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add a README for training object detection models (#1612)
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# Object detection reference training scripts | ||
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This folder contains reference training scripts for object detection. | ||
They serve as a log of how to train specific models, as provide baseline | ||
training and evaluation scripts to quickly bootstrap research. | ||
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Except otherwise noted, all models have been trained on 8x V100 GPUs. | ||
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### Faster R-CNN | ||
``` | ||
python -m torch.distributed.launch --nproc_per_node=8 --use_env train.py\ | ||
--dataset coco --model fasterrcnn_resnet50_fpn --epochs 26\ | ||
--lr-steps 16 22 --aspect-ratio-group-factor 3 | ||
``` | ||
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### Mask R-CNN | ||
``` | ||
python -m torch.distributed.launch --nproc_per_node=8 --use_env train.py\ | ||
--dataset coco --model maskrcnn_resnet50_fpn --epochs 26\ | ||
--lr-steps 16 22 --aspect-ratio-group-factor 3 | ||
``` | ||
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### Keypoint R-CNN | ||
``` | ||
python -m torch.distributed.launch --nproc_per_node=8 --use_env train.py\ | ||
--dataset coco_kp --model keypointrcnn_resnet50_fpn --epochs 46\ | ||
--lr-steps 36 43 --aspect-ratio-group-factor 3 | ||
``` | ||
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