'caffe' has no attribute 'io

[Sam813]

Hi All,
I have got this error bellow:

AttributeError: module 'caffe' has no attribute 'io

though, when i import caffe there is no error in importation.
also, I can see the io.py file in the caffe root/python/caffe

Any advise to solve it?

[Noiredd]

Please provide more information. What commands are you executing so that the behavior occurs? What's your Makefile.config? Do make clean and make all > log.txt and post the log.

[Sam813]

@Noiredd I have done the make all,make test and make runtest without any error, also make pycaffe was successful. As It mentioned when I import caffe also no issue. this issue happens when I run a peace of code. below is my maybe i have done something wrong.
I made caffe for cpu and anaconda distribution of python 3.5.

My Make file:
## Refer to http://caffe.berkeleyvision.org/installation.html
# Contributions simplifying and improving our build system are welcome!

# cuDNN acceleration switch (uncomment to build with cuDNN).
# USE_CUDNN := 1

# CPU-only switch (uncomment to build without GPU support).
CPU_ONLY := 1

# uncomment to disable IO dependencies and corresponding data layers
# USE_OPENCV := 0
# USE_LEVELDB := 0
# USE_LMDB := 0

# uncomment to allow MDB_NOLOCK when reading LMDB files (only if necessary)
# You should not set this flag if you will be reading LMDBs with any
# possibility of simultaneous read and write
# ALLOW_LMDB_NOLOCK := 1

# Uncomment if you're using OpenCV 3
OPENCV_VERSION := 3

# To customize your choice of compiler, uncomment and set the following.
# N.B. the default for Linux is g++ and the default for OSX is clang++
# CUSTOM_CXX := g++

# CUDA directory contains bin/ and lib/ directories that we need.
CUDA_DIR := /usr/local/cuda
# On Ubuntu 14.04, if cuda tools are installed via
# "sudo apt-get install nvidia-cuda-toolkit" then use this instead:
# CUDA_DIR := /usr

# CUDA architecture setting: going with all of them.
**# For CUDA < 6.0, comment the _50 through _61 lines for compatibility.
**# For CUDA < 8.0, comment the _60 and _61 lines for compatibility.
CUDA_ARCH := -gencode arch=compute_20,code=sm_20
-gencode arch=compute_20,code=sm_21
-gencode arch=compute_30,code=sm_30
-gencode arch=compute_35,code=sm_35
-gencode arch=compute_50,code=sm_50
-gencode arch=compute_52,code=sm_52
-gencode arch=compute_60,code=sm_60
-gencode arch=compute_61,code=sm_61
-gencode arch=compute_61,code=compute_61

# BLAS choice:
# atlas for ATLAS (default)
# mkl for MKL
# open for OpenBlas
BLAS := atlas
# Custom (MKL/ATLAS/OpenBLAS) include and lib directories.
# Leave commented to accept the defaults for your choice of BLAS
# (which should work)!
# BLAS_INCLUDE := /path/to/your/blas
# BLAS_LIB := /path/to/your/blas

# Homebrew puts openblas in a directory that is not on the standard search path
# BLAS_INCLUDE := $(shell brew --prefix openblas)/include
# BLAS_LIB := $(shell brew --prefix openblas)/lib

# This is required only if you will compile the matlab interface.
# MATLAB directory should contain the mex binary in /bin.
# MATLAB_DIR := /usr/local
# MATLAB_DIR := /Applications/MATLAB_R2012b.app

# NOTE: this is required only if you will compile the python interface.
# We need to be able to find Python.h and numpy/arrayobject.h.
*#PYTHON_INCLUDE := /usr/include/python2.7 *
/usr/lib/python2.7/dist-packages/numpy/core/include
# Anaconda Python distribution is quite popular. Include path:
# Verify anaconda location, sometimes it's in root.
ANACONDA_HOME := $(HOME)/anaconda3
PYTHON_INCLUDE := $(ANACONDA_HOME)/envs/python35/include
$(ANACONDA_HOME)/envs/python35/include/python3.5m
$(ANACONDA_HOME)/envs/python35/lib/python3.5/site-packages/numpy/core/include

# Uncomment to use Python 3 (default is Python 2)
#PYTHON_LIBRARIES := boost_python3 python3.5m
*#PYTHON_INCLUDE := /usr/include/python3.5m *
# /usr/lib/python3.5/dist-packages/numpy/core/include

# We need to be able to find libpythonX.X.so or .dylib.
#PYTHON_LIB := /usr/lib
PYTHON_LIB := $(ANACONDA_HOME)/envs/python35/lib

# Homebrew installs numpy in a non standard path (keg only)
# PYTHON_INCLUDE += $(dir $(shell python -c 'import numpy.core; print(numpy.core.file)'))/include
# PYTHON_LIB += $(shell brew --prefix numpy)/lib

# Uncomment to support layers written in Python (will link against Python libs)
# WITH_PYTHON_LAYER := 1

# Whatever else you find you need goes here.
INCLUDE_DIRS := $(PYTHON_INCLUDE) /usr/local/include
LIBRARY_DIRS := $(PYTHON_LIB) /usr/local/lib /usr/lib

# If Homebrew is installed at a non standard location (for example your home directory) and you use it for general dependencies
# INCLUDE_DIRS += $(shell brew --prefix)/include
# LIBRARY_DIRS += $(shell brew --prefix)/lib

# NCCL acceleration switch (uncomment to build with NCCL)
# https://github.com/NVIDIA/nccl (last tested version: v1.2.3-1+cuda8.0)
# USE_NCCL := 1

# Uncomment to use pkg-config to specify OpenCV library paths.
# (Usually not necessary -- OpenCV libraries are normally installed in one of the above $LIBRARY_DIRS.)
# USE_PKG_CONFIG := 1

# N.B. both build and distribute dirs are cleared on make clean
BUILD_DIR := build
DISTRIBUTE_DIR := distribute

# Uncomment for debugging. Does not work on OSX due to #171
# DEBUG := 1

# The ID of the GPU that 'make runtest' will use to run unit tests.
TEST_GPUID := 0

# enable pretty build (comment to see full commands)
Q ?= @

[Sam813]

@Noiredd the error happens in this line
input_image = 255 * caffe.io.load_image(input_file)

[Nomia]

same error here on google Colab

[ddavarma]

Did u fix the error im getting same error rn

[ezimnitskiy]

any updates?

[xiaolin1990]

这是来自QQ邮箱的假期自动回复邮件。 谢谢，您的邮件已收到，尽快给您回复。

[lovie123]

您好，邮件已收到，谢谢！

[dragonQian]

这是来自QQ邮箱的假期自动回复邮件。   您好，我最近正在休假中，无法亲自回复您的邮件。我将在假期结束后，尽快给您回复。

[magicse]

Colab
AttributeError Traceback (most recent call last)
in
2
3 ref_path = './lines.jpg'
----> 4 ref_img_fullres = caffe.io.load_image(ref_path)

AttributeError: module 'caffe' has no attribute 'io'

[fravij99]

I got the same problem on google colab. When I write print(caffe.io) I obtain "module 'caffe' has no attribute 'io' "