def get_dims(lines):
idx, width_line = utils.find_line(lines, 'parameter DATA_WIDTH')
idx, depth_line = utils.find_line(lines, 'parameter DEPTH')
w_match = re.search('d(\d+);', width_line)
d_match = re.search('d(\d+);', depth_line)
if w_match is None:
raise Exception('Could not determine shift reg width.')
if d_match is None:
raise Exception('Could not determine shift reg depth.')
width = int(w_match.group(1))
depth = int(d_match.group(1))
return width, depth
def process_shiftreg_file(ifname, ofname):
# Read the file and get the dimensions
lines = []
with open(ifname, 'r') as f:
lines = f.readlines()
width, depth = get_dims(lines)
# Fix the declaration of the shift register signals
# Find the reg ... SRL_SIG line
srl_sig_pattern = r'reg.*SRL_SIG'
srl_sig_idx, srl_sig_line = utils.find_line(lines, srl_sig_pattern)
# Declare a separate register for each element
regs = [('sr_%d' % d) for d in range(depth)]
# Replace it with this:
srl_dec = 'reg[DATA_WIDTH-1:0] ' + ', '.join(regs) + ';\n'
lines[srl_sig_idx] = srl_dec
# Fix the assignments of the elements in the shift register.
# Find the line that begins the for loop
forloop_idx, forloop_line = utils.find_line(lines, r'for \(i=0')
# Empty the next two lines
lines[forloop_idx + 1] = '\n'
lines[forloop_idx + 2] = '\n'
# Create the assignments
s = ' ' * 12
assignments = s + 'sr_0 <= data;\n'
for d in range(depth):
if (d == 0):
continue
assignments += s + ('sr_%d' % d) + ' <= ' + ('sr_%d' % (d - 1)) + ';\n'
# Put in the assignments
lines[forloop_idx] = assignments
# Fix the output data
# Find the line that assigns q
qassign_idx, qassign_line = utils.find_line(lines, 'assign q')
# Build the always block with the case statement.
alen = math.ceil(math.log2(depth))
q_block = 'always @( ' + ', '.join(regs) + ', a) begin\n'
q_block += ' case (a)\n'
for d in range(depth):
q_block += (' ' * 6) + ("%d'd%d" %
(alen, d)) + ': q = ' + regs[d] + ';\n'
q_block += (' ' * 6) + ('default: q = sr_%d;\n' % (depth - 1))
q_block += ' endcase\n'
q_block += 'end\n'
# Put in the new assignment code
lines[qassign_idx] = q_block
# Write the output
with open(ofname, 'w') as of:
of.writelines(lines)
def processing(img, object_points, img_points, M, Minv, left_line, right_line):
#camera calibration, image distortion correction
undist = utils.cal_undistort(img, object_points, img_points)
#get the thresholded binary image
thresholded = thresholding(undist)
#perform perspective transform
thresholded_wraped = cv2.warpPerspective(thresholded,
M,
img.shape[1::-1],
flags=cv2.INTER_LINEAR)
#perform detection
if left_line.detected and right_line.detected:
left_fit, right_fit, left_lane_inds, right_lane_inds = utils.find_line_by_previous(
thresholded_wraped, left_line.current_fit, right_line.current_fit)
else:
left_fit, right_fit, left_lane_inds, right_lane_inds = utils.find_line(
thresholded_wraped)
left_line.update(left_fit)
right_line.update(right_fit)
#draw the detected laneline and the information
area_img = utils.draw_area(undist, thresholded_wraped, Minv, left_fit,
right_fit)
curvature, pos_from_center = utils.calculate_curv_and_pos(
thresholded_wraped, left_fit, right_fit)
result = utils.draw_values(area_img, curvature, pos_from_center)
return result
def get_face_direction(region_skin_image, m, n, tempX, tempY, border, eye1, eye2, pivot): '''based on nose and mouth''' line = ut.find_line(eye1, eye2) farthestPoint = ut.find_the_farthest_point(line, border) specialVector = [farthestPoint[0] - point[0], farthestPoint[1] - point[1]] perpendicularVector = [eye1[1] - eye2[1], eye2[0] - eye1[0]] if (ut.find_angle_between_two_vectors(perpendicularVector, specialVector) < 90): return perpendicularVector return [eye2[1] - eye1[1], eye1[0] - eye2[0]]
