opencv/apps/sft/misk/scale_caltech.py
marina.kolpakova 56edff90ba drop deth code
2013-02-01 14:35:28 +04:00

104 lines
3.9 KiB
Python
Executable File

#!/usr/bin/env python
import sys, os, os.path, glob, math, cv2
from datetime import datetime
from optparse import OptionParser
import re
import numpy as np
def showPeople(f, path, opath):
newobj = re.compile("^lbl=\'(\w+)\'\s+str=(\d+)\s+end=(\d+)\s+hide=0$")
pos = re.compile("^pos\s=(\[[((\d+\.+\d*)|\s+|\;)]*\])$")
occl = re.compile("^occl\s*=(\[[0-1|\s]*\])$")
goNext = 0
start = 0
end = 0
person_id = -1;
boxes = []
occls = []
for l in f:
m = newobj.match(l)
if m is not None:
print m.group(1)
if m.group(1) == "person":
goNext = 1
start = int(m.group(2))
end = int(m.group(3))
person_id = person_id + 1
print m.group(1), person_id, start, end
else:
goNext = 0
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"(\[)(\d)", "\\1[\\2", m.group(1)))))
boxes = eval(strarr)
else:
m = occl.match(l)
if m is not None:
occls = eval(re.sub(r"\s+(?!\])", ",", m.group(1)))
if len(boxes) > 0 and len(boxes) == len(occls):
print len(boxes)
for idx, box in enumerate(boxes):
color = (8, 107, 255)
if occls[idx] == 1:
continue
# color = (255, 107, 8)
x = box[0]
y = box[1]
w = box[2]
h = box[3]
id = int(start) - 1 + idx
file = os.path.join(path, "I0%04d.jpg" % id)
print file
if (start + id) < end and w > 5 and h > 47:
img = cv2.imread(file)
fname = re.sub(r"^.*\/(set[0-1]\d)\/(V0\d\d)\.(seq)/(I\d+).jpg$", "\\1_\\2_\\4", file)#os.path.basename(file)
fname = os.path.join(opath, fname + "_%04d." % person_id + "png")
try:
print "->", fname
submat = img[int(y):int(y + h), int(x):int(x + w),:]
cv2.imwrite(fname, submat)
except:
print "something wrong... go next."
pass
cv2.rectangle(img, (int(x), int(y)), (int(x + w), int(y + h)), color, 1)
cv2.imshow("person", img)
c = cv2.waitKey(10)
if c == 27:
exit(0)
if __name__ == "__main__":
parser = OptionParser()
parser.add_option("-i", "--input", dest="input", metavar="DIRECTORY", type="string",
help="path to the Caltech dataset folder.")
parser.add_option("-o", "--output", dest="output", metavar="DIRECTORY", type="string",
help="path to store data", default=".")
(options, args) = parser.parse_args()
if not options.input:
parser.error("Caltech dataset folder is required.")
opath = os.path.join(options.output, datetime.now().strftime("raw_ge48-" + "-%Y-%m-%d-%H-%M-%S"))
os.mkdir(opath)
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)