-
Notifications
You must be signed in to change notification settings - Fork 0
/
LUTptr1.pyx
292 lines (282 loc) · 11.3 KB
/
LUTptr1.pyx
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
cimport cython
import numpy as np
cimport numpy as np
ctypedef np.float_t FTYPE_t
ctypedef np.uint8_t CTYPE_t
ctypedef np.int64_t LTYPE_t
ctypedef np.uint32_t DTYPE_t
@cython.boundscheck(False)
@cython.cdivision(True)
@cython.wraparound(False)
cdef unsigned char[:,:,::1] tablegen(long hmin,long hmax,long smin, long smax, long v, long vmax):
cdef:
unsigned char[:,:,::1] table = np.zeros((256,256,256),dtype = np.uint8)
long x0,y0,z0
double b,g,r
int K
double chroma
long hue
long saturation
unsigned char* table_ptr = &table[0,0,0]
for x0 in range(256):
for y0 in range(256):
for z0 in range(256):
b,g,r = x0,y0,z0
K = 0
if g < b:
g,b = b,g
K = -6
if r < g:
r,g = g,r
K = -K - 2
chroma = r - min(g,b)
if r != 0:
saturation = int(255 * chroma/(r * 1.0))
else:
saturation = 0
if chroma != 0:
hue = int(30 * abs(K +((g-b)/(chroma))))
if (hue>= hmin) & (hue <= hmax) & (r >=v) & (r <= vmax) & (saturation >= smin) & (saturation <= smax):
table_ptr[(256*256*x0) + (256*y0)+z0] = 1
return table
cdef unsigned char[:,:,::1] tablelut = tablegen(89,100,50,255,200,255)
cdef unsigned char* tablelut_ptr = &tablelut[0,0,0]
cdef long[::1] x_out = np.zeros((480*640), dtype = np.int32)
#cdef long* x_outptr = &x_out[0]
cdef long[::1] y_out = np.zeros((640), dtype = np.int32)
#cdef long* y_outptr = &y_out[0]
@cython.boundscheck(False)
@cython.cdivision(True)
@cython.wraparound(False)
def squarelut2(long x,long y,unsigned char[:,:,::1] image):
cdef:
unsigned char* img_ptr = &image[0,0,0]
unsigned char inc
long[::1] x_out = np.zeros((x*y), dtype = np.int32)
long* x_outptr = &x_out[0]
long[::1] y_out = np.zeros((y), dtype = np.int32)
long* y_outptr = &y_out[0]
long[::1] output = np.array([y,0,0,0], dtype = np.int32)
long* outputptr = &output[0]
long x0,y0,i0
long i = 0
y_outptr[1] = y
for x0 in range(x):
i0 = i
for y0 in range(y):
inc = tablelut_ptr[256*256*img_ptr[3*(x0*y + y0)] + 256*img_ptr[3*(x0*y + y0) +1] + img_ptr[3*(x0*y + y0) + 2]]
i += inc
y_outptr[inc*(i - i0)] = y0
x_outptr[inc*i] = x0
y_outptr[0] = 0
outputptr[0] += (y_outptr[1] - outputptr[0])*(outputptr[0] > y_outptr[1])
outputptr[1] += (y_outptr[i-i0] - outputptr[1])*(outputptr[1] < y_outptr[i - i0])
outputptr[2] = x_outptr[1]
outputptr[3] = x_outptr[i]
return output
@cython.boundscheck(False)
@cython.cdivision(True)
@cython.wraparound(False)
def squarelut3(unsigned long x,unsigned long y,unsigned char[:,:,::1] image):
cdef:
unsigned char* img_ptr = &image[0,0,0]
unsigned char inc
unsigned long[::1] x_out = np.zeros((x*y), dtype = np.uint32)
unsigned long* x_outptr = &x_out[0]
unsigned long[::1] y_out = np.zeros((y), dtype = np.uint32)
unsigned long* y_outptr = &y_out[0]
unsigned long[::1] output = np.array([y,0,0,0], dtype = np.uint32)
unsigned long* outputptr = &output[0]
unsigned long x0,y0,i0
unsigned long i = 0
y_outptr[1] = y
for x0 in range(x):
i0 = i
for y0 in range(y):