def on_opt_btn_clicked(self,action,name): if name == "OK": pn = self.notebook.get_current_page() if pn != -1: doc = self.das[pn] doff = int(self.options_off,16) dlen = int(self.options_len,16) lnum = utils.find_line(doc,doff) self.expwin.destroy() utils.html_export(self,doc,lnum,doff,dlen) else: self.expwin.destroy()
def on_opt_btn_clicked(self,action,name): if name == "OK": pn = self.notebook.get_current_page() if pn != -1: doc = self.das[pn] doff = int(self.options_off,16) dlen = int(self.options_len,16) lnum = utils.find_line(doc,doff) self.expwin.destroy() utils.html_export(self,doc,lnum,doff,dlen) else: self.expwin.destroy()
def sort_ships(front_list, back_list, sub_list, preset_list):
global ship_dict
# Filter by line
clear_boxes(front_list, back_list, sub_list, preset_list, False)
(backline, frontline, subline) = utils.find_line(ship_dict)
# Sort by selected stat
# TODO maybe parallelize
backline = utils.sort_ships(backline, back_list.SortList.get_selected())
frontline = utils.sort_ships(frontline, front_list.SortList.get_selected())
subline = utils.sort_ships(subline, sub_list.SortList.get_selected())
# Get filters
back_filters = back_list.FilterList.get_filters()
front_filters = front_list.FilterList.get_filters()
sub_filters = sub_list.FilterList.get_filters()
# loop through filters and apply filters
for i in back_filters[0].keys():
backline = utils.filter_ships_ui(backline, i, back_filters)
for i in front_filters[0].keys():
frontline = utils.filter_ships_ui(frontline, i, front_filters)
for i in sub_filters[0].keys():
subline = utils.filter_ships_ui(subline, i, sub_filters)
# Create the lists
(back, front, oil, sub,
suboil) = utils.create_line(backline, frontline, subline, preset_ships,
True)
# Add names to the list
(back_images, back_names) = prepare_for_update(back)
t1 = threading.Thread(target=back_list.update_pics,
args=(back_images, back_names))
(front_images, front_names) = prepare_for_update(front)
t2 = threading.Thread(target=front_list.update_pics,
args=(front_images, front_names))
(sub_images, sub_names) = prepare_for_update(sub)
t3 = threading.Thread(target=sub_list.update_pics,
args=(sub_images, sub_names))
t1.start()
t2.start()
t3.start()
t1.join()
t2.join()
t3.join()
def menu2():
""" Menu that sorts our data however we like to our top 3 for front and back"""
global ship_dict
# Split dictionary into backline and frontline
(backline, frontline, subline) = utils.find_line(ship_dict)
# Sort by respective stat
stat = input('Enter the stat you would like to sort the backline by: ')
print("Sorting by " + stat)
new_backline = utils.sort_ships(backline, stat)
new_backline = filter_menu(new_backline)
stat = input('Enter the stat you would like to sort the frontline by: ')
print("Sorting by " + stat)
new_frontline = utils.sort_ships(frontline, stat)
new_frontline = filter_menu(new_frontline)
stat = input('Enter the stat you would like to sort the subline by: ')
print("Sorting by " + stat)
new_subline = utils.sort_ships(subline, stat)
new_subline = filter_menu(new_subline)
if new_backline == None or new_frontline == None:
print("Empty line")
# TODO maybe a delay
menu_actions['main']()
# Allow user to add ships if they want to
preset_names = []
test = "Y"
while (test == 'Y'):
name_choice = input('Name of Ship to add by default to line: ')
if (name_choice == 'N/A' or name_choice == ""):
break
else:
