Commit c51b895b authored by Jong, Stefan1 de's avatar Jong, Stefan1 de
Browse files

remove some files

parent 63340b2f
......@@ -42,7 +42,7 @@
"prefetch_buffer_size": 8,
"mask_disjoint_strategy": "score",
"tracker": "hungarian", "tracker_reid_comp": "euclidean", "detection_confidence_threshold_car": 0.8502786478822666, "reid_weight_car": 4.536564165074472, "mask_iou_weight_car": 0.0, "bbox_center_weight_car": 0.0, "bbox_iou_weight_car": 0.0, "association_threshold_car": 16.740861060073467, "keep_alive_car": 21, "reid_euclidean_offset_car": 19.007010601665048, "reid_euclidean_scale_car": 1.0476294797206436,
"tracker": "hungarian", "tracker_reid_comp": "euclidean", "detection_confidence_threshold_car": 0.8408337037537557, "reid_weight_car": 0.1393954029092081, "mask_iou_weight_car": 0.0, "bbox_center_weight_car": 0.0, "bbox_iou_weight_car": 0.0, "association_threshold_car": 0.0, "keep_alive_car": 10, "reid_euclidean_offset_car": 11.9112745493703, "reid_euclidean_scale_car": 1.0716654473812808,
"detection_confidence_threshold_pedestrian": 0.9368820089063415, "reid_weight_pedestrian": 1.0, "mask_iou_weight_pedestrian": 0.0, "bbox_center_weight_pedestrian": 0.0, "bbox_iou_weight_pedestrian": 0.0, "association_threshold_pedestrian": 0.47985540892434836, "keep_alive_pedestrian": 6, "reid_euclidean_offset_pedestrian": 9.447084376750222, "reid_euclidean_scale_pedestrian": 1.3437965549876354,
"network": {
......
{
# Engine settings
"model": "3dconv4_24",
"task": "train_no_val",
"dataset": "KITTI_segtrack",
"log_verbosity": 5,
"gpus": 1,
#"own_dataset_per_gpu": true,
"use_summaries": false,
"write_summaries": false,
"collect_run_metadata": false,
# MaskRCNN on/off
"add_masks": true,
# Pretrained model from tensorpack
"load_init": "/home/saidlab/Thesis_Stefan_de_Jong/rt-obj-tracking/algorithms/TrackR-CNN/models/conv3d_sep2/conv3d_sep2-00000005",
# Freeze applies to the whole model, not just our backend, but that's fine since only the backend uses batchnorm
"freeze_batchnorm": true,
"max_saves_to_keep": 1,
# Training settings
"batch_size": 4,
"learning_rates": "{1: 0.0000005}",
"optimizer": "adam",
"num_epochs": 6,
"max_saves_to_keep": 1,
# Dataset options
"KITTI_segtrack_data_dir": "/home/saidlab/Thesis_Stefan_de_Jong/rt-obj-tracking/algorithms/TrackR-CNN/data/APPLE_MOTS/train/",
"optical_flow_path": "/home/saidlab/Thesis_Stefan_de_Jong/rt-obj-tracking/Algorithms/TrackR-CNN/tuning/optical_flow/",
"prefer_gt_to_ignore": true,
"use_ioa_for_ignore": true,
"use_masks_for_ignore": true,
"resize_mode_train": "fixed_size",
"input_size_train": [972, 1296],
"resize_mode_val": "fixed_size",
"input_size_val": [972, 1296],
"augmentors_train": ["flip", "gamma"],
"num_parallel_calls": 6,
"prefetch_buffer_size": 8,
"mask_disjoint_strategy": "score",
"tracker": "hungarian", "tracker_reid_comp": "euclidean", "detection_confidence_threshold_car": 0.8408337037537557, "reid_weight_car": 0.1393954029092081, "mask_iou_weight_car": 0.0, "bbox_center_weight_car": 0.0, "bbox_iou_weight_car": 0.0, "association_threshold_car": 0.0, "keep_alive_car": 10, "reid_euclidean_offset_car": 11.9112745493703, "reid_euclidean_scale_car": 1.0716654473812808,
