uwdb / visualroad Goto Github PK
View Code? Open in Web Editor NEWVisual Road: A Video Data Management Benchmark
Home Page: http://visualroad.uwdb.io
License: MIT License
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arruda danhlephuoc graceqi tiantuxu ne1114 esaurez georgia-tech-db pratyushiitd aastha01chauhanvisualroad's Issues
latest package opencv-python error: ModuleNotFoundError: No module named 'skbuild'
Line 74 in dd6c20d
Line 75 in dd6c20d
change L74 and L75 to:
RUN pip2 install --user pyyaml opencv-python==4.0.1.24 psutil & \ pip3 install --user pyyaml opencv-python==4.0.1.24 psutil
Due to the following error in the latest package opevcv-python
https://pypi.org/project/opencv-python/
1K-Short-2
| Parameter | Value |
|---|---|
| Name | 1K-Short-2 |
| Benchmark version | 1.0 |
| Dataset version | 1.0 |
| Seed | 0x75BCD15 |
| Scale | 2 |
| Resolution | 960 x 540 |
| Duration | 15 |
| Download link | http://homes.cs.washington.edu/~bhaynes/datasets/short-1k-2.tar.gz |
Comments:
Need a tutorial for Vehicle tracking query (Q8)
Hello, I am attracted by the vehicle tracking query mentioned in the paper visualroad. I have several questions and hope to be answered.
I want to know all the vehicle tracks in the dataset, when does a vehicle pass by a camera, eg vehicle_id1 passes by camera_id3 during time 150s to 160s, vehicle_id1 passes by camera_id8 during time 230s to 225s. During the time 160s to 230s, vehicle_id1 is on the road so that no camera records it.
So I have the following questions:
- During the Dataset Generator process, whether the tracks of each vehicle are recorded into a text file.
- Whether the bounding boxes of each vehicle in every frame are recorded into a text file.
I would feel honored to get a reply.
Need google drive link for pregenerated datasets
When I visit the home web https://db.cs.washington.edu/projects/visualroad/ trying to download the pregenerated datasets, I find that only the dataset 1K-Long-4 is available.
The other four datasets located on http://homes.cs.washington.edu/~bhaynes/datasets are unable to download.
Would you please share a google drive link for those datasets? Thank you so much.
Annotations files for Pregenerated Datasets?
Hi visualroad team,
As described on your project website, "Visual Road's video data is automatically generated with a high degree of realism, and annotated using a modern simulation and visualization engine" . I downloaded the videos/Pregenerated Datasets here but I can not find the annotations files, could you please provide me those annotations files?
Thank you very much!
Question about ue4-docker version and build parameters
Hello, I just found out this great project, but I noticed that it doesn't specify which version of the ue4-docker Python package it is using, neither what configuration was used to generate the image adamrehn/ue4-engine:4.22.0 that you are using in your Dockerfile.
I would guest that this is the ue4-engine only image (https://adamrehn.com/docs/ue4-docker/building-images/available-container-images#ue4-engine) build with CUDA instead of OpenGL (I noticed that the nvidia runtime is specified in the dockerfile), is this correct?
And if using CUDA, what was the version used?
Sorry for all the questions, and thank you for this great work.
2K-Short-2
| Parameter | Value |
|---|---|
| Name | 1K-Short-2 |
| Benchmark version | 1.0 |
| Dataset version | 1.0 |
| Seed | 0x75BCD15 |
| Scale | 2 |
| Resolution | 1920 x 1080 |
| Duration | 15 |
| Download link | http://homes.cs.washington.edu/~bhaynes/datasets/short-2k-2.tar.gz |
How to generate ground-truth/bounding box of vehicle/pedestrian along with generating video in generator.py?
Hi, As you mentioned in your paper, that we could get the ground-truth/bounding box from the video, so how can I generate it?
Please show me the command or some needed modification/configuration to generate it if possible! Thank you very much!
Traffic deadlock on some maps when #vehicles is large
On some configurations containing very large numbers of vehicles, a "traffic deadlock" can occur where no vehicle makes progress. When no camera observes the stationary vehicles, this may appear as if the vehicles have vanished (especially when no pedestrians are present).
Reported by Chris Liu @ HKU.
4k-Short-1
| Parameter | Value |
|---|---|
| Name | 4k-short-1 |
| Benchmark version | 1.0 |
| Dataset version | 1.0 |
| Seed | 0x00181CD |
| Scale | 1 |
| Resolution | 960 x 540 |
| Duration | 15 |
| Download link | link |
Docker build visualroad fails
I have been trying to setup visualroad for synthetic dataset generation.
I completed all the steps till the part where I run the generator service, which fails as:
anip@blade:~/codes/visualroad$ docker-compose run generator --scale 1 my-dataset
Pulling generator (visualroad/core:latest)...
