update ludwig

ludwig/Dockerfile

@@ -1,14 +1,4 @@
 FROM tensorflow/tensorflow:latest-py3
-
+RUN pip install ludwig[full]
-RUN apt-get -y install git
-
-RUN git clone --depth=1 https://github.com/uber/ludwig.git \
-    && cd ludwig/ \
-    && pip install -r requirements.txt -r requirements_text.txt \
-          -r requirements_image.txt -r requirements_audio.txt \
-          -r requirements_serve.txt -r requirements_viz.txt \
-    && python setup.py install
-
 WORKDIR /data
-
 ENTRYPOINT ["ludwig"]

ludwig/README.md

@@ -48,7 +48,7 @@ $ tree -L 3 data
 ├── predict.csv
 ├── train.csv
 ├── results
-│   └── experiment_run
+│   └── experiment_example
 │       ├── description.json
 │       ├── model
 │       └── training_statistics.json

ludwig/docker-compose.yml

@@ -1,24 +1,24 @@
 train:
   image: vimagick/ludwig
-  command: train --data_csv train.csv -mdf model.yaml
+  command: train --model_name example --data_csv train.csv -mdf model.yaml
   volumes:
     - ./data:/data
 
 visualize:
   image: vimagick/ludwig
-  command: visualize -v learning_curves -trs results/experiment_run/training_statistics.json -od visualize -ff png
+  command: visualize -v learning_curves -trs results/experiment_example/training_statistics.json -od visualize -ff png
   volumes:
     - ./data:/data
 
 predict:
   image: vimagick/ludwig
-  command: predict --data_csv predict.csv -m results/experiment_run/model
+  command: predict --data_csv predict.csv -m results/experiment_example/model
   volumes:
     - ./data:/data
 
 serve:
   image: vimagick/ludwig
-  command: serve -m results/experiment_run/model -p 8000
+  command: serve -m results/experiment_example/model -p 8000
   ports:
     - "8000:8000"
   volumes:

tesseract/README.md

@@ -20,8 +20,7 @@ $ tesseract input.png output -l eng --psm 3
 $ cat output.txt
 The (quick) [brown] {fox} jumps!
 
-$ tesseract chinese.jpg chinese -l chi_tra --psm 8 --oem 0
+$ tesseract chinese.jpg stdout -l chi_tra --psm 8 --oem 0
-$ cat chinese.txt
 學習
 ```