TypeError: slice indices must be integers or None or have an __index__ method about affordance-net HOT 7 OPEN

Thanks guys! I did as @lsj910128 proposed and changed the lib/rpn/proposal_target_layer.py to force the values to be integers. After modifying this, the training script worked! This is the summary of the changes I made:

1. replace the for loop in line 532 with:

for ind in inds:
        cls = clss[ind]
        start = 4 * cls
        end = start + 4
        start = int(start)
        end = int(end)
        bbox_targets[ind, start:end] = bbox_target_data[ind, 1:]
        bbox_inside_weights[ind, start:end] = cfg.TRAIN.BBOX_INSIDE_WEIGHTS

2. replace the if statement in line 579 with:

if fg_inds.size > 0:
        fg_inds = npr.choice(fg_inds, size=int(fg_rois_per_this_image), replace=False)

3. replace the if statement in line 590 with:

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

4. replace line 597 with:

    labels[int(fg_rois_per_this_image):] = 0

5. replace line 305 with:

roi_mask = -1 * np.ones((int(h), int(w)), dtype=np.float32)

6. replace line 330 with:

mask_overlap = np.zeros((int(y2o-y1o), int(x2o-x1o)), dtype=np.float32)

7. replace line 339 with:

mask_overlap_draw = color_img[int(y1o):int(y2o), int(x1o):int(x2o), :]

8. replace line 347 with:

mask_overlap[:, :] = gt_mask[int(y1o):int(y2o), int(x1o):int(x2o)]

9. replace line 352 with:

roi_mask[int(y1o-y1):int(y2o-y1), int(x1o-x1):int(x2o-x1)] = mask_overlap

from affordance-net.

I have had this problem before. Because I have no root user rights, so I directly change the code in rpn/proposal_target_layer.py", line 305
roi_mask = -1 * np.ones((int(h), int(w)), dtype=np.float32)

There are another places need to be change in the rpn/proposal_target_layer.py

from affordance-net.

You can manually convert the float indexes to integers. If it works, then it's ok.

from affordance-net.

This is a numpy version problem. I guess you're using version > 1.11.2, which doesn't support float index.

A quick fix is just to install numpy 1.11.2: sudo pip install numpy==1.11.2, then you don't have to change anything in the code.

from affordance-net.

You can fix the float index problem by converting the indexes to integer.
Or without root, you can try pip install numpy==1.11.2 --user. It will be installed on your local system, and there is no need to change the code :)

from affordance-net.

@nqanh Thanks a lot! It's a good means to solve this problem. You always can give us good advice!

from affordance-net.

@nqanh I did 'pip install numpy==1.11.2' but it doesn't work
if i did 'pip install numpy==1.11.2' then error message is

ImportError: numpy.core.multiarray failed to import

so, I reinstall >1.11 numpy then error message is

TypeError: slice indices must be integers or None or have an index method

so I fixed the code, then it worked
Could I solve this problem?

My environment is

anaconda2
python2.7.12
ubuntu14
cuda8.0
cudnn5.1

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