Comments (1)
To finetune the models, please copy the converted models to detectron2 path, and modify the lines related pretrained or resume path of the official config files. Then follow the instructions provided by detectron2 to train the models on COCO.
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Related Issues (20)
- training efficiency HOT 1
- TypeError: __call__() missing 1 required positional argument: 'view_size' HOT 1
- Question about COCO pretrained model HOT 1
- About BatchNormalization in finetuning Stage
- The settings between paper and code HOT 2
- HifaFace code
- Lower COCO AP after pre-training SoCo_FPN_100ep HOT 5
- What are the format requirements for the data? HOT 4
- How to turn off scale-aware assignment
- How to start pre training
- finetune detector HOT 1
- Hi,Can you provide the requirement.txt file ? HOT 1
- pretrained models of R101
- pretrained models of R101
- imagenet_root
- dataset
- Question about the roi_box_head
- loss is negative and learning rate remain at 0
- Hi,how can i get proposals with cluster info in detr
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