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MIC-DKFZ / medicaldetectiontoolkit

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.
Apache License 2.0
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HELP #30

Closed wgs123 closed 5 years ago

wgs123 commented 5 years ago

I running the preprocessing.py and meet an error multiprocessing.pool.RemoteTraceback: """ Traceback (most recent call last): File "C:\ProgramData\Anaconda3\lib\multiprocessing\pool.py", line 119, in worker result = (True, func(*args, *kwds)) File "C:\ProgramData\Anaconda3\lib\multiprocessing\pool.py", line 44, in mapstar return list(map(args)) File "C:\medicaldetectiontoolkit-master\experiments\lidc_exp\preprocessing.py", line 56, in pp_patient img_arr = resample_array(img_arr, img.GetSpacing(), cf.target_spacing) File "C:\medicaldetectiontoolkit-master\experiments\lidc_exp\preprocessing.py", line 44, in resample_array resampled_img = tf.resize(img, target_shape, order=1, clip=True, mode='edge') File "C:\ProgramData\Anaconda3\lib\site-packages\skimage\transform_warps.py", line 177, in resize indexing='ij')) File "C:\ProgramData\Anaconda3\lib\site-packages\numpy\lib\function_base.py", line 4060, in meshgrid output = [x.copy() for x in output] File "C:\ProgramData\Anaconda3\lib\site-packages\numpy\lib\function_base.py", line 4060, in output = [x.copy() for x in output] MemoryError """

pfjaeger commented 5 years ago

if your cpu memory is too small you should turn down the number of processes, did you try that?