git-annex in sfmig@Sofias-MacBook-Pro-SWC.local

04.09.2023-04-Right_RE_test_3_frames/04.09.2023-04-Right_RE_test_3_frames_ground_truth.csv

@@ -1,259 +0,0 @@
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-frame_00000002.png,8888,"{""clip"":123}",1,0,"{""name"":""rect"",""x"":1966.9516821204893,""y"":1656.2114138070456,""width"":102,""height"":62}","{""track"":""5"", ""confidence"":""0.9166163802146912""}"
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04.09.2023-04-Right_RE_test_3_frames/tracking_metrics_output.csv

@@ -1,4 +0,0 @@
-Frame Number,Total Ground Truth,True Positives,Missed Detections,False Positives,Number of Switches,MOTA
-1,86,77,9,2,0,0.872093023255814
-2,86,80,6,2,0,0.9069767441860466
-3,86,81,5,2,0,0.9186046511627907

ml-runs/317777717624044570/40b1688a76d94bd08175cb380d0a6e0e/artifacts/slurm_array.5313275-0.gpu-sr670-22.err

@@ -1,268 +0,0 @@
-  Running command git clone --filter=blob:none --quiet https://github.com/SainsburyWellcomeCentre/crabs-exploration.git /tmp/pip-req-build-bazt9owa
-GPU available: True (cuda), used: True
-TPU available: False, using: 0 TPU cores
-HPU available: False, using: 0 HPUs
-`Trainer(limit_train_batches=1.0)` was configured so 100% of the batches per epoch will be used..
-LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [MIG-GPU-242780f9-d85c-a72f-1605-da1bd3f1cb87/4/0]
-
-  | Name  | Type       | Params | Mode 
----------------------------------------------
-0 | model | FasterRCNN | 43.3 M | train
----------------------------------------------
-43.0 M    Trainable params
-225 K     Non-trainable params
-43.3 M    Total params
-173.025   Total estimated model params size (MB)
-SLURM auto-requeueing enabled. Setting signal handlers.
-INFO:root:Average Precision (val): 0.3862,Average Recall (val): 0.3210
-INFO:root:Average Precision (val): 0.8594,Average Recall (val): 0.5508
-INFO:root:Average Precision (val): 0.9418,Average Recall (val): 0.5881
-INFO:root:Average Precision (val): 0.9596,Average Recall (val): 0.6205
-INFO:root:Average Precision (val): 0.9660,Average Recall (val): 0.6354
-INFO:root:Average Precision (val): 0.9677,Average Recall (val): 0.6408
-INFO:root:Average Precision (val): 0.9662,Average Recall (val): 0.6762
-INFO:root:Average Precision (val): 0.9750,Average Recall (val): 0.6951
-INFO:root:Average Precision (val): 0.9724,Average Recall (val): 0.6841
-INFO:root:Average Precision (val): 0.9715,Average Recall (val): 0.7111
-INFO:root:Average Precision (val): 0.9675,Average Recall (val): 0.7425
-INFO:root:Average Precision (val): 0.9723,Average Recall (val): 0.7383
-INFO:root:Average Precision (val): 0.9761,Average Recall (val): 0.7173
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-INFO:root:Average Precision (val): 0.9682,Average Recall (val): 0.7459
-INFO:root:Average Precision (val): 0.9644,Average Recall (val): 0.7772
-INFO:root:Average Precision (val): 0.9653,Average Recall (val): 0.7661
-INFO:root:Average Precision (val): 0.9690,Average Recall (val): 0.7675
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-INFO:root:Average Precision (val): 0.9690,Average Recall (val): 0.7898
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-INFO:root:Average Precision (val): 0.9681,Average Recall (val): 0.8182
-INFO:root:Average Precision (val): 0.9590,Average Recall (val): 0.8123
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-INFO:root:Average Precision (val): 0.9663,Average Recall (val): 0.7917
-INFO:root:Average Precision (val): 0.9522,Average Recall (val): 0.8025
-INFO:root:Average Precision (val): 0.9642,Average Recall (val): 0.7837
