Comments (2)
I fixed the original issue by using conda with python3.6 in addition to changing environment.yml such that pycocotools is 2.0.2 instead of 2.0.0.
However, now neptune/tiffile are asking for python >=3.7 which is a complete contradiction to the past dependencies? (handful previous wheels installed are cp36, and python is set to 3.6.8 in environment.yml)
from open-solution-mapping-challenge.
Alright I think I solved the above issue by adding scikit-learn=0.19 in environment.yml and also specifying scikit-image=0.14.2.
I also had to remove github.com/luacasb-eyer/pydensecrf.git from environment.yml and pip install it after activating the mapping environment. Here is what my environment.yml looked like in the end:
name: mapping
dependencies:
-
pip=19.1.1
-
python=3.6.8
-
psutil
-
matplotlib
-
scikit-learn=0.19
-
scikit-image=0.14.2
-
lightgbm=2.2.1
-
pip:
- click==6.7
- tqdm==4.23.0
- pydot_ng==1.0.0
- cython==0.28.2
- xgboost==0.90
- neptune-client==0.3.0
- neptune-contrib==0.9.2
- imgaug==0.2.5
- opencv_python==3.4.0.12
- torch==0.3.1
- torchvision==0.2.0
- pretrainedmodels==0.7.0
- pandas==0.24.2
- numpy==1.16.4
- pycocotools==2.0.2
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
- where to get Original Dataset? CrowdAi had been shut down HOT 3
- 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
- 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!
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 open-solution-mapping-challenge.