Metadata-Version: 2.4
Name: ecos_core
Version: 2.0.0
Summary: description
Requires-Dist: boto3
Requires-Dist: torch>=2.5.1
Requires-Dist: Pillow
Requires-Dist: torchvision>=0.20.1
Requires-Dist: timm
Requires-Dist: opencv-python-headless==4.8.0.74
Requires-Dist: pyyaml
Requires-Dist: pandas
Requires-Dist: matplotlib
Requires-Dist: numpy
Requires-Dist: scikit-learn
Requires-Dist: wget
Requires-Dist: supervision==0.6.0
Requires-Dist: easydict
Requires-Dist: ultralytics>=8.4.6
Requires-Dist: onnxruntime
Requires-Dist: faiss-cpu
Requires-Dist: antialiased-cnns
Requires-Dist: ttach
Requires-Dist: notebook
Requires-Dist: groundingdino-py
Requires-Dist: rembg
Requires-Dist: scipy
Requires-Dist: tqdm
Requires-Dist: paddlepaddle-gpu==3.2.2
Requires-Dist: paddleocr[all]
Requires-Dist: pyzbar
Requires-Dist: qrdet
Dynamic: description
Dynamic: requires-dist
Dynamic: summary

# Installation
1. git clone the repository 
2. run
```
cd ECOS_AI-dev
python setup.py install
```

or install:
```
cd ECOS_AI-dev
pip install -e . --index-url https://download.pytorch.org/whl/cu118 --index-url https://www.paddlepaddle.org.cn/packages/stable/cu118/
```

or install from branch/tag:
```
pip install git+https://YOUR_USERNAME:YOUR_TOKEN@github.com/HACHIX-CORPORATION/ECOS_AI-dev@<release_tag_or_branch_name> --index-url https://download.pytorch.org/whl/cu118 --index-url https://www.paddlepaddle.org.cn/packages/stable/cu118/
```

# Getting started
For using ECOS core in the python script:
```
import ecos_core as core 
```

# Datasets

Download train data from s3
s3://ecos-ai-test-upload/data/train.zip

Reports:
https://drive.google.com/drive/folders/1PY_ElJ58nRDeJomukNP0V-DHLTRV9rLt?usp=share_link

Copy to folder yolo5/train

# For developer

1. Development PC
Anydesk:
- ID: 516 921 525 (NGOT-BAND)
- Login Password: abc1234gogo
- Root User Password: hachix

2. Install & create virtual env in anaconda
3. Install dependencies:
```
pip install -r requirements.txt
```

4. Create zip for deployment:
```
python setup.py sdist --formats=zip
```
5. Install from zip archive:
```
pip install ecos_core-<version>.zip 
```

After install `ecos_core`, please install this library(to fix version incompatibility):
```
pip install supervision==0.17.0
```
# Create documents
## Installation
```
pip install mkdocs
```

## Install dependency
```
cd docs
pip install -r requirements.txt
```

## Build documentation
```
mkdocs build
```

## RUN Local Documentation
```
mkdocs serve
```

## Deployment
Copy the `site/` folder into appropriate S3 bucket

# License
ECOS_CORE is currently in internal testing state. The library should not be shared without permission from HACHIX Corp.