ERROR: pull access denied for visualroad/core, repository does not exist or may require 'docker login': denied: requested access to the resource is denied
Can anyone help me with this? Is it due to some access issue.
EDIT 1):
Looks like the issue was because the docker build docker build -t visualroad/core . did not execute successfully. It fails in one of the steps like:
[2/2] cd /home/ue4/carla/Build/llvm-7.0-build/projects/libcxx/lib && /usr/bin/cmake -DCMAKE_INSTALL_COMPONENT=cxx -P /home/ue4/carla/Build/llvm-7.0-build/projects/libcxx/cmake_install.cmake
-- Install configuration: "RelWithDebInfo"
-- Installing: /home/ue4/carla/Build/llvm-7.0-install/lib/libc++.so.1.0
-- Installing: /home/ue4/carla/Build/llvm-7.0-install/lib/libc++.so.1
-- Installing: /home/ue4/carla/Build/llvm-7.0-install/lib/libc++.so
-- Installing: /home/ue4/carla/Build/llvm-7.0-install/lib/libc++.a
[1/2] Linking CXX static library lib/libc++abi.a
[2/2] cd /home/ue4/carla/Build/llvm-7.0-build/projects/libcxxabi/src && /usr/bin/cmake -DCMAKE_INSTALL_COMPONENT=cxxabi -P /home/ue4/carla/Build/llvm-7.0-build/projects/libcxxabi/cmake_install.cmake
-- Install configuration: "RelWithDebInfo"
-- Installing: /home/ue4/carla/Build/llvm-7.0-install/lib/libc++abi.so.1.0
-- Installing: /home/ue4/carla/Build/llvm-7.0-install/lib/libc++abi.so.1
-- Installing: /home/ue4/carla/Build/llvm-7.0-install/lib/libc++abi.so
-- Installing: /home/ue4/carla/Build/llvm-7.0-install/lib/libc++abi.a
Setup.sh: Retrieving boost.
--2022-04-01 14:16:52-- https://dl.bintray.com/boostorg/release/1.69.0/source/boost_1_69_0.tar.gz
Resolving dl.bintray.com (dl.bintray.com)... 35.161.19.108, 35.83.99.37
Connecting to dl.bintray.com (dl.bintray.com)|35.161.19.108|:443... connected.
HTTP request sent, awaiting response... 502 Bad Gateway
2022-04-01 14:16:52 ERROR 502: Bad Gateway.
Util/BuildTools/Linux.mk:110: recipe for target 'setup' failed
make: *** [setup] Error 8
The command '/bin/sh -c git clone https://github.com/carla-simulator/carla $CARLA_PATH && cd $CARLA_PATH && git checkout $CARLA_VERSION && ./Update.sh && make package' returned a non-zero code: 2
It looks like the build is trying to access an outdated bintray link. Any help would be appreciated. Thanks.
Future plans on implementation of query verifiers
I am currently trying to test queries in offline settings.
While looking into verifier.py I realized few functions(q2c, q3, q6a, q6b/ q7~10) haven't been implemented yet.
Would it be possible to know any future plans for those verifier functions, if any?
Best regards
Issue when generating dataset with scale=2
Hi,
Thanks for the great work!
Recently I've been working on processing specific queries on videos and I would like to use your generator as a benchmark. However, when I try to generator the dataset with scale=2, it stopped during generation and gave me an error.
Could you please help me out? Am I missing something? Many thanks!
The command I am using is sudo docker-compose run generator --scale 2 dataset-test-2
The output is:
4.22.0-0+++UE4+Release-4.22 517 0
Disabling core dumps.
