Пример #1
0
def local_env_settings():
    settings = EnvSettings()

    settings.otb_path = '/data/tracking_datasets/otb_sequences'
    settings.nfs_path = '/data/tracking_datasets/nfs'
    settings.uav_path = '/data/tracking_datasets/ECCV16_Dataset_UAV123'
    settings.tpl_path = '/data/tracking_datasets/tpc128'
    settings.vot_path = ''
    settings.trackingnet_path = ''
    settings.results_path = '/home/lichao/projects/pytracking_lichao/pytracking/tracking_results'
    settings.network_path = '/home/lichao/projects/pytracking_lichao/train_ws/checkpoints/ltr/seq_tracking'

    return settings
Пример #2
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def local_env_settings():
    settings = EnvSettings()

    # Set your local paths here.

    settings.got10k_path = ''
    settings.lasot_path = ''
    settings.network_path = '/disk/xuxiang/FCOT/models/'  # Where tracking networks are stored.
    settings.nfs_path = ''
    settings.otb_path = ''
    settings.packed_results_path = '/disk/xuxiang/FCOT/pytracking/tracking_results/'
    settings.results_path = '/disk/xuxiang/FCOT/pytracking/tracking_results/'  # Where to store tracking results
    settings.trackingnet_path = ''
    settings.uav_path = ''
    settings.vot_path = '/nas/datasets/VOT/vot2018/'

    return settings
Пример #3
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def local_env_settings():
    settings = EnvSettings()

    # Set your local paths here.

    settings.davis_dir = ''
    settings.got10k_path = '/home/cx/toolkit/got10k/datasets/'
    settings.got_packed_results_path = '/home/cx/TransT/pytracking/tracking_results/got_packed_results/'
    settings.got_reports_path = ''
    settings.lasot_path = '/home/cx/cx3/LaSOTBenchmark'
    settings.network_path = '/home/cx/detr-tracking/pytracking/networks/'    # Where tracking networks are stored.
    settings.nfs_path = '/home/cx/cx2/Downloads/nfs'
    settings.otb_path = '/home/cx/cx2/OTB100'
    settings.result_plot_path = '/home/cx/TransT/pytracking/result_plots/'
    settings.results_path = '/home/cx/TransT/pytracking/tracking_results'    # Where to store tracking results
    settings.segmentation_path = '/home/cx/TransT/pytracking/segmentation_results/'
    settings.tn_packed_results_path = ''
    settings.tpl_path = ''
    settings.trackingnet_path = ''
    settings.uav_path = '/home/cx/cx2/Downloads/UAV123/UAV123_fix/Dataset_UAV123/UAV123'
    settings.vot_path = '/home/cx/cx3/VOT2018'
    settings.youtubevos_dir = ''

    return settings
Пример #4
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def local_env_settings():
    settings = EnvSettings()

    # Set your local paths here.

    settings.got10k_path = ''
    settings.lasot_path = ''
    settings.network_path = osp.join(ROOT_DIR, 'pytracking/networks')    # Where tracking networks are stored.
    settings.nfs_path = ''
    settings.otb_path = ''
    settings.tpl_path = ''
    settings.trackingnet_path = ''
    settings.uav_path = ''
    settings.vot_path = ''

    return settings
Пример #5
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def local_env_settings():
    settings = EnvSettings()

    # Set your local paths here.

    settings.got10k_path = ''
    settings.lasot_path = ''
    settings.network_path = '/home/yan/Data2/DeT-models/'    # Where tracking networks are stored.
    settings.nfs_path = ''
    settings.otb_path = ''
    settings.results_path = '/home/yan/Data2/DAL/results/'    # Where to store tracking results
    settings.tpl_path = ''
    settings.trackingnet_path = ''
    settings.uav_path = ''
    settings.vot_path = ''
    settings.votd_path = '/home/yans/Datasets/CDTB'
    settings.depthtrack_path = '/home/yan/Data2/ICCV2021-RGBD-DepthTrack/sequences/'

    return settings
Пример #6
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def local_env_settings():
    settings = EnvSettings()

