How can I use a custom dataset for training?

[ma3252788]

How can I use a custom dataset for training?

I have made the data in COCO2017 format, but the number of classes and class names are different from COCO, which file should I change?

[rentainhe]

How can I use a custom dataset for training?

I have made the data in COCO2017 format, but the number of classes and class names are different from COCO, which file should I change?

You can use this functions: register_coco_instances to register your dataset in config file, and then update the dataset name

[rentainhe]

Here is an example:

# dataset config
from detectron2.data.datasets import register_coco_instances

register_coco_instances("my_dataset", {}, "path/to/json", "path/to/image_root") 

dataloader.train = L(build_detection_train_loader)(
    dataset=L(get_detection_dataset_dicts)(names="my_dataset"),
    ...

[rentainhe]

Please refer to custom.py to see how to register and use coco-like datasets in detrex and d2~

[ma3252788]

Here is an example:

# dataset config
from detectron2.data.datasets import register_coco_instances

register_coco_instances("my_dataset", {}, "path/to/json", "path/to/image_root") 

dataloader.train = L(build_detection_train_loader)(
    dataset=L(get_detection_dataset_dicts)(names="my_dataset"),
    ...

I see. Thank you very much for your reply.

[rentainhe]

Here is an example:

# dataset config
from detectron2.data.datasets import register_coco_instances

register_coco_instances("my_dataset", {}, "path/to/json", "path/to/image_root") 

dataloader.train = L(build_detection_train_loader)(
    dataset=L(get_detection_dataset_dicts)(names="my_dataset"),
    ...

I see. Thank you very much for your reply.

You're welcome~

[sjtu-cz]

File "/workspace/detrex/detectron2/detectron2/evaluation/coco_evaluation.py", line 240, in _eval_predictions
assert category_id < num_classes, (
AssertionError: A prediction has class=14, but the dataset only has 11 classes and predicted class id should be in [0, 10].

I use a custom dataset for training, but meet the error.

[FrostbiteLee]

File "/workspace/detrex/detectron2/detectron2/evaluation/coco_evaluation.py", line 240, in _eval_predictions assert category_id < num_classes, ( AssertionError: A prediction has class=14, but the dataset only has 11 classes and predicted class id should be in [0, 10].

I use a custom dataset for training, but meet the error.

I had the same problem. I need help.

[xiaolizai]

File "/workspace/detrex/detectron2/detectron2/evaluation/coco_evaluation.py", line 240, in _eval_predictions assert category_id < num_classes, ( AssertionError: A prediction has class=14, but the dataset only has 11 classes and predicted class id should be in [0, 10].

I use a custom dataset for training, but meet the error.

Maybe can help you. #267 (comment)

[sjtu-cz]

您好，你的邮件我已经收到~

[wwzstudy]

After modifying the custom.py file, run python tools/train_net.py --config-file projects/dab_detr/configs/models/dab_detr_r50.py, A Missing key train error occurred
full_key: train
object_type=dict

[wwzstudy]

ERROR [09/30 16:04:15 d2.config.instantiate]: Error when instantiating detectron2.data.build.build_detection_train_loader!