Created
February 27, 2022 08:22
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import os | |
from point_rend.config import add_pointrend_config #most important | |
# from detectron2.utils.logger import setup_logger | |
# setup_logger() | |
from detectron2 import model_zoo | |
from detectron2.config import get_cfg | |
from detectron2.data.datasets import register_coco_instances | |
from detectron2.engine import DefaultTrainer | |
register_coco_instances("my_dataset_train", {}, "/code/detectron2/detectron2/instances_train2017.json", "/code/detectron2/detectron2/train2017") | |
register_coco_instances("my_dataset_val", {}, "/code/detectron2/detectron2/instances_val2017.json", "/code/detectron2/detectron2/val2017") | |
register_coco_instances("my_dataset_test", {}, "/code/detectron2/detectron2/instances_test2017.json", "/code/detectron2/detectron2/test2017") | |
cfg = get_cfg() | |
add_pointrend_config(cfg) #most important | |
cfg.merge_from_file("/code/detectron2/projects/PointRend/configs/InstanceSegmentation/pointrend_rcnn_X_101_32x8d_FPN_3x_coco.yaml") | |
#cfg.MODEL.WEIGHTS = model_zoo.get_checkpoint_url("/code/pointrend/detectron2/projects/PointRend/configs/InstanceSegmentation/pointrend_rcnn_X_101_32x8d_FPN_3x_coco.yaml") | |
cfg.MODEL.WEIGHTS ="detectron2://ImageNetPretrained/FAIR/X-101-32x8d.pkl" | |
cfg.DATASETS.TRAIN = ("my_dataset_train",) | |
cfg.DATASETS.TEST = ("my_dataset_test",) | |
cfg.DATALOADER.NUM_WORKERS = 2 | |
cfg.SOLVER.IMS_PER_BATCH = 1 | |
cfg.SOLVER.BASE_LR = 0.00025 | |
cfg.MODEL.ROI_HEADS.NUM_CLASSES = 1 | |
cfg.MODEL.POINT_HEAD.NUM_CLASSES = 1 | |
cfg.INPUT.MAX_SIZE_TRAIN = 1333 | |
cfg.INPUT.MIN_SIZE_TRAIN = (1024,1075,1126,1178,1230,1280) | |
cfg.INPUT.MAX_SIZE_TEST=1333 | |
cfg.INPUT.MIN_SIZE_TEST=1280 | |
cfg.MODEL.ROI_HEADS.SCORE_THRESH_TEST =0.7 | |
cfg.OUTPUT_DIR = "/code/detectron2/detectron2/output/" | |
os.makedirs(cfg.OUTPUT_DIR, exist_ok=True) | |
print(cfg.dump()) | |
with open("/code/detectron2/detectron2/output/pointrend_custom_mask_rcnn_X_101_32x8d_FPN_3x_feb_data_train_1_1280_scale_jitter_005.yaml", "w") as f: | |
f.write(cfg.dump()) | |
trainer = DefaultTrainer(cfg) | |
trainer.resume_or_load(resume=False) | |
trainer.train() |
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