    # Set your local paths here.

    settings.got10k_path = ''
    settings.lasot_path = '/media/zj/4T/Dataset/LaSOT/dataset/images'
    settings.network_path = '/home/zj/Downloads/pytracking-master/pytracking/networks/'  # Where tracking networks are stored.
    settings.nfs_path = ''
    settings.otb_path = '/media/zj/4T/Dataset/OTB-100/'
    settings.results_path = '/home/zj/tracking/metricNet/MetricNet-git/pytracking_MetricNet/pytracking/tracking_results/'  # Where to store tracking results
    settings.tpl_path = ''
    settings.trackingnet_path = '/media/zj/4T/Dataset/TrackingNet'
    settings.uav_path = '/media/zj/4T/Dataset/UAV123/Dataset_UAV123/UAV123'
    settings.vot_path = '/media/zj/4T/Dataset/VOT/VOT18'

    return settings
Пример #7
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def local_env_settings():
    settings = EnvSettings()

    # Set your local paths here.

    settings.nfl_dir = '/media/data_cifs/projects/prj_tracking/nfl/'
    settings.davis_dir = ''
    settings.got10k_path = '/media/data_cifs/projects/prj_tracking/pytorch_hGRU/datasets/got10k/'
    settings.got_packed_results_path = '/media/data_cifs/projects/prj_tracking/pytorch_hGRU/TransT/got_results_packed'
    settings.got_reports_path = '/media/data_cifs/projects/prj_tracking/pytorch_hGRU/TransT/got_results'
    settings.lasot_path = '/dev/tracking/lasot/LaSOTBenchmark'
    # settings.lasot_path = '/media/data/tracking/lasot_extended/LaSOT_extension_subset'
    settings.network_path = '/media/data_cifs/projects/prj_tracking/pytorch_hGRU/TransT/pytracking/networks/'  # Where tracking networks are stored.
    settings.nfs_path = ''
    settings.otb_path = ''
    settings.result_plot_path = '/media/data_cifs/projects/prj_tracking/pytorch_hGRU/TransT/pytracking/result_plots/'
    settings.results_path = '/media/data_cifs/projects/prj_tracking/pytorch_hGRU/TransT/pytracking/tracking_results/'  # Where to store tracking results
    settings.segmentation_path = '/media/data_cifs/projects/prj_tracking/pytorch_hGRU/TransT/pytracking/segmentation_results/'
    settings.tn_packed_results_path = ''
    settings.tpl_path = ''
    # settings.trackingnet_path = '/home/dlinsley/tracking/trackingnet/TrackingNet/'
    settings.trackingnet_path = '../datasets/TrackingNetTest'  # '/home/dlinsley/tracking/trackingnet/TrackingNet'
    settings.uav_path = ''
    settings.vot_path = ''
    settings.youtubevos_dir = ''

    return settings
Пример #8
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def local_env_settings():
    settings = EnvSettings()

    # Set your local paths here.

    settings.got10k_path = ''
    settings.lasot_path = ''
    settings.network_path = '/home/owl/PycharmProjects/pytracking-master/pytracking/networks/'    # Where tracking networks are stored.
    settings.nfs_path = ''
    settings.otb_path = ''
    settings.results_path = '/home/owl/PycharmProjects/pytracking-master/pytracking/tracking_results/'    # Where to store tracking results
    settings.tpl_path = ''
    settings.trackingnet_path = ''
    settings.uav_path = ''
    settings.vot_path = '/home/owl/PycharmProjects/SiamFC++/video_analyst-master_mod/datasets/VOT/vot2018/VOT2018'

    return settings
Пример #9
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def local_env_settings():
    settings = EnvSettings()