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-INFO:root:Average Precision (val): 0.9570,Average Recall (val): 0.8000
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-INFO:root:Average Precision (val): 0.9541,Average Recall (val): 0.8232
-INFO:root:Average Precision (val): 0.9570,Average Recall (val): 0.8436
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-INFO:root:Average Precision (val): 0.9712,Average Recall (val): 0.8447
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-INFO:root:Average Precision (val): 0.9661,Average Recall (val): 0.8441
-INFO:root:Average Precision (val): 0.9680,Average Recall (val): 0.8525
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-INFO:root:Average Precision (val): 0.9697,Average Recall (val): 0.8537
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-INFO:root:Average Precision (val): 0.9764,Average Recall (val): 0.8356
-INFO:root:Average Precision (val): 0.9595,Average Recall (val): 0.8427
-INFO:root:Average Precision (val): 0.9698,Average Recall (val): 0.8454
-INFO:root:Average Precision (val): 0.9547,Average Recall (val): 0.8345
-INFO:root:Average Precision (val): 0.9795,Average Recall (val): 0.8230
-INFO:root:Average Precision (val): 0.9787,Average Recall (val): 0.8458
-INFO:root:Average Precision (val): 0.9655,Average Recall (val): 0.8477
-INFO:root:Average Precision (val): 0.9803,Average Recall (val): 0.8426
-INFO:root:Average Precision (val): 0.9294,Average Recall (val): 0.8327
-INFO:root:Average Precision (val): 0.9728,Average Recall (val): 0.8316
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-INFO:root:Average Precision (val): 0.9503,Average Recall (val): 0.8372
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-INFO:root:Average Precision (val): 0.9741,Average Recall (val): 0.8325
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-INFO:root:Average Precision (val): 0.9808,Average Recall (val): 0.8465
-INFO:root:Average Precision (val): 0.9788,Average Recall (val): 0.8320
-INFO:root:Average Precision (val): 0.9704,Average Recall (val): 0.8480
-INFO:root:Average Precision (val): 0.9731,Average Recall (val): 0.8404
-INFO:root:Average Precision (val): 0.9689,Average Recall (val): 0.8454
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-INFO:root:Average Precision (val): 0.9821,Average Recall (val): 0.8340
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-INFO:root:Average Precision (val): 0.9774,Average Recall (val): 0.8498
-INFO:root:Average Precision (val): 0.9693,Average Recall (val): 0.8422
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-INFO:root:Average Precision (val): 0.9807,Average Recall (val): 0.8474
-INFO:root:Average Precision (val): 0.9828,Average Recall (val): 0.8493
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-INFO:root:Average Precision (val): 0.9841,Average Recall (val): 0.8336
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-INFO:root:Average Precision (val): 0.9734,Average Recall (val): 0.8336
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-INFO:root:Average Precision (val): 0.9742,Average Recall (val): 0.8471
-INFO:root:Average Precision (val): 0.9726,Average Recall (val): 0.8374
-INFO:root:Average Precision (val): 0.9798,Average Recall (val): 0.8456
-INFO:root:Average Precision (val): 0.9779,Average Recall (val): 0.8248
-INFO:root:Average Precision (val): 0.9779,Average Recall (val): 0.8428
-`Trainer.fit` stopped: `max_epochs=250` reached.

ml-runs/317777717624044570/40b1688a76d94bd08175cb380d0a6e0e/artifacts/test_val_transform.txt

@@ -1,4 +0,0 @@
-Compose(
-      ToImage()
-      ToDtype(scale=True)
-)

ml-runs/317777717624044570/40b1688a76d94bd08175cb380d0a6e0e/artifacts/train_transform.txt

