Comments (3)
@kj-lai, I downloaded all datasets here: https://www.aicrowd.com/challenges/mapping-challenge#datasets
I have Windows 10 and all works fine, here is my packages:
altair 2.3.0
asn1crypto 0.24.0
attrdict 2.0.0
attrs 19.1.0
backcall 0.1.0
boto3 1.9.228
botocore 1.12.228
bravado 10.4.1
bravado-core 5.13.2
certifi 2019.6.16
cffi 1.12.3
chardet 3.0.4
Click 7.0
cloudpickle 1.2.1
colorama 0.4.1
cryptography 2.7
cycler 0.10.0
Cython 0.28.2
cytoolz 0.10.0
dask 2.3.0
decorator 4.4.0
docutils 0.15.2
entrypoints 0.3
future 0.17.1
gitdb2 2.0.5
GitPython 3.0.2
hunter 3.1.3
hyperopt 0.1.1
idna 2.8
imageio 2.5.0
imgaug 0.2.5
ipython 7.8.0
ipython-genutils 0.2.0
jedi 0.15.1
Jinja2 2.10.1
jmespath 0.9.4
joblib 0.13.2
jsonpointer 2.0
jsonref 0.2
jsonschema 3.0.2
kiwisolver 1.1.0
labelme 3.16.7
lightgbm 2.2.1
MarkupSafe 1.1.1
matplotlib 3.1.1
mkl-fft 1.0.14
mkl-random 1.0.2
mkl-service 2.3.0
monotonic 1.5
msgpack-python 0.5.6
munch 2.3.2
neptune-client 0.3.0
neptune-contrib 0.9.2
networkx 2.3
numpy 1.16.4
nvidia-ml-py3 7.352.0
oauthlib 3.1.0
olefile 0.46
opencv-python 3.4.0.12
pandas 0.24.2
parso 0.5.1
pickleshare 0.7.5
Pillow 5.4.1
pip 19.1.1
pretrainedmodels 0.7.0
prompt-toolkit 2.0.9
psutil 5.6.3
pycocotools 2.0
pycparser 2.19
pydensecrf 1.0rc2
pydot-ng 1.0.0
Pygments 2.4.2
PyJWT 1.7.1
pymongo 3.9.0
pyparsing 2.4.2
pyrsistent 0.15.4
python-dateutil 2.8.0
python-telegram-bot 11.1.0
pytz 2019.2
PyWavelets 1.0.3
PyYAML 5.1.2
QtPy 1.9.0
requests 2.22.0
requests-oauthlib 1.2.0
retrying 1.3.3
rfc3987 1.3.8
s3transfer 0.2.1
scikit-image 0.15.0
scikit-learn 0.21.2
scikit-optimize 0.5.2
scikit-plot 0.3.7
scipy 1.3.1
seaborn 0.9.0
setuptools 41.0.1
simplejson 3.16.0
six 1.12.0
smmap2 2.0.5
strict-rfc3339 0.7
swagger-spec-validator 2.4.3
termcolor 1.1.0
toolz 0.10.0
torch 1.0.1
torchvision 0.2.0
tornado 6.0.3
tqdm 4.23.0
traitlets 4.3.2
typing-extensions 3.7.4
urllib3 1.25.3
vega 2.6.0
wcwidth 0.1.7
webcolors 1.10
websocket-client 0.56.0
wheel 0.33.4
wincertstore 0.2
xgboost 0.90
from open-solution-mapping-challenge.
anyone can share the dataset? I can not get the dataset from aicrowd either. thx
from open-solution-mapping-challenge.