    # Set your local paths here.

    settings.got10k_path = ''
    settings.lasot_path = ''
    settings.network_path = base_path + 'pytracking/networks/'  # Where tracking networks are stored.
    settings.nfs_path = ''
    settings.otb_path = '/home/daikenan/dataset/OTB'
    settings.results_path = base_path + 'pytracking/'  # Where to store tracking results
    settings.tpl_path = ''
    settings.trackingnet_path = ''
    settings.uav_path = ''
    settings.vot_path = ''

    return settings
Пример #10
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def local_env_settings():
    settings = EnvSettings()

    # Set your local paths here.

    settings.got10k_path = '/media/wcz/datasets/yang/benchmarks/Got10k/'
    settings.lasot_path = '/media/wcz/datasets/yang/benchmarks/Lasot/LaSOTTest/'
    settings.mobiface_path = ''
    settings.network_path = '/home/wcz/Yang/LEAST/pytracking/networks/'  # Where tracking networks are stored.
    settings.nfs_path = '/media/wcz/datasets/yang/benchmarks/NFS/'
    settings.otb_path = '/media/wcz/datasets/yang/benchmarks/OTB100/'
    settings.results_path = '/home/wcz/Yang/LEAST/pytracking/tracking_results/'  # Where to store tracking results
    settings.tpl_path = '/media/wcz/datasets/yang/benchmarks/TCL128/'
    settings.trackingnet_path = '/media/wcz/datasets/yang/benchmarks/TrackingNet/'
    settings.uav_path = '/media/wcz/datasets/yang/benchmarks/UAV123/'
    settings.vot16_path = '/media/wcz/datasets/yang/benchmarks/VOT2016/'
    settings.vot18_path = '/media/wcz/datasets/yang/benchmarks/VOT2018/'
    settings.vot19_path = '/media/wcz/datasets/yang/benchmarks/VOT2019/'
    settings.vot_path = ''

    return settings
Пример #11
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def local_env_settings():
    settings = EnvSettings()

    # Set your local paths here.

    settings.davis_dir = '/gdrive/My Drive/DAVIS/'
    settings.got10k_path = '/gdrive/My Drive'
    settings.got_packed_results_path = '/gdrive/My Drive'
    settings.got_reports_path = '/gdrive/My Drive'
    settings.lasot_path = '/gdrive/My Drive'
    settings.network_path = '/gdrive/My Drive/pytracking/pytracking/networks/'  # Where tracking networks are stored.
    settings.nfs_path = '/gdrive/My Drive'
    settings.otb_path = '/gdrive/My Drive'
    settings.result_plot_path = '/gdrive/My Drive/pytracking/pytracking/result_plots/'
    settings.results_path = '/gdrive/My Drive/tracking_results/'  # Where to store tracking results
    settings.segmentation_path = '/gdrive/My Drive/pytracking/pytracking/segmentation_results/'
    settings.tn_packed_results_path = '/gdrive/My Drive'
    settings.tpl_path = '/gdrive/My Drive'
    settings.trackingnet_path = '/gdrive/My Drive'
    settings.uav_path = '/gdrive/My Drive'
    settings.vot_path = '/gdrive/My Drive'
    settings.youtubevos_dir = '/gdrive/My Drive'
    settings.mot_dir = '/gdrive/My Drive'

    return settings
Пример #12
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def local_env_settings():
    settings = EnvSettings()

    # Set your local paths here.

    settings.davis_dir = ''
    settings.got10k_path = ''
    settings.got_packed_results_path = ''
    settings.got_reports_path = ''
    settings.lasot_path = ''
    settings.network_path = '/media/dkn/Data2/LTMU_research/PrDiMP_MU/pytracking/networks/'  # Where tracking networks are stored.
    settings.nfs_path = ''
    settings.otb_path = ''
    settings.result_plot_path = '/media/dkn/Data2/LTMU_research/PrDiMP_MU/pytracking/result_plots/'
    settings.results_path = '/media/dkn/Data2/LTMU_research/PrDiMP_MU/pytracking/tracking_results/'  # Where to store tracking results
    settings.segmentation_path = '/media/dkn/Data2/LTMU_research/PrDiMP_MU/pytracking/segmentation_results/'
    settings.tn_packed_results_path = ''
    settings.tpl_path = ''
    settings.trackingnet_path = ''
    settings.uav_path = ''
    settings.vot_path = ''
    settings.youtubevos_dir = ''

    return settings
Пример #13
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def parameters():
    params = TrackerParams()

