def exec_prog():
'''###################
ops
###################'''
test_1()
print("[%s:%d] exec_prog() => done" % \
(os.path.basename(libs.thisfile()), libs.linenum()
), file=sys.stderr)
def test_2():
print("[%s:%d] test_2()" % \
(os.path.basename(libs.thisfile()), libs.linenum()
), file=sys.stderr)
'''###################
load : image
###################'''
img = cv2.imread(
'C:/WORKS_2/WS/WS_Others.Art/JVEMV6/46_art/2_image-prog/2_projects/1_sort-out/images/IMG_3171.JPG'
)
# img = cv2.imread('../images/IMG_3171.JPG')
img2 = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
# plt.imshow(img2)
#
dpath = "C:/WORKS_2/WS/WS_Others.Art/JVEMV6/46_art/2_image-prog/2_projects/1_sort-out/2_/images"
#
# fname = "image.%s.png" % (libs.get_TimeLabel_Now())
#
# fpath = "%s/%s" % (dpath, fname)
#
# plt.savefig(fpath)
#ref display image https://github.com/PrinzEugen7/ImageProcessing/blob/master/Image/Python/Matplotlib/draw_opencv_img.py
# plt.show()
'''###################
clip
###################'''
# data
height, width, channels = img2.shape
off_set = 280
tlabel = libs.get_TimeLabel_Now()
plt_ = plt
# save image
'''###################
corner : LB
###################'''
title = "clp_LB"
fname = "image.%s.%s.png" % (tlabel, title)
clp_LB = img2[(height - off_set):height, 0:off_set]
# h_Clp_LB, w_Clp_LB, ch_Clp_Lb = clp_LB.shape
test_2__SaveFig(title, dpath, fname, clp_LB, plt_)
'''###################
corner : RB
###################'''
title = "clp_RB"
fname = "image.%s.%s.png" % (tlabel, title)
clp_RB = img2[(height - off_set):height, width - off_set:width]
plt_.clf()
# plt_ = plt
test_2__SaveFig(title, dpath, fname, clp_RB, plt_)
'''###################
corner : LU
###################'''
title = "clp_LU"
fname = "image.%s.%s.png" % (tlabel, title)
clp_LU = img2[0:off_set, 0:off_set]
plt_.clf()
# plt_ = plt
test_2__SaveFig(title, dpath, fname, clp_LU, plt_)
'''###################
corner : RU
###################'''
title = "clp_RU"
fname = "image.%s.%s.png" % (tlabel, title)
clp_RU = img2[0:off_set, width - off_set:width]
plt_.clf()
# plt_ = plt
test_2__SaveFig(title, dpath, fname, clp_RU, plt_)
def test_4():
print("[%s:%d] test_4()" % \
(os.path.basename(libs.thisfile()), libs.linenum()
), file=sys.stderr)
'''###################
load : image
###################'''
dpath_Img = "C:/WORKS_2/WS/WS_Others.Art/JVEMV6/46_art/2_image-prog/2_projects/1_sort-out/images"
fname_Img = "IMG_3171.JPG"
fpath_Img = "%s/%s" % (dpath_Img, fname_Img)
img = cv2.imread(fpath_Img)
# img = cv2.imread('C:/WORKS_2/WS/WS_Others.Art/JVEMV6/46_art/2_image-prog/2_projects/1_sort-out/images/IMG_3171.JPG')
# img = cv2.imread('../images/IMG_3171.JPG')
img2 = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
dpath = "C:/WORKS_2/WS/WS_Others.Art/JVEMV6/46_art/2_image-prog/2_projects/1_sort-out/2_/images"
'''###################
get : data
###################'''
# data
height, width, channels = img2.shape
off_set = 280
tlabel = libs.get_TimeLabel_Now()
plt_ = plt
# save image
'''###################
corner : LB
###################'''
titles = ["clp_LB", "clp_RB", "clp_LU", "clp_RU"]
clips = [
