fix path issues

configs/r50_fpn_frcnn_1x.py

@@ -79,7 +79,7 @@ test_cfg = dict(
     rcnn=dict(score_thr=0.05, max_per_img=100, nms_thr=0.5))
 # dataset settings
 dataset_type = 'CocoDataset'
-data_root = '../data/coco/'
+data_root = 'data/coco/'
 img_norm_cfg = dict(
     mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True)
 data = dict(

configs/r50_fpn_maskrcnn_1x.py

@@ -92,7 +92,7 @@ test_cfg = dict(
         score_thr=0.05, max_per_img=100, nms_thr=0.5, mask_thr_binary=0.5))
 # dataset settings
 dataset_type = 'CocoDataset'
-data_root = '../data/coco/'
+data_root = 'data/coco/'
 img_norm_cfg = dict(
     mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True)
 data = dict(

configs/r50_fpn_rpn_1x.py

@@ -50,7 +50,7 @@ test_cfg = dict(
         min_bbox_size=0))
 # dataset settings
 dataset_type = 'CocoDataset'
-data_root = '../data/coco/'
+data_root = 'data/coco/'
 img_norm_cfg = dict(
     mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True)
 data = dict(

tools/dist_train.sh

@@ -2,4 +2,4 @@
 
 PYTHON=${PYTHON:-"python"}
 
-$PYTHON -m torch.distributed.launch --nproc_per_node=$2 train.py $1 --launcher pytorch ${@:3}
+$PYTHON -m torch.distributed.launch --nproc_per_node=$2 $(dirname "$0")/train.py $1 --launcher pytorch ${@:3}