# TODO I can do index here, right?
for ship in ship_dict:
# check for the name
if ship["Name"] == name_choice:
preset_names.append(ship)
break
test = input('Would you like to add another? (Y/N): ')
# Pass it all in and create the lineup
utils.create_line(new_backline, new_frontline, new_subline, preset_names)
choice = input("Enter 0 to exit or main for main menu: ")
exec_menu(choice)
return
def processing(img, object_points, img_points, M, Minv, left_line, right_line):
undist = utils.cal_undistort(img, object_points, img_points)
thresholded = thresholding(undist)
thresholded_wraped = cv2.warpPerspective(thresholded,
M,
img.shape[1::-1],
flags=cv2.INTER_LINEAR)
if left_line.detected and right_line.detected:
left_fit, right_fit, left_lane_inds, right_lane_inds = utils.find_line_by_previous(
thresholded_wraped, left_line.current_fit, right_line.current_fit)
else:
left_fit, right_fit, left_lane_inds, right_lane_inds = utils.find_line(
thresholded_wraped)
left_line.update(left_fit)
right_line.update(right_fit)
area_img = utils.draw_area(undist, thresholded_wraped, Minv, left_fit,
right_fit)
curvature, pos_from_center = utils.calculate_curv_and_pos(
thresholded_wraped, left_fit, right_fit)
result = utils.draw_values(area_img, curvature, pos_from_center)
return result
def processing(img, M, Minv, left_line, right_line):
prev_time = time.time()
img = Image.fromarray(img)
undist = img
#get the thresholded binary image
img = np.array(img)
blur_img = cv2.GaussianBlur(img, (3, 3), 0)
Sobel_x_thresh = utils.abs_sobel_thresh(blur_img,
orient='x',
thresh_min=90,
thresh_max=255)
kernel = cv2.getStructuringElement(cv2.MORPH_ELLIPSE, (5, 5))
dilated = cv2.dilate(Sobel_x_thresh, kernel, iterations=2)
#perform perspective transform
thresholded_wraped = cv2.warpPerspective(dilated,
M,
img.shape[1::-1],
flags=cv2.INTER_LINEAR)
#perform detection
if left_line.detected and right_line.detected:
left_fit, right_fit = utils.find_line_by_previous(
thresholded_wraped, left_line.current_fit, right_line.current_fit)
else:
left_fit, right_fit = utils.find_line(thresholded_wraped)
left_line.update(left_fit)
right_line.update(right_fit)
# #draw the detected laneline and the information
undist = Image.fromarray(img)
area_img = utils.draw_area(undist, thresholded_wraped, Minv, left_fit,
right_fit)
area_img = np.array(area_img)
curr_time = time.time()
exec_time = curr_time - prev_time
info = "time: %.2f ms" % (1000 * exec_time)
print(info)
return area_img, thresholded_wraped
def processing(img, M, Minv, left_line, right_line):
#img = RotateClockWise90(img)
#img = np.rot90(img)
prev_time = time.time()
img = Image.fromarray(img)
undist = img
#get the thresholded binary image
img = np.array(img)
thresholded = thresholding(img)
#perform perspective transform
thresholded_wraped = cv2.warpPerspective(thresholded,
M,
img.shape[1::-1],
flags=cv2.INTER_LINEAR)
#perform detection
if left_line.detected and right_line.detected:
left_fit, right_fit, left_lane_inds, right_lane_inds = utils.find_line_by_previous(
thresholded_wraped, left_line.current_fit, right_line.current_fit)
else:
left_fit, right_fit, left_lane_inds, right_lane_inds = utils.find_line(
thresholded_wraped)
left_line.update(left_fit)
right_line.update(right_fit)
# #draw the detected laneline and the information
undist = Image.fromarray(img)
area_img, gre1 = utils.draw_area(undist, thresholded_wraped, Minv,
left_fit, right_fit)
curvature, pos_from_center = utils.calculate_curv_and_pos(
thresholded_wraped, left_fit, right_fit)
area_img = np.array(area_img)
result = utils.draw_values(area_img, curvature, pos_from_center)
curr_time = time.time()
exec_time = curr_time - prev_time
info = "time: %.2f ms" % (1000 * exec_time)
print(info)
return result, thresholded_wraped
def on_entry_activate (self,action,cmdline=""):
if cmdline == "":
cmdline = self.entry.get_text()
if len(cmdline) > 0:
if self.curcmd == -1 or self.cmdhistory[self.curcmd] != cmdline:
self.cmdhistory.append(cmdline)
self.curcmd = -1
pn = self.notebook.get_current_page()
data = ''
if pn != -1:
# try to take current selection
doc = self.das[pn]
if doc.sel:
r1,c1,r2,c2 = doc.sel
data = doc.data[doc.lines[r1][0]+c1:doc.lines[r2][0]+c2]
cmd = cmdline.split()
doc.bklines = []
doc.bkhvlines = []
doc.bklines += doc.lines
doc.bkhvlines += doc.hvlines
if cmd[0].lower() == "name" and len(cmd) > 1:
ebox = self.notebook.get_tab_label(doc.table)
ebox.get_children()[0].set_text(cmd[1])
elif cmd[0].lower() == "bck":
pass
elif cmd[0].lower() == "reload":
exec("reload(%s)"%(cmd[1]))
elif cmdline[:3].lower() == "run":
hv = doc
if len(cmdline) < 5:
self.open_cli()
cmdline = ""
else:
cmdline = cmdline[4:]
exec(cmdline)
hv.expose(None,None)
elif cmd[0].lower() == "fmt":
cmd = cmd[1:]
mpos = cmdline.find("*")
curpos = doc.lines[doc.curr][0]
if mpos == -1:
# wrap lines starting from current to provided lengths
cmdacc = 0
for k in cmd:
cmdacc += int(k)
if cmdacc + curpos > len(doc.data):
cmd = cmd[:k]
break
doc.fmt_row(doc.curr,cmd)
lrow = doc.curr+len(cmd)
elif mpos == len(cmdline)-1:
# repeat wrapping till end
print("Rpt to end")
cmd = cmdline[4:mpos].split()
cmdacc = 0
rpt = 0
for k in cmd:
cmdacc += int(k)
if cmdacc + curpos > len(doc.data):
cmd = cmd[:k]
rpt = 1
break
if rpt == 0:
rpt = 1+(doc.lines[len(doc.lines)-1][0]-doc.lines[doc.curr][0])/cmdacc
for i in range(rpt):
doc.fmt_row(doc.curr+i*len(cmd),cmd)
lrow = doc.curr+i*len(cmd)
else:
cmd = cmdline[4:mpos].split()
rpt = int(cmdline[mpos+1:].strip())
cmdacc = 0
for k in cmd:
cmdacc += int(k)
if cmdacc + curpos > len(doc.data):
cmd = cmd[:k]
rpt = 1
break
if cmdacc*rpt > doc.lines[len(doc.lines)-1][0]-doc.lines[doc.curr][0]:
rpt = 1+(doc.lines[len(doc.lines)-1][0]-doc.lines[doc.curr][0])/cmdacc
#repeat wrapping last arg times
print("Rpt",rpt,"times",cmd)
for i in range(rpt):
doc.fmt_row(doc.curr+i*len(cmd),cmd)
lrow = doc.curr+i*len(cmd)+1
doc.hvlines[lrow] = ""
doc.set_maxaddr()
doc.expose(None,None)
elif cmd[0].lower() == "goto":
addr = 0
addrflag = 0
if len(cmd) > 1:
try:
goto = cmdline[4:]
pos = goto.find("+")
if pos != -1:
if pos == 1:
addr = doc.lines[doc.curr][0]+doc.curc+int(goto[pos+1:],16)
addrflag = 1
else:
addr = int(goto[1:pos],16)+int(goto[pos+1:],16)
else:
pos = goto.find("-")
if pos != -1:
if pos == 1:
addr = doc.lines[doc.curr][0]+doc.curc-int(goto[pos+1:],16)
addrflag = 1
else:
addr = int(goto[1:pos],16)-int(goto[pos+1:],16)
else:
addr = int(goto[1:], 16)