    # These are usually set from outside
    params.debug = 0                        # Debug level
    params.visualization = False            # Do visualization

    # Use GPU or not (IoUNet requires this to be True)
    params.use_gpu = True

    # Feature specific parameters
    deep_params = TrackerParams()

    # Patch sampling parameters
    params.max_image_sample_size = (18*16)**2   # Maximum image sample size
    params.min_image_sample_size = (18*16)**2   # Minimum image sample size
    params.search_area_scale = 5                # Scale relative to target size
    params.feature_size_odd = False             # Good to use False for even-sized kernels and vice versa

    # Optimization parameters
    params.CG_iter = 5                  # The number of Conjugate Gradient iterations in each update after the first frame
    params.init_CG_iter = 60            # The total number of Conjugate Gradient iterations used in the first frame
    params.init_GN_iter = 6             # The number of Gauss-Newton iterations used in the first frame (only if the projection matrix is updated)
    params.post_init_CG_iter = 0        # CG iterations to run after GN
    params.fletcher_reeves = False      # Use the Fletcher-Reeves (true) or Polak-Ribiere (false) formula in the Conjugate Gradient
    params.standard_alpha = True        # Use the standard formula for computing the step length in Conjugate Gradient
    params.CG_forgetting_rate = None	# Forgetting rate of the last conjugate direction

    # Learning parameters for each feature type
    deep_params.learning_rate = 0.01                # Learning rate
    deep_params.init_samples_minimum_weight = 0.25  # Minimum weight of initial samples in memory
    deep_params.output_sigma_factor = 1/4           # Standard deviation of Gaussian label relative to target size

    # Training parameters
    params.sample_memory_size = 250     # Memory size
    params.train_skipping = 10          # How often to run training (every n-th frame)

    # Online model parameters
    deep_params.kernel_size = (4,4)     # Kernel size of filter
    deep_params.compressed_dim = 64     # Dimension output of projection matrix
    deep_params.filter_reg = 1e-1       # Filter regularization factor
    deep_params.projection_reg = 1e-4   # Projection regularization factor

    # Windowing
    params.feature_window = False       # Perform windowing of features
    params.window_output = False        # Perform windowing of output scores

    # Detection parameters
    params.scale_factors = torch.ones(1) # What scales to use for localization (only one scale if IoUNet is used)
    params.score_upsample_factor = 1     # How much Fourier upsampling to use

    # Init data augmentation parameters
    params.augmentation = {
        'fliplr': True,
        # 'rotate': [5, -5, 10, -10, 20, -20, 30, -30, 45,-45, -60, 60],
        'blur': [(2, 0.2), (0.2, 2), (3,1), (1, 3), (2, 2)],
        'relativeshift': [(0.6, 0.6), (-0.6, 0.6), (0.6, -0.6), (-0.6,-0.6)],
        'dropout': (7, 0.2)
    }

    params.augmentation_expansion_factor = 2    # How much to expand sample when doing augmentation
    params.random_shift_factor = 1/3            # How much random shift to do on each augmented sample
    deep_params.use_augmentation = True         # Whether to use augmentation for this feature

