I have built a docker container based on the Dockerfile supplied in here. After confirmation of the output of demo.py, I tried to test the training processes.
docker exec serene_joliot python main_train.py
This is the log file of this process.
append flipped images to roidb
loading annotations into memory...
Done (t=13.01s)
creating index...
index created!
num_images 40504
COCO_val2014 gt roidb loaded from ./data/cache/COCO_val2014_gt_roidb.pkl
appending ground truth annotations
Reading cached proposals after ***NMS**** from data/proposals/COCO_val2014_rpn_after_nms.pkl
Done!
append flipped images to roidb
filtered 2138 roidb entries: 246574 -> 244436
add bounding box regression targets
bbox target means:
[[0. 0. 0. 0.]
[0. 0. 0. 0.]]
[0. 0. 0. 0.]
bbox target stdevs:
[[0.1 0.1 0.2 0.2]
[0.1 0.1 0.2 0.2]]
[0.1 0.1 0.2 0.2]
Creating Iterator with 244436 Images
I spent almost two days running this command. However, the output of this process was stopped at final line of the massage.
Does anyone have any idea to understand this state?
I have built a docker container based on the Dockerfile supplied in here. After confirmation of the output of demo.py, I tried to test the training processes.
This is the log file of this process.
I spent almost two days running this command. However, the output of this process was stopped at final line of the massage.
Does anyone have any idea to understand this state?
Machine spec CPU: i7-8700K GPU: GeForce GTX 1080