Comments (6)
- Can you upgrade to tensorflow 1.14.0?
- does it work if you do "bazel ...."?
from waymo-open-dataset.
I realized that last time, something with my conda environment went wrong, so I set up my conda environment from scratch again, now I am on Python 3.7.4 and Tensorflow 1.14.0, but unfortunatelly, it still doesn't work :(
any suggestions?
(pytorch) ***/repositories/waymo-open-dataset (master)
$ lsb_release -a
No LSB modules are available.
Distributor ID: Debian
Description: Debian GNU/Linux 9.9 (stretch)
Release: 9.9
Codename: stretch
(pytorch) ***/repositories/waymo-open-dataset (master)
$ conda info
active environment : pytorch
active env location : ****/apps/anaconda3/envs/pytorch
shell level : 1
user config file : ~/.condarc
populated config files : ~/.condarc
conda version : 4.7.11
conda-build version : 3.18.8
python version : 3.7.3.final.0
virtual packages : __cuda=9.1
base environment : ****/apps/anaconda3 (writable)
channel URLs : https://repo.anaconda.com/pkgs/main/linux-64
https://repo.anaconda.com/pkgs/main/noarch
https://repo.anaconda.com/pkgs/r/linux-64
https://repo.anaconda.com/pkgs/r/noarch
package cache : ****/apps/anaconda3/pkgs
~/.conda/pkgs
envs directories : ****/apps/anaconda3/envs
~/.conda/envs
platform : linux-64
user-agent : conda/4.7.11 requests/2.22.0 CPython/3.7.3 Linux/4.9.0-9-amd64 debian/9.9 glibc/2.24
UID:GID : 183945:210598
netrc file : None
offline mode : False
(pytorch) ***/repositories/waymo-open-dataset (master)
$ python
Python 3.7.4 (default, Aug 13 2019, 20:35:49)
[GCC 7.3.0] :: Anaconda, Inc. on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import tensorflow as tf
>>> print(tf.__version__)
1.14.0
>>>
(pytorch) ***/repositories/waymo-open-dataset (master)
$ ./configure.sh
(pytorch) ***/repositories/waymo-open-dataset (master)
$ cat .bazelrc
build -c opt
build --cxxopt="-std=c++11"
build --cxxopt="-D_GLIBCXX_USE_CXX11_ABI=0"
build --auto_output_filter=subpackages
build --copt="-Wall" --copt="-Wno-sign-compare"
build --incompatible_bzl_disallow_load_after_statement=false
query --incompatible_bzl_disallow_load_after_statement=false
build --action_env TF_HEADER_DIR="****/apps/anaconda3/envs/pytorch/lib/python3.7/site-packages/tensorflow/include"
build --action_env TF_SHARED_LIBRARY_DIR="****/anaconda3/envs/pytorch/lib/python3.7/site-packages/tensorflow"
build --action_env TF_SHARED_LIBRARY_NAME="libtensorflow_framework.so.1"
build --action_env TF_NEED_CUDA="0"
(pytorch) ***/repositories/waymo-open-dataset (master)
$ bazel clean
$TEST_TMPDIR defined: output root default is '****//apps/bazel/tmp/' and max_idle_secs default is '15'.
Starting local Bazel server and connecting to it...
INFO: Starting clean (this may take a while). Consider using --async if the clean takes more than several minutes.
(pytorch) ***/repositories/waymo-open-dataset (master)
$ bazel test waymo_open_dataset/metrics:all
$TEST_TMPDIR defined: output root default is '****/apps/bazel/tmp/' and max_idle_secs default is '15'.
INFO: Analyzed 0 targets (0 packages loaded, 0 targets configured).
INFO: Found 0 test targets...
INFO: Deleting stale sandbox base *****/7949466ed62fa6a3ae0dd7b5ff840d35/sandbox
INFO: Elapsed time: 0.385s, Critical Path: 0.01s
INFO: 0 processes.
INFO: Build completed successfully, 1 total action
INFO: Build completed successfully, 1 total action
(pytorch) ***/repositories/waymo-open-dataset (master)
$ bazel build waymo_open_dataset/metrics/tools/compute_detection_metrics_main
$TEST_TMPDIR defined: output root default is '****/apps/bazel/tmp/' and max_idle_secs default is '15'.
WARNING: Usage: bazel build <options> <targets>.
Invoke `bazel help build` for full description of usage and options.
Your request is correct, but requested an empty set of targets. Nothing will be built.
INFO: Analyzed 0 targets (0 packages loaded, 0 targets configured).
INFO: Found 0 targets...
INFO: Elapsed time: 0.046s, Critical Path: 0.01s
INFO: 0 processes.
INFO: Build completed successfully, 1 total action
from waymo-open-dataset.
You are building an empty target.
Try:
bazel build ...?
Can you list your directory structure (ls -R)?
from waymo-open-dataset.