    # Factorized convolution parameters
    # params.use_projection_matrix = True       # Use projection matrix, i.e. use the factorized convolution formulation
    params.update_projection_matrix = True      # Whether the projection matrix should be optimized or not
    params.proj_init_method = 'randn'           # Method for initializing the projection matrix
    params.filter_init_method = 'randn'         # Method for initializing the spatial filter
    params.projection_activation = 'none'       # Activation function after projection ('none', 'relu', 'elu' or 'mlu')
    params.response_activation = ('mlu', 0.05)  # Activation function on the output scores ('none', 'relu', 'elu' or 'mlu')

    # Advanced localization parameters
    params.advanced_localization = True         # Use this or not
    params.target_not_found_threshold = 0.25    # Absolute score threshold to detect target missing
    params.distractor_threshold = 0.8           # Relative threshold to find distractors
    params.hard_negative_threshold = 0.5        # Relative threshold to find hard negative samples
    params.target_neighborhood_scale = 2.2      # Target neighborhood to remove
    params.dispalcement_scale = 0.8             # Dispacement to consider for distractors
    params.hard_negative_learning_rate = 0.02   # Learning rate if hard negative detected
    params.hard_negative_CG_iter = 5            # Number of optimization iterations to use if hard negative detected
    params.update_scale_when_uncertain = True   # Update scale or not if distractor is close

    # IoUNet parameters
    params.use_iou_net = True               # Use IoU net or not
    params.iounet_augmentation = False      # Use the augmented samples to compute the modulation vector
    params.iounet_k = 3                     # Top-k average to estimate final box
    params.num_init_random_boxes = 9        # Num extra random boxes in addition to the classifier prediction
    params.box_jitter_pos = 0.1             # How much to jitter the translation for random boxes
    params.box_jitter_sz = 0.5              # How much to jitter the scale for random boxes
    params.maximal_aspect_ratio = 6         # Limit on the aspect ratio
    params.box_refinement_iter = 5          # Number of iterations for refining the boxes
    params.box_refinement_step_length = 1   # Gradient step length in the bounding box refinement
    params.box_refinement_step_decay = 1    # Multiplicative step length decay (1 means no decay)

    envs = EnvSettings()
    # Setup the feature extractor (which includes the IoUNet)
    deep_fparams = FeatureParams(feature_params=[deep_params])
Пример #14
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def local_env_settings():
    pytracking_path = os.path.abspath(os.path.join(os.path.dirname(__file__), '..'))
    print(pytracking_path)
    settings = EnvSettings()

    # Set your local paths here.

    settings.got10k_path = ''
    settings.lasot_path = ''
    settings.network_path = pytracking_path+'/networks/'    # Where tracking networks are stored.
    settings.nfs_path = ''
    settings.otb_path = ''
    settings.results_path = ''    # Where to store tracking results
    settings.tpl_path = ''
    settings.trackingnet_path = ''
    settings.uav_path = ''
    settings.vot_path = ''

    return settings
Пример #15
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def local_env_settings():
    settings = EnvSettings()

    # Set your local paths here.

    settings.davis_dir = ""
    settings.got10k_path = ""
    settings.got_packed_results_path = ""
    settings.got_reports_path = ""
    settings.lasot_path = ""
    settings.network_path = "weights/pytracking"  # Where tracking networks are stored.
    settings.nfs_path = ""
    settings.otb_path = ""
    settings.result_plot_path = ""
    settings.results_path = ""  # Where to store tracking results
    settings.segmentation_path = ""
    settings.tn_packed_results_path = ""
    settings.tpl_path = ""
    settings.trackingnet_path = ""
    settings.uav_path = ""
    settings.vot_path = ""
    settings.youtubevos_dir = ""

    return settings
Пример #16
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def local_env_settings():
    settings = EnvSettings()

    # Set your local paths here.
    data_root = '/home/sgn/Data1/yan/'

    settings.davis_dir = ''
    settings.got10k_path = ''
    settings.got_packed_results_path = ''
    settings.got_reports_path = ''
    settings.lasot_path = ''
    settings.network_path = data_root + 'pytracking-models/checkpoints/ltr/dimp50_DepthInputs/'  # Where tracking networks are stored.
    settings.nfs_path = ''
    settings.otb_path = ''
    settings.result_plot_path = data_root + 'pytracking-models/result_plots/'
    settings.results_path = data_root + 'pytracking-models/tracking_results/'  # Where to store tracking results
    settings.segmentation_path = ''
    settings.scoremap_path = ''
    settings.tn_packed_results_path = ''
    settings.tpl_path = ''
    settings.trackingnet_path = ''
    settings.uav_path = ''
    settings.vot_path = ''
    settings.cdtb_path = data_root + 'Datasets/CDTB/'
    settings.cdtb_st_path = data_root + 'Datasets/CDTB-ST/'
    settings.youtubevos_dir = ''
    settings.depthtrack_path = data_root + 'Datasets/DeTrack-v1/test/'
    settings.depthtrack_st_path = data_root + 'Datasets/DepthTrack-v1-ST/test/'

    return settings
Пример #17
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def local_env_settings():
    settings = EnvSettings()

    # Set your local paths here.

    settings.got10k_path = ''
    settings.lasot_path = ''
    settings.mobiface_path = ''
    settings.network_path = '/media/dkn/Data21/LTMU_research/D3S_MU/pytracking/networks/'  # Where tracking networks are stored.
    settings.nfs_path = ''
    settings.otb_path = ''
    settings.results_path = '/media/dkn/Data21/LTMU_research/D3S_MU/pytracking/tracking_results/'  # Where to store tracking results
    settings.tpl_path = ''
    settings.trackingnet_path = ''
    settings.uav_path = ''
    settings.vot16_path = ''
    settings.vot18_path = ''
    settings.vot_path = ''

    return settings
Пример #18
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def local_env_settings():
    settings = EnvSettings()

    # Set your local paths here.

    settings.got10k_path = '/home/jaffe/Titanspace/datasets/dataset/GOT-10k'
    settings.lasot_path = '/home/jaffe/Titanspace/datasets/dataset/LaSOT/LaSOTBenchmark'
    settings.mobiface_path = ''
    settings.network_path = '/home/jaffe/PycharmProjects/d3s_me/pytracking/networks'  # Where tracking networks are stored.
    # settings.network_path ='/home/jaffe/PycharmProjects/d3s_me/NoSet3_lr103_PreMask_Segm_GAN/checkpoints/ltr/segmRA_GAN/segmRA_GAN'
    settings.nfs_path = ''
    settings.otb_path = '/home/jaffe/Titanspace/datasets/dataset/testdataset/dataset/OTB100'
    settings.results_path = '/home/jaffe/PycharmProjects/d3s_me/pytracking/tracking_results'  # Where to store tracking results
    settings.tpl_path = ''
    settings.trackingnet_path = '/home/jaffe/Titanspace/datasets/dataset/TrackingNet'
    settings.uav_path = ''
    settings.vot16_path = ''
    settings.vot18_path = '/home/jaffe/dataset/VOT/vot2019/VOT2019'
    settings.vot_path = '/home/jaffe/dataset/VOT/vot2018/VOT2018'
    return settings
Пример #19
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def local_env_settings():
    settings = EnvSettings()

    # Set your local paths here.

    settings.got10k_path = ''
    settings.lasot_path = ''
    settings.network_path = './pytracking/networks/'  # Where tracking networks are stored.
    settings.nfs_path = ''
    settings.otb_path = ''
    settings.results_path = './pytracking/tracking_results/'  # Where to store tracking results
    settings.tpl_path = ''
    settings.trackingnet_path = ''
    settings.uav_path = ''
    settings.vot_path = ''

    return settings
Пример #20
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def local_env_settings():
    settings = EnvSettings()

