Tian Zhi

@xsd1221 Thank you for your interest. The core methods are same. However, to handle the various images uploaded by users, we use a little different configurations in the online demo....

@riless We use K40 for the demo.

@riless Yes.

@xsd1221 I am so sorry that I can't release the file since it heavily depends on the training code that cannot be released now. However, if you have any questions...

@riless You could set a maximum value for the longer side to avoid the issue. Thank you:-).

@kzw5309 Thank you for your interest. The different is because the parameters in `tools/cfg.py` are also a little different. You can show the text proposals. I think they have probably...

@kzw5309 The parameters we're using in our online demo are: MIN_RATIO=0.9 LINE_MIN_SCORE=0.6 TEXT_LINE_NMS_THRESH=0.3 MAX_HORIZONTAL_GAP=50 TEXT_PROPOSALS_MIN_SCORE=0.7 TEXT_PROPOSALS_NMS_THRESH=0.3 MIN_NUM_PROPOSALS=0 MIN_V_OVERLAPS=0.6 MIN_SIZE_SIM=0.6 Thank you:-).

@kzw5309 Have you tried to set the scale in your demo according to what I mentioned before?

@kzw5309 For example, if your original image is 600x900, the image input to the network will be (600x1.2)x(900x1.2)=720x1080. You also need to set a maximum scale (eg. 1500) to avoid...

@kzw5309 No, the CUP mode and GPU mode should give the same results. Can you post the images here? And why do you still use `resize_im()` after resizing the image...