INFO:root:Map: Town03, Weather: WeatherParameters(cloudyness=80.000000, precipitation=60.000000, precipitation_deposits=100.000000, wind_intensity=1.000000, sun_azimuth_angle=0.000000, sun_altitude_angle=15.000000), Vehicles: 200, Walkers: 250
INFO:root:Tile 1 of 2: Rendered 0 frames; 900 remaining (0.0 FPS)
INFO:root:Tile 1 of 2: Rendered 0 frames; 900 remaining (0.0 FPS)
INFO:root:Tile 1 of 2: Rendered 0 frames; 900 remaining (0.0 FPS)
INFO:root:Tile 1 of 2: Rendered 0 frames; 900 remaining (0.0 FPS)
INFO:root:Tile 1 of 2: Rendered 0 frames; 900 remaining (0.0 FPS)
INFO:root:Tile 1 of 2: Rendered 0 frames; 900 remaining (0.0 FPS)
INFO:root:Tile 1 of 2: Rendered 0 frames; 900 remaining (0.0 FPS)
INFO:root:Tile 1 of 2: Rendered 0 frames; 900 remaining (0.0 FPS)
INFO:root:Tile 1 of 2: Rendered 0 frames; 900 remaining (0.0 FPS)
INFO:root:Tile 1 of 2: Rendered 0 frames; 900 remaining (0.0 FPS)
INFO:root:Tile 1 of 2: Rendered 8 frames; 892 remaining (0.2 FPS)
INFO:root:Tile 1 of 2: Rendered 18 frames; 882 remaining (0.3 FPS)
INFO:root:Tile 1 of 2: Rendered 28 frames; 872 remaining (0.5 FPS)
INFO:root:Tile 1 of 2: Rendered 38 frames; 862 remaining (0.6 FPS)
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INFO:root:Tile 1 of 2: Rendered 58 frames; 842 remaining (0.8 FPS)
INFO:root:Tile 1 of 2: Rendered 68 frames; 832 remaining (0.9 FPS)
INFO:root:Tile 1 of 2: Rendered 78 frames; 822 remaining (1.0 FPS)
INFO:root:Tile 1 of 2: Rendered 88 frames; 812 remaining (1.0 FPS)
INFO:root:Tile 1 of 2: Rendered 98 frames; 802 remaining (1.1 FPS)
INFO:root:Tile 1 of 2: Rendered 108 frames; 792 remaining (1.1 FPS)
INFO:root:Tile 1 of 2: Rendered 118 frames; 782 remaining (1.2 FPS)
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INFO:root:Tile 1 of 2: Rendered 138 frames; 762 remaining (1.3 FPS)
INFO:root:Tile 1 of 2: Rendered 148 frames; 752 remaining (1.3 FPS)
INFO:root:Tile 1 of 2: Rendered 158 frames; 742 remaining (1.4 FPS)
INFO:root:Tile 1 of 2: Rendered 168 frames; 732 remaining (1.4 FPS)
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INFO:root:Tile 1 of 2: Rendered 198 frames; 702 remaining (1.5 FPS)
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INFO:root:Tile 1 of 2: Rendered 238 frames; 662 remaining (1.6 FPS)
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INFO:root:Tile 1 of 2: Rendered 258 frames; 642 remaining (1.6 FPS)
INFO:root:Tile 1 of 2: Rendered 268 frames; 632 remaining (1.6 FPS)
INFO:root:Tile 1 of 2: Rendered 278 frames; 622 remaining (1.6 FPS)
INFO:root:Tile 1 of 2: Rendered 288 frames; 612 remaining (1.7 FPS)
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INFO:root:Tile 1 of 2: Rendered 368 frames; 532 remaining (1.8 FPS)
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INFO:root:Tile 1 of 2: Rendered 668 frames; 232 remaining (2.0 FPS)
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INFO:root:Tile 1 of 2: Rendered 868 frames; 32 remaining (2.0 FPS)
INFO:root:Tile 1 of 2: Rendered 878 frames; 22 remaining (2.0 FPS)
INFO:root:Tile 1 of 2: Rendered 888 frames; 12 remaining (2.0 FPS)
INFO:root:Tile 1 of 2: Rendered 898 frames; 2 remaining (2.0 FPS)
INFO:root:Tile 1 of 2: Rendered 908 frames; -8 remaining (2.0 FPS)
INFO:root:Destroying actors
INFO:root:Generation complete for tile 0
INFO:root:Map: Town07, Weather: WeatherParameters(cloudyness=80.000000, precipitation=30.000000, precipitation_deposits=50.000000, wind_intensity=0.400000, sun_azimuth_angle=0.000000, sun_altitude_angle=75.000000), Vehicles: 100, Walkers: 400
Traceback (most recent call last):
File "/app/generator.py", line 409, in <module>
generate(args.path, tile_pool, args.scale, (args.width, args.height), args.duration, args.fov, args.seed)
File "/app/generator.py", line 345, in generate
generate_tile(client, path, id, used_tiles[-1], scale, resolution, duration, panorama_fov)
File "/app/generator.py", line 232, in generate_tile
client.load_world(tile.map)
RuntimeError: map not found
FUnixPlatformMisc::RequestExitWithStatus
FUnixPlatformMisc::RequestExit
The generated configuration file is
duration: 30
hostname: localhost
name: dataset-test-2
panorama_fov: null
port: 2000
resolution:
height: 540
width: 960
scale: 2
seed: 0
tiles:
- cameras:
- type: traffic
videos:
- /app/dataset-test-2/traffic-000.mp4
- type: traffic
videos:
- /app/dataset-test-2/traffic-001.mp4
- type: traffic
videos:
