Open paulcx opened 7 years ago
config['output_feature'] is a deprecated configuration
I'm not sure about your problem, please give more info?
Would be possible to export/save the features and nodule detection results (ROIs maybe)?
Hi @lfz Is there a way we can simply export the bboxes coordinates and visualize them while testing the detection?
load the pbb, nms it, and you can get the coordinate, see data_classifier
@lfz Thank you. According to the data_classifier,
for idx in idcs:
pbb = np.load(os.path.join(bboxpath,idx+'_pbb.npy'))
pbb = pbb[pbb[:,0]>config['conf_th']]
pbb = nms(pbb, config['nms_th'])
print('bboxes: ',pbb.shape)
lbb = np.load(os.path.join(bboxpath,idx+'_lbb.npy'))
pbb_label = []
for p in pbb:
isnod = False
for l in lbb:
score = iou(p[1:5], l)
if score > config['detect_th']:
isnod = True
break
pbb_label.append(isnod)
self.candidate_box.append(pbb)
self.pbb_label.append(np.array(pbb_label))
self.crop = simpleCrop(config,phase)
How can I visualize the bounding boxes based on the specific slice of the CT scan? That requires the 3D location of a scan?
end preprocessing (18L, 1L, 208L, 208L, 208L) Traceback (most recent call last): File "main.py", line 62, in
test_detect(test_loader, nod_net, get_pbb, bbox_result_path,config1,n_gpu=config_submit['n_gpu'])
File "/home/xx/py/DSB2017-master/test_detect.py", line 55, in test_detect
output = split_comber.combine(output,nzhw=nzhw)
File "/home/xx/py/DSB2017-master/split_combine.py", line 83, in combine
splits[0].shape[4]), np.float32)
IndexError: tuple index out of range
I'm wondering if the codes: _if 'output_feature' in config: if config['outputfeature']: isfeat = True are used for exporting the features. If not, how can I review the features or proposals detected by the model?