inc = tablelut_ptr[256*256*img_ptr[3*(x0*y + y0)] + 256*img_ptr[3*(x0*y + y0) +1] + img_ptr[3*(x0*y + y0) + 2]]
i += inc
y_outptr[inc*(i - i0)] = y0
x_outptr[inc*i] = x0
y_outptr[0] = 0
outputptr[0] += (y_outptr[1] - outputptr[0])*(outputptr[0] > y_outptr[1])
outputptr[1] += (y_outptr[i-i0] - outputptr[1])*(outputptr[1] < y_outptr[i - i0])
outputptr[2] = x_outptr[1]
outputptr[3] = x_outptr[i]
return output
@cython.boundscheck(False)
@cython.cdivision(True)
@cython.wraparound(False)
def squarelut4(long xmin,long xmax , long ymin , long ymax,long x, long y,float v,unsigned char[:,:,::1] image):
cdef:
long xminscan = int((((v+1)*xmin > (v*xmax))*((v + 1)*xmin - (v*xmax))))
long yminscan = int(((v+1)*ymin > (v*ymax))*((v + 1)*ymin - (v*ymax)))
long xmaxscan = int(((v+1)*xmax < x + (v*xmin))*(((v+1)*xmax) - (v*xmin) - x) + x)
long ymaxscan = int(((v+1)*ymax < x + (v*ymin))*(((v+1)*ymax) - (v*ymin) - y) + y)
long deltax = xmaxscan - xminscan
long deltay = ymaxscan - yminscan
unsigned char* img_ptr = &image[0,0,0]
unsigned char inc
long[::1] x_out = np.zeros((deltax*deltay), dtype = np.int32)
long* x_outptr = &x_out[0]
long[::1] y_out = np.zeros((deltay), dtype = np.int32)
long* y_outptr = &y_out[0]
long[::1] output = np.array([y,0,0,0], dtype = np.int32)
long* outputptr = &output[0]
long x0,y0,i0
long i = 0
y_outptr[1] = y
for x0 in range(deltax):
i0 = i
for y0 in range(deltay):
inc = tablelut_ptr[256*256*img_ptr[3*((xminscan + x0)*y + y0 + yminscan)] + 256*img_ptr[3*((xminscan + x0)*y + y0 + yminscan) +1] + img_ptr[3*((xminscan + x0)*y + y0 + yminscan) + 2]]
i += inc
y_outptr[inc*(i - i0)] = y0 + yminscan
x_outptr[inc*i] = x0 + xminscan
y_outptr[0] = 0
outputptr[0] += (y_outptr[1] - outputptr[0])*(outputptr[0] > y_outptr[1])
outputptr[1] += (y_outptr[i-i0] - outputptr[1])*(outputptr[1] < y_outptr[i - i0])
outputptr[2] = x_outptr[1]
outputptr[3] = x_outptr[i]
return output
@cython.boundscheck(False)
@cython.cdivision(True)
@cython.wraparound(False)
def squarelut5(long[::1] input,long x, long y,unsigned char v,unsigned char[:,:,::1] image):
cdef:
long* inputptr = &input[0]
long xminscan = (inputptr[2]< inputptr[3])*((v+1)*inputptr[2] > (v*inputptr[3]))*((v + 1)*inputptr[2] - (v*inputptr[3]))
long yminscan = (inputptr[0]< inputptr[1])*((v+1)*inputptr[0] > (v*inputptr[1]))*((v + 1)*inputptr[0] - (v*inputptr[1]))
long xmaxscan = (inputptr[2]< inputptr[3])*((v+1)*inputptr[3] < x + (v*inputptr[2]))*(((v+1)*inputptr[3]) - (v*inputptr[2]) - x) + x
long ymaxscan = (inputptr[0]< inputptr[1])*((v+1)*inputptr[1] < x + (v*inputptr[0]))*(((v+1)*inputptr[1]) - (v*inputptr[0]) - y) + y
long deltax = xmaxscan - xminscan
long deltay = ymaxscan - yminscan
unsigned char* img_ptr = &image[0,0,0]
unsigned char inc
#long[::1] x_out = np.zeros((deltax*deltay), dtype = np.int32)
long* x_outptr = &x_out[0]
#long[::1] y_out = np.zeros((deltay), dtype = np.int32)
long* y_outptr = &y_out[0]
long[::1] output = np.array([y,0,0,0], dtype = np.int32)
long* outputptr = &output[0]
long x0,y0,i0
long i = 0
long pos[3]
long* posptr = &pos[0]
