Faster-RCNN之TypeError: 'numpy.float64' object cannot be interpreted as an index

在训练stage1 rpn时，出现’numpy.float64’ object cannot be interpreted as an index 的提示错误，几乎所有的博客中都指出，需要更换numpy 的版本，照做之后，出现ImportError: numpy.core.multiarray failed to import，这个问题又是numpy不匹配造成的，这样就形成了恶性循环，所以，可以考虑从根源上解决’numpy.float64’ object cannot be interpreted as an index

TypeError: ‘numpy.float64’ object cannot be interpreted as an index

1. /home/xxx/py-faster-rcnn/lib/roi_data_layer/minibatch.py

将第26行：fg_rois_per_image = np.round(cfg.TRAIN.FG_FRACTION * rois_per_image)
改为：fg_rois_per_image = np.round(cfg.TRAIN.FG_FRACTION * rois_per_image).astype(np.int)

第174，175行改为：
for ind in inds:
	cls = clss[ind]
	start =int( 4 * cls)
	end = int(start + 4)
	bbox_targets[ind, start:end] = bbox_target_data[ind, 1:]
	bbox_inside_weights[ind, start:end] = cfg.TRAIN.BBOX_INSIDE_WEIGHTS

2. /home/xxx/py-faster-rcnn/lib/datasets/ds_utils.py

将第12行：hashes = np.round(boxes * scale).dot(v)
改为：hashes = np.round(boxes * scale).dot(v).astype(np.int)

3. /home/xxx/py-faster-rcnn/lib/fast_rcnn/test.py

将第129行： hashes = np.round(blobs['rois'] * cfg.DEDUP_BOXES).dot(v)
改为： hashes = np.round(blobs['rois'] * cfg.DEDUP_BOXES).dot(v).astype(np.int)

4. /home/xxx/py-faster-rcnn/lib/rpn/proposal_target_layer.py

将第60行：fg_rois_per_image = np.round(cfg.TRAIN.FG_FRACTION * rois_per_image)
改为：fg_rois_per_image = np.round(cfg.TRAIN.FG_FRACTION * rois_per_image).astype(np.int)

解决完上一个问题后，又出现 TypeError: slice indices must be integers or None or have an __index__ method的问题，如果没有改变numpy的版本

修改 /home/XXX/py-faster-rcnn/lib/rpn/proposal_target_layer.py，转到123行：
for ind in inds:
	cls = clss[ind]
	start = 4 * cls
	end = start + 4
	bbox_targets[ind, start:end] = bbox_target_data[ind, 1:]bbox_inside_weights[ind, start:end] = cfg.TRAIN.BBOX_INSIDE_WEIGHTS
return bbox_targets, bbox_inside_weights

这里的ind，start，end都是 numpy.int 类型，这种类型的数据不能作为索引，所以必须对其进行强制类型转换，转化结果如下：

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

转载原文出处：https://www.cnblogs.com/mengmengmiaomiao/p/9185272.html