Closed KevinZ0217 closed 1 year ago
Merging #1433 (263f8f2) into develop (2611e7d) will decrease coverage by
0.04%
. The diff coverage is29.41%
.
@@ Coverage Diff @@
## develop #1433 +/- ##
===========================================
- Coverage 73.03% 73.00% -0.04%
===========================================
Files 133 133
Lines 23768 23782 +14
===========================================
+ Hits 17360 17363 +3
- Misses 6408 6419 +11
Files Changed | Coverage Δ | |
---|---|---|
sleap/gui/learning/runners.py | 42.09% <ø> (ø) |
|
sleap/gui/learning/dialog.py | 66.91% <29.41%> (-0.82%) |
:arrow_down: |
... and 1 file with indirect coverage changes
:mega: We’re building smart automated test selection to slash your CI/CD build times. Learn more
Output from clipboard - 1
{'_pipeline': 'multi-animal top-down', '_ensure_channels': '', 'outputs.run_name_prefix': '', 'outputs.runs_folder': 'D:\\social-leap-estimates-animal-poses\\datasets\\drosophila-melanogaster-courtship\\drosophila-melanogaster-courtship\\models', 'outputs.tags': '', 'outputs.checkpointing.best_model': True, 'outputs.checkpointing.latest_model': False, 'outputs.checkpointing.final_model': False, 'outputs.tensorboard.write_logs': False, '_save_viz': True, '_predict_frames': 'suggested frames (20 total frames)', 'max_instances': None, 'model.heads.centroid.sigma': 2.5, 'model.heads.centered_instance.anchor_part': 'abdomen', 'model.heads.centered_instance.sigma': 2.5, 'model.heads.centroid.anchor_part': 'abdomen', 'model.heads.multi_class_topdown.confmaps.anchor_part': 'abdomen', 'data.instance_cropping.center_on_part': 'abdomen', 'data': {'labels': {'training_labels': 'D:/social-leap-estimates-animal-poses/datasets/drosophila-melanogaster-courtship/drosophila-melanogaster-courtship/courtship_labels.slp', 'validation_labels': None, 'validation_fraction': 0.1, 'test_labels': None, 'split_by_inds': False, 'training_inds': [36, 91, 90, 9, 40, 98, 27, 17, 76, 65, 66, 5, 41, 56, 49, 100, 85, 75, 82, 57, 53, 92, 62, 74, 23, 6, 58, 18, 25, 73, 37, 68, 0, 10, 44, 54, 70, 33, 94, 38, 47, 35, 64, 31, 34, 87, 97, 93, 14, 42, 29, 80, 50, 83, 4, 16, 51, 60, 45, 59, 84, 78, 26, 8, 12, 30, 46, 32, 7, 71, 2, 79, 88, 89, 1, 15, 63, 48, 28, 55, 22, 86, 11, 39, 69, 19, 95, 52, 99, 77, 81], 'validation_inds': [21, 20, 96, 24, 43, 3, 72, 61, 67, 13], 'test_inds': None, 'search_path_hints': ['', '', '', '', '', '', ''], 'skeletons': []}, 'preprocessing': {'ensure_rgb': False, 'ensure_grayscale': False, 'imagenet_mode': None, 'input_scaling': 1.0, 'pad_to_stride': 1, 'resize_and_pad_to_target': True, 'target_height': 1280, 'target_width': 1280}, 'instance_cropping': {'center_on_part': 'abdomen', 'crop_size': 144, 'crop_size_detection_padding': 16}}, 'model': {'backbone': {'leap': None, 'unet': {'stem_stride': None, 'max_stride': 16, 'output_stride': 4, 'filters': 24, 'filters_rate': 2.0, 'middle_block': True, 'up_interpolate': True, 'stacks': 1}, 'hourglass': None, 'resnet': None, 'pretrained_encoder': None}, 'heads': {'single_instance': None, 'centroid': None, 'centered_instance': {'anchor_part': 'abdomen', 'part_names': ['head', 'thorax', 'abdomen', 'wingL', 'wingR', 'forelegL4', 'forelegR4', 'midlegL4', 'midlegR4', 'hindlegL4', 'hindlegR4', 'eyeL', 'eyeR'], 'sigma': 2.5, 'output_stride': 4, 'loss_weight': 1.0, 'offset_refinement': False}, 'multi_instance': None, 'multi_class_bottomup': None, 'multi_class_topdown': None}, 'base_checkpoint': None}, '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, 'random_crop': False, 'random_crop_height': 256, 'random_crop_width': 256, 'random_flip': False, 'flip_horizontal': False}, 'online_shuffling': True, 'shuffle_buffer_size': 128, 'prefetch': True, 'batch_size': 4, 'batches_per_epoch': 200, 'min_batches_per_epoch': 200, 'val_batches_per_epoch': 10, 'min_val_batches_per_epoch': 10, 'epochs': 2, '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': None, 'loss_scale': 5.0}, 'early_stopping': {'stop_training_on_plateau': True, 'plateau_min_delta': 1e-08, 'plateau_patience': 10}}, 'outputs': {'save_outputs': True, 'run_name': None, 'run_name_prefix': '', 'run_name_suffix': None, 'runs_folder': 'D:\\social-leap-estimates-animal-poses\\datasets\\drosophila-melanogaster-courtship\\drosophila-melanogaster-courtship\\models', 'tags': [''], 'save_visualizations': True, 'delete_viz_images': True, 'zip_outputs': False, 'log_to_csv': True, 'checkpointing': {'initial_model': False, 'best_model': True, 'every_epoch': False, 'latest_model': False, 'final_model': False}, 'tensorboard': {'write_logs': False, 'loss_frequency': 'epoch', 'architecture_graph': False, 'profile_graph': False, 'visualizations': True}, 'zmq': {'subscribe_to_controller': True, 'controller_address': 'tcp://127.0.0.1:9000', 'controller_polling_timeout': 10, 'publish_updates': True, 'publish_address': 'tcp://127.0.0.1:9001'}}, 'name': '', 'description': '', 'sleap_version': '1.3.1', 'filename': 'D:\\social-leap-estimates-animal-poses\\datasets\\drosophila-melanogaster-courtship\\drosophila-melanogaster-courtship\\models\\230621_163457.centered_instance.n=101\\training_config.json'}
Description
Add a button for copying model config in JSON format to clipboard
Types of changes
Does this address any currently open issues?
1400
Outside contributors checklist
Thank you for contributing to SLEAP!
:heart: