generic-library/opencv
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drop deth code

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marina.kolpakova 2013-01-11 18:17:25 +04:00
parent 16aacf1780
commit 56edff90ba
1 changed files with 1 additions and 68 deletions
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69
apps/sft/misk/scale_caltech.py
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@ -6,62 +6,6 @@ from optparse import OptionParser
import re
import numpy as np
def extract(f):
person = re.compile("^lbl=\'person\'\s+str=(\d+)\s+end=(\d+)\s+hide=0$")
newobj = re.compile("^lbl=\'(\w+)\'\s+str=(\d+)\s+end=(\d+)\s+hide=0$")
pos = re.compile("^pos\s=(\[[((\d+\.+\d*)|\s+|\;)]*\])$")
nonarray = re.compile("\;\s+(?!\])|\s+(?!\])")
lastSemicolon = re.compile("\;\s+(?=\])")
goNext = 0
start = 0
end = 0
modelW = 32
modelH = 64
for l in f:
qq = newobj.match(l)
if qq is not None:
if qq.group(1) == "person":
goNext = 1
else:
goNext = 0
print qq.group(0), qq.group(1)
m = person.match(l)
if m is not None:
start = m.group(1)
end = m.group(2)
print m.group(0), start, end
else:
m = pos.match(l)
if m is not None:
if not goNext:
continue
strarr = re.sub(r"\s", ", ", re.sub(r"\;\s+(?=\])", "]", re.sub(r"\;\s+(?!\])", "],[", re.sub(r"(\[)(\d)", "\\1[\\2", m.group(1)))))
list = eval(strarr)
for idx, box in enumerate(list):
if (box[2] >= 32) or (box[3] >= 64):
x = box[0]
y = box[1]
w = box[2]
h = box[3]
ratio = w / h
neww = h / 2.0
offset = (w - neww) / 2.0
print "HERE is big!! ", box, ratio, offset
if (x + offset) > 0:
id = int(start) + idx
file = "/home/kellan/datasets/caltech/set00/V004.seq/I0%04d.jpg" % id # I00000.jpg
print file
img = cv2.imread(file)
cv2.rectangle(img, (int(x), int(y)), (int(x + w), int(y + h)), (0,255,0), 2)
cv2.imshow("sample", img)
cv2.waitKey(50)
def showPeople(f, path, opath):
newobj = re.compile("^lbl=\'(\w+)\'\s+str=(\d+)\s+end=(\d+)\s+hide=0$")
pos = re.compile("^pos\s=(\[[((\d+\.+\d*)|\s+|\;)]*\])$")
@ -152,20 +96,9 @@ if __name__ == "__main__":
opath = os.path.join(options.output, datetime.now().strftime("raw_ge48-" + "-%Y-%m-%d-%H-%M-%S"))
os.mkdir(opath)
# mat = cv2.imread("/home/kellan/datasets/INRIArescaled/training_set/pos/octave_-1/sample_0.png");
# cv2.rectangle(mat, (10, 10), (42, 74), (8, 107, 255), 1)
# cv2.imshow("person", mat)
# cv2.waitKey(0)
# if c == 27:
# exit(0)
gl = glob.iglob( os.path.join(options.input, "set[0-1][0-9]/V0[0-9][0-9].txt"))
for each in gl:
path, ext = os.path.splitext(each)
path = path + ".seq"
print path
showPeople(open(each), path, opath)
# f = open("/home/kellan/datasets/caltech/set00/V004.txt")
# extract(f)
showPeople(open(each), path, opath)