-
Notifications
You must be signed in to change notification settings - Fork 0
/
RupiahRecognition.py
495 lines (432 loc) · 22.7 KB
/
RupiahRecognition.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
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
import cv2
import numpy as np
import sys
from pydub import AudioSegment
from pydub.playback import play
from tkinter import *
import tkinter.messagebox
from forex_python.converter import CurrencyRates
# --------------------------------------------------------------------------------------------------------
MIN_POINT = 35
tk = Tk()
tk.title('Rupiah Detection')
tk.resizable(width=False, height=False)
tk.configure(background="gray")
class uang:
def __init__(c):
def StartButton():
def feature():
detector = cv2.xfeatures2d.SIFT_create()
matcher = cv2.BFMatcher(cv2.NORM_L1)
return detector, matcher
def play_Sound(cash):
if cash == 'Rp1000':
sound = AudioSegment.from_wav("SRC/Sound/1000.wav")
play(sound)
elif cash == 'Rp2000':
sound = AudioSegment.from_wav("SRC/Sound/2000.wav")
play(sound)
elif cash == 'Rp5000':
sound = AudioSegment.from_wav("SRC/Sound/5000.wav")
play(sound)
elif cash == 'Rp10000':
sound = AudioSegment.from_wav("SRC/Sound/10000.wav")
play(sound)
elif cash == 'Rp20000':
sound = AudioSegment.from_wav("SRC/Sound/20000.wav")
play(sound)
elif cash == 'Rp50000':
sound = AudioSegment.from_wav("SRC/Sound/50000.wav")
play(sound)
elif cash == 'Rp100000':
sound = AudioSegment.from_wav("SRC/Sound/100000.wav")
play(sound)
return sound
def filter_matches(kp1, kp2, matches, ratio=0.75):
mkp1, mkp2 = [], []
for m,n in matches:
if m.distance < n.distance * ratio:
good_point = m #jika m=m[1] maka bentuk kotak hijaunya tidak karuan
mkp1.append(kp1[good_point.queryIdx])
mkp2.append(kp2[good_point.trainIdx])
p1 = np.float32([kp.pt for kp in mkp1])
p2 = np.float32([kp.pt for kp in mkp2])
kp_pairs = zip(mkp1, mkp2)
return p1, p2, kp_pairs
def explore_match(win, img1, img2, kp_pairs, status=None, H=None):
vis = np.zeros((630, 940), np.uint8)
vis[h1:480, :w1] = img3
vis[:h1, :w1] = img1
vis[:h2, w1:w1 + w2] = img2
vis[480:630, :940] = img4
vis[480:630, :940] = img5
vis = cv2.cvtColor(vis, cv2.COLOR_GRAY2BGR)
if H is not None:
corner = np.float32([[0, 0], [w1, 0], [w1, h1], [0, h1]])
corner = np.int32(cv2.perspectiveTransform(corner.reshape(1, -1, 2), H).reshape(-1, 2) + (w1, 0))
cv2.polylines(vis, [corner], True, (0, 255, 0))
font = cv2.FONT_HERSHEY_SIMPLEX
cv2.putText(vis, showText, (corner[0][0], corner[0][1]), font, 1, (0, 0, 255), 2)
cv2.putText(vis, showDollar + 'USD', (corner[1][0], corner[0][1]), font, 1, (0, 255, 255), 2)
#if status is None:
#status = np.ones(len(kp_pairs), np.bool_)
return vis
def text():
cv2.putText(img2, 'Press b For Back', (10,470), cv2.FONT_HERSHEY_SIMPLEX, 1, (255,255,255), 2)
cv2.putText(img2, 'Press p for pause/unpause', (320,20), cv2.FONT_HERSHEY_SIMPLEX, 0.7, (255,255,255), 2)
