training error after 80000 iteration, only get zf_rpn_stage1_iter_80000.caffemodel and zf_rpn_stage1_iter_80000_proposals.pkl

[nanzhixiong]

I am training a ZF model using voc 2007, appearing the error "TypeError: 'numpy.float64' object cannot be interpreted as an index" after 8000 iteration (with zf_rpn_stage1_iter_80000.caffemodel and zf_rpn_stage1_iter_80000_proposals.pkl finished).

I find the problem is caused by numpy , therefore, I install the numpy-1.11 by "sudo pip install -U numpy==1.11.0". however, another error "ImportError: numpy.core.multiarray failed to import" appears. This error can be solved by using "pip install -U numpy", which uninstall the numpy-1.11 and install the numpy-1.13.

The most boring problem is numpy-1.13 will agagin result in the error "TypeError: 'numpy.float64' object cannot be interpreted as an index" after 8000 iteration.

have someone met the same problem? how to solve it ? thanks

[eugene123tw]

Can you provide the whole error logs?
Otherwise it's hard to know where your problem is.

[nanzhixiong]

@eugene123tw

The error is as follows:

Process Process-3:
Traceback (most recent call last):
File "/usr/lib/python2.7/multiprocessing/process.py", line 258, in _bootstrap
self.run()
File "/usr/lib/python2.7/multiprocessing/process.py", line 114, in run
self._target(*self._args, **self._kwargs)
File "./tools/train_faster_rcnn_alt_opt.py", line 195, in train_fast_rcnn
max_iters=max_iters)
File "/home/nan/faster rcnn/py-faster-rcnn/tools/../lib/fast_rcnn/train.py", line 161, in train_net
model_paths = sw.train_model(max_iters)
File "/home/nan/faster rcnn/py-faster-rcnn/tools/../lib/fast_rcnn/train.py", line 102, in train_model
self.solver.step(1)
File "/home/nan/faster rcnn/py-faster-rcnn/tools/../lib/roi_data_layer/layer.py", line 144, in forward
blobs = self._get_next_minibatch()
File "/home/nan/faster rcnn/py-faster-rcnn/tools/../lib/roi_data_layer/layer.py", line 63, in _get_next_minibatch
return get_minibatch(minibatch_db, self._num_classes)
File "/home/nan/faster rcnn/py-faster-rcnn/tools/../lib/roi_data_layer/minibatch.py", line 55, in get_minibatch
num_classes)
File "/home/nan/faster rcnn/py-faster-rcnn/tools/../lib/roi_data_layer/minibatch.py", line 100, in _sample_rois
fg_inds, size=fg_rois_per_this_image, replace=False)
File "mtrand.pyx", line 1187, in mtrand.RandomState.choice (numpy/random/mtrand/mtrand.c:18864)
TypeError: 'numpy.float64' object cannot be interpreted as an index

[eugene123tw]

Try to change line 100, in lib/roi_data_layer/minibatch.py

from fg_inds = npr.choice(fg_inds,size=fg_rois_per_this_image, replace=False)

to fg_inds = npr.choice(int(fg_inds),size=int(fg_rois_per_this_image), replace=False)

[nanzhixiong]

@eugene123tw thank you very much for your kindness and patience. I follow your comment, the error is removed. However, another error appears:
"
Process Process-3:
Traceback (most recent call last):
File "/usr/lib/python2.7/multiprocessing/process.py", line 258, in _bootstrap
self.run()
File "/usr/lib/python2.7/multiprocessing/process.py", line 114, in run
self._target(*self._args, **self._kwargs)
File "./tools/train_faster_rcnn_alt_opt.py", line 195, in train_fast_rcnn
max_iters=max_iters)
File "/home/nan/faster rcnn/py-faster-rcnn/tools/../lib/fast_rcnn/train.py", line 161, in train_net
model_paths = sw.train_model(max_iters)
File "/home/nan/faster rcnn/py-faster-rcnn/tools/../lib/fast_rcnn/train.py", line 102, in train_model
self.solver.step(1)
File "/home/nan/faster rcnn/py-faster-rcnn/tools/../lib/roi_data_layer/layer.py", line 144, in forward
blobs = self._get_next_minibatch()
File "/home/nan/faster rcnn/py-faster-rcnn/tools/../lib/roi_data_layer/layer.py", line 63, in _get_next_minibatch
return get_minibatch(minibatch_db, self._num_classes)
File "/home/nan/faster rcnn/py-faster-rcnn/tools/../lib/roi_data_layer/minibatch.py", line 55, in get_minibatch
num_classes)
File "/home/nan/faster rcnn/py-faster-rcnn/tools/../lib/roi_data_layer/minibatch.py", line 120, in _sample_rois
labels[fg_rois_per_this_image:] = 0
TypeError: slice indices must be integers or None or have an index method
"
I am now studying on it.