img2[(height - off_set):height, 0:off_set], # clp_LB
img2[(height - off_set):height, width - off_set:width], # clp_RB
img2[0:off_set, 0:off_set], # clp_LU
img2[0:off_set, width - off_set:width], # clp_RU
]
'''###################
max, min
###################'''
clip_0 = clips[0]
max_R = -1
max_G = -1
max_B = -1
for item in clip_0[0]:
R = item[0]
G = item[1]
B = item[2]
if R > max_R: max_R = R
if G > max_G: max_G = G
if B > max_B: max_B = B
#/for item in clip_0[0]:
'''###################
log
###################'''
dpath_Log = "C:/WORKS_2/WS/WS_Others.Art/JVEMV6/46_art/2_image-prog/2_projects/1_sort-out/2_"
fname_Log = "2_.log"
fpath_Log = "%s/%s" % (dpath_Log, fname_Log)
f = open(fpath_Log, "a")
f.write("===================================")
f.write("\n")
msg = "[%s:%s:%d] file : %s" % \
(libs.get_TimeLabel_Now(), os.path.basename(libs.thisfile()), libs.linenum() \
, fpath_Img)
f.write(msg)
f.write("\n")
msg = "[%s:%s:%d] min, max -----------" % \
(libs.get_TimeLabel_Now(), os.path.basename(libs.thisfile()), libs.linenum())
f.write(msg)
f.write("\n")
msg = "max_R = %d, max_G = %d, max_B = %d" % (max_R, max_G, max_B)
f.write(msg)
f.write("\n")
f.write("\n")
# print("[%s:%d] min, max -----------" % \
# (os.path.basename(libs.thisfile()), libs.linenum()
#
# ), file=sys.stderr)
# # print("max_R = %d, max_G = %d, max_B = %d" % (max_R, max_G, max_B))
f.close()
def test_5():
print("[%s:%d] test_5()" % \
(os.path.basename(libs.thisfile()), libs.linenum()
), file=sys.stderr)
'''###################
load : image
###################'''
dpath_Img = "C:/WORKS_2/WS/WS_Others.Art/JVEMV6/46_art/2_image-prog/2_projects/1_sort-out/images"
fname_Img = "IMG_3171.JPG"
fpath_Img = "%s/%s" % (dpath_Img, fname_Img)
img = cv2.imread(fpath_Img)
# img = cv2.imread('C:/WORKS_2/WS/WS_Others.Art/JVEMV6/46_art/2_image-prog/2_projects/1_sort-out/images/IMG_3171.JPG')
# img = cv2.imread('../images/IMG_3171.JPG')
img2 = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
dpath = "C:/WORKS_2/WS/WS_Others.Art/JVEMV6/46_art/2_image-prog/2_projects/1_sort-out/2_/images"
'''###################
get : data
###################'''
# data
height, width, channels = img2.shape
off_set = 280
tlabel = libs.get_TimeLabel_Now()
plt_ = plt
# save image
'''###################
corner : LB
###################'''
titles = ["clp_LB", "clp_RB", "clp_LU", "clp_RU"]
clips = [
img2[(height - off_set):height, 0:off_set], # clp_LB
img2[(height - off_set):height, width - off_set:width], # clp_RB
img2[0:off_set, 0:off_set], # clp_LU
img2[0:off_set, width - off_set:width], # clp_RU
]
'''###################
max, min
###################'''
idxOf_Clips = 1
# idxOf_Clips = 0
clip_0 = clips[idxOf_Clips]
# clip_0 = clips[0]
max_R = -1
max_G = -1
max_B = -1
# counter
cntOf_Row = 0
cntOf_Cell = 0
# values
valsOf_R = [0] * 255
valsOf_G = [0] * 255
valsOf_B = [0] * 255
colNames = [str(x) for x in range(255)]
# colNames = [x for x in range(255)]
str_ColNames = "\t".join(colNames)
# str_ColNames = colNames.join("\t")
for row in clip_0:
for cell in row:
# get value
R = cell[0]
G = cell[1]
B = cell[2]
# addition
valsOf_R[R] += 1