cv2.putText(img4, 'Information about the Indonesian currency will appear here', (25,75), cv2.FONT_HERSHEY_SIMPLEX, 0.9, (255,255,255), 2)
cv2.putText(img3, 'USD 1 = IDR '+US1,(5,100), cv2.FONT_HERSHEY_SIMPLEX, 0.7, (0,0,0),2)
cv2.putText(img3, 'USD 5 = IDR '+US5,(5,140), cv2.FONT_HERSHEY_SIMPLEX, 0.7, (0,0,0),2)
cv2.putText(img3, 'USD 20 = IDR '+US20,(5,180), cv2.FONT_HERSHEY_SIMPLEX, 0.7, (0,0,0),2)
cv2.putText(img3, 'USD 50 = IDR '+US50,(5,220), cv2.FONT_HERSHEY_SIMPLEX, 0.7, (0,0,0),2)
cv2.putText(img3, 'USD 100 = IDR '+US100,(5,260), cv2.FONT_HERSHEY_SIMPLEX, 0.7, (0,0,0),2)
def match_and_draw(win, checksound, found, count):
text()
if (len(kp2) > 0):
raw_matches = matcher.knnMatch(desc1, desc2, k=2)
p1, p2, kp_pairs = filter_matches(kp1, kp2, raw_matches)
if len(p1) >= MIN_POINT:
#match ketemu
if not found:
checksound = True
found = True
count = count + 1
H, status = cv2.findHomography(p1, p2, cv2.RANSAC, 5.0)
#print(status)
vis = explore_match(win, img1, img2, kp_pairs, status,H)
else:
#belum ketemu match
found = False
checksound = False
H, status = None, None
count = 0
vis = np.zeros((630, 940), np.uint8)
vis[:h1, :w1] = img1
vis[:h2, w1:w1 + w2] = img2
vis[480:630, :940] = img4
vis[h1:480, :w1] = img3
cv2.imshow('Rupiah Detection', vis)
if (count > 3):
checksound = False
play_Sound(showText)
cv2.waitKey(-1)
count = 0
return found, checksound, count
# --------------------------------------------------------------------------------------------------------
cv2.useOptimized()
cap = cv2.VideoCapture(0)
detector, matcher = feature()
k = CurrencyRates()
checksound = True
found = False
searchIndex = 1
count = 0
#Preload Data sebelum masuk ke kamera
img_source1 = cv2.imread('SRC/1rbF.bmp', 0)
img_info1 = cv2.imread('SRC/CashInfo/1rbFinfo.bmp', 0)
Exc1 = "{:.2f}".format(k.convert('IDR','USD',1000))
temp_kp1, temp_desc1 = detector.detectAndCompute(img_source1, None)
img_source2 = cv2.imread('SRC/1rbF2.bmp', 0)
img_info2 = cv2.imread('SRC/CashInfo/1rbF2info.bmp', 0)
temp_kp2, temp_desc2 = detector.detectAndCompute(img_source2, None)
img_source3 = cv2.imread('SRC/1rbB2.bmp', 0)
img_info3 = cv2.imread('SRC/CashInfo/1rbB2info.bmp', 0)
temp_kp3, temp_desc3 = detector.detectAndCompute(img_source3, None)
img_source4 = cv2.imread('SRC/2rbF.bmp', 0)
img_info4 = cv2.imread('SRC/CashInfo/2rbFinfo.bmp', 0)
Exc2 = "{:.2f}".format(k.convert('IDR','USD',2000))
temp_kp4, temp_desc4 = detector.detectAndCompute(img_source4, None)
img_source5 = cv2.imread('SRC/2rbF2.bmp', 0)
img_info5 = cv2.imread('SRC/CashInfo/2rbF2info.bmp', 0)
temp_kp5, temp_desc5 = detector.detectAndCompute(img_source5, None)
img_source6 = cv2.imread('SRC/2rbB2.bmp', 0)
img_info6 = cv2.imread('SRC/CashInfo/2rbB2info.bmp', 0)
temp_kp6, temp_desc6 = detector.detectAndCompute(img_source6, None)
img_source7 = cv2.imread('SRC/5rbF.bmp', 0)
Exc5 = "{:.2f}".format(k.convert('IDR','USD',5000))
img_info7 = cv2.imread('SRC/CashInfo/5rbFinfo.bmp', 0)
temp_kp7, temp_desc7 = detector.detectAndCompute(img_source7, None)
