2.COLOR_RGB2BGR))[1].tobytes()
@@ -33,30 +33,23 @@ def tryon(person_img, garment_img, seed, randomize_seed):
33
  }
34
  try:
35
  response = requests.post(url, headers=headers, data=json.dumps(data), timeout=50)
36
- # print("post response code", response.status_code)
37
  if response.status_code == 200:
38
  result = response.json()['result']
39
  status = result['status']
40
  if status == "success":
41
  uuid = result['result']
42
- # print(uuid)
43
  except Exception as err:
44
- print(f"Post Exception Error: {err}")
45
- raise gr.Error("Too many users, please try again later")
46
- post_end_time = time.time()
47
- print(f"post time used: {post_end_time-post_start_time}")
48
 
49
- get_start_time =time.time()
50
  time.sleep(9)
51
  Max_Retry = 12
52
  result_img = None
53
  info = ""
54
- err_log = ""
55
  for i in range(Max_Retry):
56
  try:
57
  url = "http://" + os.environ['tryon_url'] + "Query?taskId=" + uuid
58
  response = requests.get(url, headers=headers, timeout=20)
59
- # print("get response code", response.status_code)
60
  if response.status_code == 200:
61
  result = response.json()['result']
62
  status = result['status']
@@ -68,208 +61,60 @@ def tryon(person_img, garment_img, seed, randomize_seed):
68
  info = "Success"
69
  break
70
  elif status == "error":
71
- err_log = f"Status is Error"
72
  info = "Error"
73
  break
74
  else:
75
- # print(response.text)
76
- err_log = "URL error, pleace contact the admin"
77
- info = "URL error, pleace contact the admin"
78
  break
79
  except requests.exceptions.ReadTimeout:
80
- err_log = "Http Timeout"
81
  info = "Http Timeout, please try again later"
82
  except Exception as err:
83
- err_log = f"Get Exception Error: {err}"
84
  time.sleep(1)
85
- get_end_time = time.time()
86
- print(f"get time used: {get_end_time-get_start_time}")
87
- print(f"all time used: {get_end_time-get_start_time+post_end_time-post_start_time}")
88
  if info == "":
89
- err_log = f"No image after {Max_Retry} retries"
90
- info = "Too many users, please try again later"
91
  if info != "Success":
92
- print(f"Error Log: {err_log}")
93
- gr.Warning("Too many users, please try again later")
94
-
95
- return result_img, seed, info
96
-
97
- def start_tryon(person_img, garment_img, seed, randomize_seed):
98
- start_time = time.time()
99
- if person_img is None or garment_img is None:
100
- return None, None, "Empty image"
101
- if randomize_seed:
102
- seed = random.randint(0, MAX_SEED)
103
- encoded_person_img = cv2.imencode('.jpg', cv2.cvtColor(person_img, cv2.COLOR_RGB2BGR))[1].tobytes()
104
- encoded_person_img = base64.b64encode(encoded_person_img).decode('utf-8')
105
- encoded_garment_img = cv2.imencode('.jpg', cv2.cvtColor(garment_img, cv2.COLOR_RGB2BGR))[1].tobytes()
106
- encoded_garment_img = base64.b64encode(encoded_garment_img).decode('utf-8')
107
-
108
- url = "http://" + os.environ['tryon_url']
109
- token = os.environ['token']
110
- cookie = os.environ['Cookie']
111
- referer = os.environ['referer']
112
-
113
- headers = {'Content-Type': 'application/json', 'token': token, 'Cookie': cookie, 'referer': referer}
114
- data = {
115
- "clothImage": encoded_garment_img,
116
- "humanImage": encoded_person_img,
117
- "seed": seed
118
- }
119
-
120
- result_img = None
121
- try:
122
- session = requests.Session()
123
- response = session.post(url, headers=headers, data=json.dumps(data), timeout=60)
124
- print("response code", response.status_code)
125
- if response.status_code == 200:
126
- result = response.json()['result']
127
- status = result['status']
128
- if status == "success":
129
- result = base64.b64decode(result['result'])
130
- result_np = np.frombuffer(result, np.uint8)
131
- result_img = cv2.imdecode(result_np, cv2.IMREAD_UNCHANGED)
132
- result_img = cv2.cvtColor(result_img, cv2.COLOR_RGB2BGR)
133
- info = "Success"
134
- else:
135
- info = "Try again latter"
136
- else:
137
- print(response.text)
138
- info = "URL error, pleace contact the admin"
139
- except requests.exceptions.ReadTimeout:
140
- print("timeout")
141
- info = "Too many users, please try again later"
142
- raise gr.Error("Too many users, please try again later")
143
- except Exception as err:
144
- print(f"其他错误: {err}")
145
- info = "Error, pleace contact the admin"
146
- end_time = time.time()
147
- print(f"time used: {end_time-start_time}")
148
 
