Web UI

docs/data-providing-service.py

@@ -33,7 +33,7 @@ def save_annotation(annotations_folder: str, image_name: str, features, image_sh
     n_image_masks = len(
         [f for f in os.listdir(annotations_folder) if f.startswith(image_name)]
     )
-    mask_name = os.pth.join(
+    mask_name = os.path.join(
         annotations_folder, f"{image_name}_mask_{n_image_masks + 1}.tif"
     )
     imwrite(mask_name, mask)

plugins/bioimageio-colab-annotator.imjoy.html

@@ -26,7 +26,6 @@
         this.image = null; // Current image
         this.mask = null; // Current mask
         this.filename = null; // Filename of the current image
-        this.newname = null; // New name for the annotation file
         this.imageLayer = null; // Layer displaying the image
         this.annotationLayer = null; // Layer displaying the annotations
         this.edgeColor = "magenta"; // Default edge color for annotations
@@ -89,7 +88,7 @@
             }
 
             // Fetch a random image from the service
-            [this.image, this.filename, this.newname] = await dataProvider.get_random_image();
+            [this.image, this.filename] = await dataProvider.get_random_image();
             this.imageLayer = await viewer.view_image(this.image, {name: "image"});
 
             // Reset the predictorId for the new image
@@ -158,7 +157,7 @@
             if (!this.annotationLayer) return;
             const annotation = await this.annotationLayer.get_features();
             if (annotation.features.length > 0) {
-                await dataProvider.save_annotation(this.filename, this.newname, annotation, [this.image._rshape[0], this.image._rshape[1]]);
+                await dataProvider.save_annotation(this.filename, annotation, [this.image._rshape[0], this.image._rshape[1]]);
                 await api.showMessage(`Annotation Saved to ${this.filename}`);
             } else {
                 await api.showMessage("Skip saving annotation");