valsOf_G[G] += 1
valsOf_B[B] += 1
if R > max_R: max_R = R
if G > max_G: max_G = G
if B > max_B: max_B = B
# count
cntOf_Cell += 1
# reset count of cells
cntOf_Cell = 0
# count
cntOf_Row += 1
#/for row in clip_0:
'''###################
log
###################'''
dpath_Log = "C:/WORKS_2/WS/WS_Others.Art/JVEMV6/46_art/2_image-prog/2_projects/1_sort-out/2_"
fname_Log = "2_.log"
fpath_Log = "%s/%s" % (dpath_Log, fname_Log)
f = open(fpath_Log, "a")
f.write("===================================")
f.write("\n")
msg = "[%s:%s:%d] result =>" % \
(libs.get_TimeLabel_Now(), os.path.basename(libs.thisfile()), libs.linenum() \
)
f.write(msg)
f.write("\n")
msg = "file : %s" % \
(fpath_Img)
f.write(msg)
f.write("\n")
msg = "rows, cells : %d x %d" % (cntOf_Row, cntOf_Cell)
f.write(msg)
f.write("\n")
# index
msg = "index of clips : %d (%s)" % (idxOf_Clips, titles[idxOf_Clips])
f.write(msg)
f.write("\n")
msg = "min, max : "
f.write(msg)
# f.write("\n")
msg = "max_R = %d, max_G = %d, max_B = %d" % (max_R, max_G, max_B)
f.write(msg)
f.write("\n")
# f.write("\n")
# print("[%s:%d] min, max -----------" % \
# (os.path.basename(libs.thisfile()), libs.linenum()
#
# ), file=sys.stderr)
# # print("max_R = %d, max_G = %d, max_B = %d" % (max_R, max_G, max_B))
'''###################
vals
###################'''
msg = "color\t%s" % str_ColNames
f.write(msg)
f.write("\n")
lineOf_R = ""
lineOf_G = ""
lineOf_B = ""
for i in range(255):
lineOf_R += str(valsOf_R[i]) + "\t"
lineOf_G += str(valsOf_G[i]) + "\t"
lineOf_B += str(valsOf_B[i]) + "\t"
#/for i in range(255):
msg = "Rs\t%s" % lineOf_R
f.write(msg)
f.write("\n")
msg = "Gs\t%s" % lineOf_G
f.write(msg)
f.write("\n")
msg = "Bs\t%s" % lineOf_B
f.write(msg)
f.write("\n")
f.write("\n")
'''###################
close
###################'''
f.close()
def test_6():
print("[%s:%d] test_6()" % \
(os.path.basename(libs.thisfile()), libs.linenum()
), file=sys.stderr)
'''###################
load : image
###################'''
# "C:\WORKS_2\WS\WS_Others.Art\JVEMV6\46_art\2_image-prog\2_projects\1_sort-out\images"
dpath_Img = "C:/WORKS_2/WS/WS_Others.Art/JVEMV6/46_art/2_image-prog/2_projects/1_sort-out/images"
fname_Img = "IMG_3171.JPG"
fpath_Img = "%s/%s" % (dpath_Img, fname_Img)
img = cv2.imread(fpath_Img)
# img = cv2.imread('C:/WORKS_2/WS/WS_Others.Art/JVEMV6/46_art/2_image-prog/2_projects/1_sort-out/images/IMG_3171.JPG')
# img = cv2.imread('../images/IMG_3171.JPG')
img2 = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
dpath = "C:/WORKS_2/WS/WS_Others.Art/JVEMV6/46_art/2_image-prog/2_projects/1_sort-out/2_/images"
'''###################
get : data
###################'''
# data
height, width, channels = img2.shape
off_set = 280
tlabel = libs.get_TimeLabel_Now()
plt_ = plt
# save image
'''###################
corner : LB
###################'''
titles = ["clp_LB", "clp_RB", "clp_LU", "clp_RU"]
clips = [
img2[(height - off_set):height, 0:off_set], # clp_LB
img2[(height - off_set):height, width - off_set:width], # clp_RB
img2[0:off_set, 0:off_set], # clp_LU
img2[0:off_set, width - off_set:width], # clp_RU
]
'''###################
max, min