img_source8 = cv2.imread('SRC/5rbF2.bmp', 0)
img_info8 = cv2.imread('SRC/CashInfo/5rbF2info.bmp', 0)
temp_kp8, temp_desc8 = detector.detectAndCompute(img_source8, None)
img_source9 = cv2.imread('SRC/5rbB2.bmp', 0)
img_info9 = cv2.imread('SRC/CashInfo/5rbB2info.bmp', 0)
temp_kp9, temp_desc9 = detector.detectAndCompute(img_source9, None)
img_source10 = cv2.imread('SRC/10rbF.bmp', 0)
Exc10 = "{:.2f}".format(k.convert('IDR','USD',10000))
img_info10 = cv2.imread('SRC/CashInfo/10rbFinfo.bmp', 0)
temp_kp10, temp_desc10 = detector.detectAndCompute(img_source10, None)
img_source11 = cv2.imread('SRC/10rbB.bmp', 0)
img_info11 = cv2.imread('SRC/CashInfo/10rbBinfo.bmp', 0)
temp_kp11, temp_desc11 = detector.detectAndCompute(img_source11, None)
img_source12 = cv2.imread('SRC/10rbF2.bmp', 0)
img_info12 = cv2.imread('SRC/CashInfo/10rbF2info.bmp', 0)
temp_kp12, temp_desc12 = detector.detectAndCompute(img_source12, None)
img_source13 = cv2.imread('SRC/20rbF.bmp', 0)
Exc20 = "{:.2f}".format(k.convert('IDR','USD',20000))
img_info13 = cv2.imread('SRC/CashInfo/20rbFinfo.bmp', 0)
temp_kp13, temp_desc13 = detector.detectAndCompute(img_source13, None)
img_source14 = cv2.imread('SRC/20rbB.bmp', 0)
img_info14 = cv2.imread('SRC/CashInfo/20rbBinfo.bmp', 0)
temp_kp14, temp_desc14 = detector.detectAndCompute(img_source14, None)
img_source15 = cv2.imread('SRC/20rbF2.bmp', 0)
img_info15 = cv2.imread('SRC/CashInfo/20rbF2info.bmp', 0)
temp_kp15, temp_desc15 = detector.detectAndCompute(img_source15, None)
img_source16 = cv2.imread('SRC/20rbB2.bmp', 0)
img_info16 = cv2.imread('SRC/CashInfo/20rbB2info.bmp', 0)
temp_kp16, temp_desc16 = detector.detectAndCompute(img_source16, None)
img_source17 = cv2.imread('SRC/50rbF.bmp', 0)
Exc50 = "{:.2f}".format(k.convert('IDR','USD',50000))
img_info17 = cv2.imread('SRC/CashInfo/50rbFinfo.bmp', 0)
temp_kp17, temp_desc17 = detector.detectAndCompute(img_source17, None)
img_source18 = cv2.imread('SRC/50rbF2.bmp', 0)
img_info18 = cv2.imread('SRC/CashInfo/50rbF2info.bmp', 0)
temp_kp18, temp_desc18 = detector.detectAndCompute(img_source18, None)
img_source19 = cv2.imread('SRC/50rbB2.bmp', 0)
img_info19 = cv2.imread('SRC/CashInfo/50rbB2info.bmp', 0)
temp_kp19, temp_desc19 = detector.detectAndCompute(img_source19, None)
img_source20 = cv2.imread('SRC/100RbF.bmp', 0)
Exc100 = "{:.2f}".format(k.convert('IDR','USD',100000))
img_info20 = cv2.imread('SRC/CashInfo/100rbinfo.bmp', 0)
temp_kp20, temp_desc20 = detector.detectAndCompute(img_source20, None)
img_source21 = cv2.imread('SRC/100RbB.bmp', 0)
img_info21 = cv2.imread('SRC/CashInfo/100rbBinfo.bmp', 0)
temp_kp21, temp_desc21 = detector.detectAndCompute(img_source21, None)
img_source22 = cv2.imread('SRC/100RbF2.bmp', 0)
img_info22 = cv2.imread('SRC/CashInfo/100rbinfo.bmp', 0)
temp_kp22, temp_desc22 = detector.detectAndCompute(img_source22, None)
img_source23 = cv2.imread('SRC/100rbB2.bmp', 0)
img_info23 = cv2.imread('SRC/CashInfo/100rbB2info.bmp', 0)
