Comments (3)
I had the same problem under Windows 10 with cartopy and mayavi.
I found a solution that worked for me.
First I tried to install the packages with conda (this didn't work for me):
cd C:\{...}\ImageBind-main
conda install -c conda-forge cartopy
conda install -c conda-forge mayavi
The dependency solver was extremely slow.
Therefore, I installed Miniforge to use mamba, instead of conda. With mamba the dependency solver seems to be faster.
After installing Miniforge, I used the following commands (replace {user} with your Windows user name in the instructions below):
cd C:\{...}\ImageBind-main
mamba init
( You may have to add the mamba path to your system variables, the path should be located here: C:\Users\{user}\AppData\Local\miniforge3\Scripts\mamba.exe )
( You also may have to deactivate conda with "conda deactivate" first to make this work )
mamba create -n imagebind python=3.8 -y
mamba activate imagebind
mamba install -c conda-forge cartopy
mamba install -c conda-forge mayavi
pip install soundfile
(if you don't install this under Windows, you could get the error "No audio I/O backend is available" when running the Python example)
pip install .
If you're using VSCode, you need to select the Python environment:
Select Interpreter -> Enter interpreter path... -> "C:\Users{user}\AppData\Local\miniforge3\envs\imagebind"
You can get the location of your mamba environments using the command:
mamba env list
from imagebind.
Thanks! This also helps on MacOS (M2).
from imagebind.
Related Issues (20)
- 多模态数据对
- `load_and_transform_text` method exec failed HOT 1
- Something wrong with EncodedVideo in load_and_transform_video_data HOT 2
- 预训练模型的输出问题
- Custom sensor as one of the multimodality? HOT 1
- Question regarding SelectElement(index=0) in the modality heads HOT 1
- Using Depth Embeddings in NyuV2 Zero-Shot Classification HOT 4
- Directly using images from S3 bucket using URL.
- Can Inference Time Be Improved by Using ONNX Model? HOT 1
- Same vector embedding output for different text inputs HOT 3
- Inconsistent Statement Regarding Experiments on NYU-Depth-v2 HOT 2
- Checkpoints for small/medium model
- Imagebind for commercial purposes
- Simply replacing Detic's CLIP-based ‘class’ enbedding with imagebind audio embedding HOT 1
- How to use ImageBind to locate sound sources in video?
- 3 and more modalities in one model HOT 1
- What is your perspective on LanguageBind surpassing ImageBind? HOT 1
- Questions for demo sites audio and image data usage.
- Initialization of Thermal backbone
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 imagebind.