"detection_confidence_threshold_pedestrian": 0.9368820089063415, "reid_weight_pedestrian": 1.0, "mask_iou_weight_pedestrian": 0.0, "bbox_center_weight_pedestrian": 0.0, "bbox_iou_weight_pedestrian": 0.0, "association_threshold_pedestrian": 0.47985540892434836, "keep_alive_pedestrian": 6, "reid_euclidean_offset_pedestrian": 9.447084376750222, "reid_euclidean_scale_pedestrian": 1.3437965549876354,
"network": {
"resnetconv4": {"class": "ResNet101Conv4"},
"conv3d_1": {"class": "SepConv3DOverBatch", "activation": "relu", "n_features": 1024, "init_type": "identity", "from": ["resnetconv4"], "old_order": true},
"conv3d_2": {"class": "SepConv3DOverBatch", "activation": "relu", "n_features": 1024, "init_type": "identity", "from": ["conv3d_1"], "old_order": true},
"frcnn": {"class": "FasterRCNN", "fastrcnn_batch_per_img": 64, "reid_dimension": 128, "reid_loss_per_class": true,
"reid_loss_factor": 1.0, "reid_loss_variant": 1, "reid_measure": "euclidean", "from": ["conv3d_2"],
"class_agnostic_box_and_mask_heads": true}
}
}
{
# Engine settings
"model": "3dconv4_24",
"task": "train_no_val",
"dataset": "KITTI_segtrack",
"log_verbosity": 5,
"gpus": 1,
#"own_dataset_per_gpu": true,
"use_summaries": false,
"write_summaries": false,
"collect_run_metadata": false,
# MaskRCNN on/off
"add_masks": true,
# Pretrained model from tensorpack
"load_init": "/home/saidlab/Thesis_Stefan_de_Jong/rt-obj-tracking/algorithms/TrackR-CNN/models/conv3d_sep2/conv3d_sep2-00000005",
# Freeze applies to the whole model, not just our backend, but that's fine since only the backend uses batchnorm
"freeze_batchnorm": true,
"max_saves_to_keep": 1,
# Training settings
"batch_size": 4,
"learning_rates": "{1: 0.0000005}",
"optimizer": "adam",
"num_epochs": 6,
"max_saves_to_keep": 1,
# Dataset options
"KITTI_segtrack_data_dir": "/home/saidlab/Thesis_Stefan_de_Jong/rt-obj-tracking/algorithms/TrackR-CNN/data/APPLE_MOTS/train/",
"optical_flow_path": "/home/saidlab/Thesis_Stefan_de_Jong/rt-obj-tracking/Algorithms/TrackR-CNN/tuning/optical_flow/",
"prefer_gt_to_ignore": true,
"use_ioa_for_ignore": true,
"use_masks_for_ignore": true,
"resize_mode_train": "fixed_size",
"input_size_train": [972, 1296],
"resize_mode_val": "fixed_size",
"input_size_val": [972, 1296],
"augmentors_train": ["flip", "gamma"],
"num_parallel_calls": 6,
"prefetch_buffer_size": 8,
"mask_disjoint_strategy": "score",
"tracker": "hungarian", "tracker_reid_comp": "euclidean", "detection_confidence_threshold_car": 0.8318197866460156, "reid_weight_car": 0.0, "mask_iou_weight_car": 0.0, "bbox_center_weight_car": 1.07880950013443, "bbox_iou_weight_car": 0.0, "association_threshold_car": 0.552206360214576, "keep_alive_car": 0, "reid_euclidean_offset_car": 5.0, "reid_euclidean_scale_car": 1.0,
"box_offset": 60.02957927306263, "box_scale": 0.11224858117351562,
"detection_confidence_threshold_pedestrian": 0.9368820089063415, "reid_weight_pedestrian": 0.0, "mask_iou_weight_pedestrian": 0.0, "bbox_center_weight_pedestrian": 1.07880950013443, "bbox_iou_weight_pedestrian": 0.0, "association_threshold_pedestrian": 0.47985540892434836, "keep_alive_pedestrian": 0, "reid_euclidean_offset_pedestrian": 5.0, "reid_euclidean_scale_pedestrian": 1.0,"box_offset": 60.02957927306263, "box_scale": 0.11224858117351562,
"network": {
"resnetconv4": {"class": "ResNet101Conv4"},
"conv3d_1": {"class": "SepConv3DOverBatch", "activation": "relu", "n_features": 1024, "init_type": "identity", "from": ["resnetconv4"], "old_order": true},