- /app/dataset-test-2/traffic-002.mp4
- type: traffic
videos:
- /app/dataset-test-2/traffic-003.mp4
- type: panoramic
videos:
- /app/dataset-test-2/panoramic-000-000.mp4
- /app/dataset-test-2/panoramic-000-001.mp4
- /app/dataset-test-2/panoramic-000-002.mp4
- /app/dataset-test-2/panoramic-000-003.mp4
id: 0
map: Town03
pedestrians: 250
vehicles: 200
weather: WeatherParameters(cloudyness=80.000000, precipitation=60.000000, precipitation_deposits=100.000000,
wind_intensity=1.000000, sun_azimuth_angle=0.000000, sun_altitude_angle=15.000000)
- cameras:
- type: traffic
videos:
- /app/dataset-test-2/traffic-004.mp4
- type: traffic
videos:
- /app/dataset-test-2/traffic-005.mp4
- type: traffic
videos:
- /app/dataset-test-2/traffic-006.mp4
- type: traffic
videos:
- /app/dataset-test-2/traffic-007.mp4
- type: panoramic
videos:
- /app/dataset-test-2/panoramic-001-000.mp4
- /app/dataset-test-2/panoramic-001-001.mp4
- /app/dataset-test-2/panoramic-001-002.mp4
- /app/dataset-test-2/panoramic-001-003.mp4
id: 1
map: Town07
pedestrians: 400
vehicles: 100
weather: WeatherParameters(cloudyness=80.000000, precipitation=30.000000, precipitation_deposits=50.000000,
wind_intensity=0.400000, sun_azimuth_angle=0.000000, sun_altitude_angle=75.000000)
timeout: 30
version: 1.0
Command line switches to override #vehicles and #pedestrians
Question on Verifying Query Results
Hi there, I've managed to generate a simple 3 seconds simulation, and the driver output, to tests things out. But when got to the Verifying Query Results I've noticed that there's no verifier.py file.
Maybe it was not committed to the repository?
Thanks
Benchmark configuration
| Parameter | Value |
|---|---|
| Name | 1K-Long-4 |
| Benchmark version | 1.0 |
| Dataset version | 1.0 |
| Seed | 0x75BCD15 |
| Scale | 4 |
| Resolution | 1K (960x540) |
| Duration | 60 |
| Download link | link |
1K-Short-1
| Parameter | Value |
|---|---|
| Name | 1K-Short-1 |
| Benchmark version | 1.0 |
| Dataset version | 1.0 |
| Seed | 0x00181CD |
| Scale | 1 |
| Resolution | 960 x 540 |
| Duration | 15 |
| Download link | http://homes.cs.washington.edu/~bhaynes/datasets/short-1k.tar.gz |
VDBMS Benchmarking Implementations
As mentioned in the paper, I wanted to find out the implementations for the vdbms queries' benchmarking done for systems such as Scanner, LightDB and NoScope.
Error while generating the video
Hello, first of all thank you for your amazing work.
I have been trying to generate some visualroad data following the steps listed in github.
However, while running the 'docker-compose run generator --scale 1 my-dataset' command I am facing some issues.
FULL OUTPUT OF ue4-docker info :
ue4-docker version: 0.0.62 (latest available version is 0.0.62)
Operating system: Linux (Ubuntu 18.04.4 LTS, 5.3.0-46-generic)
Docker daemon version: 19.03.8
NVIDIA Docker supported: No
Maximum image size: No limit detected
Available disk space: 99.22 GiB
Total system memory: 15.59 GiB physical, 2 GiB virtual
Number of processors: 4 physical, 8 logical
FULL OUTPUT OF docker-compose run generator --scale 1 my-dataset
error: XDG_RUNTIME_DIR not set in the environment.
Signal 11 caught.
Malloc Size=65538 LargeMemoryPoolOffset=65554
Malloc Size=65535 LargeMemoryPoolOffset=131119
Malloc Size=48848 LargeMemoryPoolOffset=179984
4.22.0-0+++UE4+Release-4.22 517 0
Disabling core dumps.
CommonUnixCrashHandler: Signal=11
Engine crash handling finished; re-raising signal 11 for the default handler. Good bye.
INFO:root:Map: Town03, Weather: WeatherParameters(cloudyness=80.000000, precipitation=60.000000, precipitation_deposits=100.000000, wind_intensity=1.000000, sun_azimuth_angle=0.000000, sun_altitude_angle=15.000000), Vehicles: 200, Walkers: 250
Traceback (most recent call last):
File "./generator.py", line 425, in <module>
generate(args.path, tile_pool, args.scale, (args.width, args.height), args.duration, args.fov, args.seed, args.vehicles, args.pedestrians)
File "./generator.py", line 349, in generate
generate_tile(client, path, id, used_tiles[-1], scale, resolution, duration, panorama_fov)
File "./generator.py", line 232, in generate_tile
client.load_world(tile.map)
RuntimeError: time-out of 30000ms while waiting for the simulator, make sure the simulator is ready and connected to localhost:2000
Would there be any suggestions on how to fix this issue, please?
Best regards.
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