@@ -1,13 +0,0 @@
-Compose(
-      ToImage()
-      GaussianBlur(kernel_size=[5, 9], sigma=[0.1, 5.0])
-      ColorJitter(brightness=(0.5, 1.5), hue=(-0.3, 0.3))
-      RandomHorizontalFlip(p=0.5)
-      RandomRotation(degrees=[-10.0, 10.0], interpolation=InterpolationMode.NEAREST, expand=False, fill=0)
-      RandomAdjustSharpness(p=0.5, sharpness_factor=0.5)
-      RandomAutocontrast(p=0.5)
-      RandomEqualize(p=0.5)
-      ClampBoundingBoxes()
-      SanitizeBoundingBoxes(min_size=1.0)
-      ToDtype(scale=True)
-)

ml-runs/317777717624044570/40b1688a76d94bd08175cb380d0a6e0e/checkpoints/last.ckpt

@@ -1 +0,0 @@
-/annex/objects/MD5-s173409994--45a9fdeeb81565cef021614375ab4f92

ml-runs/317777717624044570/40b1688a76d94bd08175cb380d0a6e0e/meta.yaml

@@ -1,15 +0,0 @@
-artifact_uri: file:///home/sminano/swc/project_crabs/ml-runs/317777717624044570/40b1688a76d94bd08175cb380d0a6e0e/artifacts
-end_time: 1719710783505
-entry_point_name: ''
-experiment_id: '317777717624044570'
-lifecycle_stage: active
-run_id: 40b1688a76d94bd08175cb380d0a6e0e
-run_name: run_slurm_5313275_0
-run_uuid: 40b1688a76d94bd08175cb380d0a6e0e
-source_name: ''
-source_type: 4
-source_version: ''
-start_time: 1719590377088
-status: 3
-tags: []
-user_id: sminano

ml-runs/317777717624044570/40b1688a76d94bd08175cb380d0a6e0e/metrics/train_loss

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-gpu

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ml-runs/317777717624044570/40b1688a76d94bd08175cb380d0a6e0e/params/cli_args/config_file

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ml-runs/317777717624044570/40b1688a76d94bd08175cb380d0a6e0e/params/cli_args/dataset_dirs

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ml-runs/317777717624044570/40b1688a76d94bd08175cb380d0a6e0e/params/cli_args/experiment_name

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ml-runs/317777717624044570/40b1688a76d94bd08175cb380d0a6e0e/params/cli_args/fast_dev_run

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ml-runs/317777717624044570/40b1688a76d94bd08175cb380d0a6e0e/params/cli_args/log_data_augmentation

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ml-runs/317777717624044570/40b1688a76d94bd08175cb380d0a6e0e/params/cli_args/mlflow_folder

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-/ceph/zoo/users/sminano/ml-runs-all/ml-runs

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ml-runs/317777717624044570/40b1688a76d94bd08175cb380d0a6e0e/params/config/color_jitter/brightness

@@ -1 +0,0 @@
-0.5

ml-runs/317777717624044570/40b1688a76d94bd08175cb380d0a6e0e/params/config/color_jitter/hue

@@ -1 +0,0 @@
-0.3

ml-runs/317777717624044570/40b1688a76d94bd08175cb380d0a6e0e/params/config/gaussian_blur/kernel_size

@@ -1 +0,0 @@
-[5, 9]

ml-runs/317777717624044570/40b1688a76d94bd08175cb380d0a6e0e/params/config/gaussian_blur/sigma

@@ -1 +0,0 @@
-[0.1, 5.0]

ml-runs/317777717624044570/40b1688a76d94bd08175cb380d0a6e0e/params/config/iou_threshold

@@ -1 +0,0 @@
-0.1

ml-runs/317777717624044570/40b1688a76d94bd08175cb380d0a6e0e/params/config/learning_rate

@@ -1 +0,0 @@
-5e-05

ml-runs/317777717624044570/40b1688a76d94bd08175cb380d0a6e0e/params/config/n_epochs

@@ -1 +0,0 @@
-250

ml-runs/317777717624044570/40b1688a76d94bd08175cb380d0a6e0e/params/config/num_classes

@@ -1 +0,0 @@
-2

ml-runs/317777717624044570/40b1688a76d94bd08175cb380d0a6e0e/params/config/num_workers

@@ -1 +0,0 @@
-4

ml-runs/317777717624044570/40b1688a76d94bd08175cb380d0a6e0e/params/config/random_adjust_sharpness/p

@@ -1 +0,0 @@
-0.5

ml-runs/317777717624044570/40b1688a76d94bd08175cb380d0a6e0e/params/config/random_adjust_sharpness/sharpness_factor

@@ -1 +0,0 @@
-0.5

ml-runs/317777717624044570/40b1688a76d94bd08175cb380d0a6e0e/params/config/random_autocontrast/p

@@ -1 +0,0 @@
-0.5

ml-runs/317777717624044570/40b1688a76d94bd08175cb380d0a6e0e/params/config/random_equalize/p

@@ -1 +0,0 @@
-0.5

ml-runs/317777717624044570/40b1688a76d94bd08175cb380d0a6e0e/params/config/random_horizontal_flip/p

@@ -1 +0,0 @@
-0.5

ml-runs/317777717624044570/40b1688a76d94bd08175cb380d0a6e0e/params/config/random_rotation/degrees

@@ -1 +0,0 @@
-[-10.0, 10.0]

ml-runs/317777717624044570/40b1688a76d94bd08175cb380d0a6e0e/params/config/train_fraction

@@ -1 +0,0 @@
-0.8

ml-runs/317777717624044570/40b1688a76d94bd08175cb380d0a6e0e/params/config/val_over_test_fraction

@@ -1 +0,0 @@
-0.5

ml-runs/317777717624044570/40b1688a76d94bd08175cb380d0a6e0e/params/config/wdecay

@@ -1 +0,0 @@
-5e-05

ml-runs/317777717624044570/40b1688a76d94bd08175cb380d0a6e0e/params/optuna_log

@@ -1 +0,0 @@
-False

ml-runs/317777717624044570/40b1688a76d94bd08175cb380d0a6e0e/params/path_to_checkpoints

@@ -1 +0,0 @@
-file:/home/sminano/swc/project_crabs/ml-runs/317777717624044570/40b1688a76d94bd08175cb380d0a6e0e/checkpoints

ml-runs/317777717624044570/40b1688a76d94bd08175cb380d0a6e0e/params/slurm_array_task_id

@@ -1 +0,0 @@
-0

ml-runs/317777717624044570/40b1688a76d94bd08175cb380d0a6e0e/params/slurm_job_id

@@ -1 +0,0 @@
-5313275

ml-runs/317777717624044570/40b1688a76d94bd08175cb380d0a6e0e/tags/mlflow.note.content

@@ -1 +0,0 @@
-all data augmentation, after refactor

ml-runs/317777717624044570/40b1688a76d94bd08175cb380d0a6e0e/tags/mlflow.runName

@@ -1 +0,0 @@
-run_slurm_5313275_0

ml-runs/317777717624044570/40b1688a76d94bd08175cb380d0a6e0e/tags/mlflow.source.name

@@ -1 +0,0 @@
-/tmp/crabs-dev-42-5313275/bin/train-detector

ml-runs/317777717624044570/40b1688a76d94bd08175cb380d0a6e0e/tags/mlflow.source.type

@@ -1 +0,0 @@
-LOCAL

ml-runs/317777717624044570/40b1688a76d94bd08175cb380d0a6e0e/tags/mlflow.user

@@ -1 +0,0 @@
-sminano

ml-runs/317777717624044570/meta.yaml

@@ -1,6 +0,0 @@
-artifact_location: file:///home/sminano/swc/project_crabs/ml-runs/317777717624044570
-creation_time: 1719590313340
-experiment_id: '317777717624044570'
-last_update_time: 1719590313340
-lifecycle_stage: active
-name: Sept2023_data_augm