try:
# create outputfolder
outputfolder = OUTPUTBASE + os.path.basename(lm_file)[:-8] + "/"
if (not os.path.exists(outputfolder)):
os.mkdir(outputfolder)
message = "image " + os.path.basename(lm_file) + " (" + str(
n) + " of " + str(len(lm_files)) + " )"
#if (os.path.exists(outputfolder+'merged.obj') and not OVERWRITE):
# print ("already done", message)
# continue
# gather lm and img files
#lms = glob.glob(vid_folder+"/*.pts")
img_file = esl.find_imgs_to_lms([lm_file[:-8] + '.pts'],
"*.jpg")[0]
#print (lm_file)
#print (img_file)
# prepare multi image fit command
cmd = esl.assemble_command(EXE, [lm_file], [img_file],
outputfolder,
regularisation=30.0,
iterations=10,
model="3.4k")
#cmd.replace("/user/HS204/m09113/eos/install/share/ibug_to_sfm.txt", "/user/HS204/m09113/my_project_folder/AFLW2000_fittings/ibug_to_sfm_static_contour.txt")
#print (cmd)
#exit()
# print id and start cmd
group_10_centre, 1)
elif experiment_idx == 7:
lms = random.sample(
group_10_centre, 1) + random.sample(
group_10_right, 4) + random.sample(
group_20_right, 5)
elif experiment_idx == 8:
lms = random.sample(group_20_left, 3) + random.sample(
group_10_centre, 4) + random.sample(
group_20_right, 3)
elif experiment_idx == 9:
lms = random.sample(group_20_left, 1) + random.sample(
group_10_left, 4) + random.sample(
group_10_right, 4) + random.sample(
group_20_right, 1)
imgs = esl.find_imgs_to_lms(lms, "*.png")
message = "id " + os.path.basename(
id_folder
) + " expression " + exp + " pose experiment " + format(
experiment_idx, '02d') + ", set " + str(set_iter)
# prepare multi image fit command
cmd = esl.assemble_command(EXE,
lms,
imgs,
outputfolder_experiment,
regularisation=30.0,
iterations=75)
# print id and start cmd
executor.submit(esl.start_and_log,
try:
# create outputfolder
outputfolder = OUTPUTBASE + os.path.basename(vid_folder) + "/"
if (not os.path.exists(outputfolder)):
os.mkdir(outputfolder)
message = "video " + os.path.basename(vid_folder) + " (" + str(
n) + " of " + str(len(vid_folders)) + " )"
if (os.path.exists(outputfolder + 'merged.obj') and not OVERWRITE):
print("already done", message)
continue
# gather lm and img files
lms = glob.glob(vid_folder + "/*.pts")
imgs = esl.find_imgs_to_lms(lms, ".jpg")
# prepare multi image fit command
cmd = esl.assemble_command(EXE,
lms,
imgs,
outputfolder,
regularisation=30.0,
iterations=75)
# print id and start cmd
executor.submit(esl.start_and_log,
"multiframe fitting on " + message,
cmd,
None,
log=outputfolder + LOGNAME) #21600
for experiment in experiments: # each specific number of image
#check if we have enough images with lms for this experiment
if experiment[1] > len(lms):
continue
random.seed(experiment[1] * 223)
for set_iter in range(
experiment[0]
): #each time same number of images but different images
lms_exp = random.sample(lms, experiment[1])
#print (lms_exp)
imgs_exp = esl.find_imgs_to_lms(lms_exp, "*.png")
# create outputfolder
outputfolder = OUTPUTBASE + os.path.basename(id_folder)
if (not os.path.exists(outputfolder)):
os.mkdir(outputfolder)
outputfolder += "/" + exp + "_only/"
if (not os.path.exists(outputfolder)):
os.mkdir(outputfolder)
outputfolder += format(experiment[1],
'03d') + "_images_" + format(
set_iter, '02d') + "/"
if (not os.path.exists(outputfolder)):
os.mkdir(outputfolder)
for n in range(0, len(id_folders)):
id_folder = id_folders[n]
try:
# make absolute
id_folder = os.path.abspath(id_folder)
id_num = os.path.basename(id_folder)
message = "id " + id_num + " (" + str(n) + " of " + str(
len(id_folders)) + " )"
# check if it's a folder
#if (not os.path.isdir(id_folder)):
# continue;
# gather lm and img files
lms = glob.glob(id_folder + "/*.pts")
imgs = esl.find_imgs_to_lms(lms, ".*[!pts]")
# create outputfolder
outputfolder = OUTPUTBASE + id_num + "/"
if (not os.path.exists(outputfolder)):
os.mkdir(outputfolder)
# prepare multi image fit command
cmd = esl.assemble_command(EXE,
lms,
imgs,
outputfolder,
regularisation=30.0,
iterations=75)
# print id and start cmd