(pytorch) ***/repositories/waymo-open-dataset (r1.0)
$ ls -R
.:
bazel-bin bazel-out bazel-waymo-open-dataset CONTRIBUTING.md LICENSE tf tutorial WORKSPACE
bazel-genfiles bazel-testlogs configure.sh docs README.md third_party waymo_open_dataset
./docs:
docker.md images labeling_specifications.md quick_start.md
./docs/images:
cyclist-2D-labeling-example.png pedestrian-3D-labeling-example.png vehicle-3D-labeling-example.png
cyclist-3D-labeling-example.png sign-3D-labeling-example.png
pedestrian-2D-labeling-example.png vehicle-2D-labeling-example.png
./tf:
BUILD build_config.bzl BUILD.tpl tf_configure.bzl
./third_party:
BUILD glog.BUILD __init__.py six.BUILD zlib.BUILD
./tutorial:
3d_point_cloud.png BUILD cpu-jupyter.Dockerfile frames jupyter_kernel.py tutorial.ipynb
./waymo_open_dataset:
BUILD common dataset_pb2.py dataset.proto __init__.py label_pb2.py label.proto math metrics protos __pycache__ utils
./waymo_open_dataset/common:
BUILD integral_types.h
./waymo_open_dataset/math:
aabox2d.h box2d.h exactfloat.cc math_util.h polygon2d_test.cc vec2d.h
aabox2d_test.cc box2d_test.cc exactfloat.h polygon2d.cc segment2d.cc vec2d_test.cc
box2d.cc BUILD exactfloat_test.cc polygon2d.h segment2d.h
./waymo_open_dataset/metrics:
breakdown_generator.cc detection_metrics.h iou.h metrics_utils_test.cc test_utils.h
breakdown_generator.h detection_metrics_test.cc iou_test.cc mot.cc tools
breakdown_generator_test.cc hungarian.cc matcher.cc mot.h tracking_metrics.cc
BUILD hungarian.h matcher.h mot_test.cc tracking_metrics.h
config_util.cc hungarian_test.cc matcher_test.cc ops tracking_metrics_test.cc
config_util.h __init__.py metrics_utils.cc python
detection_metrics.cc iou.cc metrics_utils.h test_utils.cc
./waymo_open_dataset/metrics/ops:
BUILD detection_metrics_ops.cc detection_metrics_ops_test.py __init__.py metrics_ops.cc py_metrics_ops.py utils.cc utils.h
./waymo_open_dataset/metrics/python:
BUILD config_util_py.py config_util_test.py detection_metrics.py detection_metrics_test.py __init__.py
./waymo_open_dataset/metrics/tools:
BUILD compute_detection_metrics_main.cc fake_ground_truths.bin fake_predictions.bin
./waymo_open_dataset/protos:
breakdown.proto BUILD metrics.proto
./waymo_open_dataset/__pycache__:
dataset_pb2.cpython-37.pyc __init__.cpython-37.pyc label_pb2.cpython-37.pyc
./waymo_open_dataset/utils:
box_utils.py BUILD __pycache__ range_image_utils_test.py transform_utils.py
box_utils_test.py __init__.py range_image_utils.py test_utils.py transform_utils_test.py
./waymo_open_dataset/utils/__pycache__:
__init__.cpython-37.pyc range_image_utils.cpython-37.pyc transform_utils.cpython-37.pyc
(pytorch) ***/repositories/waymo-open-dataset (r1.0)
$ bazel build ...
$TEST_TMPDIR defined: output root default is '****/apps/bazel/tmp/' and max_idle_secs default is '15'.
Starting local Bazel server and connecting to it...
WARNING: Usage: bazel build <options> <targets>.
Invoke `bazel help build` for full description of usage and options.
Your request is correct, but requested an empty set of targets. Nothing will be built.
INFO: Analyzed 0 targets (0 packages loaded, 0 targets configured).
INFO: Found 0 targets...
INFO: Deleting stale sandbox base *****/7949466ed62fa6a3ae0dd7b5ff840d35/sandbox
INFO: Elapsed time: 1.104s, Critical Path: 0.01s
INFO: 0 processes.
INFO: Build completed successfully, 1 total action
from waymo-open-dataset.
I've found the following related issue under tensorflow github issues:
Maybe give it a try?
If you can tell me how to reproduce, i can help more
from waymo-open-dataset.
I read through the issue you mentioned, but I don't think it is related.
But now I also know why it didn't work, it was my mistake, I created this helper function in my .bashaliases
function bazel
{
/path/to/bazel/executable/bazel-0.28.0-linux-x86_64 $1
}
instead of an alias like this
alias bazel='/path/to/bazel/executable/bazel-0.28.0-linux-x86_64'
So now it works, sorry that I bothered you.
from waymo-open-dataset.
Related Issues (20)
- I want to locate intersection in google map but donot have the origin for global coordinates HOT 1
- the collection time span of the data in the Waymo Open Motion Dataset
- Something is wrong when logging in the website. HOT 2
- How should I project the lidar data to the camera image with the depth in v2? HOT 1
- Unable to install the waymo-open-dataset package
- Does Waymo provides the geographic coordinates (latitude, longitude, altitude) of the starting point (origin) of each segment
- Are testing and testing_location disjoint or do they have some overlap? For context, whatβs the difference between the two folders?
- Perception Dataset V201 Lidar Timestamp Issue HOT 1
- protoc failed: error executing command HOT 2
- Are the timestamps for traffic signals synchronized with the timestamps for vehicle HOT 1
- Are the heading values of tracks in waymo motion dataset already normalized? HOT 1
- Cannot click to agree on the license when downloading the dataset HOT 1
- Efficiently loading Waymo raw data? HOT 3
- Camera extrinsics per frame (to get global frame coordinates)
- KeyFrames Sampling Rate
- 3D bounding box detection [VIDEO]
- Issue with convert_range_image_to_point_cloud HOT 1
- Unkown worng of WOSAC submission HOT 6
- How can i get the compute_detection_metrics_main with the new version of the library?
- `waymo-open-dataset-tf-2-12-0` cannot install under Python 3.11
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
π 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. πππ
-
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 β€οΈ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from waymo-open-dataset.