###################'''
# idxOf_Clips = 1
idxOf_Clips = 0
clip_0 = clips[idxOf_Clips]
# clip_0 = clips[0]
max_R = -1
max_G = -1
max_B = -1
# counter
cntOf_Row = 0
cntOf_Cell = 0
# values
valsOf_R = [0] * 255
valsOf_G = [0] * 255
valsOf_B = [0] * 255
colNames = [str(x) for x in range(255)]
# colNames = [x for x in range(255)]
str_ColNames = "\t".join(colNames)
# str_ColNames = colNames.join("\t")
for row in clip_0:
for cell in row:
# get value
R = cell[0]
G = cell[1]
B = cell[2]
# addition
valsOf_R[R] += 1
valsOf_G[G] += 1
valsOf_B[B] += 1
if R > max_R: max_R = R
if G > max_G: max_G = G
if B > max_B: max_B = B
# count
cntOf_Cell += 1
# reset count of cells
cntOf_Cell = 0
# count
cntOf_Row += 1
#/for row in clip_0:
'''###################
log
###################'''
dpath_Log = "C:/WORKS_2/WS/WS_Others.Art/JVEMV6" \
+ "/46_art/2_image-prog/2_projects/1_sort-out/2_" \
+ "/data"
# validate dir
if not os.path.exists(dpath): os.makedirs(dpath)
fname_Log = "3_.%s.log" % libs.get_TimeLabel_Now()
fpath_Log = "%s/%s" % (dpath_Log, fname_Log)
f = open(fpath_Log, "a")
f.write("===================================")
f.write("\n")
msg = "[%s:%s:%d] result =>" % \
(libs.get_TimeLabel_Now(), os.path.basename(libs.thisfile()), libs.linenum() \
)
f.write(msg)
f.write("\n")
msg = "file : %s" % \
(fpath_Img)
f.write(msg)
f.write("\n")
msg = "rows, cells : %d x %d" % (cntOf_Row, cntOf_Cell)
f.write(msg)
f.write("\n")
# index
msg = "index of clips : %d (%s)" % (idxOf_Clips, titles[idxOf_Clips])
f.write(msg)
f.write("\n")
msg = "min, max : "
f.write(msg)
# f.write("\n")
msg = "max_R = %d, max_G = %d, max_B = %d" % (max_R, max_G, max_B)
f.write(msg)
f.write("\n")
# f.write("\n")
# print("[%s:%d] min, max -----------" % \
# (os.path.basename(libs.thisfile()), libs.linenum()
#
# ), file=sys.stderr)
# # print("max_R = %d, max_G = %d, max_B = %d" % (max_R, max_G, max_B))
'''###################
vals
###################'''
msg = "color\t%s" % str_ColNames
f.write(msg)
f.write("\n")
lineOf_R = ""
lineOf_G = ""
lineOf_B = ""
for i in range(255):
lineOf_R += str(valsOf_R[i]) + "\t"
lineOf_G += str(valsOf_G[i]) + "\t"
lineOf_B += str(valsOf_B[i]) + "\t"
#/for i in range(255):
msg = "Rs\t%s" % lineOf_R
f.write(msg)
f.write("\n")
msg = "Gs\t%s" % lineOf_G
f.write(msg)
f.write("\n")
msg = "Bs\t%s" % lineOf_B
f.write(msg)
f.write("\n")
'''###################
stats
###################'''
sumOf_Rs = 0
# sum
for d in valsOf_R:
sumOf_Rs += d
# mean
mean_R = sumOf_Rs * 1.0 / len(valsOf_R)
# summation
summation = 0
for d in valsOf_R:
summation += np.power(d - mean_R, 4)
#/for d in valsOf_R:
# summation divided by length
summation = summation / len(valsOf_R)
# standard dev
lo_tmp = [np.power(x, 2) for x in valsOf_R]
# sum of squares
sumOf_Squares_R = sum(lo_tmp)
# dev
deviation = sumOf_Squares_R * 1.0 / len(valsOf_R) - np.power(mean_R, 2)
# std dev
std_dev = np.sqrt(deviation)
# skew
#ref http://hs-www.hyogo-dai.ac.jp/~kawano/HStat/?plugin=cssj&page=2010%2F3rd%2FSkewness_Kurtosis
skew = summation * 1.0 / np.power(std_dev, 4)
# write to file
msg = "sumOf_Rs = %d, mean_R = %.03f summation = %.03f std_dev = %.03f skew = %.03f" % \