"conv3d_2": {"class": "SepConv3DOverBatch", "activation": "relu", "n_features": 1024, "init_type": "identity", "from": ["conv3d_1"], "old_order": true},
"frcnn": {"class": "FasterRCNN", "fastrcnn_batch_per_img": 64, "reid_dimension": 128, "reid_loss_per_class": true,
"reid_loss_factor": 1.0, "reid_loss_variant": 1, "reid_measure": "euclidean", "from": ["conv3d_2"],
"class_agnostic_box_and_mask_heads": true}
}
}
{
# Engine settings
"model": "3dconv4_24_cyborg",
"task": "train_no_val",
"dataset": "KITTI_segtrack",
"log_verbosity": 5,
"gpus": 1,
#"own_dataset_per_gpu": true,
"use_summaries": false,
"write_summaries": false,
"collect_run_metadata": false,
# MaskRCNN on/off
"add_masks": true,
# Pretrained model from tensorpack
"load_init": "/home/saidlab/Thesis_Stefan_de_Jong/rt-obj-tracking/algorithms/TrackR-CNN/models/conv3d_sep2/conv3d_sep2-00000005",
# Freeze applies to the whole model, not just our backend, but that's fine since only the backend uses batchnorm
"freeze_batchnorm": true,
"max_saves_to_keep": 1,
# Training settings
"batch_size": 4,
"learning_rates": "{1: 0.0000005}",
"optimizer": "adam",
"num_epochs": 6,
"max_saves_to_keep": 1,
# Dataset options
"KITTI_segtrack_data_dir": "/home/saidlab/Thesis_Stefan_de_Jong/rt-obj-tracking/algorithms/TrackR-CNN/data/APPLE_MOTS/train/",
"optical_flow_path": "/home/saidlab/Thesis_Stefan_de_Jong/rt-obj-tracking/Algorithms/TrackR-CNN/tuning/optical_flow/",
"prefer_gt_to_ignore": true,
"use_ioa_for_ignore": true,
"use_masks_for_ignore": true,
"resize_mode_train": "fixed_size",
"input_size_train": [972, 1296],
"resize_mode_val": "fixed_size",
"input_size_val": [972, 1296],
"augmentors_train": ["flip", "gamma"],
"num_parallel_calls": 6,
"prefetch_buffer_size": 8,
"mask_disjoint_strategy": "score",
"tracker": "hungarian", "tracker_reid_comp": "euclidean", "detection_confidence_threshold_car": 0.8502786478822666, "reid_weight_car": 4.536564165074472, "mask_iou_weight_car": 0.0, "bbox_center_weight_car": 0.0, "bbox_iou_weight_car": 0.0, "association_threshold_car": 16.740861060073467, "keep_alive_car": 21, "reid_euclidean_offset_car": 19.007010601665048, "reid_euclidean_scale_car": 1.0476294797206436,
"detection_confidence_threshold_pedestrian": 0.9368820089063415, "reid_weight_pedestrian": 1.0, "mask_iou_weight_pedestrian": 0.0, "bbox_center_weight_pedestrian": 0.0, "bbox_iou_weight_pedestrian": 0.0, "association_threshold_pedestrian": 0.47985540892434836, "keep_alive_pedestrian": 6, "reid_euclidean_offset_pedestrian": 9.447084376750222, "reid_euclidean_scale_pedestrian": 1.3437965549876354,
"network": {
"resnetconv4": {"class": "ResNet101Conv4"},
"conv3d_1": {"class": "SepConv3DOverBatch", "activation": "relu", "n_features": 1024, "init_type": "identity", "from": ["resnetconv4"], "old_order": true},
"conv3d_2": {"class": "SepConv3DOverBatch", "activation": "relu", "n_features": 1024, "init_type": "identity", "from": ["conv3d_1"], "old_order": true},
"frcnn": {"class": "FasterRCNN", "fastrcnn_batch_per_img": 64, "reid_dimension": 128, "reid_loss_per_class": true,
"reid_loss_factor": 1.0, "reid_loss_variant": 1, "reid_measure": "euclidean", "from": ["conv3d_2"],
"class_agnostic_box_and_mask_heads": true}
}
}
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