7/27/21

README.md

@@ -99,6 +99,64 @@ More demonstration videos (older version of the program):
 
 ![Coast Train example 2](https://raw.githubusercontent.com/dbuscombe-usgs/dash_doodler/main/assets/logos/doodler-demo-2-9-21-short-coast2.gif)
 
+<!--
+## Docker workflows
+
+```
+sudo docker pull mardascience/dash_doodler:d1
+```
+
+```
+sudo docker volume create doodler_data
+sudo docker run -p 8050:8050 mardascience/dash_doodler:d1
+sudo docker volume inspect doodler_data
+
+sudo docker volume create --driver local -o o=bind -o type=none -o device="/home/marda/test" doodler_data
+
+sudo docker run -d -p 8050:8050 --name doodler_container --mount source=doodler_data,target=/app  mardascience/dash_doodler:d1
+sudo docker inspect doodler_container
+```
+
+To build your own docker based on miniconda `continuumio/miniconda3`
+
+
+```
+cp install/Dockerfile.miniconda ./Dockerfile
+sudo docker build -t doodler_docker_image .
+```
+
+then when it has finished building, check its size
+
+```
+sudo docker image ls doodler_docker_image
+```
+
+It is large - 4.8 GB. Run it:
+
+```
+sudo docker run -p 8050:8050 -d -it --name www doodler_docker_image
+```
+
+Build with pip instead:
+
+```
+cp install/Dockerfile.pip ./Dockerfile
+sudo docker build -t doodler_docker_image_pip .
+```
+
+How large is that?
+
+```
+sudo docker image ls doodler_docker_image_pip
+```
+
+To stop and remove:
+
+```
+sudo docker stop www
+sudo docker rm www
+``` -->
+
 
 ## <a name="ack"></a>Acknowledgements
 

doodler.py

@@ -377,7 +377,7 @@ def shapes_seg_pair_as_dict(d, key, seg, remove_old=True):
                         # Slider for specifying pen width
                         dcc.Slider(
                             id="crf-downsample-slider",
-                            min=2,
+                            min=1,
                             max=6,
                             step=1,
                             value=DEFAULT_CRF_DOWNSAMPLE,
@@ -410,7 +410,7 @@ def shapes_seg_pair_as_dict(d, key, seg, remove_old=True):
                         # Slider for specifying pen width
                         dcc.Slider(
                             id="rf-downsample-slider",
-                            min=2,
+                            min=1,
                             max=20,
                             step=1,
                             value=DEFAULT_RF_DOWNSAMPLE,

install/Dockerfile.miniconda

@@ -0,0 +1,23 @@
+#
+FROM continuumio/miniconda3
+LABEL maintainer "Doodler, by Dr Daniel Buscombe, Marda Science/USGS <[email protected]>"
+WORKDIR /
+# The code to run when container is started:
+COPY ./ ./
+
+COPY install/dashdoodler.yml .
+RUN conda env create -f dashdoodler.yml
+
+# Make RUN commands use the new environment:
+SHELL ["conda", "run", "-n", "dashdoodler", "/bin/bash", "-c"]
+
+EXPOSE 8050/tcp
+EXPOSE 8050/udp
+EXPOSE 80
+EXPOSE 8080
+
+# set environment variables
+ENV PYTHONDONTWRITEBYTECODE 1
+ENV PYTHONUNBUFFERED 1
+
+ENTRYPOINT ["conda", "run", "--no-capture-output", "-n", "dashdoodler", "python", "doodler.py"]

my_defaults.py

@@ -1,6 +1,6 @@
 DEFAULT_PEN_WIDTH = 3
-DEFAULT_CRF_DOWNSAMPLE = 2
-DEFAULT_RF_DOWNSAMPLE = 2
+DEFAULT_CRF_DOWNSAMPLE = 1
+DEFAULT_RF_DOWNSAMPLE = 1
 DEFAULT_CRF_THETA = 1
 DEFAULT_CRF_MU = 1
 DEFAULT_CRF_GTPROB = 0.9

utils/gen_npz_4_zoo.py

@@ -68,7 +68,11 @@ def make_npz():
             data[k] = dat[k]
         del dat
 
-        classes = data['classes']
+        try:
+            classes = data['classes']
+        except:
+            classes = ['water', 'land']
+
         class_string = '_'.join([c.strip() for c in classes])
 
         savez_dict = dict()