tfm.core.exp_factory.get_exp_config
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Looks up the ExperimentConfig
according to the exp_name
.
tfm.core.exp_factory.get_exp_config(
exp_name: str
) -> tfm.core.base_trainer.ExperimentConfig
Allowed values for exp_name
:
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Last updated 2024-02-02 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-02-02 UTC."],[],[],null,["# tfm.core.exp_factory.get_exp_config\n\n\u003cbr /\u003e\n\n|-----------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/models/blob/v2.15.0/official/core/exp_factory.py#L29-L32) |\n\nLooks up the `ExperimentConfig` according to the `exp_name`. \n\n tfm.core.exp_factory.get_exp_config(\n exp_name: str\n ) -\u003e ../../../tfm/core/base_trainer/ExperimentConfig\n\nAllowed values for `exp_name`:\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| `exp_name` | Description |\n|-----------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------|\n| [`cascadercnn_spinenet_coco`](../../../tfm/vision/configs/maskrcnn/cascadercnn_spinenet_coco) | COCO object detection with Cascade RCNN-RS with SpineNet backbone. |\n| [`deit_imagenet_pretrain`](../../../tfm/vision/configs/image_classification/image_classification_imagenet_deit_pretrain) | Image classification on imagenet with vision transformer. |\n| [`fasterrcnn_resnetfpn_coco`](../../../tfm/vision/configs/maskrcnn/fasterrcnn_resnetfpn_coco) | COCO object detection with Faster R-CNN. |\n| [`image_classification`](../../../tfm/vision/configs/image_classification/image_classification) | Image classification general. |\n| [`maskrcnn_mobilenet_coco`](../../../tfm/vision/configs/maskrcnn/maskrcnn_mobilenet_coco) | COCO object detection with Mask R-CNN with MobileNet backbone. |\n| [`maskrcnn_resnetfpn_coco`](../../../tfm/vision/configs/maskrcnn/maskrcnn_resnetfpn_coco) | COCO object detection with Mask R-CNN. |\n| [`maskrcnn_spinenet_coco`](../../../tfm/vision/configs/maskrcnn/maskrcnn_spinenet_coco) | COCO object detection with Mask R-CNN with SpineNet backbone. |\n| [`mnv2_deeplabv3_cityscapes`](../../../tfm/vision/configs/semantic_segmentation/mnv2_deeplabv3_cityscapes) | Image segmentation on cityscapes with mobilenetv2 deeplabv3. |\n| [`mnv2_deeplabv3_pascal`](../../../tfm/vision/configs/semantic_segmentation/mnv2_deeplabv3_pascal) | Image segmentation on pascal with mobilenetv2 deeplabv3. |\n| [`mnv2_deeplabv3plus_cityscapes`](../../../tfm/vision/configs/semantic_segmentation/mnv2_deeplabv3plus_cityscapes) | Image segmentation on cityscapes with mobilenetv2 deeplabv3plus. |\n| [`mobilenet_imagenet`](../../../tfm/vision/configs/image_classification/image_classification_imagenet_mobilenet) | Image classification on imagenet with mobilenet. |\n| [`resnet_imagenet`](../../../tfm/vision/configs/image_classification/image_classification_imagenet) | Image classification on imagenet with resnet. |\n| [`resnet_rs_imagenet`](../../../tfm/vision/configs/image_classification/image_classification_imagenet_resnetrs) | Image classification on imagenet with resnet-rs. |\n| [`retinanet`](../../../tfm/vision/configs/retinanet/retinanet) | RetinaNet general config. |\n| [`retinanet_mobile_coco`](../../../tfm/vision/configs/retinanet/retinanet_spinenet_mobile_coco) | COCO object detection with mobile RetinaNet. |\n| [`retinanet_resnetfpn_coco`](../../../tfm/vision/configs/retinanet/retinanet_resnetfpn_coco) | COCO object detection with RetinaNet. |\n| [`retinanet_spinenet_coco`](../../../tfm/vision/configs/retinanet/retinanet_spinenet_coco) | COCO object detection with RetinaNet using SpineNet backbone. |\n| [`revnet_imagenet`](../../../tfm/vision/configs/image_classification/image_classification_imagenet_revnet) | Returns a revnet config for image classification on imagenet. |\n| [`seg_deeplabv3_pascal`](../../../tfm/vision/configs/semantic_segmentation/seg_deeplabv3_pascal) | Image segmentation on pascal voc with resnet deeplabv3. |\n| [`seg_deeplabv3plus_cityscapes`](../../../tfm/vision/configs/semantic_segmentation/seg_deeplabv3plus_cityscapes) | Image segmentation on cityscapes with resnet deeplabv3+. |\n| [`seg_deeplabv3plus_pascal`](../../../tfm/vision/configs/semantic_segmentation/seg_deeplabv3plus_pascal) | Image segmentation on pascal voc with resnet deeplabv3+. |\n| [`seg_resnetfpn_pascal`](../../../tfm/vision/configs/semantic_segmentation/seg_resnetfpn_pascal) | Image segmentation on pascal voc with resnet-fpn. |\n| [`semantic_segmentation`](../../../tfm/vision/configs/semantic_segmentation/semantic_segmentation) | Semantic segmentation general. |\n| [`video_classification`](../../../tfm/vision/configs/video_classification/video_classification) | Video classification general. |\n| [`video_classification_kinetics400`](../../../tfm/vision/configs/video_classification/video_classification_kinetics400) | Video classification on Kinetics 400 with resnet. |\n| [`video_classification_kinetics600`](../../../tfm/vision/configs/video_classification/video_classification_kinetics600) | Video classification on Kinetics 600 with resnet. |\n| [`video_classification_kinetics700`](../../../tfm/vision/configs/video_classification/video_classification_kinetics700) | Video classification on Kinetics 700 with resnet. |\n| [`video_classification_kinetics700_2020`](../../../tfm/vision/configs/video_classification/video_classification_kinetics700_2020) | Video classification on Kinetics 700 2020 with resnet. |\n| [`video_classification_ucf101`](../../../tfm/vision/configs/video_classification/video_classification_ucf101) | Video classification on UCF-101 with resnet. |\n| [`vit_imagenet_finetune`](../../../tfm/vision/configs/image_classification/image_classification_imagenet_vit_finetune) | Image classification on imagenet with vision transformer. |\n| [`vit_imagenet_pretrain`](../../../tfm/vision/configs/image_classification/image_classification_imagenet_vit_pretrain) | Image classification on imagenet with vision transformer. |\n\n\u003cbr /\u003e"]]