我想在TX1上安装py-faster-rcnn,我按照,修改了/caffe-fast-rcnn/Makefile和/caffe-fast-rcnn/Makefile.config,但当我尝试这样做时,出现了问题:
ubuntu@tegra-ubuntu:~/py-faster-rcnn/caffe-fast-rcnn$ make
PROTOC src/caffe/proto/caffe.proto
CXX .build_release/src/caffe/proto/caffe.pb.cc
CXX src/caffe/layer_factory.cpp
In file included fro
运行python train.py --logtostderr --train_dir = training / --pipeline_config_path = training / faster_rcnn_inception_v2_pets.config时出错
\trainer.py:260: create_global_step (from tensorflow.contrib.framework.python.ops.variables) is deprecated and will be removed in a future version.
Instructions fo
我想用ChainerCV训练一个更快的R-CNN。作为第一个测试,我主要复制了提供的example,我只更改了与dataset对应的lines,以使用我的自定义dataset。我检查了我的数据集是否具有this tutorial中描述的所有操作的完整功能。 如果我不做任何更改就运行脚本,那么一切都会正常工作,但是如果我更改了batch_size,我就会得到一个错误。我尝试将shared_mem从100MB增加到1000MB,但错误并没有消失。 设置batch_size=2时出错: Exception in main training loop: all the input array dim
我怎么才能解决这个问题?
(cv) jalal@klein:~/computer_vision/py-faster-rcnn/lib$ make
python setup.py build_ext --inplace
Traceback (most recent call last):
File "setup.py", line 58, in <module>
CUDA = locate_cuda()
File "setup.py", line 55, in locate_cuda
raise EnvironmentError
我是caffe的初学者。我试图运行快速run演示代码,我能够执行到我应该运行的./tools/demo.py,我遇到了这个错误:
Traceback (most recent call last):
File "./tools/demo.py", line 17, in <module>
from fast_rcnn.config import cfg
File "/home/prajwaljpj/Downloads/fast-rcnn-master/tools/../lib/fast_rcnn/__init__.py", line 9, in
我想创造一个损失。(情节)我用面具-RCNN。我从我的模型中装了一个重量。但我不能创造一个损失函数。我有错误:'Model' object has no attribute 'history'
model = modellib.MaskRCNN(mode="training",
config=config,
model_dir=ROOT_DIR)
model.load_weights('/my/path/to/mask_rcnn_00