img_dir = os.path.join(data_path, 'img')
tracker = PyTracker(img_dir,
tracker_type=tracker_type,
dataset_config=dataset_config)
result_path = "../results/CF/{0}/{1}/{2}".format(
tracker_type, dataset, data_name)
if not os.path.exists(result_path):
os.makedirs(result_path)
poses, fps, apce, psr, fmax = tracker.tracking(
verbose=True,
video_path=os.path.join(result_path, data_name + '.avi'))
auc = plot_success(
gts, poses,
os.path.join(result_path, data_name + '_success.jpg'))
precision = plot_precision(
gts, poses,
os.path.join(result_path, data_name + '_precision.jpg'))
fpss.append(np.float(fps))
apses.append(np.float(apce))
psrs.append(np.float(psr))
fmaxs.append(np.float(fmax))
aucs.append(np.float(auc))
precisions.append(np.float(precision))
file_path = "../results/CF/{0}/{1}/result.txt".format(
tracker_type, dataset)
if not os.path.exists(file_path):
with open(file_path, "w") as f:
f.write(
"Name\t\tFPS\t\tAPCE\t\tPSR\t\tFmax\t\tAUC\t\tPrecision\n"
import os
from examples.pytracker import PyTracker
from lib.utils import get_ground_truthes, plot_precision, plot_success
from examples.otbdataset_config import OTBDatasetConfig
if __name__ == '__main__':
data_dir = '../dataset/test'
data_names = sorted(os.listdir(data_dir))
print(data_names)
dataset_config = OTBDatasetConfig()
for data_name in data_names:
data_path = os.path.join(data_dir, data_name)
gts = get_ground_truthes(data_path)
if data_name in dataset_config.frames.keys():
start_frame, end_frame = dataset_config.frames[data_name][:2]
if data_name != 'David':
gts = gts[start_frame - 1:end_frame]
img_dir = os.path.join(data_path, 'img')
tracker = PyTracker(img_dir,
tracker_type='LDES',
dataset_config=dataset_config)
poses = tracker.tracking(verbose=True,
video_path=os.path.join(
'../results/CF', data_name + '_vis.avi'))
plot_success(gts, poses,
os.path.join('../results/CF', data_name + '_success.jpg'))
plot_precision(
gts, poses,
os.path.join('../results/CF', data_name + '_precision.jpg'))
img_dir = os.path.join(data_path, 'img') # Elnura color names (CN)
#trackers___ = ['MOSSE', 'KCF_GRAY', 'CN']
tracker = PyTracker(
img_dir, tracker_type=tracker_type, dataset_config=dataset_config
) # DCF_HOG DCF_GRAY STRCF ECO KCF_GRAY MOSSE KCF_CN CN ECO-HC CSRDCF
video_path = join(join(data_dir, data_name),
'img/RESULT/' + tracker_type + '_vis.avi')
success_plot_path = join(join(data_dir, data_name),
'img/RESULT/' + tracker_type + '_success.png')
precision_plot_path = join(
join(data_dir, data_name),
'img/RESULT/' + tracker_type + '_precision.png')
poses = tracker.tracking(verbose=True, video_path=video_path)
plot_success(gts, poses, success_plot_path)
plot_precision(gts, poses, precision_plot_path)
'''
for data_name in data_names:
print(data_name)
data_path = os.path.join(data_dir, data_name) # Elnura
img_dir1 = os.path.join(data_path,'img/RESULT/MOSSE')
img_dir2 = os.path.join(data_path, 'img/RESULT/KCF_CN')
img_dir3 = os.path.join(data_path, 'img/RESULT/KCF_GRAY')
create_fig(img_dir1, 'MOSSE ' + data_name +'.png')
create_fig(img_dir2, 'KCF_CN ' + data_name +'.png')
create_fig(img_dir3, 'KCF_GRAY ' + data_name +'.png')
'''