Comments (13)
Hi, I forked this repo and added cudnn 5 and ubuntu 16.04 support for the faster-rcnn branch:
caffe-fast-rcnn
I did not have the time yet to work through the other branches
from caffe-fast-rcnn.
I have the same problem,have you solved it yet?@ekcheng
from caffe-fast-rcnn.
related to #237
from caffe-fast-rcnn.
@nils489 Thanks it does work!
remember to checkout faster-rcnn branch!
from caffe-fast-rcnn.
@nils489 @shijx12 I download and compile your caffe-fast-rcnn , it seems to compile success. But when I run demo.py, I found that your src/caffe/proto/caffe.proto did not even have roi_pooling_param?
Did this repo correct???
from caffe-fast-rcnn.
EDIT: Oh sorry for my mistake. Now I checked the "faster-rcnn" branch and it works! Thanks @nils489
Probably @nils489 forked the wrong branch...
from caffe-fast-rcnn.
@sharpstill @askerlee As @shijx12 already said, check out the faster-rcnn branch. If you try to compile the master branch, it will fail. As I said in my original post:
I did not have the time yet to work through the other branches
The caffe.proto in the faster-rcnn branch does contain roi_pooling_param
@sharpstill Probably @nils489 forked the wrong branch...
@askerlee Probably @sharpstill checked out the wrong branch...
from caffe-fast-rcnn.
@nils489
I use this version for cudnn5 however it is not compatible for faster rcnn :(
when I try to run demo:
./tools/demo.py
[libprotobuf ERROR google/protobuf/text_format.cc:298] Error parsing text-format caffe.NetParameter: 350:21: Message type "caffe.LayerParameter" has no field named "roi_pooling_param".
WARNING: Logging before InitGoogleLogging() is written to STDERR
F0410 10:51:30.183878 46559 upgrade_proto.cpp:928] Check failed: ReadProtoFromTextFile(param_file, param) Failed to parse NetParameter file: /home/usename/code/fast2/py-faster-rcnn/models/pascal_voc/VGG16/faster_rcnn_alt_opt/faster_rcnn_test.pt
*** Check failure stack trace: ***
Aborted (core dumped)
from caffe-fast-rcnn.
@nils489
I am able to compile the caffe for py-faster-rcnn successfully. I am getting make runtest error:
E0416 11:20:37.078045 62161 io.cpp:90] Could not open or find file examples/images/fish-bike.jpg
F0416 11:20:37.078090 62161 image_data_layer.cpp:124] Check failed: cv_img.data Could not load examples/images/fish-bike.jpg
*** Check failure stack trace: ***
@ 0x7f5f396ef5cd google::LogMessage::Fail()
@ 0x7f5f396f1433 google::LogMessage::SendToLog()
@ 0x7f5f396ef15b google::LogMessage::Flush()
@ 0x7f5f396f1e1e google::LogMessageFatal::~LogMessageFatal()
@ 0x7f5f36e74a5e caffe::ImageDataLayer<>::load_batch()
@ 0x7f5f36f058bf caffe::BasePrefetchingDataLayer<>::InternalThreadEntry()
@ 0x7f5f37048115 caffe::InternalThread::entry()
@ 0x7f5f37c0f5d5 (unknown)
@ 0x7f5f3649f6ba start_thread
@ 0x7f5f361d541d clone
@ (nil) (unknown)
Makefile:526: recipe for target 'runtest' failed
make: *** [runtest] Aborted (core dumped)
Following is the working environment:
Ubuntu 16.04 LTS
CUDA Version 8.0.61
Driver Version: 384.111
GPU: GeForce GTX 1080
cuDNN v5
Am I missing some step or doing something wrong??
from caffe-fast-rcnn.
from caffe-fast-rcnn.
The errors are still there and the cuda has already been updated to the latest version. I tried to rebase the branch onto the master branch. Surprised, we still have the errors. Illustrated every year when I need to install caffe onto a new machine, always new errors occur!
from caffe-fast-rcnn.
Rebase the branch onto the lastest caffe and resolved conflicts solved the prolbem.
from caffe-fast-rcnn.
@ekcheng This can be closed now.
from caffe-fast-rcnn.
Related Issues (20)
- where is the code for roipooling backprop cuda code?? HOT 1
- dlopen _caffe.so Symbol not found HOT 1
- Could you please list all the changed files name?
- Odd numbered pooling height and pooling width gives mismatch
- Library not loaded: libcaffe.so.1.0.0-rc3 HOT 2
- why fast rcnn's input is different from the training prototxt
- problem with loading caffe model when using caffe-fast-rcnn in c++ HOT 1
- Doesnt compile with CUDA 8 and a Pascal GPU HOT 1
- where is first_rcnn_layers.hpp and roi_pooling_layer.hpp?
- Which hell versions of CUDA and cuDNN does project support? HOT 2
- Intersecting pooling regions in RoI layer
- fatal error: caffe/proto/caffe.pb.h
- make: *** [runtest] segment error (core dumped) HOT 1
- google:base error prevents building caffe-faste-rcnn! HOT 1
- about smooth_l1_loss_layer
- Training on oriented bounding box
- Ambiguity regarding roi pooling
- ROI Pooling Layer - Help understanding RP Param HOT 1
- cv VideoCapture
- error while making caffe
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from caffe-fast-rcnn.