AssertionError: RPN requires gt_instances in training!

[gabrieldevopsai]

I can't train object detection:

Dataset dicts: {'bbox': [305, 709, 538, 577], 'bbox_mode': <BoxMode.XYXY_ABS: 0>, 'category_id': 6, 'file_name': '/home/azureuser/projects/1.jpg', 'height': 841, 'image_id': 8309, 'segmentation': [[[305, 709, 538, 577]]], 'width': 595} }

My code:

cfg = get_cfg()
cfg.merge_from_file(model_zoo.get_config_file("COCO-Detection/faster_rcnn_R_50_FPN_3x.yaml"))
cfg.DATASETS.TRAIN = ("vda_train_v31",)
cfg.DATASETS.TEST = ()
cfg.DATALOADER.NUM_WORKERS = 2
cfg.MODEL.WEIGHTS = model_zoo.get_checkpoint_url("COCO-Detection/faster_rcnn_R_50_FPN_3x.yaml")  # Let training initialize from model zoo
cfg.SOLVER.IMS_PER_BATCH = 2
cfg.SOLVER.BASE_LR = 0.00025  # pick a good LR 0.00025 
cfg.SOLVER.MAX_ITER = 300    # 300 iterations seems good enough for this toy dataset; you may need to train longer for a practical dataset
cfg.MODEL.ROI_HEADS.BATCH_SIZE_PER_IMAGE = 128   # faster, and good enough for this toy dataset (default: 512)
cfg.MODEL.ROI_HEADS.NUM_CLASSES = 7  # only has one class (ballon)

trainer = CocoTrainer(cfg)
trainer.resume_or_load(resume=False)
trainer.train()

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[ALIABB17]

Hello, i encountered the same issue, did you solve it?