forked from wiibrew/pytorch-yolo2
-
Notifications
You must be signed in to change notification settings - Fork 10
/
Copy pathGUI.py
250 lines (218 loc) · 10.7 KB
/
GUI.py
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
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
# coding: utf-8
from time import time, ctime, localtime
#python version
from sys import version
print('Python version:',version)
#import ttk
if version[0] == '2':
from Tkinter import *
from ttk import Button, Checkbutton, Label, Entry, Combobox
else: #version[0] == '3':
from tkinter import *
from tkinter.ttk import Button, Checkbutton, Label, Entry, Combobox
from PIL import ImageTk, Image
#from subprocess import call
from Inference import Inference
models=['yolo2', 'vgg11', 'vgg13', 'vgg16', 'vgg19']
backends = ['tensorflow', 'caffe2']
devices = ["CPU" , "CUDA:0"]
#from IR_Extraction import get_list_of_sequencial_nodes
#options_for_seq_search = get_list_of_sequencial_nodes()
options_for_seq_search = list(reversed( [['Conv'],
['Conv', 'Add'],
['Conv', 'Add', 'Relu'],
['Conv', 'Add', 'Relu', 'MaxPool'],
['Conv', 'BatchNormalization'],
['Conv', 'BatchNormalization', 'LeakyRelu'],
['Conv', 'BatchNormalization', 'LeakyRelu', 'MaxPool']]))
seq_search_TXT = ["-> ".join(seq) for seq in options_for_seq_search]
class GUI():
vb_dict = {}
infer = None
modelName,backend,device = "", "", ""
def __init__(self, master):
self.master = master
self.row = 0 #for grid
self.all_comp = []
self.get_comp = []
self.vb_name = []
self.buildGUI_1()
#self.show_all_variable()
# --------Mode interface ---------
def buildGUI_1(self): #CNN
self.master.title('build CNN -- load model')
self.label_1to1_text_combobox("Model", models , width=50 ) # models = ("inception_v3","vgg16"...)
self.label_1to1_text_entry(name="ImageUrl", default_text="data/person.jpg", width=100)
self.label_1to1_text_combobox("Backend", backends , width=50 )
self.label_1to1_text_combobox("Device", devices , width=50 )
self.label_1to1_text_combobox("SearchSeq", seq_search_TXT , width=100 )
self.vb_dict = self.generate_variable_dict()
self.button(self.click_show_orig_img, "Show Orig Image")
self.button(self.click_inference, "Inference")
self.button(self.click_show_model, "Model Visualization")
self.button(self.click_search_sequencial_nodes, "Search Nodes")
self.show_str = StringVar()
self.textvariable_label(textvariable=self.show_str)
def click_show_orig_img(self):
self.vb_dict = self.generate_variable_dict() # cannot skip
img_path = self.vb_dict["ImageUrl"]
self.img_label(path=img_path,title='Original image')
def click_show_model(self):
#build infer
self.build_infer()
show_str = "\nmodel name = {} \n\nnumber of param = {} \n\nnumber of flops = {}\n\n ".format(self.infer.modelName , self.infer.n_param, self.infer.n_flops)
import webbrowser
webbrowser.open(self.infer.svgfilepath) # open <svgfilepath> in web
self.show_str.set(show_str)#show txt
def build_infer(self):
self.show_str.set(" \n\n\n!!!!! ")#clear old txt
#self.show_str.set("Please wait....building model")#show txt
self.vb_dict = self.generate_variable_dict() # cannot skip
modelName = self.vb_dict["Model"]
backend = self.vb_dict["Backend"]
device = self.vb_dict["Device"]
is_chg = not (self.modelName==modelName and self.backend==backend and self.device==device)
if (self.infer is None) or (is_chg):
self.infer = Inference(modelName=modelName,backend=backend, device=device)
self.modelName=modelName; self.backend=backend; self.device=device
def click_search_sequencial_nodes(self):
#build infer
self.build_infer()
#seq: ["Conv", "Add", ...]
