question about custom dataset train

[bruce2k]

hi , this is a great work!

after read the paper and try the inference , i want to train the model use my own dataset with 'keypoint_rcnn_R-50-FPN_s1x.yaml'. because my dataset have 13 categories and i notice the 'background' will add to class , so i set the MODEL.NUM_CLASSES: 14 in the '*.yaml' file; but when i train the model , i found the train log is strange, at beginning the accuacy keep increase and loss keep decrease, but after train about 2900 iters the "accuracy_cls" suddenly become very small, and loss become very big , even continue train , the situation no change, i use single GPU 1080Ti. it's cause by single GPU? don't know why, what should I do?

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json_stats: {"accuracy_cls": "0.333333", "eta": "6:42:02", "iter": 29500, "loss": "10.535622", "loss_bbox": "0.000504", "loss_cls": "2.486256", "loss_kps": "8.049674", "lr": "0.002500", "mb_qsize": 64, "mem": 6340, "time": "0.240029"} json_stats: {"accuracy_cls": "0.125000", "eta": "6:41:58", "iter": 29520, "loss": "10.200245", "loss_bbox": "0.001737", "loss_cls": "2.147464", "loss_kps": "8.049827", "lr": "0.002500", "mb_qsize": 64, "mem": 6340, "time": "0.240033"} json_stats: {"accuracy_cls": "0.125000", "eta": "6:41:53", "iter": 29540, "loss": "10.369551", "loss_bbox": "0.000180", "loss_cls": "2.319638", "loss_kps": "8.049517", "lr": "0.002500", "mb_qsize": 64, "mem": 6340, "time": "0.240031"} json_stats: {"accuracy_cls": "0.250000", "eta": "6:41:48", "iter": 29560, "loss": "10.335373", "loss_bbox": "0.000089", "loss_cls": "2.285769", "loss_kps": "8.050155", "lr": "0.002500", "mb_qsize": 64, "mem": 6340, "time": "0.240031"} json_stats: {"accuracy_cls": "0.250000", "eta": "6:41:43", 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[smoolya17]

@bruce2k did you use this code for training your own dataset? Can I use this code for detecting bank cheque micr code detection?

[bruce2k]

@smoolya17 yes I trained my own dataset. You can try .

[smoolya17]

Ok thanks

I failed to install using python 3.7 installation, so now trying with anaconda distribution

[bruce2k]

follow the installation instructions https://github.com/facebookresearch/Detectron/blob/master/INSTALL.md

[smoolya17]

@bruce2k the instructions tells me to have a gpu? Can I not test without it?

[bruce2k]

@smoolya17 GPU is required. You can try cloud .

[smoolya17]

Google Collab works?

[bruce2k]

yup,you can try it

[smoolya17]

Collab does not allow weights downloaded through weblinks.

[vaibhavkumar049]

@smoolya17 were you successfull in object detection? with google colab?

[smoolya17]

@vaibhavkumar049 I did not try

[progvasu]

@smoolya17 collab allows weights download through weblinks!