temp_kp23, temp_desc23 = detector.detectAndCompute(img_source23, None)
US1 = str(int(k.convert('USD','IDR',1)))
US5 = str(int(k.convert('USD','IDR',5)))
US20 = str(int(k.convert('USD','IDR',20)))
US50 = str(int(k.convert('USD','IDR',50)))
US100 = str(int(k.convert('USD','IDR',100)))
while (True):
# switch template
if not found:
if searchIndex <= 23:
if searchIndex == 1:
img1 = img_source1
kp1 = temp_kp1
desc1 = temp_desc1
showText = 'Rp1000'
showDollar = Exc1
img5 = img_info1
elif searchIndex == 2:
img1 = img_source2
kp1 = temp_kp2
desc1 = temp_desc2
showText = 'Rp1000'
showDollar = Exc2
img5 = img_info2
elif searchIndex == 3:
img1 = img_source3
kp1 = temp_kp3
desc1 = temp_desc3
showText = 'Rp1000'
showDollar = Exc2
img5 = img_info3
elif searchIndex == 4:
img1 = img_source4
kp1 = temp_kp4
desc1 = temp_desc4
showText = 'Rp2000'
showDollar = Exc2
img5 = img_info4
elif searchIndex == 5:
img1 = img_source5
kp1 = temp_kp5
desc1 = temp_desc5
showText = 'Rp2000'
showDollar = Exc2
img5 = img_info5
elif searchIndex == 6:
img1 = img_source6
kp1 = temp_kp6
desc1 = temp_desc6
showText = 'Rp2000'
showDollar = Exc2
img5 = img_info6
elif searchIndex == 7:
img1 = img_source7
kp1 = temp_kp7
desc1 = temp_desc7
showText = 'Rp5000'
showDollar = Exc5
img5 = img_info7
elif searchIndex == 8:
img1 = img_source8
kp1 = temp_kp8
desc1 = temp_desc8
showText = 'Rp5000'
showDollar = Exc5
img5 = img_info8
elif searchIndex == 9:
img1 = img_source9
kp1 = temp_kp9
desc1 = temp_desc9
showText = 'Rp5000'
showDollar = Exc5
img5 = img_info9
elif searchIndex == 10:
img1 = img_source10
kp1 = temp_kp10
desc1 = temp_desc10
showText = 'Rp10000'
showDollar = Exc10
img5 = img_info10
elif searchIndex == 11:
img1 = img_source11
kp1 = temp_kp11
desc1 = temp_desc11
showText = 'Rp10000'
showDollar = Exc10
img5 = img_info11
elif searchIndex == 12:
img1 = img_source12
kp1 = temp_kp12
desc1 = temp_desc12
showText = 'Rp10000'
showDollar = Exc10
img5 = img_info12
elif searchIndex == 13:
img1 = img_source13
kp1 = temp_kp13
desc1 = temp_desc13
showText = 'Rp20000'
showDollar = Exc50
img5 = img_info13
elif searchIndex == 14:
img1 = img_source14
kp1 = temp_kp14
desc1 = temp_desc14
showText = 'Rp20000'
showDollar = Exc50
img5 = img_info14
elif searchIndex == 15:
img1 = img_source15
kp1 = temp_kp15
desc1 = temp_desc15
showText = 'Rp20000'
showDollar = Exc50
img5 = img_info15
elif searchIndex == 16:
img1 = img_source16
kp1 = temp_kp16
desc1 = temp_desc16
showText = 'Rp20000'
showDollar = Exc50
img5 = img_info16
elif searchIndex == 17:
img1 = img_source17
kp1 = temp_kp17
desc1 = temp_desc17
showText = 'Rp50000'
showDollar = Exc50
img5 = img_info17
elif searchIndex == 18:
img1 = img_source18
kp1 = temp_kp18
desc1 = temp_desc18
showText = 'Rp50000'
showDollar = Exc50
img5 = img_info18
elif searchIndex == 19:
img1 = img_source19
kp1 = temp_kp19
desc1 = temp_desc19
showText = 'Rp50000'
showDollar = Exc50
img5 = img_info19
elif searchIndex == 20:
img1 = img_source20
kp1 = temp_kp20
desc1 = temp_desc20
showText = 'Rp100000'
showDollar = Exc100
img5 = img_info20
elif searchIndex == 21:
img1 = img_source21
kp1 = temp_kp21
desc1 = temp_desc21
showText = 'Rp100000'
showDollar = Exc100
img5 = img_info21
elif searchIndex == 22:
img1 = img_source22
kp1 = temp_kp22
desc1 = temp_desc22
showText = 'Rp100000'
showDollar = Exc100
img5 = img_info22
elif searchIndex == 23:
img1 = img_source23
kp1 = temp_kp23
desc1 = temp_desc23
showText = 'Rp100000'
showDollar = Exc100
img5 = img_info23
searchIndex = searchIndex + 1
else:
searchIndex = 1
img1 = img_source1
img5 = img_info1
# Capture frame-by-frame
ret, frame = cap.read()
#tk.withdraw()
img2 = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
img3 = cv2.imread('SRC/CashInfo/img3.jpg', 0)
img4 = np.zeros((150,940),np.uint8)
h1, w1 = img1.shape #150x300
h2, w2 = img2.shape #480x640
h3, w3 = img3.shape
h4, w4 = img4.shape
h5, w5 = img5.shape
# calculate features
kp2, desc2 = detector.detectAndCompute(img2, None)
found, checksound, count = match_and_draw('find_obj', checksound, found, count)
#print('FPS = ', 1 / time)
if cv2.waitKey(1) == ord('p'):
cv2.waitKey(-1)
elif cv2.waitKey(1) == ord('b'):
cap.release()
cv2.destroyAllWindows()
#tk.deiconify()
break
def aboutButton():
JAbout = Tk()
JAbout.resizable(width=False,height=False)
JAbout.title('About')
JAbout.configure(background='yellow')
JAbout.geometry("400x250")
TAbout = Label(JAbout,text="This application will help you to get to know Indonesian \n"
"currency and information about pictures on that currency \n\n"
,bg='yellow',font='Verdana 9 bold')
TAbout1 = Label(JAbout,text="\t\t How To Use This App \n"
"1.Click button Start on main menu to detect the money \n"
"2.Show money to camera \n"
"3.If it has been detected, it will display information about the money\n"
" and pause the camera\n"
"4.Press 'p' to pause/unpause the camera screen\n"
"5.Press 'b' to return to main menu",anchor='sw', justify=LEFT)
TAbout2 = Label(JAbout,text="\nThis application was made by\n"
"Farid Rizqi Septiansyah\n"
"52417206"
,bg='yellow',font='Verdana 9 bold')
B3 = Button(JAbout, text='Close',font='Verdana 10 bold',bg='blue', fg='white', command=JAbout.destroy)
TAbout.pack()
TAbout1.pack()
TAbout2 .pack()
B3.pack(side=BOTTOM)
JAbout.mainloop()
def exitButton():
tk.destroy()
L1 = Label(tk, text='RUPIAH DETECTION', font=("times new roman",20),fg="white",bg="maroon",height=2).grid(row=0,rowspan=2,columnspan=2,padx=5,pady=5)
B1 = Button(tk, text="START",font=("times new roman",20),bg="#0D47A1",fg='white',command = StartButton,width=10).grid(row=3,columnspan=2,pady=5)
B2 = Button(tk, text="ABOUT",font=("times new roman",20),bg="#0D47A1",fg='white',command = aboutButton,width=10).grid(row=6,columnspan=2,pady=5)
B3 = Button(tk, text=" EXIT ",font=("times new roman",20),bg="#0D47A1",fg='white',command = exitButton,width=10).grid(row=9,columnspan=2,pady=5)
tk.mainloop()
jalan = uang()
jalan