Thank
@kj-lai, I downloaded all datasets here: https://www.aicrowd.com/challenges/mapping-challenge#datasets
I have Windows 10 and all works fine, here is my packages:
altair 2.3.0
asn1crypto 0.24.0
attrdict 2.0.0
attrs 19.1.0
backcall 0.1.0
boto3 1.9.228
botocore 1.12.228
bravado 10.4.1
bravado-core 5.13.2
certifi 2019.6.16
cffi 1.12.3
chardet 3.0.4
Click 7.0
cloudpickle 1.2.1
colorama 0.4.1
cryptography 2.7
cycler 0.10.0
Cython 0.28.2
cytoolz 0.10.0
dask 2.3.0
decorator 4.4.0
docutils 0.15.2
entrypoints 0.3
future 0.17.1
gitdb2 2.0.5
GitPython 3.0.2
hunter 3.1.3
hyperopt 0.1.1
idna 2.8
imageio 2.5.0
imgaug 0.2.5
ipython 7.8.0
ipython-genutils 0.2.0
jedi 0.15.1
Jinja2 2.10.1
jmespath 0.9.4
joblib 0.13.2
jsonpointer 2.0
jsonref 0.2
jsonschema 3.0.2
kiwisolver 1.1.0
labelme 3.16.7
lightgbm 2.2.1
MarkupSafe 1.1.1
matplotlib 3.1.1
mkl-fft 1.0.14
mkl-random 1.0.2
mkl-service 2.3.0
monotonic 1.5
msgpack-python 0.5.6
munch 2.3.2
neptune-client 0.3.0
neptune-contrib 0.9.2
networkx 2.3
numpy 1.16.4
nvidia-ml-py3 7.352.0
oauthlib 3.1.0
olefile 0.46
opencv-python 3.4.0.12
pandas 0.24.2
parso 0.5.1
pickleshare 0.7.5
Pillow 5.4.1
pip 19.1.1
pretrainedmodels 0.7.0
prompt-toolkit 2.0.9
psutil 5.6.3
pycocotools 2.0
pycparser 2.19
pydensecrf 1.0rc2
pydot-ng 1.0.0
Pygments 2.4.2
PyJWT 1.7.1
pymongo 3.9.0
pyparsing 2.4.2
pyrsistent 0.15.4
python-dateutil 2.8.0
python-telegram-bot 11.1.0
pytz 2019.2
PyWavelets 1.0.3
PyYAML 5.1.2
QtPy 1.9.0
requests 2.22.0
requests-oauthlib 1.2.0
retrying 1.3.3
rfc3987 1.3.8
s3transfer 0.2.1
scikit-image 0.15.0
scikit-learn 0.21.2
scikit-optimize 0.5.2
scikit-plot 0.3.7
scipy 1.3.1
seaborn 0.9.0
setuptools 41.0.1
simplejson 3.16.0
six 1.12.0
smmap2 2.0.5
strict-rfc3339 0.7
swagger-spec-validator 2.4.3
termcolor 1.1.0
toolz 0.10.0
torch 1.0.1
torchvision 0.2.0
tornado 6.0.3
tqdm 4.23.0
traitlets 4.3.2
typing-extensions 3.7.4
urllib3 1.25.3
vega 2.6.0
wcwidth 0.1.7
webcolors 1.10
websocket-client 0.56.0
wheel 0.33.4
wincertstore 0.2
xgboost 0.90
Thank you for your reply, just found out that AiCrowd is the new CrowdAi, haha
from open-solution-mapping-challenge.
Related Issues (20)
- File b'data/meta/metadata.csv' does not exist: b'data/meta/metadata.csv' HOT 1
- AttributeError: 'StdOutWithUpload' object has no attribute 'fileno' HOT 1
- transformer aren't generate HOT 2
- Why droping small masks on the edge works HOT 1
- Dataset cant' be reachable anymore HOT 4
- Using model weights on own dataset HOT 26
- evaluate:valid data is none?
- Confused about generating target masks HOT 5
- Error when running Evaluate : axis 1 is out of bounds for array of dimension 0 HOT 21
- Use the Mapping-Challenge-weights to predict on my own data HOT 17
- KeyError: 'inference' when applying solution weight to my data HOT 11
- Transfer learning using the available weights HOT 3
- Transfer learning using the available weights
- FileNotFoundError: [Errno 2] No such file or directory: 'data/meta\\masks_overlayed_eroded_0_dilated_0\\train\\masks\\000000150992 HOT 3
- Pip subprocess error related to pycocotools when running 'source Makefile' HOT 2
- Adjusting 'Confidence' when Predicting on New Data
- The runtime encountered a problem HOT 1
- Segment Mask not visible on custom data
- Model weights for the winning solution is not available!
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from open-solution-mapping-challenge.