posptr[0] = (xminscan*y) +yminscan
y_outptr[1] = y
for x0 in range(deltax):
posptr[1] = posptr[0] + (x0 *y)
i0 = i
for y0 in range(deltay):
posptr[2] = 3 * (posptr[1] + y0)
inc = tablelut_ptr[256*256*img_ptr[posptr[2]] + 256*img_ptr[posptr[2] +1] + img_ptr[posptr[2] + 2]]
#inc = tablelut_ptr[256*256*img_ptr[3*((xminscan + x0)*y + y0 + yminscan)] + 256*img_ptr[3*((xminscan + x0)*y + y0 + yminscan) +1] + img_ptr[3*((xminscan + x0)*y + y0 + yminscan) + 2]]
i += inc
y_outptr[inc*(i - i0)] = y0 + yminscan
x_outptr[inc*i] = x0 + xminscan
y_outptr[0] = 0
outputptr[0] += (y_outptr[1] - outputptr[0])*(outputptr[0] > y_outptr[1])
outputptr[1] += (y_outptr[i-i0] - outputptr[1])*(outputptr[1] < y_outptr[i - i0])
outputptr[2] = x_outptr[1]
outputptr[3] = x_outptr[i]
return output
@cython.boundscheck(False)
@cython.cdivision(True)
@cython.wraparound(False)
def bgrhsv(unsigned char[:,:,::1] image,long x, long y):
cdef:
unsigned char[:,:,::1] output = np.zeros((x,y,3),dtype = np.uint8)
long x0,y0
double b,g,r
double chroma
for x0 in range(x):
for y0 in range(y):
b = image[x0,y0,0]
g = image[x0,y0,1]
r = image[x0,y0,2]
K = 0
if g < b:
g,b = b,g
K = -6
if r < g:
r,g = g,r
K = -K - 2
chroma = r - min(g,b)
if chroma != 0:
output[x0,y0,0] = int(30 * abs(K +((g-b)/(chroma))))
if r != 0:
output[x0,y0,1] = int(255* chroma/(r * 1.0))
output[x0,y0,2] = int(r)
return output
@cython.boundscheck(False)
@cython.cdivision(True)
@cython.wraparound(False)
def bgrhsvarray(unsigned char[:,:,::1] image,long x, long y):
cdef:
unsigned char* img_ptr = &image[0,0,0]
unsigned long[:,::1] yaxis = np.zeros((3,256),dtype = np.uint32)
unsigned long* yaxisptr = &yaxis[0,0]
long x0,y0
double b,g,r
long hue,saturation
double chroma
for x0 in range(x):
for y0 in range(y):
b = img_ptr[3*(x0*y + y0)]
g = img_ptr[3*(x0*y + y0) + 1]
r = img_ptr[3*(x0*y + y0) + 2]
K = 0
if g < b:
g,b = b,g
K = -6
if r < g:
r,g = g,r
K = -K - 2
chroma = r - min(g,b)
if chroma != 0:
hue = int(30 * abs(K +((g-b)/(chroma))))
if r != 0:
saturation = int(255* chroma/(r * 1.0))
else:
saturation = 0
yaxisptr[hue] += 1
yaxisptr[256 + saturation] += 1
yaxisptr[256*2 + int(r)] += 1
return yaxis
@cython.boundscheck(False)
@cython.cdivision(True)
@cython.wraparound(False)
def bgrhsvarray2(unsigned char[:,:,::1] image,long xmin,long xmax,long ymin, long ymax):
cdef:
unsigned char* img_ptr = &image[0,0,0]
unsigned long[:,::1] yaxis = np.zeros((3,256),dtype = np.uint32)
unsigned long* yaxisptr = &yaxis[0,0]
long x0,y0
double b,g,r
long hue,saturation
double chroma
long deltax = xmax - xmin
long deltay = ymax - ymin
for x0 in range(deltax):
for y0 in range(deltay):
b = img_ptr[3*((xmin +x0)* 640 + y0 + ymin)]
g = img_ptr[3*((xmin +x0)* 640 + y0 + ymin) + 1]
r = img_ptr[3*((xmin +x0)* 640 + y0 + ymin) + 2]
K = 0
if g < b:
g,b = b,g
K = -6
if r < g:
r,g = g,r
K = -K - 2
chroma = r - min(g,b)
if chroma != 0:
hue = int(30 * abs(K +((g-b)/(chroma))))
if r != 0:
saturation = int(255* chroma/(r * 1.0))
else:
saturation = 0
yaxisptr[hue] += 1
yaxisptr[256 + saturation] += 1
yaxisptr[256*2 + int(r)] += 1
return yaxis