support for ms coco dataset #13
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| for row_number in range(len(column)): | ||
| box_tmp = reader[column[row_number]][:] | ||
| row_data.append(np.transpose(box_tmp)) | ||
| boxes = row_data |
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Shouldn't this be boxes.append(row_data)?
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@rohitgirdhar It's the results of debugging. I don't know why it should be like that. There are two variables in the mat file. One is a cell array of path strings, and the other is a cell array of matrices (bbox). |
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@raingo Could you please share your trained models for COCO? |
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I've been working on a COCO baseline and have posted the code to the coco branch. My version of |
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a working copy of voc_pascal.py for Microsoft COCO dataset.
COCO dataset should be setup by data/coco/PythonAPI/init.py
Trained models will be shared soon.