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训练时没有反应
name: GeForce GTX TITAN X
major: 5 minor: 2 memoryClockRate (GHz) 1.3415
pciBusID 0000:02:00.0
Total memory: 11.92GiB
Free memory: 11.58GiB
2018-04-10 16:46:53.757745: I tensorflow/core/…
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I train the model on icdar2015. The loss reaches 1.1 and can not decline any more.
The detection_eval is only 8.9 and it is low on the training set.
My training dataset and testing dataset are the s…
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When I try to run the simple example given in the README
python test.py --img=./imgs/img_105.jpg
I get an out of memory error:
F0426 09:41:13.545714 20964 syncedmem.cpp:71] Check fai…
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i understand that much of the new Tesseract 4.0 is using a customized implementation of Ocropus, relying basically on the new LSTM recognition engine.
But the main problem is that most of the decis…
ghost updated
6 years ago
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i trained this model on icdar2015, but the loss is still about 2 and the model dose not converge.
anything wrong?
below is the print：
> I0322 10:26:27.195602 34365 solver.cpp:243] Iteration 1…
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Hi
Since the result from TextBoxes++ is quadrangle, how did you compare to ICDAR2013?
This is how I did it:
x1 = result[0] # x is column LEFT
y1 = result[1] # y is row T…
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## I have downloaded the pre-trained model from baiduyun, and I only want to try the server.But when I runned run_demo_server.py, this problem occured. should I do something in icdar.py? Or must I dow…
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I used the command
python eval_seglink.py --checkpoint_path=./seglink/model.ckpt-136750 --dataset_name=icdar2015 --dataset_split_name=test --dataset_dir=./tf_records
to evaluate the model provi…
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Hi,
I tested your pretrained VGG 16 model on ICDAR2015 with no parameters change. The following is the result of icdar2015 official evaluation script. All these values are lower than what is claim…