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HI I read your paper and interesting about your chartOCR. But I have a error. error: could not convert ‘at::CUDA(((c10::ScalarType)c10::kFloat))’ from ‘at::DeprecatedTypeProperties’ to ‘c10::IntArrayRef’ {aka ‘c10::ArrayRef’} 44 | auto max_val...

Hi, I tried to run the code by downloading the dataset of only Line Chart. I was able to make all the files. When I try to get the result...

_loading all datasets... using 1 threads loading from cache file: /home/cmvmlsky/DeepRule/data/bardata_1031/cache/chart_train2019.pkl loading annotations into memory... /home/cmvmlsky/DeepRule/data/bardata_1031/bar/annotations/instancesBar(1031)_train2019.json Done (t=13.22s) creating index... index created! loading from cache file: /home/cmvmlsky/DeepRule/data/bardata_1031/cache/chart_val2019.pkl loading annotations into...

Hi guys, I tried to run DeepRule as server with "python manage.py runserver 8800". And exception has been thrown out during load model from data/clsdata(1031)/cache/nnet/CornerNetCls/CornerNetCls_50000.pkl. The model file is from...

Hi, Was someone able to run the complete pipeline from a png image to tabular data? We tried running test_pipe_type_cloud.py with the test.png image provided but the output is absolutely...

Is it possible for the author to provide a clean code base, there is a lot of garbage in the current repository from previous implements of corner-net lite and then...

While training Full traceback ``` Traceback (most recent call last): File "train_chart.py", line 265, in train(training_dbs, validation_db, args.start_iter) File "train_chart.py", line 181, in train training, ind = sample_data(training_dbs[0], ind) File...

How were the hard coded values below calculated : db> coco.py> Line> init() ``` self._eig_val = np.array([0.2141788, 0.01817699, 0.00341571], dtype=np.float32) self._eig_vec = np.array([ [-0.58752847, -0.69563484, 0.41340352], [-0.5832747, 0.00994535, -0.81221408], [-0.56089297,...

Hi, is there an evaluation script to re-create numbers of table 2 from paper. The test_pipe_type_cloud.py only gives json as output. Where are the eval metrics ?