print("Addr: ",addr)
except:
print("Wrong string for Hex address")
elif doc.sel:
if len(data) <4:
dstr = data + "\x00"*(4-len(data[:4]))
else:
dstr = data[:4]
addr = struct.unpack("<I",dstr)
print("Addr sel: %04x"%addr)
# try to validate/scroll
llast = len(doc.lines)
if addr < doc.lines[len(doc.lines)-1][0]:
lnum = utils.find_line(doc,addr)
print("Lnum found",lnum,"%x %x"%(doc.lines[lnum][0],doc.lines[lnum+1][0]))
if addrflag == 0:
self.entry.set_text("goto %x"%addr)
doc.curr = lnum
doc.curc = addr - doc.lines[lnum][0]
doc.offnum = min(lnum,llast-doc.numtl)
doc.offset = doc.lines[lnum][0]
else:
print("Address after end of file")
doc.offnum = llast-doc.numtl
doc.offset = doc.lines[llast-1][0]
doc.vadj.value = doc.offnum
doc.expose(doc.hv,action)
elif cmdline[0] == "?":
utils.cmd_parse(cmdline,self,doc)
elif cmdline[0] == "!":
# off;len;text
cmd = cmdline[1:].split(";")
if len(cmd) < 3:
# add comment to selection or cursor
if doc.cursor_in_sel():
rs,cs,re,ce = doc.sel
clen = doc.get_sel_len()
else:
rs = doc.curr
cs = doc.curc
clen = 1
text = cmdline[1:]
off = doc.lines[rs][0]+cs+1
else:
text = ";".join(cmd[2:])
off = int(cmd[0],16)+1
clen = int(cmd[1],16)
try:
doc.insert_comment2(text,off,clen)
doc.expose(doc.hv,action)
except:
print("Wrong args",sys.exc_info())
elif cmdline.lower() == "dump":
fname = self.file_open('Save',None,gtk.FILE_CHOOSER_ACTION_SAVE)
if fname:
f = open(fname,'wb')
f.write(doc.data)
f.close()
else:
print("Nothing to save")
elif cmd[0].lower() == "html":
off = -1
try:
off = int(cmd[1],16)
clen = int(cmd[2],16)
lnum = 0
if off < len(doc.data):
lnum = utils.find_line(doc,off)
addr = doc.lines[lnum]
if addr < off:
clen += off - addr
except:
print("Something wrong with arguments",sys.exc_info())
if off == -1:
lnum = 0
clen = len(doc.data)
utils.html_export(self,doc,lnum,off,clen)
elif cmdline[0] == "/":
if len(cmdline) > 1:
pos1 = cmdline.find("+")
pos2 = cmdline.find("-")
if pos1 != -1 or pos2 != -1:
pos = max(pos1,pos2)
try:
arg1 = int(cmdline[1:pos],16)
arg2 = int(cmdline[pos+1:],16)
if pos1 != -1:
addr = arg1+arg2
self.entry.set_text("/%x+%x"%(addr,arg2))
else:
addr = arg1-arg2
self.entry.set_text("/%x-%x"%(addr,arg2))
lnum = utils.find_line (doc,addr)
cnum = addr - doc.lines[lnum][0]
except:
print("Invalid offset")
else:
arg = cmdline[1:]
try:
addr = int(arg,16)
lnum = utils.find_line (doc,addr)
cnum = addr - doc.lines[lnum][0]
except:
print("Invalid offset")
else:
lnum = doc.curr
cnum = doc.curc
if lnum > 0:
if cnum > 0:
doc.fmt(lnum,[cnum])
lnum += 1
doc.curr = lnum
doc.curc = 0
s = (doc.lines[lnum-1][1]+1)%4
doc.lines[lnum-1] = (doc.lines[lnum-1][0],s)
# scroll down if went below screen
if lnum > doc.offnum+doc.numtl-3:
doc.offnum += doc.numtl/2
# scroll up if went above screen
if lnum < doc.offnum:
doc.offnum = lnum
doc.expose(None,None)
def on_entry_activate (self,action,cmdline=""):
if cmdline == "":
cmdline = self.entry.get_text()
if len(cmdline) > 0:
if self.curcmd == -1 or self.cmdhistory[self.curcmd] != cmdline:
self.cmdhistory.append(cmdline)
self.curcmd = -1
pn = self.notebook.get_current_page()
data = ''
if pn != -1:
# try to take current selection
doc = self.das[pn]
if doc.sel:
r1,c1,r2,c2 = doc.sel
data = doc.data[doc.lines[r1][0]+c1:doc.lines[r2][0]+c2]
cmd = cmdline.split()
doc.bklines = []
doc.bkhvlines = []
doc.bklines += doc.lines
doc.bkhvlines += doc.hvlines
if cmd[0].lower() == "name" and len(cmd) > 1:
ebox = self.notebook.get_tab_label(doc.table)
ebox.get_children()[0].set_text(cmd[1])
elif cmd[0].lower() == "bck":
pass
elif cmd[0].lower() == "reload":
exec("reload(%s)"%(cmd[1]))
elif cmdline[:3].lower() == "run":
hv = doc
if len(cmdline) < 5:
self.open_cli()
cmdline = ""
else:
cmdline = cmdline[4:]
exec(cmdline)
hv.expose(None,None)
elif cmd[0].lower() == "fmt":
cmd = cmd[1:]
mpos = cmdline.find("*")
curpos = doc.lines[doc.curr][0]
if mpos == -1:
# wrap lines starting from current to provided lengths
cmdacc = 0
for k in cmd:
cmdacc += int(k)
if cmdacc + curpos > len(doc.data):
cmd = cmd[:k]
break
doc.fmt_row(doc.curr,cmd)
lrow = doc.curr+len(cmd)
elif mpos == len(cmdline)-1:
# repeat wrapping till end
print "Rpt to end"
cmd = cmdline[4:mpos].split()
cmdacc = 0
rpt = 0
for k in cmd:
cmdacc += int(k)
if cmdacc + curpos > len(doc.data):
cmd = cmd[:k]
rpt = 1
break
if rpt == 0:
rpt = 1+(doc.lines[len(doc.lines)-1][0]-doc.lines[doc.curr][0])/cmdacc
for i in range(rpt):
doc.fmt_row(doc.curr+i*len(cmd),cmd)
lrow = doc.curr+i*len(cmd)
else:
cmd = cmdline[4:mpos].split()
rpt = int(cmdline[mpos+1:].strip())
cmdacc = 0
for k in cmd:
cmdacc += int(k)
if cmdacc + curpos > len(doc.data):
cmd = cmd[:k]
rpt = 1
break
if cmdacc*rpt > doc.lines[len(doc.lines)-1][0]-doc.lines[doc.curr][0]:
rpt = 1+(doc.lines[len(doc.lines)-1][0]-doc.lines[doc.curr][0])/cmdacc
#repeat wrapping last arg times
print "Rpt",rpt,"times",cmd
for i in range(rpt):
doc.fmt_row(doc.curr+i*len(cmd),cmd)
lrow = doc.curr+i*len(cmd)+1
doc.hvlines[lrow] = ""
doc.set_maxaddr()
doc.expose(None,None)
elif cmd[0].lower() == "goto":
addr = 0
addrflag = 0
if len(cmd) > 1:
try:
goto = cmdline[4:]
pos = goto.find("+")
if pos != -1:
if pos == 1:
addr = doc.lines[doc.curr][0]+doc.curc+int(goto[pos+1:],16)
addrflag = 1
else:
addr = int(goto[1:pos],16)+int(goto[pos+1:],16)
else:
pos = goto.find("-")
if pos != -1:
if pos == 1:
addr = doc.lines[doc.curr][0]+doc.curc-int(goto[pos+1:],16)
addrflag = 1
else:
addr = int(goto[1:pos],16)-int(goto[pos+1:],16)
else:
addr = int(goto[1:], 16)
print "Addr: ",addr
except:
print "Wrong string for Hex address"
elif doc.sel:
if len(data) <4:
dstr = data + "\x00"*(4-len(data[:4]))
else:
dstr = data[:4]
addr = struct.unpack("<I",dstr)
print "Addr sel: %04x"%addr
# try to validate/scroll
llast = len(doc.lines)
if addr < doc.lines[len(doc.lines)-1][0]:
lnum = utils.find_line(doc,addr)
print "Lnum found",lnum,"%x %x"%(doc.lines[lnum][0],doc.lines[lnum+1][0])
if addrflag == 0:
self.entry.set_text("goto %x"%addr)
doc.curr = lnum
doc.curc = addr - doc.lines[lnum][0]
doc.offnum = min(lnum,llast-doc.numtl)
doc.offset = doc.lines[lnum][0]
else:
print "Address after end of file"
doc.offnum = llast-doc.numtl
doc.offset = doc.lines[llast-1][0]
doc.vadj.value = doc.offnum
doc.expose(doc.hv,action)
elif cmdline[0] == "?":
utils.cmd_parse(cmdline,self,doc)
elif cmdline[0] == "!":
# off;len;text
cmd = cmdline[1:].split(";")
if len(cmd) < 3:
# add comment to selection or cursor
if doc.cursor_in_sel():
rs,cs,re,ce = doc.sel
clen = doc.get_sel_len()
else:
rs = doc.curr
cs = doc.curc
clen = 1
text = cmdline[1:]
off = doc.lines[rs][0]+cs+1
else:
text = ";".join(cmd[2:])
off = int(cmd[0],16)+1
clen = int(cmd[1],16)
try:
doc.insert_comment2(text,off,clen)
doc.expose(doc.hv,action)
except:
print "Wrong args",sys.exc_info()
elif cmdline.lower() == "dump":
fname = self.file_open('Save',None,gtk.FILE_CHOOSER_ACTION_SAVE)
if fname:
f = open(fname,'wb')
f.write(doc.data)
f.close()
else:
print "Nothing to save"
elif cmd[0].lower() == "html":
off = -1
try:
off = int(cmd[1],16)
clen = int(cmd[2],16)
lnum = 0
if off < len(doc.data):
lnum = utils.find_line(doc,off)
addr = doc.lines[lnum]
if addr < off:
clen += off - addr
except:
print "Something wrong with arguments",sys.exc_info()
if off == -1:
lnum = 0
clen = len(doc.data)
utils.html_export(self,doc,lnum,off,clen)
elif cmdline[0] == "/":
if len(cmdline) > 1:
pos1 = cmdline.find("+")
pos2 = cmdline.find("-")
if pos1 != -1 or pos2 != -1:
pos = max(pos1,pos2)
try:
arg1 = int(cmdline[1:pos],16)
arg2 = int(cmdline[pos+1:],16)
if pos1 != -1:
addr = arg1+arg2
self.entry.set_text("/%x+%x"%(addr,arg2))
else:
addr = arg1-arg2
self.entry.set_text("/%x-%x"%(addr,arg2))
lnum = utils.find_line (doc,addr)
cnum = addr - doc.lines[lnum][0]
except:
print "Invalid offset"
else:
arg = cmdline[1:]
try:
addr = int(arg,16)
lnum = utils.find_line (doc,addr)
cnum = addr - doc.lines[lnum][0]
except:
print "Invalid offset"
else:
lnum = doc.curr
cnum = doc.curc
if lnum > 0:
if cnum > 0:
doc.fmt(lnum,[cnum])
lnum += 1
doc.curr = lnum
doc.curc = 0
s = (doc.lines[lnum-1][1]+1)%4
doc.lines[lnum-1] = (doc.lines[lnum-1][0],s)
# scroll down if went below screen
if lnum > doc.offnum+doc.numtl-3:
doc.offnum += doc.numtl/2
# scroll up if went above screen
if lnum < doc.offnum:
doc.offnum = lnum
doc.expose(None,None)
def parse_receipt(raw_text):
purchases = []
raw_text_lines = raw_text.split("\n")
items = [
" ".join(a.split()[1:]) for a in re.findall("(?=\d+\. ).*", raw_text)
]
for i, it in enumerate(items):
weight_search_result = re.search("\d+(\.d+)?\ ?(к?гр?|м?л|шт)", it)
if weight_search_result:
weight_start, weight_end = weight_search_result.span()
name = it[:weight_start].strip()
*_, weight, measurement = re.split("(\d+)",
it[weight_start:weight_end])
weight = float(weight.strip())
try:
measurement, to_divide = normalize_measurement(
measurement.strip())
weight /= to_divide
except UnrecognizedMeasurement as e:
print(e)
measurement = ITEMS_CODE
else:
# weighted item, but ask user
name = it
measurement = KILOGRAMM_CODE
weight = None
if i < len(items) - 1:
i1, i2 = find_line(raw_text_lines,
items[i]), find_line(raw_text_lines,
items[i + 1])
else:
i1, i2 = find_line(raw_text_lines, items[i]), len(raw_text_lines)
if i1 is not None and i2 is not None:
metadata = list(filter(lambda x: x, raw_text_lines[i1 + 1:i2]))
quantity_line = metadata[0].split('x')[1].strip()
full_price = float(
quantity_line.split('=')[1].strip().replace(",", "."))
quantity = float(
quantity_line.split('=')[0].strip().replace(",", "."))
if len(metadata) > 1:
full_price -= float(metadata[1].split(":")[1].strip().replace(
",", "."))
if weight is None:
if quantity == 1:
# TODO: suspicious, possibly it's pieces and it might not be one, ask user
measurement = ITEMS_CODE
weight = quantity
full_weight = weight
else:
if measurement == ITEMS_CODE:
# TODO: multiply by weight of one piece
pass
full_weight = quantity * weight
# print(f"Name: {name}, Weight: {weight} {code2name[measurement]}, "
# f"Quantity: {quantity}, Full weight: {full_weight} {code2name[measurement]} Full price: {full_price}")
purchases.append(
Purchase(name, weight, measurement, quantity, full_weight,
full_price))
return purchases
def processing(img, object_points, img_points, M, Minv, left_line, right_line):
# camera calibration, image distortion correction
# undist = utils.cal_undistort(img,object_points,img_points)
cv2.imshow("img", img)
hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
# 设置阈值下限和上限，去除背景颜色
lower_red = np.array([80, 0, 0])
upper_red = np.array([160, 255, 150])
lower_white = np.array([0, 0, 221])
upper_white = np.array([180, 30, 255])
lower_yellow = np.array([100, 43, 46])
upper_yellow = np.array([120, 255, 255])
lower_lane = np.array([0, 0, 50])
upper_lane = np.array([180, 43, 120])
# 创建掩膜
# 将原图像和掩膜做位与运算
white_img = colorMask("white_mask", img, hsv, lower_white, upper_white)
# yellow_img = colorMask("yellow_mask", img, hsv, lower_yellow, upper_yellow)
# lane_img = colorMask("lane_mask", img, hsv, lower_lane, upper_lane)
undist = img
gray = cv2.cvtColor(white_img, cv2.COLOR_RGB2GRAY)
ret, binary = cv2.threshold(gray, 200, 255,
cv2.THRESH_BINARY | cv2.THRESH_TRIANGLE)
ret, binary2 = cv2.threshold(gray, 200, 1,
cv2.THRESH_BINARY | cv2.THRESH_TRIANGLE)
#cv2.imshow("binary", binary)
rgb = cv2.cvtColor(binary, cv2.COLOR_GRAY2RGB)
cv2.imshow("rgb", rgb)
#cv2.imshow("binary2", binary)
# get the thresholded binary image
thresholded = thresholding(rgb)
cv2.imshow("thresholded*255", thresholded * 255)
#perform perspective transform
thresholded_wraped = cv2.warpPerspective(binary2,
M,
img.shape[1::-1],
flags=cv2.INTER_LINEAR)
cv2.imshow("thresholded_wraped*255", thresholded_wraped * 255)
#perform detection
if left_line.detected and right_line.detected:
print("find line")
left_fit, right_fit, left_lane_inds, right_lane_inds = utils.find_line_by_previous(
thresholded_wraped, left_line.current_fit, right_line.current_fit)
else:
print("no find line")
left_fit, right_fit, left_lane_inds, right_lane_inds = utils.find_line(
thresholded_wraped)
left_line.update(left_fit)
right_line.update(right_fit)
#draw the detected laneline and the information
area_img = utils.draw_area(undist, thresholded_wraped, Minv, left_fit,
right_fit)
cv2.imshow("area_img", area_img)
cv2.waitKey(50)
#print(area_img)
#curvature,pos_from_center = utils.calculate_curv_and_pos(thresholded_wraped,left_fit, right_fit)
#result = utils.draw_values(area_img,curvature,pos_from_center)
#result=area_img
result = rgb
return result
plt.subplot(len(perspective_transformed_images), 2, 2 * i + 2)
i += 1
plt.title('lane fitting')
out_img[nonzeroy[left_lane_inds], nonzerox[left_lane_inds]] = [255, 0, 0]
out_img[nonzeroy[right_lane_inds], nonzerox[right_lane_inds]] = [0, 0, 255]
plt.imshow(out_img)
plt.plot(left_fitx, ploty, color='yellow')
plt.plot(right_fitx, ploty, color='yellow')
plt.xlim(0, 1280)
plt.ylim(720, 0)
plt.savefig('lane fitting.png')
# In[23]:
for binary_warped in perspective_transformed_images:
left_fit, right_fit, left_lane_inds, right_lane_inds = utils.find_line(
binary_warped)
curvature, distance_from_center = utils.calculate_curv_and_pos(
binary_warped, left_fit, right_fit)
# In[24]:
plt.figure(figsize=(20, 40))
for i in range(0, (len(undistorted_test_images))):
left_fit, right_fit, left_lane_inds, right_lane_inds = utils.find_line(
perspective_transformed_images[i])
curvature, distance_from_center = utils.calculate_curv_and_pos(
perspective_transformed_images[i], left_fit, right_fit)
result = utils.draw_area(undistorted_test_images[i],
perspective_transformed_images[i], Minv, left_fit,
right_fit)
img = utils.draw_values(result, curvature, distance_from_center)