149
  return result_img, seed, info
150
 
151
  MAX_SEED = 999999
152
 
153
- example_path = os.path.join(os.path.dirname(__file__), 'assets')
154
-
155
- garm_list = os.listdir(os.path.join(example_path,"cloth"))
156
- garm_list_path = [os.path.join(example_path,"cloth",garm) for garm in garm_list]
157
-
158
- human_list = os.listdir(os.path.join(example_path,"human"))
159
- human_list_path = [os.path.join(example_path,"human",human) for human in human_list]
160
-
161
- css="""
162
- #col-left {
163
- margin: 0 auto;
164
- max-width: 430px;
165
- }
166
- #col-mid {
167
- margin: 0 auto;
168
- max-width: 430px;
169
- }
170
- #col-right {
171
- margin: 0 auto;
172
- max-width: 430px;
173
- }
174
- #col-showcase {
175
- margin: 0 auto;
176
- max-width: 1100px;
177
- }
178
- #button {
179
- color: blue;
180
- }
181
- """
182
-
183
- def load_description(fp):
184
- with open(fp, 'r', encoding='utf-8') as f:
185
- content = f.read()
186
- return content
187
-
188
- def change_imgs(image1, image2):
189
- return image1, image2
190
-
191
- with gr.Blocks(css=css) as Tryon:
192
- gr.HTML(load_description("assets/title.md"))
193
- with gr.Row():
194
- with gr.Column(elem_id = "col-left"):
195
- gr.HTML("""
196
- <div style="display: flex; justify-content: center; align-items: center; text-align: center; font-size: 20px;">
197
- <div>
198
- Step 1. Upload a person image ⬇️
199
- </div>
200
- </div>
201
- """)
202
- with gr.Column(elem_id = "col-mid"):
203
- gr.HTML("""
204
- <div style="display: flex; justify-content: center; align-items: center; text-align: center; font-size: 20px;">
205
- <div>
206
- Step 2. Upload a garment image ⬇️
207
- </div>
208
- </div>
209
- """)
210
- with gr.Column(elem_id = "col-right"):
211
- gr.HTML("""
212
- <div style="display: flex; justify-content: center; align-items: center; text-align: center; font-size: 20px;">
213
- <div>
214
- Step 3. Press “Run” to get try-on results
215
- </div>
216
- </div>
217
- """)
218
- with gr.Row():
219
- with gr.Column(elem_id = "col-left"):
220
- imgs = gr.Image(label="Person image", sources='upload', type="numpy")
221
- # category = gr.Dropdown(label="Garment category", choices=['upper_body', 'lower_body', 'dresses'], value="upper_body")
222
- example = gr.Examples(
223
- inputs=imgs,
224
- examples_per_page=12,
225
- examples=human_list_path
226
- )
227
- with gr.Column(elem_id = "col-mid"):
228
- garm_img = gr.Image(label="Garment image", sources='upload', type="numpy")
229
- example = gr.Examples(
230
- inputs=garm_img,
231
- examples_per_page=12,
232
- examples=garm_list_path
233
- )
234
- with gr.Column(elem_id = "col-right"):
235
- image_out = gr.Image(label="Result", show_share_button=False)
236
- with gr.Row():
237
- seed = gr.Slider(
238
- label="Seed",
239
- minimum=0,
240
- maximum=MAX_SEED,
241
- step=1,
242
- value=0,
243
- )
244
- randomize_seed = gr.Checkbox(label="Random seed", value=True)
245
- with gr.Row():
246
- seed_used = gr.Number(label="Seed used")
247
- result_info = gr.Text(label="Response")
248
- # try_button = gr.Button(value="Run", elem_id="button")
249
- test_button = gr.Button(value="Run", elem_id="button")
250
-
251
-
252
- # try_button.click(fn=start_tryon, inputs=[imgs, garm_img, seed, randomize_seed], outputs=[image_out, seed_used, result_info], api_name='tryon',concurrency_limit=10)
253
- test_button.click(fn=tryon, inputs=[imgs, garm_img, seed, randomize_seed], outputs=[image_out, seed_used, result_info], api_name=False, concurrency_limit=45)
254
-
255
- with gr.Column(elem_id = "col-showcase"):
256
- gr.HTML("""
257
- <div style="display: flex; justify-content: center; align-items: center; text-align: center; font-size: 20px;">
258
- <div> </div>
259
- <br>
260
- <div>
261
- Virtual try-on examples in pairs of person and garment images
262
- </div>
263
- </div>
264
- """)
265
- show_case = gr.Examples(
266
- examples=[
267
- ["assets/examples/model2.png", "assets/examples/garment2.png", "assets/examples/result2.png"],
268
- ["assets/examples/model3.png", "assets/examples/garment3.png", "assets/examples/result3.png"],
269
- ["assets/examples/model1.png", "assets/examples/garment1.png", "assets/examples/result1.png"],
270
- ],
271
- inputs=[imgs, garm_img, image_out],
272
- label=None
273
- )
274
-
275
- Tryon.queue(api_open=False).launch(show_api=False)
 
