Description
Hello,
I'm trying to run analysis on my models, but the centroid model does not contain metrics files.
I'm running version 1.1.5 and using Colab for training and predicting. My centered_instance file does contain the metrics, and when running previous versions I saw them in centroid as well.
`models/centroid2
├── best_model.h5
├── initial_config.json
├── labels_gt.train.slp
├── labels_gt.val.slp
├── train
│ ├── events.out.tfevents.1634938180.91c71cefa6b6.1995.3493.v2
│ └── events.out.tfevents.1634938185.91c71cefa6b6.1995.7280.v2
├── training_config.json
├── training_log.csv
└── validation
├── events.out.tfevents.1634938180.91c71cefa6b6.1995.3501.v2
└── events.out.tfevents.1634938251.91c71cefa6b6.1995.15839.v2
2 directories, 10 files`
{ "data": { "labels": { "training_labels": null, "validation_labels": null, "validation_fraction": 0.1, "test_labels": null, "search_path_hints": [], "skeletons": [] }, "preprocessing": { "ensure_rgb": false, "ensure_grayscale": false, "imagenet_mode": null, "input_scaling": 0.5, "pad_to_stride": null }, "instance_cropping": { "center_on_part": null, "crop_size": 160, "crop_size_detection_padding": 16 } }, "model": { "backbone": { "leap": null, "unet": { "stem_stride": null, "max_stride": 16, "output_stride": 2, "filters": 16, "filters_rate": 2.0, "middle_block": true, "up_interpolate": true, "stacks": 1 }, "hourglass": null, "resnet": null }, "heads": { "single_instance": null, "centroid": { "anchor_part": "", "sigma": 5.0, "output_stride": 2 }, "centered_instance": null, "multi_instance": null } }, "optimization": { "preload_data": true, "augmentation_config": { "rotate": true, "rotation_min_angle": -180.0, "rotation_max_angle": 180.0, "translate": false, "translate_min": -5, "translate_max": 5, "scale": false, "scale_min": 0.9, "scale_max": 1.1, "uniform_noise": false, "uniform_noise_min_val": 0.0, "uniform_noise_max_val": 10.0, "gaussian_noise": false, "gaussian_noise_mean": 5.0, "gaussian_noise_stddev": 1.0, "contrast": false, "contrast_min_gamma": 0.5, "contrast_max_gamma": 2.0, "brightness": false, "brightness_min_val": 0.0, "brightness_max_val": 10.0 }, "online_shuffling": true, "shuffle_buffer_size": 128, "prefetch": true, "batch_size": 4, "batches_per_epoch": null, "min_batches_per_epoch": 200, "val_batches_per_epoch": null, "min_val_batches_per_epoch": 10, "epochs": 200, "optimizer": "adam", "initial_learning_rate": 0.0001, "learning_rate_schedule": { "reduce_on_plateau": true, "reduction_factor": 0.5, "plateau_min_delta": 1e-06, "plateau_patience": 5, "plateau_cooldown": 3, "min_learning_rate": 1e-08 }, "hard_keypoint_mining": { "online_mining": false, "hard_to_easy_ratio": 2.0, "min_hard_keypoints": 2, "max_hard_keypoints": null, "loss_scale": 5.0 }, "early_stopping": { "stop_training_on_plateau": true, "plateau_min_delta": 1e-06, "plateau_patience": 10 } }, "outputs": { "save_outputs": true, "run_name": "211011_144622", "run_name_prefix": "", "run_name_suffix": "", "runs_folder": "", "tags": [ "" ], "save_visualizations": true, "log_to_csv": true, "checkpointing": { "initial_model": false, "best_model": true, "every_epoch": false, "latest_model": false, "final_model": false }, "tensorboard": { "write_logs": true, "loss_frequency": "epoch", "architecture_graph": false, "profile_graph": false, "visualizations": true }, "zmq": { "subscribe_to_controller": false, "controller_address": "tcp://127.0.0.1:9000", "controller_polling_timeout": 10, "publish_updates": false, "publish_address": "tcp://127.0.0.1:9001" } } }