change fig src to panoptica repo to have single source of truth

Author: MarcelRosier

panoptica/README.md

@@ -11,7 +11,7 @@ The package allows to compute instance-wise segmentation quality metrics for 2D
 
 ### Semantic Segmentation Input
 
-<img src="https://github.com/BrainLesion/panoptica/blob/main/examples/spine_seg/semantic/fig_dark.png?raw=true" alt="semantic_figure" height="300"/>
+<img src="https://github.com/BrainLesion/panoptica/blob/main/examples/figures/semantic.png?raw=true" alt="semantic_figure" height="300"/>
 
 Although for many biomedical segmentation problems, an instance-wise evaluation is highly relevant and desirable, they are still addressed as semantic segmentation problems due to lack of appropriate instance labels.
 
@@ -21,7 +21,7 @@ Modules [1-3] can be used to obtain panoptic metrics of matched instances based
 
 ### Unmatched Instances Input
 
-<img src="https://github.com/BrainLesion/panoptica/blob/main/examples/spine_seg/unmatched_instance/fig_dark.png?raw=true" alt="unmatched_instance_figure" height="300"/>
+<img src="https://github.com/BrainLesion/panoptica/blob/main/examples/figures/unmatched_instance.png?raw=true" alt="unmatched_instance_figure" height="300"/>
 
 It is a common issue that instance segementation outputs have good segmentations with mismatched labels.
 
@@ -31,7 +31,7 @@ For this case modules [2-3] can be utilized to match the instances and report pa
 
 ### Matched Instances Input
 
-<img src="https://github.com/BrainLesion/panoptica/blob/main/examples/spine_seg/matched_instance/fig_dark.png?raw=true" alt="matched_instance_figure" height="300"/>
+<img src="https://github.com/BrainLesion/panoptica/blob/main/examples/figures/matched_instance.png?raw=true" alt="matched_instance_figure" height="300"/>
 
 Ideally the input data already provides matched instances.