1
+ import streamlit as st
2
  import cv2
 
3
  import numpy as np
 
4
  import base64
5
  import requests
6
  import json
7
  import time
8
+ import random
9
+ import os
10
 
11
+ # Function to handle the try-on process
12
  def tryon(person_img, garment_img, seed, randomize_seed):
 
13
  if person_img is None or garment_img is None:
14
+ st.warning("Empty image")
15
  return None, None, "Empty image"
16
  if randomize_seed:
17
  seed = random.randint(0, MAX_SEED)
18
+
19
  encoded_person_img = cv2.imencode('.jpg', cv2.cvtColor(person_img, cv2.COLOR_RGB2BGR))[1].tobytes()
20
  encoded_person_img = base64.b64encode(encoded_person_img).decode('utf-8')
21
  encoded_garment_img = cv2.imencode('.jpg', cv2.cvtColor(garment_img, cv2.COLOR_RGB2BGR))[1].tobytes()
 
33
  }
34
  try:
35
  response = requests.post(url, headers=headers, data=json.dumps(data), timeout=50)
 
36
  if response.status_code == 200:
37
  result = response.json()['result']
38
  status = result['status']
39
  if status == "success":
40
  uuid = result['result']
 
41
  except Exception as err:
42
+ st.error(f"Post Exception Error: {err}")
43
+ return None, None, "Too many users, please try again later"
 
 
44
 
 
45
  time.sleep(9)
46
  Max_Retry = 12
47
  result_img = None
48
  info = ""
 
49
  for i in range(Max_Retry):
50
  try:
51
  url = "http://" + os.environ['tryon_url'] + "Query?taskId=" + uuid
52
  response = requests.get(url, headers=headers, timeout=20)
 
53
  if response.status_code == 200:
54
  result = response.json()['result']
55
  status = result['status']
 
61
  info = "Success"
62
  break
63
  elif status == "error":
 
64
  info = "Error"
65
  break
66
  else:
67
+ info = "URL error, please contact the admin"
 
 
68
  break
69
  except requests.exceptions.ReadTimeout:
 
70
  info = "Http Timeout, please try again later"
71
  except Exception as err:
72
+ info = f"Get Exception Error: {err}"
73
  time.sleep(1)
74
+
 
 
75
  if info == "":
76
+ info = f"No image after {Max_Retry} retries"
 
77
  if info != "Success":
78
+ st.warning("Too many users, please try again later")
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
79
 
80
  return result_img, seed, info
81
 
82
  MAX_SEED = 999999
83
 
84
+ # Set up the Streamlit app
85
+ st.set_page_config(page_title="Virtual Try-On", page_icon=":guardsman:", layout="wide")
86
+
87
+ st.title("Virtual Try-On")
88
+ st.markdown("""
89
+ **Step 1:** Upload a person image ⬇️
90
+ **Step 2:** Upload a garment image ⬇️
91
+ **Step 3:** Press “Run” to get try-on results
92
+ """)
93
+
94
+ col1, col2 = st.columns(2)
95
+
96
+ with col1:
97
+ person_img = st.file_uploader("Person Image", type=["jpg", "jpeg", "png"])
98
+
99
+ with col2:
100
+ garment_img = st.file_uploader("Garment Image", type=["jpg", "jpeg", "png"])
101
+
102
+ if person_img and garment_img:
103
+ person_img = np.array(bytearray(person_img.read()), dtype=np.uint8)
104
+ garment_img = np.array(bytearray(garment_img.read()), dtype=np.uint8)
105
+ person_img = cv2.imdecode(person_img, cv2.IMREAD_COLOR)
106
+ garment_img = cv2.imdecode(garment_img, cv2.IMREAD_COLOR)
107
+
108
+ st.sidebar.header("Options")
109
+ seed = st.sidebar.slider("Seed", 0, MAX_SEED, 0)
110
+ randomize_seed = st.sidebar.checkbox("Random seed", value=True)
111
+
112
+ if st.sidebar.button("Run"):
113
+ result_img, seed_used, result_info = tryon(person_img, garment_img, seed, randomize_seed)
114
+ if result_info == "Success":
115
+ st.image(result_img, caption="Result", channels="BGR")
116
+ st.sidebar.text(f"Seed used: {seed_used}")
117
+ else:
118
+ st.sidebar.error(result_info)
119
+ else:
120
+ st.sidebar.warning("Please upload both images to proceed.")