(sumOf_Rs, mean_R, summation, std_dev, skew)
# msg = "sumOf_Rs = %d, mean_R = %.03f" % (sumOf_Rs, mean_R)
f.write(msg)
f.write("\n")
# index of max
idxOf_Max_R = -1
maxOf_R = -1
idx = 0
for d in valsOf_R:
if d > maxOf_R: #if d > maxOf_R
# update : index of max
idxOf_Max_R = idx
# update : max of Rs
maxOf_R = d
#/if d > maxOf_R
# increment
idx += 1
#/for d in valsOf_R:
# write
msg = "idxOf_Max_R = %d" % \
(idxOf_Max_R)
# msg = "sumOf_Rs = %d, mean_R = %.03f" % (sumOf_Rs, mean_R)
f.write(msg)
f.write("\n")
#/for d in valsOf_R:
# sumOf_Rs = get_mean(valsOf_R)
#
# mean_R = sumOf_Rs * 1.0 / len(valsOf_R)
'''###################
dividing line
###################'''
f.write("\n")
'''###################
close
###################'''
f.close()
def test_1():
print("[%s:%d] test_1()" % \
(os.path.basename(libs.thisfile()), libs.linenum()
), file=sys.stderr)
'''###################
load : image
###################'''
img = cv2.imread(
'C:/WORKS_2/WS/WS_Others.Art/JVEMV6/46_art/2_image-prog/2_projects/1_sort-out/images/IMG_3171.JPG'
)
# img = cv2.imread('../images/IMG_3171.JPG')
img2 = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
# plt.imshow(img2)
#
dpath = "C:/WORKS_2/WS/WS_Others.Art/JVEMV6/46_art/2_image-prog/2_projects/1_sort-out/2_/images"
#
# fname = "image.%s.png" % (libs.get_TimeLabel_Now())
#
# fpath = "%s/%s" % (dpath, fname)
#
# plt.savefig(fpath)
#ref display image https://github.com/PrinzEugen7/ImageProcessing/blob/master/Image/Python/Matplotlib/draw_opencv_img.py
# plt.show()
'''###################
clip
###################'''
height, width, channels = img2.shape
#debug
print()
print("[%s:%d] height = %d, width = %d" % \
(os.path.basename(libs.thisfile()), libs.linenum()
, height, width
), file=sys.stderr)
off_set = 280
clp_LB = img2[(height - off_set):height, 0:off_set]
h_Clp_LB, w_Clp_LB, ch_Clp_Lb = clp_LB.shape
#debug
print()
print("[%s:%d] h_Clp_LB = %d, w_Clp_LB = %d" % \
(os.path.basename(libs.thisfile()), libs.linenum()
, h_Clp_LB, w_Clp_LB
), file=sys.stderr)
# plt.imshow(clp_LB)
# save image
title = "clp_LB"
fname = "image.%s.%s.png" % (title, libs.get_TimeLabel_Now())
fpath = "%s/%s" % (dpath, fname)
xpixels = clp_LB.shape[1]
ypixels = clp_LB.shape[0]
dpi = 72
scalefactor = 1
xinch = xpixels * scalefactor / dpi
yinch = ypixels * scalefactor / dpi
fig = plt.figure(figsize=(xinch, yinch))
plt.imshow(clp_LB)
# plt.savefig(fpath)
plt.savefig(fpath, dpi=dpi)
print("[%s:%d] exec_prog() => done" % \
(os.path.basename(libs.thisfile()), libs.linenum()
), file=sys.stderr)
'''
<usage>
test_1.py [-fXXX] #=> frequency
test_1.py -f402
'''
if __name__ == "__main__":
'''###################
validate : help option
###################'''
'''###################
get options
###################'''
'''###################
evecute
###################'''
exec_prog()
print()
print("[%s:%d] all done" % \
(os.path.basename(libs.thisfile()), libs.linenum()
), file=sys.stderr)
# print "[%s:%d] done" % (thisfile(), linenum())
def test_1():
print("[%s:%d] test_1()" % \
(os.path.basename(libs.thisfile()), libs.linenum()
), file=sys.stderr)