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Robert0812 / deepsaldet

Source code for our CVPR 2015 work on saliency detection by multi-context deep learning
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Exception TypeError: TypeError("'NoneType' object is not callable",) #2

Closed zhdsmy closed 9 years ago

zhdsmy commented 9 years ago

Loading images ... Superpixel segmentation ... Extracting windows from 0-th image ... [Total: 10] Extracting windows from 1-th image ... [Total: 10] Extracting windows from 2-th image ... [Total: 10] Extracting windows from 3-th image ... [Total: 10] Extracting windows from 4-th image ... [Total: 10] Extracting windows from 5-th image ... [Total: 10] Extracting windows from 6-th image ... [Total: 10] Extracting windows from 7-th image ... [Total: 10] Extracting windows from 8-th image ... [Total: 10] Extracting windows from 9-th image ... [Total: 10] 1023 E0702 16:22:40.293716 7705 extract_features.cpp:49] Using GPU E0702 16:22:40.293944 7705 extract_features.cpp:55] Using Device_id=0 E0702 16:22:42.401402 7705 extract_features.cpp:135] Extacting features for 1024 images ... E0702 16:22:45.945432 7705 extract_features.cpp:173] Extracted features of 1000 query images for feature blob fc8_msra10k E0702 16:22:46.005468 7705 extract_features.cpp:185] Extracted features of 1024 query images for feature blob fc8_msra10k E0702 16:22:46.005511 7705 extract_features.cpp:189] Successfully extracted the features! Exception TypeError: TypeError("'NoneType' object is not callable",) in <bound method UmfpackContext.new_del of <scipy.sparse.linalg.dsolve.umfpack.umfpack.UmfpackContext object at 0x7f9c0aa0aa50>> ignored

The saliency images are generated, but with this error information. Is it OK?

Robert0812 commented 9 years ago

Does this error happen after stage 1 prediction? Are saliency images with suffix _mc generated?

zhdsmy commented 9 years ago

@Robert0812 Thanks for you reply. I found no problem when I updated the scipy to the newest version.