Merge pull request #46 from robmarkcole/add-debug

add debug mode

README.md

@@ -21,6 +21,7 @@ The `deepstack-ui` is designed to be run in a docker container. The UI picks up
 - DEEPSTACK_API_KEY : the API key of your deepstack instance, if you have set one
 - DEEPSTACK_TIMEOUT : the timeout to wait for deepstack, default 30 seconds
 - DEEPSTACK_CUSTOM_MODEL : the name of a custom model, if you wish to use one
+- DEEPSTACK_UI_DEBUG_MODE : options `True` or `False` (default). Lowers the minimum confidence threshold to 1%
 ```
 
 From the root dir, build the deepstack-ui container from source and then run the UI, passing the `DEEPSTACK_IP` environment variable:

app/deepstack-ui.py

@@ -9,9 +9,21 @@
 import utils
 import const
 
-DEFAULT_CONFIDENCE_THRESHOLD = 0.45
-MIN_CONFIDENCE_THRESHOLD = 0.1
+## Depstack setup
+DEEPSTACK_IP = os.getenv("DEEPSTACK_IP", "localhost")
+DEEPSTACK_PORT = os.getenv("DEEPSTACK_PORT", 80)
+DEEPSTACK_API_KEY = os.getenv("DEEPSTACK_API_KEY", "")
+DEEPSTACK_TIMEOUT = int(os.getenv("DEEPSTACK_TIMEOUT", 30))
+DEEPSTACK_CUSTOM_MODEL = os.getenv("DEEPSTACK_CUSTOM_MODEL", None)
+DEEPSTACK_UI_DEBUG_MODE = bool(os.getenv("DEEPSTACK_UI_DEBUG_MODE", False))
+
+if DEEPSTACK_UI_DEBUG_MODE:
+    st.title("IN DEEPSTACK_UI_DEBUG_MODE")
+    MIN_CONFIDENCE_THRESHOLD = 0.01
+else:
+    MIN_CONFIDENCE_THRESHOLD = 0.1
 MAX_CONFIDENCE_THRESHOLD = 1.0
+DEFAULT_CONFIDENCE_THRESHOLD = 0.45
 OBJECT_TEST_IMAGE = "street.jpg"
 FACE_TEST_IMAGE = "faces.jpg"
 FACE = "Face"
@@ -28,12 +40,6 @@
     DEFAULT_ROI_X_MAX,
 )
 
-## Depstack setup
-DEEPSTACK_IP = os.getenv("DEEPSTACK_IP", "localhost")
-DEEPSTACK_PORT = os.getenv("DEEPSTACK_PORT", 80)
-DEEPSTACK_API_KEY = os.getenv("DEEPSTACK_API_KEY", "")
-DEEPSTACK_TIMEOUT = int(os.getenv("DEEPSTACK_TIMEOUT", 30))
-DEEPSTACK_CUSTOM_MODEL = os.getenv("DEEPSTACK_CUSTOM_MODEL", None)
 
 predictions = None
 
@@ -64,7 +70,7 @@ def process_image_face(pil_image, dsface):
 )
 
 if deepstack_mode == FACE:
-    st.title("Deepstack Face recogntion")
+    st.title("Deepstack Face recognition")
 
     img_file_buffer = st.file_uploader("Upload an image", type=["png", "jpg", "jpeg"])
     ## Process image
@@ -249,3 +255,7 @@ def process_image_face(pil_image, dsface):
 
     st.subheader("All filtered objects")
     st.write(objects)
+
+if DEEPSTACK_UI_DEBUG_MODE:
+    st.subheader("All predictions data from Deepstack")
+    st.write(predictions)