self.vb_dict = self.generate_variable_dict() # cannot skip
seqTXT = self.vb_dict["SearchSeq"]
seq = options_for_seq_search[seq_search_TXT.index(seqTXT)]
#search_n_visualize_sequence
#self.show_str.set("Please wait....search_sequencial_nodes")#show txt
show_str, is_match, marked_svgfilepath = self.infer.search_n_visualize_sequence(seq)
self.show_str.set(str(show_str))#show txt
if is_match:
import webbrowser
webbrowser.open(marked_svgfilepath) # open <svgfilepath> in web
def click_inference(self):
#build infer
self.build_infer()
#img
self.vb_dict = self.generate_variable_dict() # cannot skip
imgfile = self.vb_dict["ImageUrl"]
#predict
#self.show_str.set("Please wait....predicting")#show txt
str_, time_cost = self.infer.predict(imgfile=imgfile)
str_ = "Time cost : {} \n\n".format(time_cost) + str_
self.show_str.set(str(str_))#show txt
#pred img
if self.infer.is_obj_det:# if is Object Detect
self.img_label(path="predictions_samesize.jpg",title='Prediction image')
# --------Component Conbination ---------
def label_1to1_text_combobox(self, name="", values=("1","2"), default_Chosen=0, width=10):
self.vb_name.append(name.split()[0])
self.all_comp.append(Label(self.master, text=name))
#self.all_comp[-1].pack(anchor='w')
self.all_comp[-1].grid(row=self.row, sticky=E) #
self.get_comp.append(StringVar(self.master, values[default_Chosen]))
self.all_comp.append(Combobox(self.master, width=width, textvariable=self.get_comp[-1]))
#self.all_comp[-1].pack()
self.all_comp[-1]['values'] = values
self.all_comp[-1].current(default_Chosen)
self.all_comp[-1].grid(row=self.row, column=1, sticky=W) #
self.row += 1 #
def label_1to1_float_entry(self, name="", default_float=0.01, width=5):
self.vb_name.append(name.split()[0])
self.all_comp.append(Label(self.master, text=name))
#self.all_comp[-1].pack(anchor='w')
self.all_comp[-1].grid(row=self.row, sticky=E) #
self.get_comp.append(DoubleVar(self.master, default_float))
self.all_comp.append(Entry(self.master, width=width, textvariable=self.get_comp[-1]))
#self.all_comp[-1].pack()
self.all_comp[-1].grid(row=self.row, column=1, sticky=W) #
self.row += 1 #
def label_1to1_int_entry(self, name="", default_int=-1, width=10):
self.vb_name.append(name.split()[0])
self.all_comp.append(Label(self.master, text=name))
#self.all_comp[-1].pack(anchor='w')
self.all_comp[-1].grid(row=self.row, sticky=E) #
self.get_comp.append(IntVar(self.master, default_int))
self.all_comp.append(Entry(self.master, width=width, textvariable=self.get_comp[-1]))
#self.all_comp[-1].pack()
self.all_comp[-1].grid(row=self.row, column=1, sticky=W) #
self.row += 1 #
def label_1to1_text_entry(self, name="", default_text="", width=35):
self.vb_name.append(name.split()[0])
self.all_comp.append(Label(self.master, text=name))
#self.all_comp[-1].pack(anchor='w')
self.all_comp[-1].grid(row=self.row, sticky=E) #
self.get_comp.append(StringVar(self.master, default_text))
self.all_comp.append(Entry(self.master, width=width, textvariable=self.get_comp[-1]))
#self.all_comp[-1].pack()
self.all_comp[-1].grid(row=self.row, column=1, sticky=W) #
self.row += 1 #
def label_1to3_int_entry(self, name="", default_int=[-1,-1,-1], width=10):
for i in [1,2,3]:
self.vb_name.append(name.split()[0]+str(i))
self.all_comp.append(Label(self.master, text=name))
#self.all_comp[-1].pack(anchor='w')
self.all_comp[-1].grid(row=self.row, sticky=E) #
for i, int_ in enumerate(default_int):
self.get_comp.append(IntVar(self.master, int_))
self.all_comp.append(Entry(self.master, width=width, textvariable=self.get_comp[-1]))
#self.all_comp[-1].pack()
self.all_comp[-1].grid(row=self.row, column=i+1, sticky=W) #
self.row += 1
def label_1to1_bool_checkbutton(self, name="", default_bool=True ,default_text="Yes"):
self.vb_name.append(name.split()[0])
self.all_comp.append(Label(self.master, text=name))
#self.all_comp[-1].pack(anchor='w')
self.all_comp[-1].grid(row=self.row, sticky=E) #
self.get_comp.append(BooleanVar(self.master, default_bool))
self.all_comp.append(Checkbutton(self.master, text=default_text, variable =self.get_comp[-1], offvalue =False, onvalue =True));
#self.all_comp[-1].pack()
self.all_comp[-1].grid(row=self.row, column=1, sticky=W) #
self.row += 1 #
def textvariable_label(self, textvariable):
self.all_comp.append(Label(self.master, textvariable=textvariable))
#self.all_comp[-1].pack()
self.all_comp[-1].grid(row=self.row, column=1) #
self.row += 1 #
def text_label(self, text="OK"):
self.all_comp.append(Label(self.master, text=text))
#self.all_comp[-1].pack()
self.all_comp[-1].grid(row=self.row, column=1) #
self.row += 1 #
def text_text(self, text="OK"):
text_ = Text(self.master, width=80 , height=10)
text_.insert(INSERT, text)
text_.insert(END, "")
self.all_comp.append(text_)
#self.all_comp[-1].pack()
self.all_comp[-1].grid(row=self.row, column=1) #
self.row += 1 #
def img_label(self, path="cat1.jpeg", title='image'):
window = Toplevel()
#window.geometry('400x400')
window.title(title)
img = ImageTk.PhotoImage(Image.open(path))
label = Label(window, image = img)
label.pack()
window.mainloop()
def button(self, command, text="OK"):
self.all_comp.append(Button(self.master, text=text, command = command))
#self.all_comp[-1].pack()
self.all_comp[-1].grid(row=self.row, column=1) #
self.row += 1 #
# ---Show------------------------------------------------------
def show_all_variable(self):
print('show all variable:')
i=0
for c in self.get_comp:
print('{} = {}'.format(self.vb_name[i],c.get()))
i+=1
def generate_variable_dict(self):
i=0
d={}
for c in self.get_comp:
d.update({self.vb_name[i]:c.get()})
i+=1
return d
root = Tk()
my_gui = GUI(root)
root.mainloop()