diff --git a/tutorials/1-getting-started/DTGS131_tracking_multiple_particles_unet.ipynb b/tutorials/1-getting-started/DTGS131_tracking_multiple_particles_unet.ipynb index 848c42e7f..d316e38cc 100644 --- a/tutorials/1-getting-started/DTGS131_tracking_multiple_particles_unet.ipynb +++ b/tutorials/1-getting-started/DTGS131_tracking_multiple_particles_unet.ipynb @@ -556,20 +556,6 @@ "metadata": {}, "output_type": "display_data" }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "79776eac1b59498aa1027f33f9b58569", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Output()" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, { "data": { "text/html": [ @@ -849,89 +835,6 @@ "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.13.14" - }, - "widgets": { - "application/vnd.jupyter.widget-state+json": { - "b2305846a3a744dfa76084a9f002017a": { - "model_module": "@jupyter-widgets/base", - "model_module_version": "1.2.0", - "model_name": "LayoutModel", - "state": { - "_model_module": "@jupyter-widgets/base", - "_model_module_version": "1.2.0", - "_model_name": "LayoutModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "1.2.0", - "_view_name": "LayoutView", - "align_content": null, - "align_items": null, - "align_self": null, - "border": null, - "bottom": null, - "display": null, - "flex": null, - "flex_flow": null, - "grid_area": null, - "grid_auto_columns": null, - "grid_auto_flow": null, - "grid_auto_rows": null, - "grid_column": null, - "grid_gap": null, - "grid_row": null, - "grid_template_areas": null, - "grid_template_columns": null, - "grid_template_rows": null, - "height": null, - "justify_content": null, - "justify_items": null, - "left": null, - "margin": null, - "max_height": null, - "max_width": null, - "min_height": null, - "min_width": null, - "object_fit": null, - "object_position": null, - "order": null, - "overflow": null, - "overflow_x": null, - "overflow_y": null, - "padding": null, - "right": null, - "top": null, - "visibility": null, - "width": null - } - }, - "e57b7cf0efeb44dd9557386fe55e0c5d": { - "model_module": "@jupyter-widgets/output", - "model_module_version": "1.0.0", - "model_name": "OutputModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/output", - "_model_module_version": "1.0.0", - "_model_name": "OutputModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/output", - "_view_module_version": "1.0.0", - "_view_name": "OutputView", - "layout": "IPY_MODEL_b2305846a3a744dfa76084a9f002017a", - "msg_id": "", - "outputs": [ - { - "data": { - "text/html": "
Epoch 99/99 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 25/25 0:00:03 • 0:00:00 6.79it/s v_num: 0 train_loss_step: 0.0172   \n                                                                                trainBinaryF1Score_step: 0.575     \n                                                                                val_loss_step: 0.0205              \n                                                                                valBinaryF1Score_step: 0.6         \n                                                                                val_loss_epoch: 0.0173             \n                                                                                valBinaryF1Score_epoch: 0.601      \n                                                                                train_loss_epoch: 0.0199           \n                                                                                trainBinaryF1Score_epoch: 0.594    \n
\n", - "text/plain": "Epoch 99/99 \u001b[38;2;98;6;224m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[37m25/25\u001b[0m \u001b[38;5;245m0:00:03 • 0:00:00\u001b[0m \u001b[38;5;249m6.79it/s\u001b[0m \u001b[37mv_num: 0 train_loss_step: 0.0172 \u001b[0m\n \u001b[37mtrainBinaryF1Score_step: 0.575 \u001b[0m\n \u001b[37mval_loss_step: 0.0205 \u001b[0m\n \u001b[37mvalBinaryF1Score_step: 0.6 \u001b[0m\n \u001b[37mval_loss_epoch: 0.0173 \u001b[0m\n \u001b[37mvalBinaryF1Score_epoch: 0.601 \u001b[0m\n \u001b[37mtrain_loss_epoch: 0.0199 \u001b[0m\n \u001b[37mtrainBinaryF1Score_epoch: 0.594 \u001b[0m\n" - }, - "metadata": {}, - "output_type": "display_data" - } - ] - } - } - } } }, "nbformat": 4,