    # Set your local paths here.

    settings.davis_dir = ''
    settings.got10k_path = ''
    settings.got_packed_results_path = ''
    settings.got_reports_path = ''
    settings.lasot_path = ''
    settings.network_path = '/home/alphabin/Desktop/AlphaRefine_submit/pytracking/networks/'  # Where tracking networks are stored.
    settings.nfs_path = ''
    settings.otb_path = ''
    settings.result_plot_path = '/home/alphabin/Desktop/AlphaRefine_submit/pytracking/result_plots/'
    settings.results_path = '/home/alphabin/Desktop/AlphaRefine_submit/pytracking/tracking_results/'  # Where to store tracking results
    settings.segmentation_path = '/home/alphabin/Desktop/AlphaRefine_submit/pytracking/segmentation_results/'
    settings.tn_packed_results_path = ''
    settings.tpl_path = ''
    settings.trackingnet_path = ''
    settings.uav_path = ''
    settings.vot_path = ''
    settings.youtubevos_dir = ''

    return settings
Пример #21
0
def local_env_settings():
    settings = EnvSettings()

    # Set your local paths here.

    settings.davis_dir = ''
    settings.got10k_path = ''
    settings.got_packed_results_path = ''
    settings.got_reports_path = ''
    settings.lasot_path = ''
    settings.network_path = '/media/choi/hard2/2020/code_lab1/tracking/atom/pytracking/networks/'    # Where tracking networks are stored.
    settings.nfs_path = ''
    settings.otb_path = ''
    settings.result_plot_path = '/media/choi/hard2/2020/code_lab1/tracking/atom/pytracking/result_plots/'
    settings.results_path = '/media/choi/hard2/2020/code_lab1/tracking/atom/pytracking/tracking_results/'    # Where to store tracking results
    settings.segmentation_path = '/media/choi/hard2/2020/code_lab1/tracking/atom/pytracking/segmentation_results/'
    settings.tn_packed_results_path = ''
    settings.tpl_path = ''
    settings.trackingnet_path = ''
    settings.uav_path = ''
    # settings.vot_path = ''
    settings.vot_path = '/media/choi/hard2/2020/code_lab1/tracking/LT_VOT2020/sequences/'
    settings.youtubevos_dir = ''

    return settings
Пример #22
0
def local_env_settings():
    settings = EnvSettings()

    # Set your local paths here.

    settings.davis_dir = ''
    settings.got10k_path = ''
    settings.got_packed_results_path = ''
    settings.got_reports_path = ''
    settings.lasot_path = ''
    settings.network_path = '' 
    settings.nfs_path = ''
    settings.otb_path = ''
    settings.result_plot_path = ''
    settings.results_path = ''   
    settings.segmentation_path = ''
    settings.tn_packed_results_path = ''
    settings.tpl_path = ''
    settings.trackingnet_path = ''
    settings.uav_path = ''
    settings.vot_path = ''
    settings.youtubevos_dir = ''

    return settings
Пример #23
0
def local_env_settings():
    settings = EnvSettings()

    # Set your local paths here.

    settings.got10k_path = ''
    settings.lasot_path = ''
    settings.network_path = '/home/tangjiuqi097/vot/pytracking/pytracking/networks/'  # Where tracking networks are stored.
    settings.nfs_path = ''
    settings.otb_path = ''
    settings.results_path = '/home/tangjiuqi097/vot/pytracking/pytracking/tracking_results/'  # Where to store tracking results
    settings.tpl_path = ''
    settings.trackingnet_path = ''
    settings.uav_path = ''
    settings.vot_path = ''
    settings.otb_path = '/home/tangjiuqi097/data/OTB/data'
    settings.vot_path = '/home/tangjiuqi097/data/vot2019/vot_short/sequences'
    settings.vot_path = '/home/tangjiuqi097/data/vot2019/VOT2018ST/sequences'
    settings.vot_path = '/home/tangjiuqi097/data/vot2019/vot_long/sequences'
    settings.vot_path = '/home/tangjiuqi097/data/vot2019/vot_rgbd/sequences'

    return settings
Пример #24
0
def local_env_settings():
    settings = EnvSettings()

    # Set your local paths here.
    settings.got10k_path = '/data/zhenglinyu/benchmarks/got10k/'
    settings.lasot_path = ''
    settings.network_path = '/home/zhenglinyu2/DCFST/pytracking/networks/'  # Where tracking networks are stored.
    settings.nfs_path = '/data/zhenglinyu/benchmarks/nfs30/'
    settings.otb_path = '/data/zhenglinyu/benchmarks/otb100/'
    settings.results_path = '/home/zhenglinyu2/DCFST/pytracking/tracking_results/'  # Where to store tracking results
    settings.tpl_path = ''
    settings.trackingnet_path = '/data/zhenglinyu/benchmarks/trackingnet/'
    settings.uav_path = ''
    settings.vot18_path = '/data/zhenglinyu/benchmarks/vot18/'
    settings.vot19_path = '/data/zhenglinyu/benchmarks/vot19/'

    return settings
Пример #25
0
def local_env_settings():
    settings = EnvSettings()

    # Set your local paths here.

    settings.got10k_path = ''
    settings.lasot_path = ''
    settings.mobiface_path = ''
    settings.network_path = '/home/qian2/qian2_old/pytracking/pytracking/networks/'  # Where tracking networks are stored.
    settings.nfs_path = ''
    settings.otb_path = ''
    settings.ptb_path = '/home/qian2/qian2_old/Princeton_RGBD/ValidationSet'  #ValidationSet'
    settings.results_path = '/home/qian2/qian2_old/pytracking/pytracking/tracking_results/'  # Where to store tracking results
    settings.tpl_path = ''
    settings.trackingnet_path = ''
    settings.uav_path = ''

    settings.vot_path = '/home/qian2/qian2_old/VOT2018'
    settings.laval_6d_path = '/home/qian2/qian2_old/laval_6d/fulldata/'

    return settings
Пример #26
0
def local_env_settings():
    settings = EnvSettings()

    # Set your local paths here.

    settings.davis_dir = ''
    settings.got10k_path = '/run/media/hasan/B709-D3C0/Hasan/got10k'
    settings.got_packed_results_path = ''
    settings.got_reports_path = ''
    settings.lasot_path = '/run/media/hasan/B709-D3C0/Hasan/LaSOTBenchmark'
    # settings.network_path = '/run/media/mlcv/DATA/pytracking/pytracking/networks/'    # Where tracking networks are stored.
    settings.network_path = os.path.join(os.path.dirname(__file__), '..') + '/networks/'    # Where tracking networks are stored.
    settings.nfs_path = '/run/media/hasan/B709-D3C0/Hasan/toolkit/data/NfSDataset'
    settings.otb_path = '/run/media/hasan/B709-D3C0/Hasan/toolkit/data/OTB'
    settings.result_plot_path = '/run/media/hasan/B709-D3C0/Hasan/pytracking/pytracking/result_plots/'
    settings.results_path = '/run/media/hasan/B709-D3C0/Hasan/pytrackingRanking/pytracking/tracking_results/'    # Where to store tracking results
    settings.segmentation_path = '/run/media/hasan/B709-D3C0/Hasan/pytracking/pytracking/segmentation_results/'
    settings.tn_packed_results_path = ''
    settings.tpl_path = '/run/media/hasan/B709-D3C0/Hasan/toolkit/data/Temple-color-128'
    settings.trackingnet_path = '/run/media/hasan/B709-D3C0/Hasan/TrackingNet-devkit/TrackingNet'
    settings.uav_path = '/run/media/hasan/B709-D3C0/Hasan/toolkit/data/UAV123'
    settings.vot_path = '/run/media/hasan/B709-D3C0/Hasan/pytracking/pytracking/vot-workspace/sequences'
    settings.youtubevos_dir = ''

    return settings