[nanzhixiong]

@eugene123tw I search for some materials which shows the problem is caused by the numpy,
if the numpy-1.11.0 is installed, the problem will be solved.
therefore, I install it: sudo pip install -U numpy==1.11.0

however, the following error appears after install numpy-1.11.0:
Traceback (most recent call last):
File "./tools/train_faster_rcnn_alt_opt.py", line 19, in
from datasets.factory import get_imdb
File "/home/nan/faster rcnn/py-faster-rcnn/tools/../lib/datasets/factory.py", line 13, in
from datasets.coco import coco
File "/home/nan/faster rcnn/py-faster-rcnn/tools/../lib/datasets/coco.py", line 20, in
from pycocotools.coco import COCO
File "/home/nan/faster rcnn/py-faster-rcnn/tools/../lib/pycocotools/coco.py", line 58, in
import mask
File "/home/nan/faster rcnn/py-faster-rcnn/tools/../lib/pycocotools/mask.py", line 3, in
import pycocotools._mask as _mask
File "pycocotools/_mask.pyx", line 20, in init pycocotools._mask (pycocotools/_mask.c:11197)
File "init.pxd", line 989, in numpy.import_array (pycocotools/_mask.c:10030)
ImportError: numpy.core.multiarray failed to import

[eugene123tw]

I setup Faster-RCNN using Python 2.7 and followed the installation guide.

Can you provide me your setup?
Like the version of Python you are using.

[eugene123tw]

Did you install cython?

[nanzhixiong]

@eugene123tw cython has been installed. My configuration is ubuntu16.04, cuda 8.0, cudnn 5.1, python2.7. My setup combines mutiple installing guides. I find that the main issue is numpy, the code seems to be unfriendly with numpy-1.13.1.? @rbgirshick

[nanzhixiong]

@eugene123tw thank you very much. I find a possible error in makefile.confiure.
I change the following line
PYTHON_INCLUDE := /usr/include/python2.7
/usr/lib/python2.7/dist-packages/numpy/core/include
to
PYTHON_INCLUDE := /usr/include/python2.7
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy
I am trying it.

You are really helpful. My QQ number is 729887877

[eugene123tw]

@nanzhixiong I am glad it helped you. If you think the issue is solved, you can close it. Sorry, I don't have QQ. But you can add my LinkedIn or Facebook.

[nanzhixiong]

The problem is solved under the help of @eugene123tw.
Here is the solution:
configure:
ubuntu 16.04, cudnn 5.1, opencv 3.2 ,cuda 8.0.

solution:
Try to change the file in lib/roi_data_layer/minibatch.py
change the following lines:
line 55
for im_i in xrange(num_images):
labels, overlaps, im_rois, bbox_targets, bbox_inside_weights
= _sample_rois(roidb[im_i], int(fg_rois_per_image), int(rois_per_image),
int(num_classes))
line 98
if fg_inds.size > 0:
fg_inds = npr.choice(
fg_inds, size=int(fg_rois_per_this_image), replace=False)

line 110
if bg_inds.size > 0:
bg_inds = npr.choice(
bg_inds, size=int(bg_rois_per_this_image), replace=False)

line 124
bbox_targets, bbox_inside_weights = _get_bbox_regression_labels(
roidb['bbox_targets'][keep_inds, :], int(num_classes))
add
start = int(start)
end = int (end)

after line 175

potential cause:
According to some materials, the error is caused by numpy.
the version higher than 1.11.0 may not support float. therefore int(*) is needed.

when appearing "TypeError: 'numpy.float64' object cannot be interpreted as an index"
someone advise to install numpy-1.11.0
which will lead to "ImportError: numpy.core.multiarray failed to import"
using "sudo pip install -U numpy"can help find the right version of numpy.
my version is numpy-1.13.1

[Xinying666]

I modified it according to your method.However,the following error appears:TypeError: slice indices must be integers or None or have an index method

[JFishLover]

completely right @nanzhixiong ,thx