Use line image extractor from PyPi instead of submodule

.gitmodules

-[submodule "line_image_extractor"]
-	path = teklia_line_image_extractor
-	url = ../line_image_extractor.git

Dockerfile

@@ -9,6 +9,5 @@ WORKDIR /src
 
 # Install DAN as a package
 COPY dan dan
-COPY teklia_line_image_extractor teklia_line_image_extractor
 COPY requirements.txt *-requirements.txt setup.py VERSION README.md ./
 RUN pip install . --no-cache-dir

README.md

@@ -2,26 +2,6 @@
 
 [![Python >= 3.10](https://img.shields.io/badge/Python-%3E%3D3.10-blue.svg)](https://www.python.org/downloads/release/python-3100/)
 
-## Documentation
-
-To use DAN in your own environment, you need to first clone with its submodules via:
-
-```shell
-git clone --recurse-submodules git@gitlab.teklia.com:atr/dan.git
-```
-
-If you forgot the `--recurse-submodules`, you can initialize the submodule using:
-
-```shell
-git submodule update --init
-```
-
-Then you can install it via pip:
-
-```shell
-pip install -e .
-```
-
 For more details about this package, make sure to see the documentation available at <https://atr.pages.teklia.com/dan/>.
 
 ## Development
@@ -76,7 +56,7 @@ To apply DAN to an image, one needs to first add a few imports and to load an im
 
 ```python
 import cv2
-from dan.ocr.predict import DAN
+from dan.ocr.predict.prediction import DAN
 
 image = cv2.cvtColor(cv2.imread(IMAGE_PATH), cv2.COLOR_BGR2RGB)
 ```
@@ -110,10 +90,6 @@ See the [dedicated section](https://atr.pages.teklia.com/dan/get_started/trainin
 
 See the [dedicated section](https://atr.pages.teklia.com/dan/usage/datasets/extract/) on the official DAN documentation.
 
-### Dataset formatting
-
-See the [dedicated section](https://atr.pages.teklia.com/dan/usage/datasets/format/) on the official DAN documentation.
-
 ### Model training
 
 See the [dedicated section](https://atr.pages.teklia.com/dan/usage/train/) on the official DAN documentation.

requirements.txt

--e ./teklia_line_image_extractor
 albumentations==1.3.1
 arkindex-export==0.1.7
 boto3==1.26.124
@@ -10,6 +9,7 @@ numpy==1.24.3
 prettytable==3.8.0
 PyYAML==6.0
 scipy==1.10.1
+teklia-line-image-extractor==0.2.8rc4
 tenacity==8.2.3
 tensorboard==2.12.2
 torch==2.0.0

teklia_line_image_extractor @ 3c0ed7cf

-Subproject commit 3c0ed7cfca9d16110bb44620fecf5e4e71e218a2