Text-Detection-with-FRCN
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Parameter issues on training coco-data
Really appreciate your sharing about the FRCN.
Currently I am following your steps to train the coco-text data.
I use all of the default settings in your script to train the pretrained model, however the result is not so good as yours.(iteration times = 70000, other parameters are the same as that in faster_rcnn_end2end.yml)
Would you please share the essential parameters that you used to train the coco-fine-tuned-model? such as iteration times,learning rate and some other parameters which should be modified. Thank you so much.
This is the final result that I got by using the default coco-text database
Evaluating detections Writing text VOC results file VOC07 metric? Yes AP for text = 0.3453 Mean AP = 0.3453
Results:
0.345
0.345
hi @athmey , i also use the default settings of frcn, but the pretrain model i use is official VGG16. And do you use full coco-text training data?