<jupyter_start><jupyter_text>Train wally model<jupyter_code>!python gluing.py train --dataset=../../datasets/gluing --weights=mask_rcnn_coco.h5<jupyter_output>Weights:  mask_rcnn_coco.h5
Dataset:  ../../datasets/gluing
Logs:  C:\Users\mspre\Desktop\Data Science\4.Semester\Masterthesis\Mask_RCNN-master\logs

Configurations:
BACKBONE                       resnet101
BACKBONE_STRIDES               [4, 8, 16, 32, 64]
BATCH_SIZE                     2
BBOX_STD_DEV                   [0.1 0.1 0.2 0.2]
COMPUTE_BACKBONE_SHAPE         None
DETECTION_MAX_INSTANCES        100
DETECTION_MIN_CONFIDENCE       0.9
DETECTION_NMS_THRESHOLD        0.3
FPN_CLASSIF_FC_LAYERS_SIZE     1024
GPU_COUNT                      1
GRADIENT_CLIP_NORM             5.0
IMAGES_PER_GPU                 2
IMAGE_CHANNEL_COUNT            3
IMAGE_MAX_DIM                  1024
IMAGE_META_SIZE                14
IMAGE_MIN_DIM                  800
IMAGE_MIN_SCALE                0
IMAGE_RESIZE_MODE              square
IMAGE_SHAPE                    [1024 1024    3]
LEARNING_MOMENTUM              0.9
LEARNING_RATE                  0.001
LOSS_WEIGHTS                   {'rpn_class_loss': 1.0,[...]
{'fraction_non_alphanumeric': 0.0661512027491409, 'fraction_numerical': 0.05670103092783505, 'mean_word_length': 1.7156177156177157, 'pattern_counts': {'":': 0, '<': 4, '<?xml version=': 0, '>': 4, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '1', 'dir': 'jupyter-structured-clean-dedup', 'id': '26854', 'license': 'MIT', 'n_tokens_mistral': 441, 'n_tokens_neox': 392, 'n_words': 68, 'path': 'samples/kleben/kleben_train.ipynb', 'repo_name': 'msprenger94/Object_Detection', 'size': '1164'}