if retcode is not 0:
failed+=1
else:
bagoftask.append((cmd, cls))
if isSingleThreaded:
print ""
if not isSingleThreaded:
# Take tasks and run parallel
multiProcessingTasks(config, bagoftask)
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("--cfg", default="dataset.cfg", help="Dataset config file name")
parser.add_argument("--eye-correction", action="store_true", help="Apply eye correction to faces")
parser.add_argument("--validation", action="store_true", help="true if it is validation")
parser.add_argument("--single", action="store_true", help="Use Single Threaded process (slower but better for slow computer)")
parser.add_argument("dsFolder", help="Dataset base folder")
args = parser.parse_args()
try:
config={}
config=dcp.parse_ini_config(args.cfg)
start_time = timeit.default_timer()
dataset_cropFaces(args.dsFolder, config, args.eye_correction, args.single, validation=args.validation)
print "Time Taken: {}".format(timeit.default_timer() - start_time)
except Exception as e:
print("ERR: something wrong (%s)" % str(e))
sys.exit(1)
retcode = subprocess.call(args)
if retcode is not 0:
failed += 1
#print("\nWARN: execution has returned error %d" % retcode)
print ""
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("--cfg",
default="dataset.cfg",
help="Dataset config file name")
parser.add_argument("--eye-correction",
action="store_true",
help="Apply eye correction to faces")
parser.add_argument("--validation",
action="store_true",
help="true if it is validation")
parser.add_argument("dsFolder", help="Dataset base folder")
args = parser.parse_args()
try:
config = {}
config = dcp.parse_ini_config(args.cfg)
dataset_cropFaces(args.dsFolder,
config,
args.eye_correction,
validation=args.validation)
except Exception as e:
print("ERR: something wrong (%s)" % str(e))
sys.exit(1)
classificators.append(abs_f)
args = [execut, config['FACECROP_FACE_DETECTOR_CFG']]
if eye_detection:
args.append(config['FACECROP_EYE_DETECTOR_CFG'])
else:
args.append('none')
args += [
config['SIZE']['width'], config['SIZE']['height'],
config['GABOR_NWIDTHS'], config['GABOR_NLAMBDAS'],
config['GABOR_NTHETAS'], mode_s
] + classificators
print "Launching emogen gui! Smile :)"
os.execv(execut, args)
if __name__ == "__main__":
dsFolder = "my_dataset"
cfg = "example_dataset.cfg"
mode = "svm"
try:
config = {}
config = dcp.parse_ini_config(cfg)
launch_gui(dsFolder, config, mode, True)
except Exception as e:
print "ERR: something wrong (%s)" % str(e)
sys.exit(1)
abs_f = os.path.join(class_dir, f)
if os.path.isfile(abs_f):
classificators.append(abs_f)
args = [execut, config['FACECROP_FACE_DETECTOR_CFG']]
if eye_detection:
args.append(config['FACECROP_EYE_DETECTOR_CFG'])
else:
args.append('none')
args += [config['SIZE']['width'], config['SIZE']['height'],
config['GABOR_NWIDTHS'], config['GABOR_NLAMBDAS'],
config['GABOR_NTHETAS'], mode_s] + classificators
print "Launching emogen gui! Smile :)"
os.execv(execut, args);
if __name__ == "__main__":
dsFolder = "my_dataset"
cfg = "example_dataset.cfg"
mode = "svm"
try:
config = {}
config = dcp.parse_ini_config(cfg)
launch_gui(dsFolder, config, mode, True)
except Exception as e:
print "ERR: something wrong (%s)" % str(e)
sys.exit(1)
