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After setting like this,
I have a question about the output output when executing the "python run/train_3d.py --cfg configs/panoptic/resnet50/prn64_cpn80x80x20_960x512_cam5.yaml" command.
Why are there no results for all val data?
(There are only 10 validation results in output/.../image_with_joints/
validation_0000000_view_1_gt ~ validation_0000000_view_5_gt
validation_0000002_view_1_gt ~ validation_0000002_view_5_gt)
The text was updated successfully, but these errors were encountered:
Following the git description, the directory tree was configured as follows.
${POSE_ROOT}
|-- models
| |-- pose_resnet50_panoptic.pth.tar
|-- data
|-- panoptic-toolbox
|-- data
|-- 171204_pose1
| |-- hdImgs
| |-- hdvideos
| |-- hdPose3d_stage1_coco19
| |-- calibration_160224_haggling1.json
|-- 171204_pose1_sample
|-- ...
(Due to capacity issues, the 171204_pose1 and 171204_pose1_sample data
was used}
After configuring the directory tree, the panoptic.py code is modified as follows.
TRAIN_LIST = [ '171204_pose1', ]
VAL_LIST = [ '171204_pose1_sample' ]
After setting like this,
I have a question about the output output when executing the "python run/train_3d.py --cfg configs/panoptic/resnet50/prn64_cpn80x80x20_960x512_cam5.yaml" command.
Why are there no results for all val data?
(There are only 10 validation results in output/.../image_with_joints/
validation_0000000_view_1_gt ~ validation_0000000_view_5_gt
validation_0000002_view_1_gt ~ validation_0000002_view_5_gt)
The text was updated successfully, but these errors were encountered: